[
    {
        "biomarker_id": "AA4686-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-6",
                    "synonyms": [
                        {
                            "synonym": "IL-6"
                        },
                        {
                            "synonym": "B-cell stimulatory factor 2"
                        },
                        {
                            "synonym": "BSF-2"
                        },
                        {
                            "synonym": "CTL differentiation factor"
                        },
                        {
                            "synonym": "CDF"
                        },
                        {
                            "synonym": "Hybridoma growth factor"
                        },
                        {
                            "synonym": "Interferon beta-2"
                        },
                        {
                            "synonym": "IFN-beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05231",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26881-3"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "26881-3"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "10914713",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/10914713",
                        "evidence_list": [
                            {
                                "evidence": "Univariate analysis of all patients demonstrated that an extent of disease (EOD) on bone scanning > or = 1, IL-6 > or = 7 pg/ml, PS > or = 1, PSA > 100 ng/ml, and ALP > 620 IU/liter were associated with a significantly lower survival rate than their respective counterparts. In multivariate analysis, however, the only two significant prognostic factors were EOD and IL-6. These results indicate that the serum IL-6 level is a significant prognostic factor for prostate cancer as well as EOD."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32479790",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                        "evidence_list": [
                            {
                                "evidence": "IL-6 plays multifaceted roles in regulation of vascular leakage, complement activation, and coagulation pathways, which ultimately causes poor outcomes for acute respiratory distress syndrome, multiple organ dysfunction syndrome, and SARS."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH, these finds were similar to previous studies. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "10914713",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/10914713",
                "evidence_list": [
                    {
                        "evidence": "Univariate analysis of all patients demonstrated that an extent of disease (EOD) on bone scanning > or = 1, IL-6 > or = 7 pg/ml, PS > or = 1, PSA > 100 ng/ml, and ALP > 620 IU/liter were associated with a significantly lower survival rate than their respective counterparts. In multivariate analysis, however, the only two significant prognostic factors were EOD and IL-6. These results indicate that the serum IL-6 level is a significant prognostic factor for prostate cancer as well as EOD."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32479790",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                "evidence_list": [
                    {
                        "evidence": "IL-6 plays multifaceted roles in regulation of vascular leakage, complement activation, and coagulation pathways, which ultimately causes poor outcomes for acute respiratory distress syndrome, multiple organ dysfunction syndrome, and SARS."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH, these finds were similar to previous studies. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum interleukin 6 as a prognostic factor in patients with prostate cancer.",
                "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research",
                "authors": "Nakashima J, Tachibana M, Horiguchi Y, Oya M, Ohigashi T, Asakura H, Murai M",
                "date": "2000-07-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "10914713",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/10914713"
                    }
                ]
            },
            {
                "title": "Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study.",
                "journal": "The Lancet. Oncology",
                "authors": "Tian J, Yuan X, Xiao J, Zhong Q, Yang C, Liu B, Cai Y, Lu Z, Wang J, Wang Y, Liu S, Cheng B, Wang J, Zhang M, Wang L, Niu S, Yao Z, Deng X, Zhou F, Wei W, Li Q, Chen X, Chen W, Yang Q, Wu S, Fan J, Shu B, Hu Z, Wang S, Yang XP, Liu W, Miao X, Wang Z",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32479790",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790"
                    }
                ]
            },
            {
                "title": "Clinical characteristics and outcomes of cancer patients with COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Yang F, Shi S, Zhu J, Shi J, Dai K, Chen X",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32369209",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4686",
        "collision": 1
    },
    {
        "biomarker_id": "AA4686-2",
        "biomarker_component": [
            {
                "biomarker": "increased IL6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-6",
                    "synonyms": [
                        {
                            "synonym": "IL-6"
                        },
                        {
                            "synonym": "B-cell stimulatory factor 2"
                        },
                        {
                            "synonym": "BSF-2"
                        },
                        {
                            "synonym": "CTL differentiation factor"
                        },
                        {
                            "synonym": "CDF"
                        },
                        {
                            "synonym": "Hybridoma growth factor"
                        },
                        {
                            "synonym": "Interferon beta-2"
                        },
                        {
                            "synonym": "IFN-beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05231",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26881-3"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "26881-3"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32259560",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32259560",
                        "evidence_list": [
                            {
                                "evidence": "Serial measurement of circulating IL-6 levels may be important in identifying disease progression among COVID-19-infected patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32428990",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32428990",
                        "evidence_list": [
                            {
                                "evidence": "The decrease of IL-6 was closely related to treatment effectiveness, while the increase of IL-6 indicated disease exacerbation. Collectively, the dynamic change of IL-6 level can be used as a marker for disease monitoring in patients with severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32677844",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
                        "evidence_list": [
                            {
                                "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32438331",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                        "evidence_list": [
                            {
                                "evidence": "Clinical biomarkers for chronic inflammation, in particular Interleukin-6, predict the severity of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32234467",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32234467",
                        "evidence_list": [
                            {
                                "evidence": "Interleukin-6 (IL-6) plays an important role in cytokine release syndrome. If it is possible to block the signal transduction pathway of IL-6, it is expected to become a new method for the treatment of severe COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32442528",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32442528",
                        "evidence_list": [
                            {
                                "evidence": "findings in this study include determining independent associations between biomarkers for inflammation (interleukin-6) and thrombosis (D-dimer) and mortality."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines. T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased. lower levels of regulatory T cells."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32425269",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32425269",
                        "evidence_list": [
                            {
                                "evidence": "The maximal level of IL-6, followed by CRP level, was highly predictive of the need for mechanical ventilation. This suggests the possibility of using IL-6 or CRP level to guide escalation of treatment in patients with COVID-19-related hyperinflammatory syndrome."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "Since the proportionate rise of IL-6 is correlated with disease severity, this study can prove ground-breaking."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32385523",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32385523",
                        "evidence_list": [
                            {
                                "evidence": "Up-regulated IL-6 levels may serve as a potential marker for predicting progression of COVID19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32181911",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32181911",
                        "evidence_list": [
                            {
                                "evidence": "IL-6 and d-D were closely related to the occurrence of severe COVID-19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID-19 patients, which has important clinical value."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32438331",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                        "evidence_list": [
                            {
                                "evidence": "A deep network analysis has suggested clinical biomarkers predicting the higher risk of severe COVID-19 infection: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, and low Lymphocytes count. In particular, patients with diabetes, but also those with prediabetic state, deserve special attention."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32344321",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32344321",
                        "evidence_list": [
                            {
                                "evidence": "The serum levels of IL-6 and CRP can effectively assess disease severity and predict outcome in patients with COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32286245",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                        "evidence_list": [
                            {
                                "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32259560",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32259560",
                "evidence_list": [
                    {
                        "evidence": "Serial measurement of circulating IL-6 levels may be important in identifying disease progression among COVID-19-infected patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32428990",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32428990",
                "evidence_list": [
                    {
                        "evidence": "The decrease of IL-6 was closely related to treatment effectiveness, while the increase of IL-6 indicated disease exacerbation. Collectively, the dynamic change of IL-6 level can be used as a marker for disease monitoring in patients with severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32677844",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
                "evidence_list": [
                    {
                        "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32438331",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                "evidence_list": [
                    {
                        "evidence": "Clinical biomarkers for chronic inflammation, in particular Interleukin-6, predict the severity of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32234467",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32234467",
                "evidence_list": [
                    {
                        "evidence": "Interleukin-6 (IL-6) plays an important role in cytokine release syndrome. If it is possible to block the signal transduction pathway of IL-6, it is expected to become a new method for the treatment of severe COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32442528",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32442528",
                "evidence_list": [
                    {
                        "evidence": "findings in this study include determining independent associations between biomarkers for inflammation (interleukin-6) and thrombosis (D-dimer) and mortality."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines. T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased. lower levels of regulatory T cells."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32425269",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32425269",
                "evidence_list": [
                    {
                        "evidence": "The maximal level of IL-6, followed by CRP level, was highly predictive of the need for mechanical ventilation. This suggests the possibility of using IL-6 or CRP level to guide escalation of treatment in patients with COVID-19-related hyperinflammatory syndrome."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "Since the proportionate rise of IL-6 is correlated with disease severity, this study can prove ground-breaking."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32385523",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32385523",
                "evidence_list": [
                    {
                        "evidence": "Up-regulated IL-6 levels may serve as a potential marker for predicting progression of COVID19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32181911",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32181911",
                "evidence_list": [
                    {
                        "evidence": "IL-6 and d-D were closely related to the occurrence of severe COVID-19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID-19 patients, which has important clinical value."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32438331",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                "evidence_list": [
                    {
                        "evidence": "A deep network analysis has suggested clinical biomarkers predicting the higher risk of severe COVID-19 infection: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, and low Lymphocytes count. In particular, patients with diabetes, but also those with prediabetic state, deserve special attention."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32344321",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32344321",
                "evidence_list": [
                    {
                        "evidence": "The serum levels of IL-6 and CRP can effectively assess disease severity and predict outcome in patients with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32286245",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                "evidence_list": [
                    {
                        "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Interleukin-6 as a potential biomarker of COVID-19 progression.",
                "journal": "Medecine et maladies infectieuses",
                "authors": "Ulhaq ZS, Soraya GV",
                "date": "2020-04-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32259560",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32259560"
                    }
                ]
            },
            {
                "title": "The role of interleukin-6 in monitoring severe case of coronavirus disease 2019.",
                "journal": "EMBO molecular medicine",
                "authors": "Liu T, Zhang J, Yang Y, Ma H, Li Z, Zhang J, Cheng J, Zhang X, Zhao Y, Xia Z, Zhang L, Wu G, Yi J",
                "date": "2020-05-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "32428990",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32428990"
                    }
                ]
            },
            {
                "title": "The association between biomarkers and clinical outcomes in novel coronavirus\u00a0pneumonia in a US cohort.",
                "journal": "Biomarkers in medicine",
                "authors": "Ayanian S, Reyes J, Lynn L, Teufel K",
                "date": "2020-07-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32677844",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844"
                    }
                ]
            },
            {
                "title": "Diabetes and metabolic syndrome as risk factors for COVID-19.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Marhl M, Grubelnik V, Magdi\u010d M, Markovi\u010d R",
                "date": "2020-05-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "32438331",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "Cytokine release syndrome in severe COVID-19: interleukin-6 receptor antagonist tocilizumab may be the key to reduce mortality.",
                "journal": "International journal of antimicrobial agents",
                "authors": "Zhang C, Wu Z, Li JW, Zhao H, Wang GQ",
                "date": "2020-04-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "32234467",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32234467"
                    }
                ]
            },
            {
                "title": "Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study.",
                "journal": "Lancet (London, England)",
                "authors": "Cummings MJ, Baldwin MR, Abrams D, Jacobson SD, Meyer BJ, Balough EM, Aaron JG, Claassen J, Rabbani LE, Hastie J, Hochman BR, Salazar-Schicchi J, Yip NH, Brodie D, O'Donnell MR",
                "date": "2020-05-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32442528",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32442528"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19.",
                "journal": "The Journal of allergy and clinical immunology",
                "authors": "Herold T, Jurinovic V, Arnreich C, Lipworth BJ, Hellmuth JC, von Bergwelt-Baildon M, Klein M, Weinberger T",
                "date": "2020-05-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "32425269",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32425269"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "IL-6 may be a good biomarker for earlier detection of COVID-19 progression.",
                "journal": "Intensive care medicine",
                "authors": "Wang C, Fei D, Li X, Zhao M, Yu K",
                "date": "2020-05-10",
                "evidence": [],
                "reference": [
                    {
                        "id": "32385523",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32385523"
                    }
                ]
            },
            {
                "title": "Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Gao Y, Li T, Han M, Li X, Wu D, Xu Y, Zhu Y, Liu Y, Wang X, Wang L",
                "date": "2020-03-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32181911",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32181911"
                    }
                ]
            },
            {
                "title": "Diabetes and metabolic syndrome as risk factors for COVID-19.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Marhl M, Grubelnik V, Magdi\u010d M, Markovi\u010d R",
                "date": "2020-05-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "32438331",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331"
                    }
                ]
            },
            {
                "title": "Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19.",
                "journal": "Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology",
                "authors": "Liu F, Li L, Xu M, Wu J, Luo D, Zhu Y, Li B, Song X, Zhou X",
                "date": "2020-04-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "32344321",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32344321"
                    }
                ]
            },
            {
                "title": "Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.",
                "journal": "Clinical chemistry and laboratory medicine",
                "authors": "Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G",
                "date": "2020-04-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32286245",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4686",
        "collision": 1
    },
    {
        "biomarker_id": "AA4686-3",
        "biomarker_component": [
            {
                "biomarker": "increased IL6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-6",
                    "synonyms": [
                        {
                            "synonym": "IL-6"
                        },
                        {
                            "synonym": "B-cell stimulatory factor 2"
                        },
                        {
                            "synonym": "BSF-2"
                        },
                        {
                            "synonym": "CTL differentiation factor"
                        },
                        {
                            "synonym": "CDF"
                        },
                        {
                            "synonym": "Hybridoma growth factor"
                        },
                        {
                            "synonym": "Interferon beta-2"
                        },
                        {
                            "synonym": "IFN-beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05231",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26881-3"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "26881-3"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32479790",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                        "evidence_list": [
                            {
                                "evidence": "IL-6 plays multifaceted roles in regulation of vascular leakage, complement activation, and coagulation pathways, which ultimately causes poor outcomes for acute respiratory distress syndrome, multiple organ dysfunction syndrome, and SARS."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH, these finds were similar to previous studies. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "32479790",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                "evidence_list": [
                    {
                        "evidence": "IL-6 plays multifaceted roles in regulation of vascular leakage, complement activation, and coagulation pathways, which ultimately causes poor outcomes for acute respiratory distress syndrome, multiple organ dysfunction syndrome, and SARS."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH, these finds were similar to previous studies. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study.",
                "journal": "The Lancet. Oncology",
                "authors": "Tian J, Yuan X, Xiao J, Zhong Q, Yang C, Liu B, Cai Y, Lu Z, Wang J, Wang Y, Liu S, Cheng B, Wang J, Zhang M, Wang L, Niu S, Yao Z, Deng X, Zhou F, Wei W, Li Q, Chen X, Chen W, Yang Q, Wu S, Fan J, Shu B, Hu Z, Wang S, Yang XP, Liu W, Miao X, Wang Z",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32479790",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790"
                    }
                ]
            },
            {
                "title": "Clinical characteristics and outcomes of cancer patients with COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Yang F, Shi S, Zhu J, Shi J, Dai K, Chen X",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32369209",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4686",
        "collision": 1
    },
    {
        "biomarker_id": "AA4686-4",
        "biomarker_component": [
            {
                "biomarker": "increased IL6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-6",
                    "synonyms": [
                        {
                            "synonym": "IL-6"
                        },
                        {
                            "synonym": "B-cell stimulatory factor 2"
                        },
                        {
                            "synonym": "BSF-2"
                        },
                        {
                            "synonym": "CTL differentiation factor"
                        },
                        {
                            "synonym": "CDF"
                        },
                        {
                            "synonym": "Hybridoma growth factor"
                        },
                        {
                            "synonym": "Interferon beta-2"
                        },
                        {
                            "synonym": "IFN-beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05231",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26881-3"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "26881-3"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32479790",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                        "evidence_list": [
                            {
                                "evidence": "IL-6 plays multifaceted roles in regulation of vascular leakage, complement activation, and coagulation pathways, which ultimately causes poor outcomes for acute respiratory distress syndrome, multiple organ dysfunction syndrome, and SARS."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH, these finds were similar to previous studies. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:11054",
            "recommended_name": {
                "id": "DOID:11054",
                "name": "urinary bladder cancer",
                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11054"
            },
            "synonyms": [
                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32479790",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
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                "title": "Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control?",
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                "title": "Interleukin-6 and Interleukin-15 as Possible Biomarkers of the Risk of Autoimmune Diabetes Development.",
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                                "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
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                                "evidence": "We found that pro-inflammatory and infection-related biomarkers, including TNF-alpha, IL-6, procalcitonin, and C-reactive protein, as well as organ damage indices (leucocytes, neutrophils, and lactate dehydrogenase), coagulation-related indicators (D-dimer, prothrombin time, and activated partial thromboplastin time), and NT-proBNP were significantly associated with worse severity of COVID-19 in patients with cancer."
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32479790",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                "evidence_list": [
                    {
                        "evidence": "We found that pro-inflammatory and infection-related biomarkers, including TNF-alpha, IL-6, procalcitonin, and C-reactive protein, as well as organ damage indices (leucocytes, neutrophils, and lactate dehydrogenase), coagulation-related indicators (D-dimer, prothrombin time, and activated partial thromboplastin time), and NT-proBNP were significantly associated with worse severity of COVID-19 in patients with cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics and outcomes of cancer patients with COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Yang F, Shi S, Zhu J, Shi J, Dai K, Chen X",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32369209",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209"
                    }
                ]
            },
            {
                "title": "Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study.",
                "journal": "The Lancet. Oncology",
                "authors": "Tian J, Yuan X, Xiao J, Zhong Q, Yang C, Liu B, Cai Y, Lu Z, Wang J, Wang Y, Liu S, Cheng B, Wang J, Zhang M, Wang L, Niu S, Yao Z, Deng X, Zhou F, Wei W, Li Q, Chen X, Chen W, Yang Q, Wu S, Fan J, Shu B, Hu Z, Wang S, Yang XP, Liu W, Miao X, Wang Z",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32479790",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4071",
        "collision": 1
    },
    {
        "biomarker_id": "AN4071-2",
        "biomarker_component": [
            {
                "biomarker": "increased PCT level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Procalcitonin",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PCCID:56841902",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33959-8"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "33959-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32145275",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32145275",
                        "evidence_list": [
                            {
                                "evidence": "Procalcitonin values are associated with a nearly 5-fold higher risk of severe SARS-COV-2 infection."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "Compared with the nonsevere group, most of severe cases demonstrated elevated levels of infection-related biomarkers, including procalcitonin (0.1 vs 0.05 ng/mL; P < .001), serum ferritin (800.4 vs 523.7 ng/mL; P < .001), and C-reactive protein (57.9 vs 33.2 mg/L; P < .001)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32220650",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                        "evidence_list": [
                            {
                                "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32615866",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                        "evidence_list": [
                            {
                                "evidence": "The serum levels of CRP, PCT and ferritin are markedly increased in very severe compared with severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32615866",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                        "evidence_list": [
                            {
                                "evidence": "This meta-analysis showed that an elevated serum CRP, PCT, D-dimer, and ferritin were associated with a poor outcome in COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32145275",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32145275",
                        "evidence_list": [
                            {
                                "evidence": "Serial procalcitonin measurement may play a role for predicting evolution towards a more severe form of disease."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32282949",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32282949",
                        "evidence_list": [
                            {
                                "evidence": "Increased procalcitonin values were associated with a nearly 5-fold higher risk of severe infection (OR = 4.76; 95% CI: 2.74-8.29, I2 = 34%)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32145275",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32145275",
                "evidence_list": [
                    {
                        "evidence": "Procalcitonin values are associated with a nearly 5-fold higher risk of severe SARS-COV-2 infection."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Compared with the nonsevere group, most of severe cases demonstrated elevated levels of infection-related biomarkers, including procalcitonin (0.1 vs 0.05 ng/mL; P < .001), serum ferritin (800.4 vs 523.7 ng/mL; P < .001), and C-reactive protein (57.9 vs 33.2 mg/L; P < .001)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32220650",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                "evidence_list": [
                    {
                        "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32615866",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                "evidence_list": [
                    {
                        "evidence": "The serum levels of CRP, PCT and ferritin are markedly increased in very severe compared with severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32615866",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                "evidence_list": [
                    {
                        "evidence": "This meta-analysis showed that an elevated serum CRP, PCT, D-dimer, and ferritin were associated with a poor outcome in COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32145275",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32145275",
                "evidence_list": [
                    {
                        "evidence": "Serial procalcitonin measurement may play a role for predicting evolution towards a more severe form of disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32282949",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32282949",
                "evidence_list": [
                    {
                        "evidence": "Increased procalcitonin values were associated with a nearly 5-fold higher risk of severe infection (OR = 4.76; 95% CI: 2.74-8.29, I2 = 34%)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis.",
                "journal": "Clinica chimica acta; international journal of clinical chemistry",
                "authors": "Lippi G, Plebani M",
                "date": "2020-03-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32145275",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32145275"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study.",
                "journal": "The Lancet. Infectious diseases",
                "authors": "Qiu H, Wu J, Hong L, Luo Y, Song Q, Chen D",
                "date": "2020-03-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32220650",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650"
                    }
                ]
            },
            {
                "title": "C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis.",
                "journal": "Therapeutic advances in respiratory disease",
                "authors": "Huang I, Pranata R, Lim MA, Oehadian A, Alisjahbana B",
                "date": "2020-07-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32615866",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866"
                    }
                ]
            },
            {
                "title": "C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis.",
                "journal": "Therapeutic advances in respiratory disease",
                "authors": "Huang I, Pranata R, Lim MA, Oehadian A, Alisjahbana B",
                "date": "2020-07-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32615866",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866"
                    }
                ]
            },
            {
                "title": "Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis.",
                "journal": "Clinica chimica acta; international journal of clinical chemistry",
                "authors": "Lippi G, Plebani M",
                "date": "2020-03-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32145275",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32145275"
                    }
                ]
            },
            {
                "title": "Hematological findings and complications of COVID-19.",
                "journal": "American journal of hematology",
                "authors": "Terpos E, Ntanasis-Stathopoulos I, Elalamy I, Kastritis E, Sergentanis TN, Politou M, Psaltopoulou T, Gerotziafas G, Dimopoulos MA",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32282949",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32282949"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4071",
        "collision": 1
    },
    {
        "biomarker_id": "AN4071-3",
        "biomarker_component": [
            {
                "biomarker": "increased PCT level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Procalcitonin",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PCCID:56841902",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33959-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31485450",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31485450",
                        "evidence_list": [
                            {
                                "evidence": "Procalcitonin is a prognostic marker of hospital outcomes in patients with Critical Limb Ischemia and Diabetic Foot Infection. It could be assumed that PCT may be useful for early diagnosis of systemic inflammatory response including nonseptic patients. It could help to identify high risk patients even without clear clinical signs and may be used to improve clinician's strategies (i.e., need of intensive unit, reinforcement of antibiotic therapy, and close monitoring of vital signs, hemodynamic parameters, and laboratory values)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31485450",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31485450",
                "evidence_list": [
                    {
                        "evidence": "Procalcitonin is a prognostic marker of hospital outcomes in patients with Critical Limb Ischemia and Diabetic Foot Infection. It could be assumed that PCT may be useful for early diagnosis of systemic inflammatory response including nonseptic patients. It could help to identify high risk patients even without clear clinical signs and may be used to improve clinician's strategies (i.e., need of intensive unit, reinforcement of antibiotic therapy, and close monitoring of vital signs, hemodynamic parameters, and laboratory values)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Procalcitonin Is a Prognostic Marker of Hospital Outcomes in Patients with Critical Limb Ischemia and Diabetic Foot Infection.",
                "journal": "Journal of diabetes research",
                "authors": "Meloni M, Izzo V, Giurato L, Brocco E, Ferrannini M, Gandini R, Uccioli L",
                "date": "2019-09-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "31485450",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31485450"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4071",
        "collision": 1
    },
    {
        "biomarker_id": "AA4687-1",
        "biomarker_component": [
            {
                "biomarker": "increased WBC count",
                "assessed_biomarker_entity": {
                    "recommended_name": "White blood cell",
                    "synonyms": [
                        {
                            "synonym": "immune cell"
                        },
                        {
                            "synonym": "leucocyte"
                        },
                        {
                            "synonym": "white blood cell"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CO:CL_0000738",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26464-8"
                    },
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32286245",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                        "evidence_list": [
                            {
                                "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "33349241",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33349241",
                        "evidence_list": [
                            {
                                "evidence": "With following parameters such as age >67.5 years, IL2R >793.5U/mL, CRP >30.7ng/mL, ferroprotein >2252ug/L, WBC>9.5x10^9/L or NC >7.305x10^9/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32161940",
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                                "evidence": "Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
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                        ],
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                                "tag": "biomarker"
                            },
                            {
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                                "evidence": "Patients with flu had higher WBC, granulocyte and granulocyte/lymphocyte ratio, compared with COVID-19 patients."
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                            {
                                "evidence": "A retrospective study including 187 patients with COVID-19 from another hospital in Wuhan showed that patients with high troponin-T levels had leukocytosis (P < .001), increased neutrophils (P < .001) and decreased lymphocytes (P = .01)."
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                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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        ],
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                {
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                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                {
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                "database": "Pubmed",
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                        "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
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            },
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                "id": "33349241",
                "database": "Pubmed",
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                ],
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                    {
                        "tag": "condition"
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            },
            {
                "id": "32161940",
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                        "evidence": "Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
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                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Patients with flu had higher WBC, granulocyte and granulocyte/lymphocyte ratio, compared with COVID-19 patients."
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                ],
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                "id": "32282949",
                "database": "Pubmed",
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                    {
                        "evidence": "A retrospective study including 187 patients with COVID-19 from another hospital in Wuhan showed that patients with high troponin-T levels had leukocytosis (P < .001), increased neutrophils (P < .001) and decreased lymphocytes (P = .01)."
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                ],
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                    {
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        "citation": [
            {
                "title": "Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.",
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                "authors": "Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G",
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                        "id": "32286245",
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                ]
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            {
                "title": "Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: a retrospective study.",
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                "authors": "Gong J, Dong H, Xia QS, Huang ZY, Wang DK, Zhao Y, Liu WH, Tu SH, Zhang MM, Wang Q, Lu FE",
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                ]
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                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
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                        "id": "32161940",
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                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
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                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
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            {
                "title": "Hematological findings and complications of COVID-19.",
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                "authors": "Terpos E, Ntanasis-Stathopoulos I, Elalamy I, Kastritis E, Sergentanis TN, Politou M, Psaltopoulou T, Gerotziafas G, Dimopoulos MA",
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                    {
                        "id": "32282949",
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                                "tag": "biomarker"
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                "title": "Leukocytosis, prognosis biomarker in locally advanced head and neck cancer patients after chemoradiotherapy.",
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                                "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
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                                "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
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                        ],
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                                "tag": "biomarker"
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        "condition": {
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                "id": "DOID:1324",
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                "id": "32224151",
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                        "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
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                ],
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            },
            {
                "id": "32357994",
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                    {
                        "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
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                ],
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        ],
        "citation": [
            {
                "title": "Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.",
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                "authors": "Mehta V, Goel S, Kabarriti R, Cole D, Goldfinger M, Acuna-Villaorduna A, Pradhan K, Thota R, Reissman S, Sparano JA, Gartrell BA, Smith RV, Ohri N, Garg M, Racine AD, Kalnicki S, Perez-Soler R, Halmos B, Verma A",
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        "biomarker_id": "AA4687-4",
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                                "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
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                    {
                        "id": "32357994",
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                                "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
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                {
                    "id": "DOID:5041",
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                {
                    "id": "DOID:5041",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
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                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
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                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32224151",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32224151",
                "evidence_list": [
                    {
                        "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32357994",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32357994",
                "evidence_list": [
                    {
                        "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.",
                "journal": "Annals of oncology : official journal of the European Society for Medical Oncology",
                "authors": "Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Chen Y, Peng P, Zhang P, Chu Q, Shen Q, Wang Y, Xu SY, Zhao JP, Zhou M",
                "date": "2020-04-01",
                "evidence": [],
                "reference": [
                    {
                        "id": "32224151",
                        "type": "Pubmed",
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                    }
                ]
            },
            {
                "title": "Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital System.",
                "journal": "Cancer discovery",
                "authors": "Mehta V, Goel S, Kabarriti R, Cole D, Goldfinger M, Acuna-Villaorduna A, Pradhan K, Thota R, Reissman S, Sparano JA, Gartrell BA, Smith RV, Ohri N, Garg M, Racine AD, Kalnicki S, Perez-Soler R, Halmos B, Verma A",
                "date": "2020-05-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "32357994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32357994"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4687",
        "collision": 1
    },
    {
        "biomarker_id": "AA4687-5",
        "biomarker_component": [
            {
                "biomarker": "increased WBC count",
                "assessed_biomarker_entity": {
                    "recommended_name": "White blood cell",
                    "synonyms": [
                        {
                            "synonym": "immune cell"
                        },
                        {
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                "assessed_biomarker_entity_id": "CO:CL_0000738",
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                    {
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                "evidence_source": [
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                            {
                                "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                            },
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                        ]
                    },
                    {
                        "id": "32357994",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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        "best_biomarker_role": [
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                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
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                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32224151",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32224151",
                "evidence_list": [
                    {
                        "evidence": "The blood count results showed anaemia in 21 (75%) patients, leucopaenia in 9 (32.1%) patients, and lymphopaenia in 23 (82.1%) patients.  Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32357994",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32357994",
                "evidence_list": [
                    {
                        "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality (Table 3). Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying (Table 3)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.",
                "journal": "Annals of oncology : official journal of the European Society for Medical Oncology",
                "authors": "Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Chen Y, Peng P, Zhang P, Chu Q, Shen Q, Wang Y, Xu SY, Zhao JP, Zhou M",
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                "evidence": [],
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                    {
                        "id": "32224151",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32224151"
                    }
                ]
            },
            {
                "title": "Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital System.",
                "journal": "Cancer discovery",
                "authors": "Mehta V, Goel S, Kabarriti R, Cole D, Goldfinger M, Acuna-Villaorduna A, Pradhan K, Thota R, Reissman S, Sparano JA, Gartrell BA, Smith RV, Ohri N, Garg M, Racine AD, Kalnicki S, Perez-Soler R, Halmos B, Verma A",
                "date": "2020-05-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "32357994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32357994"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4687",
        "collision": 1
    },
    {
        "biomarker_id": "AA4688-1",
        "biomarker_component": [
            {
                "biomarker": "decreased LYMP count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lymphocyte",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
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                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                    }
                ],
                "evidence_source": [
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
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        },
        "evidence_source": [
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics and outcomes of cancer patients with COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Yang F, Shi S, Zhu J, Shi J, Dai K, Chen X",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32369209",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4688",
        "collision": 1
    },
    {
        "biomarker_id": "AA4688-2",
        "biomarker_component": [
            {
                "biomarker": "decreased LYMP count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lymphocyte",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "21448592",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21448592",
                        "evidence_list": [
                            {
                                "evidence": "Lymphopenia was found in 49/260 (19%) of patients. Ten of these 49 patients had severe hematological toxicity. Lymphopenia was strongly associated with shorter progression-free survival (median 4 vs. 7 months; P = 0.033) and shorter overall survival (median 16 vs. 24 months, P = 0.024). Multivariate analysis revealed that lymphopenia had an independent effect on survival. Lymphopenia in conclusion is proven to be an independent predictive factor for chemotherapy and hematological toxicity in colorectal cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "21448592",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/21448592",
                "evidence_list": [
                    {
                        "evidence": "Lymphopenia was found in 49/260 (19%) of patients. Ten of these 49 patients had severe hematological toxicity. Lymphopenia was strongly associated with shorter progression-free survival (median 4 vs. 7 months; P = 0.033) and shorter overall survival (median 16 vs. 24 months, P = 0.024). Multivariate analysis revealed that lymphopenia had an independent effect on survival. Lymphopenia in conclusion is proven to be an independent predictive factor for chemotherapy and hematological toxicity in colorectal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Pre-treatment lymphopenia as a prognostic biomarker in colorectal cancer patients receiving chemotherapy.",
                "journal": "Cancer chemotherapy and pharmacology",
                "authors": "C\u00e9z\u00e9 N, Thibault G, Goujon G, Viguier J, Watier H, Dorval E, Lecomte T",
                "date": "2011-03-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "21448592",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21448592"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4688",
        "collision": 1
    },
    {
        "biomarker_id": "AA4688-3",
        "biomarker_component": [
            {
                "biomarker": "decreased LYMP count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lymphocyte",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26474-7"
                    },
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32277967",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                        "evidence_list": [
                            {
                                "evidence": "Patients with higher initial SAA are more likely to have poor CT imaging. Our study indicated that SAA/L. CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "Lymphocytes and platelet count showed significantly lower levels in severe patients compared to non-severe patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32048163",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                        "evidence_list": [
                            {
                                "evidence": "the combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32438331",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                        "evidence_list": [
                            {
                                "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Clinical biomarkers predicting the higher risk: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, decreased Lymphocytes count."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32471703",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                        "evidence_list": [
                            {
                                "evidence": "We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32352397",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32352397",
                        "evidence_list": [
                            {
                                "evidence": "In this study, the most important finding was that the neutrophil count, lymphocyte count and platelet count were independent risk factors for predicting the development of severe illness in COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32377400",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32377400",
                        "evidence_list": [
                            {
                                "evidence": "Lymphopenia is an effective and reliable indicator of the severity and hospitalization in COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32286245",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                        "evidence_list": [
                            {
                                "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32277967",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                        "evidence_list": [
                            {
                                "evidence": "SAA and Lymphocytes are sensitive indicators in evaluating the severity and prognosis of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32220650",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                        "evidence_list": [
                            {
                                "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32077115",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32077115",
                        "evidence_list": [
                            {
                                "evidence": "Detailed clinical investigation of 140 hospitalized COVID-19 cases suggests eosinopenia together with lymphopenia may be a potential indicator for diagnosis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32376308",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32376308",
                        "evidence_list": [
                            {
                                "evidence": "Lymphopenia is a prominent part of severe COVID-19 and a lymphocyte count of less than 1.5 x 10^9/L may be useful in predicting the severity clinical outcomes."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            },
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32277967",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                "evidence_list": [
                    {
                        "evidence": "Patients with higher initial SAA are more likely to have poor CT imaging. Our study indicated that SAA/L. CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "Lymphocytes and platelet count showed significantly lower levels in severe patients compared to non-severe patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32048163",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                "evidence_list": [
                    {
                        "evidence": "the combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32438331",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                "evidence_list": [
                    {
                        "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Clinical biomarkers predicting the higher risk: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, decreased Lymphocytes count."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32471703",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                "evidence_list": [
                    {
                        "evidence": "We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32352397",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32352397",
                "evidence_list": [
                    {
                        "evidence": "In this study, the most important finding was that the neutrophil count, lymphocyte count and platelet count were independent risk factors for predicting the development of severe illness in COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32377400",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32377400",
                "evidence_list": [
                    {
                        "evidence": "Lymphopenia is an effective and reliable indicator of the severity and hospitalization in COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32286245",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                "evidence_list": [
                    {
                        "evidence": "In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32277967",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                "evidence_list": [
                    {
                        "evidence": "SAA and Lymphocytes are sensitive indicators in evaluating the severity and prognosis of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32220650",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                "evidence_list": [
                    {
                        "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32077115",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32077115",
                "evidence_list": [
                    {
                        "evidence": "Detailed clinical investigation of 140 hospitalized COVID-19 cases suggests eosinopenia together with lymphopenia may be a potential indicator for diagnosis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32376308",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32376308",
                "evidence_list": [
                    {
                        "evidence": "Lymphopenia is a prominent part of severe COVID-19 and a lymphocyte count of less than 1.5 x 10^9/L may be useful in predicting the severity clinical outcomes."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.",
                "journal": "The Journal of infection",
                "authors": "Li H, Xiang X, Ren H, Xu L, Zhao L, Chen X, Long H, Wang Q, Wu Q",
                "date": "2020-04-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "32277967",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury.",
                "journal": "Science China. Life sciences",
                "authors": "Liu Y, Yang Y, Zhang C, Huang F, Wang F, Yuan J, Wang Z, Li J, Li J, Feng C, Zhang Z, Wang L, Peng L, Chen L, Qin Y, Zhao D, Tan S, Yin L, Xu J, Zhou C, Jiang C, Liu L",
                "date": "2020-02-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32048163",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163"
                    }
                ]
            },
            {
                "title": "Diabetes and metabolic syndrome as risk factors for COVID-19.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Marhl M, Grubelnik V, Magdi\u010d M, Markovi\u010d R",
                "date": "2020-05-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "32438331",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32438331"
                    }
                ]
            },
            {
                "title": "Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room.",
                "journal": "Archives of medical research",
                "authors": "Assandri R, Buscarini E, Canetta C, Scartabellati A, Vigan\u00f2 G, Montanelli A",
                "date": "2020-05-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "32471703",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703"
                    }
                ]
            },
            {
                "title": "The hemocyte counts as a potential biomarker for predicting disease progression in COVID-19: a retrospective study.",
                "journal": "Clinical chemistry and laboratory medicine",
                "authors": "Zheng Y, Zhang Y, Chi H, Chen S, Peng M, Luo L, Chen L, Li J, Shen B, Wang D",
                "date": "2020-05-01",
                "evidence": [],
                "reference": [
                    {
                        "id": "32352397",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32352397"
                    }
                ]
            },
            {
                "title": "Correction: Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study.",
                "journal": "Signal transduction and targeted therapy",
                "authors": "Tan L, Wang Q, Zhang D, Ding J, Huang Q, Tang YQ, Wang Q, Miao H",
                "date": "2020-05-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32377400",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32377400"
                    }
                ]
            },
            {
                "title": "Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.",
                "journal": "Clinical chemistry and laboratory medicine",
                "authors": "Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G",
                "date": "2020-04-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32286245",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245"
                    }
                ]
            },
            {
                "title": "Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.",
                "journal": "The Journal of infection",
                "authors": "Li H, Xiang X, Ren H, Xu L, Zhao L, Chen X, Long H, Wang Q, Wu Q",
                "date": "2020-04-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "32277967",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study.",
                "journal": "The Lancet. Infectious diseases",
                "authors": "Qiu H, Wu J, Hong L, Luo Y, Song Q, Chen D",
                "date": "2020-03-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32220650",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650"
                    }
                ]
            },
            {
                "title": "Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China.",
                "journal": "Allergy",
                "authors": "Zhang JJ, Dong X, Cao YY, Yuan YD, Yang YB, Yan YQ, Akdis CA, Gao YD",
                "date": "2020-02-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32077115",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32077115"
                    }
                ]
            },
            {
                "title": "Lymphopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A systemic review and meta-analysis.",
                "journal": "International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases",
                "authors": "Zhao Q, Meng M, Kumar R, Wu Y, Huang J, Deng Y, Weng Z, Yang L",
                "date": "2020-05-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32376308",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32376308"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4688",
        "collision": 1
    },
    {
        "biomarker_id": "AA4688-4",
        "biomarker_component": [
            {
                "biomarker": "decreased LYMP count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lymphocyte",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "19549917",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19549917",
                        "evidence_list": [
                            {
                                "evidence": "In multivariate analysis (Cox model), lymphopenia was an independent prognostic factor for overall survival in metastatic breast cancer (RR: 1.8; 95%CI 1.3-2.4) along with liver metastases and PS; in advanced soft-tissue sarcoma (RR: 1.46; 95%CI 1.0-2.1) along with liver metastases, lung metastases and PS; and in non-Hodgkin's lymphoma (RR: 1.48; 95%CI 1.03-2.1) along with IPI. Our findings demonstrate that lymphopenia is an independent prognostic factor for overall and progression-free survival in several cancers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "19549917",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/19549917",
                "evidence_list": [
                    {
                        "evidence": "In multivariate analysis (Cox model), lymphopenia was an independent prognostic factor for overall survival in metastatic breast cancer (RR: 1.8; 95%CI 1.3-2.4) along with liver metastases and PS; in advanced soft-tissue sarcoma (RR: 1.46; 95%CI 1.0-2.1) along with liver metastases, lung metastases and PS; and in non-Hodgkin's lymphoma (RR: 1.48; 95%CI 1.03-2.1) along with IPI. Our findings demonstrate that lymphopenia is an independent prognostic factor for overall and progression-free survival in several cancers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas.",
                "journal": "Cancer research",
                "authors": "Ray-Coquard I, Cropet C, Van Glabbeke M, Sebban C, Le Cesne A, Judson I, Tredan O, Verweij J, Biron P, Labidi I, Guastalla JP, Bachelot T, Perol D, Chabaud S, Hogendoorn PC, Cassier P, Dufresne A, Blay JY, None None",
                "date": "2009-06-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "19549917",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19549917"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4688",
        "collision": 1
    },
    {
        "biomarker_id": "AA4688-5",
        "biomarker_component": [
            {
                "biomarker": "decreased LYMP count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lymphocyte",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "26474-7"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "15225139",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/15225139",
                        "evidence_list": [
                            {
                                "evidence": "In the present study, the number of leukocytes was increased but that of lymphocytes was decreased in diabetic patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
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                "biomarker": "increased CRP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "C-reactive protein",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02741",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "71426-1"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "71426-1"
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
                        "loinc_code": "71426-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32277967",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                        "evidence_list": [
                            {
                                "evidence": "SAA/L, CRP, SAA, and L count are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32677844",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
                        "evidence_list": [
                            {
                                "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32347972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                        "evidence_list": [
                            {
                                "evidence": "The positive correlations between CRP and series cancer biomarkers we showed in this study demonstrate that these cancer biomarkers can present the diffuse and acute lung injuries in COVID-19. CRP increased in 95% of all cases; the increases were significant for all groups (mild: 13.5\u2009\u00b1\u200913.1; severe: 35.0\u2009\u00b1\u200939.2; critical: 66.1\u2009\u00b1\u200967.3; in mg/L; P\u2009=\u2009.002)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "33349241",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33349241",
                        "evidence_list": [
                            {
                                "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] With following parameters such as age >67.5 years, IL2R >793.5U/mL, CRP >30.7ng/mL, ferroprotein >2252ug/L, WBC>9.5x10^9/L or NC >7.305x10^9/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "Surveillance of NLR and lymphocyte subsets is helpful in the early screening of critical illness, diagnosis, and treatment of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32425269",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32425269",
                        "evidence_list": [
                            {
                                "evidence": "The maximal level of IL-6, followed by CRP level, was highly predictive of the need for mechanical ventilation. This suggests the possibility of using IL-6 or CRP level to guide escalation of treatment in patients with COVID-19-related hyperinflammatory syndrome."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32566572",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32566572",
                        "evidence_list": [
                            {
                                "evidence": "NLR and CRP are potential and reliable predictors of COVID-19 prognosis and can triage patients at the time of admission."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32243911",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32243911",
                        "evidence_list": [
                            {
                                "evidence": "At the early stage of COVID-19, CRP levels were positively correlated with lung lesions. CRP levels could reflect disease severity and should be used as a key indicator for disease monitoring."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32296824",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32296824",
                        "evidence_list": [
                            {
                                "evidence": "We found that old age, and higher serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width, blood urea nitrogen, direct bilirubin, lower albumin, are associated with severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32281668",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                        "evidence_list": [
                            {
                                "evidence": "CRP changes before other blood parameters and thus may be an effective evaluation index for patients with COVID-19 infection. [DOI:10.1101/2020.03.10.20033613] CRP in severe COVID-19 patients increased significantly at the initial stage, before CT findings. Importantly, CRP, which was associated with disease development, predicted early severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32368728",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32368728",
                        "evidence_list": [
                            {
                                "evidence": "The combination of eosinopenia and elevated hs-CRP can effectively triage suspected COVID-19 patients from other patients attending the fever clinic with COVID-19-like initial symptoms."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32277967",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                        "evidence_list": [
                            {
                                "evidence": "Patients with higher initial SAA are more likely to have poor CT imaging. Our study indicated that SAA/L. CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "CRP is one of the first biomarkers within blood plasma that changes to reflect physiological complications; if accepted CRP will be the most effective biomarker to predict the progression of COVID-19 infection. CRP values are more reliable for earlier identification of case severity."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32281668",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                        "evidence_list": [
                            {
                                "evidence": "CRP which was associated with disease development, predicted early severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32511972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511972",
                        "evidence_list": [
                            {
                                "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Concentrations of CRP remained high in patients who died of COVID-19 infection, and CRP could be a biomarker for assessing disease lethality."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32344321",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32344321",
                        "evidence_list": [
                            {
                                "evidence": "The serum levels of IL-6 and CRP can effectively assess disease severity and predict outcome in patients with COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32615866",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                        "evidence_list": [
                            {
                                "evidence": "The serum levels of CRP, PCT and ferritin are markedly increased in very severe compared with severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32471703",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                        "evidence_list": [
                            {
                                "evidence": "We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32414383",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32414383",
                        "evidence_list": [
                            {
                                "evidence": "The plasma CRP level is positively correlated to the severity of COVID-19 on CT performance, and higher level of CRP showed a longer inpatient duration."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32048163",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                        "evidence_list": [
                            {
                                "evidence": "The combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32277967",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                        "evidence_list": [
                            {
                                "evidence": "SAA/L, CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32243911",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32243911",
                        "evidence_list": [
                            {
                                "evidence": "Best baseline predictors of respiratory failure were suPAR with an AUC (95% CI) of 0.88 (0.80-0.95), EWS 0.84 (0.75-0.93), LDH 0.82 (0.71-0.93), and CRP 0.80 (0.70-0.89. [DOI:10.1101/2020.05.27.20114678] At the early stage of COVID-19, CRP levels were positively cor-related with lung lesions. CRP levels could reflect disease severity and should be used as a key indicator for disease monitoring."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            },
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32277967",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                "evidence_list": [
                    {
                        "evidence": "SAA/L, CRP, SAA, and L count are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32677844",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
                "evidence_list": [
                    {
                        "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32347972",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                "evidence_list": [
                    {
                        "evidence": "The positive correlations between CRP and series cancer biomarkers we showed in this study demonstrate that these cancer biomarkers can present the diffuse and acute lung injuries in COVID-19. CRP increased in 95% of all cases; the increases were significant for all groups (mild: 13.5\u2009\u00b1\u200913.1; severe: 35.0\u2009\u00b1\u200939.2; critical: 66.1\u2009\u00b1\u200967.3; in mg/L; P\u2009=\u2009.002)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "33349241",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/33349241",
                "evidence_list": [
                    {
                        "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] With following parameters such as age >67.5 years, IL2R >793.5U/mL, CRP >30.7ng/mL, ferroprotein >2252ug/L, WBC>9.5x10^9/L or NC >7.305x10^9/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Surveillance of NLR and lymphocyte subsets is helpful in the early screening of critical illness, diagnosis, and treatment of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32425269",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32425269",
                "evidence_list": [
                    {
                        "evidence": "The maximal level of IL-6, followed by CRP level, was highly predictive of the need for mechanical ventilation. This suggests the possibility of using IL-6 or CRP level to guide escalation of treatment in patients with COVID-19-related hyperinflammatory syndrome."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32566572",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32566572",
                "evidence_list": [
                    {
                        "evidence": "NLR and CRP are potential and reliable predictors of COVID-19 prognosis and can triage patients at the time of admission."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32243911",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32243911",
                "evidence_list": [
                    {
                        "evidence": "At the early stage of COVID-19, CRP levels were positively correlated with lung lesions. CRP levels could reflect disease severity and should be used as a key indicator for disease monitoring."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32296824",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32296824",
                "evidence_list": [
                    {
                        "evidence": "We found that old age, and higher serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width, blood urea nitrogen, direct bilirubin, lower albumin, are associated with severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32281668",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                "evidence_list": [
                    {
                        "evidence": "CRP changes before other blood parameters and thus may be an effective evaluation index for patients with COVID-19 infection. [DOI:10.1101/2020.03.10.20033613] CRP in severe COVID-19 patients increased significantly at the initial stage, before CT findings. Importantly, CRP, which was associated with disease development, predicted early severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32368728",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32368728",
                "evidence_list": [
                    {
                        "evidence": "The combination of eosinopenia and elevated hs-CRP can effectively triage suspected COVID-19 patients from other patients attending the fever clinic with COVID-19-like initial symptoms."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32277967",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                "evidence_list": [
                    {
                        "evidence": "Patients with higher initial SAA are more likely to have poor CT imaging. Our study indicated that SAA/L. CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "CRP is one of the first biomarkers within blood plasma that changes to reflect physiological complications; if accepted CRP will be the most effective biomarker to predict the progression of COVID-19 infection. CRP values are more reliable for earlier identification of case severity."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32281668",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                "evidence_list": [
                    {
                        "evidence": "CRP which was associated with disease development, predicted early severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32511972",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32511972",
                "evidence_list": [
                    {
                        "evidence": "Biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). [DOI:10.1038/s42256-020-0180-7] Concentrations of CRP remained high in patients who died of COVID-19 infection, and CRP could be a biomarker for assessing disease lethality."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32344321",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32344321",
                "evidence_list": [
                    {
                        "evidence": "The serum levels of IL-6 and CRP can effectively assess disease severity and predict outcome in patients with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32615866",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32615866",
                "evidence_list": [
                    {
                        "evidence": "The serum levels of CRP, PCT and ferritin are markedly increased in very severe compared with severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32471703",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                "evidence_list": [
                    {
                        "evidence": "We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32414383",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32414383",
                "evidence_list": [
                    {
                        "evidence": "The plasma CRP level is positively correlated to the severity of COVID-19 on CT performance, and higher level of CRP showed a longer inpatient duration."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32048163",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                "evidence_list": [
                    {
                        "evidence": "The combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32277967",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32277967",
                "evidence_list": [
                    {
                        "evidence": "SAA/L, CRP, SAA, and l are valuable in predicting the severity and distinguishing critically ill patients from mild ones."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32243911",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32243911",
                "evidence_list": [
                    {
                        "evidence": "Best baseline predictors of respiratory failure were suPAR with an AUC (95% CI) of 0.88 (0.80-0.95), EWS 0.84 (0.75-0.93), LDH 0.82 (0.71-0.93), and CRP 0.80 (0.70-0.89. [DOI:10.1101/2020.05.27.20114678] At the early stage of COVID-19, CRP levels were positively cor-related with lung lesions. CRP levels could reflect disease severity and should be used as a key indicator for disease monitoring."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.",
                "journal": "The Journal of infection",
                "authors": "Li H, Xiang X, Ren H, Xu L, Zhao L, Chen X, Long H, Wang Q, Wu Q",
                "date": "2020-04-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "32277967",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967"
                    }
                ]
            },
            {
                "title": "The association between biomarkers and clinical outcomes in novel coronavirus\u00a0pneumonia in a US cohort.",
                "journal": "Biomarkers in medicine",
                "authors": "Ayanian S, Reyes J, Lynn L, Teufel K",
                "date": "2020-07-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32677844",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844"
                    }
                ]
            },
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
                "date": "2020-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32347972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972"
                    }
                ]
            },
            {
                "title": "Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: a retrospective study.",
                "journal": "BMC infectious diseases",
                "authors": "Gong J, Dong H, Xia QS, Huang ZY, Wang DK, Zhao Y, Liu WH, Tu SH, Zhang MM, Wang Q, Lu FE",
                "date": "2020-12-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "33349241",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33349241"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19.",
                "journal": "The Journal of allergy and clinical immunology",
                "authors": "Herold T, Jurinovic V, Arnreich C, Lipworth BJ, Hellmuth JC, von Bergwelt-Baildon M, Klein M, Weinberger T",
                "date": "2020-05-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "32425269",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32425269"
                    }
                ]
            },
            {
                "title": "Combined use of the neutrophil-to-lymphocyte ratio and CRP to predict 7-day disease severity in 84 hospitalized patients with COVID-19 pneumonia: a retrospective cohort study.",
                "journal": "Annals of translational medicine",
                "authors": "Liu YP, Li GM, He J, Liu Y, Li M, Zhang R, Li YL, Wu YZ, Diao B",
                "date": "2020-06-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32566572",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32566572"
                    }
                ]
            },
            {
                "title": "C-reactive protein levels in the early stage of COVID-19.",
                "journal": "Medecine et maladies infectieuses",
                "authors": "Wang L",
                "date": "2020-04-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32243911",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32243911"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Gong J, Ou J, Qiu X, Jie Y, Chen Y, Yuan L, Cao J, Tan M, Xu W, Zheng F, Shi Y, Hu B",
                "date": "2020-04-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "32296824",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32296824"
                    }
                ]
            },
            {
                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
                "journal": "Journal of medical virology",
                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281668",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668"
                    }
                ]
            },
            {
                "title": "Eosinopenia and elevated C-reactive protein facilitate triage of COVID-19 patients in fever clinic: A retrospective case-control study.",
                "journal": "EClinicalMedicine",
                "authors": "Li Q, Ding X, Xia G, Chen HG, Chen F, Geng Z, Xu L, Lei S, Pan A, Wang L, Wang Z",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32368728",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32368728"
                    }
                ]
            },
            {
                "title": "Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.",
                "journal": "The Journal of infection",
                "authors": "Li H, Xiang X, Ren H, Xu L, Zhao L, Chen X, Long H, Wang Q, Wu Q",
                "date": "2020-04-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "32277967",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
                "journal": "Journal of medical virology",
                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281668",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668"
                    }
                ]
            },
            {
                "title": "C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection.",
                "journal": "Clinica chimica acta; international journal of clinical chemistry",
                "authors": "Sahu BR, Kampa RK, Padhi A, Panda AK",
                "date": "2020-06-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "32511972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511972"
                    }
                ]
            },
            {
                "title": "Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19.",
                "journal": "Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology",
                "authors": "Liu F, Li L, Xu M, Wu J, Luo D, Zhu Y, Li B, Song X, Zhou X",
                "date": "2020-04-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "32344321",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32344321"
                    }
                ]
            },
            {
                "title": "C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis.",
                "journal": "Therapeutic advances in respiratory disease",
                "authors": "Huang I, Pranata R, Lim MA, Oehadian A, Alisjahbana B",
                "date": "2020-07-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32615866",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32615866"
                    }
                ]
            },
            {
                "title": "Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room.",
                "journal": "Archives of medical research",
                "authors": "Assandri R, Buscarini E, Canetta C, Scartabellati A, Vigan\u00f2 G, Montanelli A",
                "date": "2020-05-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "32471703",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703"
                    }
                ]
            },
            {
                "title": "Plasma CRP level is positively associated with the severity of COVID-19.",
                "journal": "Annals of clinical microbiology and antimicrobials",
                "authors": "Chen W, Zheng KI, Liu S, Yan Z, Xu C, Qiao Z",
                "date": "2020-05-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32414383",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32414383"
                    }
                ]
            },
            {
                "title": "Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury.",
                "journal": "Science China. Life sciences",
                "authors": "Liu Y, Yang Y, Zhang C, Huang F, Wang F, Yuan J, Wang Z, Li J, Li J, Feng C, Zhang Z, Wang L, Peng L, Chen L, Qin Y, Zhao D, Tan S, Yin L, Xu J, Zhou C, Jiang C, Liu L",
                "date": "2020-02-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32048163",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163"
                    }
                ]
            },
            {
                "title": "Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.",
                "journal": "The Journal of infection",
                "authors": "Li H, Xiang X, Ren H, Xu L, Zhao L, Chen X, Long H, Wang Q, Wu Q",
                "date": "2020-04-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "32277967",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32277967"
                    }
                ]
            },
            {
                "title": "C-reactive protein levels in the early stage of COVID-19.",
                "journal": "Medecine et maladies infectieuses",
                "authors": "Wang L",
                "date": "2020-04-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32243911",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32243911"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4695",
        "collision": 1
    },
    {
        "biomarker_id": "AA4695-2",
        "biomarker_component": [
            {
                "biomarker": "increased CRP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "C-reactive protein",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02741",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "71426-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "24481866",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/24481866",
                        "evidence_list": [
                            {
                                "evidence": "An upregulated TNF-alpha, in combination with CRP, was significantly related to shorter patient survival, independent of clinical stage. Findings indicate that TNF-alpha might be suitable as biomarkers in combination with tumor TNM staging for predicting survival and individualized treatment."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32224151",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32224151",
                        "evidence_list": [
                            {
                                "evidence": "Highly sensitive C-reactive protein levels in 23 (82.1%) patients. Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died"
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "24481866",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/24481866",
                "evidence_list": [
                    {
                        "evidence": "An upregulated TNF-alpha, in combination with CRP, was significantly related to shorter patient survival, independent of clinical stage. Findings indicate that TNF-alpha might be suitable as biomarkers in combination with tumor TNM staging for predicting survival and individualized treatment."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32224151",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32224151",
                "evidence_list": [
                    {
                        "evidence": "Highly sensitive C-reactive protein levels in 23 (82.1%) patients. Patients developed severe clinical events; 6 (21.4%) patients were admitted to ICU, 10 (35.7%) patients had life-threatening complications, and 8 (28.6%) of the patients died"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Plasma tumor necrosis factor-\u03b1 and C-reactive protein as biomarker for survival in head and neck squamous cell carcinoma.",
                "journal": "Journal of cancer research and clinical oncology",
                "authors": "Andersson B\u00c5, Lewin F, Lundgren J, Nilsson M, Rutqvist LE, L\u00f6fgren S, Laytragoon-Lewin N",
                "date": "2014-02-01",
                "evidence": [],
                "reference": [
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                                "evidence": "Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
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                                "evidence": "NLCR could be used as a novel, highly specific and sensitive marker for predicting severity of COVID-19 patients. [DOI:10.21203/rs.3.rs-28850/v1] We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
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                                "evidence": "The NLR values of the diabetic patients were significantly higher than those of the healthy control. Logistic regression analysis showed that the risk predictors of insulin resistance include NLR, TG and HbA1c."
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                "id": "32281668",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                "evidence_list": [
                    {
                        "evidence": "Patients with flu had higher WBC, granulocyte and granulocyte/lymphocyte ratio, compared with COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32620118",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32620118",
                "evidence_list": [
                    {
                        "evidence": "The rising trend in D-Dimer and NLR, or the test results higher than the critical values may indicate a risk of death for participants with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32304994",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32304994",
                "evidence_list": [
                    {
                        "evidence": "Age and elevated NLR can be considered independent biomarkers for indicating poor clinical outcomes."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Lower lymphocyte counts, higher leukocyte counts and neutrophil-lymphocyte ratio (NLR), lower monocytes, eosinophils, and basophils elevated inflammatory cytokines T cells significantly decreased, helper T (Th) cells and suppressor T cells were below normal levels naive Th cells increased and memory Th cells decreased lower levels of regulatory T cells."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32283162",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32283162",
                "evidence_list": [
                    {
                        "evidence": "NLR is an independent risk factor of the in-hospital mortality for COVID-19 patients especially for male. Assessment of NLR may help identify high risk individuals with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32566572",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32566572",
                "evidence_list": [
                    {
                        "evidence": "NLR and CRP are potential and reliable predictors of COVID-19 prognosis and can triage patients at the time of admission."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32471703",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                "evidence_list": [
                    {
                        "evidence": "NLCR could be used as a novel, highly specific and sensitive marker for predicting severity of COVID-19 patients. [DOI:10.21203/rs.3.rs-28850/v1] We propose that a few parameters, such Lymphocytes count, L/N ratio, SaO2 and CRP serum level can be used to assess the severity of COVID-19 in emergency room."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32376581",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32376581",
                "evidence_list": [
                    {
                        "evidence": "An increased NLR can serve as an early warning signal of severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "26341881",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26341881",
                "evidence_list": [
                    {
                        "evidence": "Pre-treatment NLR levels were significantly correlated with overall survival (OS) in glioblastoma patients (multivariate hazard ratio =1.050; 95% confidence interval, 1.003-1.100; P = 0.037) High pre-treatment NLR (>/= 4 versus < 4) was significantly associated with high neutrophil infiltration and low CD3(+) T-cell infiltration into tumors, and predicted poor OS (mean, 10.6 vs. 17.9 months, P < 0.001)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "25887236",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25887236",
                "evidence_list": [
                    {
                        "evidence": "The NLR values of the diabetic patients were significantly higher than those of the healthy control. Logistic regression analysis showed that the risk predictors of insulin resistance include NLR, TG and HbA1c."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "25483847",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25483847",
                "evidence_list": [
                    {
                        "evidence": "NLR and brachial-ankle pulse wave velocity were elevated both in type 2 diabetes melittus and in diabetic retinopathy. Early detection of abnormal NLR levels may be helpful for the search of subclinical atherosclerosis in patients with T2DM and DR."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "25470646",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25470646",
                "evidence_list": [
                    {
                        "evidence": "The aim of the present study was to investigate the predictive value of preprocedural (before the OGTT) NLR on development of type 2 diabetes (T2DM) in morbid obesity patients (MOP). MOP have higher NLR than healthy controls. High NLR is a powerful and independent predictor of T2DM in MOP."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "25953830",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25953830",
                "evidence_list": [
                    {
                        "evidence": "NLR, but not leukocyte, neutrophil,and lymphocyte counts, was positively related to the incidence of T2D in a reasonably sized sample of urban Chinese adults. Compared to participants in the lowest quintile of NLR, participants in the upper four quintiles tended to be older, to have higher BMI, waist circumference, and levels of tryglycerides. In addition, a higher proportion these participants were current smokers and drinkers and had a family history of CVD, hypertension, and diabetes. Other than these results, no significant differences were observed between the participants in different NLR quintiles."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.",
                "journal": "International immunopharmacology",
                "authors": "Yang AP, Liu JP, Tao WQ, Li HM",
                "date": "2020-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "32304994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304994"
                    }
                ]
            },
            {
                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
                "journal": "Journal of medical virology",
                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281668",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668"
                    }
                ]
            },
            {
                "title": "Dynamic changes of D-dimer and neutrophil-lymphocyte count ratio as prognostic biomarkers in COVID-19.",
                "journal": "Respiratory research",
                "authors": "Ye W, Chen G, Li X, Lan X, Ji C, Hou M, Zhang D, Zeng G, Wang Y, Xu C, Lu W, Cui R, Cai Y, Huang H, Yang L",
                "date": "2020-07-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32620118",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32620118"
                    }
                ]
            },
            {
                "title": "The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.",
                "journal": "International immunopharmacology",
                "authors": "Yang AP, Liu JP, Tao WQ, Li HM",
                "date": "2020-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "32304994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304994"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19.",
                "journal": "The Journal of infection",
                "authors": "Liu Y, Du X, Chen J, Jin Y, Peng L, Wang HHX, Luo M, Chen L, Zhao Y",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32283162",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32283162"
                    }
                ]
            },
            {
                "title": "Combined use of the neutrophil-to-lymphocyte ratio and CRP to predict 7-day disease severity in 84 hospitalized patients with COVID-19 pneumonia: a retrospective cohort study.",
                "journal": "Annals of translational medicine",
                "authors": "Liu YP, Li GM, He J, Liu Y, Li M, Zhang R, Li YL, Wu YZ, Diao B",
                "date": "2020-06-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32566572",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32566572"
                    }
                ]
            },
            {
                "title": "Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room.",
                "journal": "Archives of medical research",
                "authors": "Assandri R, Buscarini E, Canetta C, Scartabellati A, Vigan\u00f2 G, Montanelli A",
                "date": "2020-05-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "32471703",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703"
                    }
                ]
            },
            {
                "title": "[An increased neutrophil/lymphocyte ratio is an early warning signal of severe COVID-19].",
                "journal": "Nan fang yi ke da xue xue bao = Journal of Southern Medical University",
                "authors": "Xia X, Wen M, Zhan S, He J, Chen W",
                "date": "2020-05-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32376581",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32376581"
                    }
                ]
            },
            {
                "title": "Pre-treatment neutrophil-to-lymphocyte ratio is associated with neutrophil and T-cell infiltration and predicts clinical outcome in patients with glioblastoma.",
                "journal": "BMC cancer",
                "authors": "Han S, Liu Y, Li Q, Li Z, Hou H, Wu A",
                "date": "2015-09-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "26341881",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26341881"
                    }
                ]
            },
            {
                "title": "Relationship between neutrophil-lymphocyte ratio and insulin resistance in newly diagnosed type 2 diabetes mellitus patients.",
                "journal": "BMC endocrine disorders",
                "authors": "Lou M, Luo P, Tang R, Peng Y, Yu S, Huang W, He L",
                "date": "2015-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "25887236",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25887236"
                    }
                ]
            },
            {
                "title": "Neutrophil-Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes.",
                "journal": "Journal of diabetes and its complications",
                "authors": "Wang RT, Zhang JR, Li Y, Liu T, Yu KJ",
                "date": "2014-12-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "25483847",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25483847"
                    }
                ]
            },
            {
                "title": "Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Yilmaz H, Ucan B, Sayki M, Unsal I, Sahin M, Ozbek M, Delibasi T",
                "date": "2014-12-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "25470646",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25470646"
                    }
                ]
            },
            {
                "title": "Neutrophil:lymphocyte ratio is positively related to type 2 diabetes in a large-scale adult population: a Tianjin Chronic Low-Grade Systemic Inflammation and Health cohort study.",
                "journal": "European journal of endocrinology",
                "authors": "Guo X, Zhang S, Zhang Q, Liu L, Wu H, Du H, Shi H, Wang C, Xia Y, Liu X, Li C, Sun S, Wang X, Zhou M, Huang G, Jia Q, Zhao H, Song K, Niu K",
                "date": "2015-05-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "25953830",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25953830"
                    }
                ]
            },
            {
                "title": "The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.",
                "journal": "International immunopharmacology",
                "authors": "Yang AP, Liu JP, Tao WQ, Li HM",
                "date": "2020-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "32304994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304994"
                    }
                ]
            },
            {
                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
                "journal": "Journal of medical virology",
                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281668",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668"
                    }
                ]
            },
            {
                "title": "Dynamic changes of D-dimer and neutrophil-lymphocyte count ratio as prognostic biomarkers in COVID-19.",
                "journal": "Respiratory research",
                "authors": "Ye W, Chen G, Li X, Lan X, Ji C, Hou M, Zhang D, Zeng G, Wang Y, Xu C, Lu W, Cui R, Cai Y, Huang H, Yang L",
                "date": "2020-07-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32620118",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32620118"
                    }
                ]
            },
            {
                "title": "The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.",
                "journal": "International immunopharmacology",
                "authors": "Yang AP, Liu JP, Tao WQ, Li HM",
                "date": "2020-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "32304994",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304994"
                    }
                ]
            },
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            },
            {
                "title": "Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19.",
                "journal": "The Journal of infection",
                "authors": "Liu Y, Du X, Chen J, Jin Y, Peng L, Wang HHX, Luo M, Chen L, Zhao Y",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32283162",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32283162"
                    }
                ]
            },
            {
                "title": "Combined use of the neutrophil-to-lymphocyte ratio and CRP to predict 7-day disease severity in 84 hospitalized patients with COVID-19 pneumonia: a retrospective cohort study.",
                "journal": "Annals of translational medicine",
                "authors": "Liu YP, Li GM, He J, Liu Y, Li M, Zhang R, Li YL, Wu YZ, Diao B",
                "date": "2020-06-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32566572",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32566572"
                    }
                ]
            },
            {
                "title": "Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room.",
                "journal": "Archives of medical research",
                "authors": "Assandri R, Buscarini E, Canetta C, Scartabellati A, Vigan\u00f2 G, Montanelli A",
                "date": "2020-05-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "32471703",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703"
                    }
                ]
            },
            {
                "title": "[An increased neutrophil/lymphocyte ratio is an early warning signal of severe COVID-19].",
                "journal": "Nan fang yi ke da xue xue bao = Journal of Southern Medical University",
                "authors": "Xia X, Wen M, Zhan S, He J, Chen W",
                "date": "2020-05-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32376581",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32376581"
                    }
                ]
            },
            {
                "title": "Pre-treatment neutrophil-to-lymphocyte ratio is associated with neutrophil and T-cell infiltration and predicts clinical outcome in patients with glioblastoma.",
                "journal": "BMC cancer",
                "authors": "Han S, Liu Y, Li Q, Li Z, Hou H, Wu A",
                "date": "2015-09-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "26341881",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26341881"
                    }
                ]
            },
            {
                "title": "Relationship between neutrophil-lymphocyte ratio and insulin resistance in newly diagnosed type 2 diabetes mellitus patients.",
                "journal": "BMC endocrine disorders",
                "authors": "Lou M, Luo P, Tang R, Peng Y, Yu S, Huang W, He L",
                "date": "2015-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "25887236",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25887236"
                    }
                ]
            },
            {
                "title": "Neutrophil-Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes.",
                "journal": "Journal of diabetes and its complications",
                "authors": "Wang RT, Zhang JR, Li Y, Liu T, Yu KJ",
                "date": "2014-12-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "25483847",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25483847"
                    }
                ]
            },
            {
                "title": "Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Yilmaz H, Ucan B, Sayki M, Unsal I, Sahin M, Ozbek M, Delibasi T",
                "date": "2014-12-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "25470646",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25470646"
                    }
                ]
            },
            {
                "title": "Neutrophil:lymphocyte ratio is positively related to type 2 diabetes in a large-scale adult population: a Tianjin Chronic Low-Grade Systemic Inflammation and Health cohort study.",
                "journal": "European journal of endocrinology",
                "authors": "Guo X, Zhang S, Zhang Q, Liu L, Wu H, Du H, Shi H, Wang C, Xia Y, Liu X, Li C, Sun S, Wang X, Zhou M, Huang G, Jia Q, Zhao H, Song K, Niu K",
                "date": "2015-05-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "25953830",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25953830"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4452",
        "collision": 0
    },
    {
        "biomarker_id": "AN4452-2",
        "biomarker_component": [
            {
                "biomarker": "increased NLR ratio",
                "assessed_biomarker_entity": {
                    "recommended_name": "Neutrophil to Lymphocyte ratio",
                    "synonyms": [
                        {
                            "synonym": "polymorphonuclear neutrophil"
                        },
                        {
                            "synonym": "poly"
                        },
                        {
                            "synonym": "PMN"
                        },
                        {
                            "synonym": "neutrophilic leucocyte"
                        },
                        {
                            "synonym": "polynuclear neutrophilic leukocyte"
                        },
                        {
                            "synonym": "neutrophil leucocyte"
                        },
                        {
                            "synonym": "neutrocyte"
                        },
                        {
                            "synonym": "polymorphonuclear leucocyte"
                        },
                        {
                            "synonym": "polynuclear neutrophilic leucocyte"
                        },
                        {
                            "synonym": "polymorphonuclear leukocyte"
                        },
                        {
                            "synonym": "neutrophil leukocyte"
                        },
                        {
                            "synonym": "neutrophilic leukocyte"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CO:CL_0000775",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26341881",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26341881",
                        "evidence_list": [
                            {
                                "evidence": "Pre-treatment NLR levels were significantly correlated with overall survival (OS) in glioblastoma patients (multivariate hazard ratio =1.050; 95% confidence interval, 1.003-1.100; P = 0.037) High pre-treatment NLR (>/= 4 versus < 4) was significantly associated with high neutrophil infiltration and low CD3(+) T-cell infiltration into tumors, and predicted poor OS (mean, 10.6 vs. 17.9 months, P < 0.001)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "increased NLR ratio",
                "assessed_biomarker_entity": {
                    "recommended_name": "Neutrophil to Lymphocyte ratio",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "CO:CL_0000542",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26341881",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26341881",
                        "evidence_list": [
                            {
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                    "name": "adult malignant brain neoplasm",
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                {
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                    {
                        "evidence": "Pre-treatment NLR levels were significantly correlated with overall survival (OS) in glioblastoma patients (multivariate hazard ratio =1.050; 95% confidence interval, 1.003-1.100; P = 0.037) High pre-treatment NLR (>/= 4 versus < 4) was significantly associated with high neutrophil infiltration and low CD3(+) T-cell infiltration into tumors, and predicted poor OS (mean, 10.6 vs. 17.9 months, P < 0.001)."
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                ],
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                    {
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        ],
        "citation": [
            {
                "title": "Pre-treatment neutrophil-to-lymphocyte ratio is associated with neutrophil and T-cell infiltration and predicts clinical outcome in patients with glioblastoma.",
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            {
                "title": "Pre-treatment neutrophil-to-lymphocyte ratio is associated with neutrophil and T-cell infiltration and predicts clinical outcome in patients with glioblastoma.",
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            }
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                            "synonym": "PMN"
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                            "synonym": "polynuclear neutrophilic leukocyte"
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                        {
                            "synonym": "neutrophil leucocyte"
                        },
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                            "synonym": "neutrocyte"
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                            "synonym": "polymorphonuclear leucocyte"
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                        {
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                    {
                        "evidence": "The NLR values of the diabetic patients were significantly higher than those of the healthy control. Logistic regression analysis showed that the risk predictors of insulin resistance include NLR, TG and HbA1c."
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                    {
                        "evidence": "NLR and brachial-ankle pulse wave velocity were elevated both in type 2 diabetes melittus and in diabetic retinopathy. Early detection of abnormal NLR levels may be helpful for the search of subclinical atherosclerosis in patients with T2DM and DR."
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                    {
                        "evidence": "NLR, but not leukocyte, neutrophil,and lymphocyte counts, was positively related to the incidence of T2D in a reasonably sized sample of urban Chinese adults. Compared to participants in the lowest quintile of NLR, participants in the upper four quintiles tended to be older, to have higher BMI, waist circumference, and levels of tryglycerides. In addition, a higher proportion these participants were current smokers and drinkers and had a family history of CVD, hypertension, and diabetes. Other than these results, no significant differences were observed between the participants in different NLR quintiles."
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        "citation": [
            {
                "title": "Relationship between neutrophil-lymphocyte ratio and insulin resistance in newly diagnosed type 2 diabetes mellitus patients.",
                "journal": "BMC endocrine disorders",
                "authors": "Lou M, Luo P, Tang R, Peng Y, Yu S, Huang W, He L",
                "date": "2015-04-19",
                "evidence": [],
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                    {
                        "id": "25887236",
                        "type": "Pubmed",
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                ]
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            {
                "title": "Neutrophil-Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes.",
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            {
                "title": "Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity.",
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                ]
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                "title": "Neutrophil:lymphocyte ratio is positively related to type 2 diabetes in a large-scale adult population: a Tianjin Chronic Low-Grade Systemic Inflammation and Health cohort study.",
                "journal": "European journal of endocrinology",
                "authors": "Guo X, Zhang S, Zhang Q, Liu L, Wu H, Du H, Shi H, Wang C, Xia Y, Liu X, Li C, Sun S, Wang X, Zhou M, Huang G, Jia Q, Zhao H, Song K, Niu K",
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            {
                "title": "Relationship between neutrophil-lymphocyte ratio and insulin resistance in newly diagnosed type 2 diabetes mellitus patients.",
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                ]
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            {
                "title": "Neutrophil-Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes.",
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                "authors": "Wang RT, Zhang JR, Li Y, Liu T, Yu KJ",
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            {
                "title": "Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity.",
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                        "id": "25470646",
                        "type": "Pubmed",
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                ]
            },
            {
                "title": "Neutrophil:lymphocyte ratio is positively related to type 2 diabetes in a large-scale adult population: a Tianjin Chronic Low-Grade Systemic Inflammation and Health cohort study.",
                "journal": "European journal of endocrinology",
                "authors": "Guo X, Zhang S, Zhang Q, Liu L, Wu H, Du H, Shi H, Wang C, Xia Y, Liu X, Li C, Sun S, Wang X, Zhou M, Huang G, Jia Q, Zhao H, Song K, Niu K",
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                            "synonym": "triglycerides"
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                        {
                            "synonym": "Triacylglycerol"
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                            "synonym": "triglycerides"
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                            "synonym": "a triacylglycerol"
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                    ]
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                                "evidence": "Clinicians should consider monitoring for hypertriglyceridemia."
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                                "evidence": "We measured an extended panel of circulating biomarkers and used a disease-specific scale (BCRSS) to quickly classify respiratory severity  in patients with COVID-19, we found extremely high levels of CRP, ferritin, D-Dimer and triglycerides indicating that a HIS was present at the time when the respiratory condition was rapidly deteriorating."
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                    {
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            {
                "title": "Acute hypertriglyceridemia in patients with COVID-19 receiving tocilizumab.",
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                "journal": "Autoimmunity reviews",
                "authors": "Toniati P, Piva S, Cattalini M, Garrafa E, Regola F, Castelli F, Franceschini F, Air\u00f2 P, Bazzani C, Beindorf EA, Berlendis M, Bezzi M, Bossini N, Castellano M, Cattaneo S, Cavazzana I, Contessi GB, Crippa M, Delbarba A, De Peri E, Faletti A, Filippini M, Filippini M, Frassi M, Gaggiotti M, Gorla R, Lanspa M, Lorenzotti S, Marino R, Maroldi R, Metra M, Matteelli A, Modina D, Moioli G, Montani G, Muiesan ML, Odolini S, Peli E, Pesenti S, Pezzoli MC, Pirola I, Pozzi A, Proto A, Rasulo FA, Renisi G, Ricci C, Rizzoni D, Romanelli G, Rossi M, Salvetti M, Scolari F, Signorini L, Taglietti M, Tomasoni G, Tomasoni LR, Turla F, Valsecchi A, Zani D, Zuccal\u00e0 F, Zunica F, Foc\u00e0 E, Andreoli L, Latronico N",
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                "title": "Hypolipidemia is associated with the severity of COVID-19.",
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                "title": "The prevalence and risk factors of dyslipidemia in different diabetic progression stages among middle-aged and elderly populations in China.",
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                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
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            {
                "id": "12439927",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "We detected MCP-3 mRNA expression in MCP-3 gene transfected CMT93 cells. In contrast, the wild type CMT93 cells and the mock transfected CMT93 cells did not express MCP-3. In the tumor tissue derived from CMT93/MCP-3, infiltrating immune cells increased. In addition, no tumor metastasis was found in all mice inoculated with CMT93/ MCP-3 tumor cells. But all mice had tumor metastasis in CMT93 controls. In our study, we found that after the transfecting of CMT93 colorectal cancer cell with MCP-3 gene, tumor growth was retarded and tumor metastasis was inhibited completely by promoting immune cells infiltration in tumor tissue."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
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        ],
        "citation": [
            {
                "title": "Transfection of colorectal cancer cells with chemokine MCP-3 (monocyte chemotactic protein-3) gene retards tumor growth and inhibits tumor metastasis.",
                "journal": "World journal of gastroenterology",
                "authors": "Hu JY, Li GC, Wang WM, Zhu JG, Li YF, Zhou GH, Sun QB",
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                    {
                        "id": "12439927",
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        ],
        "biomarker_canonical_id": "AA4702",
        "collision": 1
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    {
        "biomarker_id": "AA4704-1",
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            {
                "biomarker": "increased GRAN count",
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                    "recommended_name": "Granulocyte",
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                        {
                            "synonym": "granular leucocyte"
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                        {
                            "synonym": "granular leukocyte"
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                        {
                            "synonym": "polymorphonuclear leukocyte"
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                },
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                    {
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                    {
                        "id": "32281668",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "Patients with flu had higher WBC, granulocyte and granulocyte/lymphocyte ratio, compared with COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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        "best_biomarker_role": [
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                "id": "DOID:0080600",
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                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                {
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
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            {
                "id": "32281668",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32281668",
                "evidence_list": [
                    {
                        "evidence": "Patients with flu had higher WBC, granulocyte and granulocyte/lymphocyte ratio, compared with COVID-19 patients."
                    }
                ],
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                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.",
                "journal": "Journal of medical virology",
                "authors": "Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, Jiang X, Li X",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281668",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281668"
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        ],
        "biomarker_canonical_id": "AA4704",
        "collision": 1
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    {
        "biomarker_id": "AA4704-2",
        "biomarker_component": [
            {
                "biomarker": "increased GRAN count",
                "assessed_biomarker_entity": {
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                    "synonyms": [
                        {
                            "synonym": "granular leucocyte"
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                        {
                            "synonym": "granular leukocyte"
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                "assessed_biomarker_entity_id": "CO:CL_0000094",
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                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "30394-1"
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                ],
                "evidence_source": [
                    {
                        "id": "11406548",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/11406548",
                        "evidence_list": [
                            {
                                "evidence": "The chronic presence of the tumor and thus chronic activation of granulocytes with the accompanying production of H2O2 results, ironically, in the suppression of the adaptive immune functions. Here we show specifically that the release of reactive oxygen species during the oxidative burst of granulocytes, i.e., H2O2, is the major contributor to a systemic T-cell dysfunction. This is supported by the observation that cancer patients showed signs of extensive granulocyte activation with massive elevation of plasma levels of 8-isoprostane, a product of lipid oxidation and a marker for oxidative stress, that exceeded measurements found in other diseases with documented oxidative stress."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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        "best_biomarker_role": [
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        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "11406548",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/11406548",
                "evidence_list": [
                    {
                        "evidence": "The chronic presence of the tumor and thus chronic activation of granulocytes with the accompanying production of H2O2 results, ironically, in the suppression of the adaptive immune functions. Here we show specifically that the release of reactive oxygen species during the oxidative burst of granulocytes, i.e., H2O2, is the major contributor to a systemic T-cell dysfunction. This is supported by the observation that cancer patients showed signs of extensive granulocyte activation with massive elevation of plasma levels of 8-isoprostane, a product of lipid oxidation and a marker for oxidative stress, that exceeded measurements found in other diseases with documented oxidative stress."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Activated granulocytes and granulocyte-derived hydrogen peroxide are the underlying mechanism of suppression of t-cell function in advanced cancer patients.",
                "journal": "Cancer research",
                "authors": "Schmielau J, Finn OJ",
                "date": "2001-06-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "11406548",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/11406548"
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                ]
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        ],
        "biomarker_canonical_id": "AA4704",
        "collision": 1
    },
    {
        "biomarker_id": "AA4705-1",
        "biomarker_component": [
            {
                "biomarker": "increased D-D level",
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                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PRO:PR_000050369",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "71427-9"
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                ],
                "evidence_source": [
                    {
                        "id": "32677844",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
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                            {
                                "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
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                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32442528",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32442528",
                        "evidence_list": [
                            {
                                "evidence": "Findings in this study include determining independent associations between biomarkers for inflammation (interleukin-6) and thrombosis (D-dimer) and mortality."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                        "id": "32220650",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                        "evidence_list": [
                            {
                                "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                        "id": "32171076",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
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                            {
                                "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                        "id": "32306492",
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                        "url": "https://pubmed.ncbi.nlm.nih.gov/32306492",
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                            {
                                "evidence": "Patients with D-dimer levels >/=2.0 \u00b5g/mL had a higher incidence of mortality when comparing with those who with D-dimer levels <2.0 \u00b5g/mL (12/67 vs 1/267, P < .001; hazard ratio, 51.5; 95% confidence interval, 12.9-206.7)."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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                    },
                    {
                        "id": "32665858",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32665858",
                        "evidence_list": [
                            {
                                "evidence": "D-dimer is commonly elevated in patients with COVID-19. D-dimer levels correlate with disease severity and is a reliable prognostic marker for in-hospital mortality in patients admitted for COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    {
                        "id": "32620118",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32620118",
                        "evidence_list": [
                            {
                                "evidence": "The rising trend in D-Dimer and NLR, or the test results higher than the critical values may indicate a risk of death for participants with COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                    },
                    {
                        "id": "32475810",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                        "evidence_list": [
                            {
                                "evidence": "This, along with the previous study, suggests that D-dimer levels can be used as a prognostic marker and help clinicians monitor those who are likely to deteriorate earlier."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                    },
                    {
                        "id": "32172226",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32172226",
                        "evidence_list": [
                            {
                                "evidence": "D-dimer (10.36 vs. 0.26 ng/L; p<0.001) were higher in patients with SARS-CoV-2 than those in controls."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                    },
                    {
                        "id": "32367765",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32367765",
                        "evidence_list": [
                            {
                                "evidence": "The most important finding was that FAR and PLT count were independent risk factors to predict the development of severe illness in COVID-19. Patients with FAR<0.0883 and PLT count>135*10^9/L were unlikely to develop into severe disease."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32073213",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32073213",
                        "evidence_list": [
                            {
                                "evidence": "Non-survivors revealed significantly higher D-dimer and fibrin degradation product (FDP) levels, longer prothrombin time and activated partial thromboplastin time."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
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                        ]
                    },
                    {
                        "id": "32181911",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32181911",
                        "evidence_list": [
                            {
                                "evidence": "IL-6 and D-dimer were closely related to the occurrence of severe COVID-19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID-19 patients, which has important clinical value."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
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            {
                "role": "prognostic"
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        ],
        "condition": {
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                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32677844",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32677844",
                "evidence_list": [
                    {
                        "evidence": "Elevated levels of IL-6, D-dimer, CRP, LDH, and ferritin all had an independent increased risk for the clinical outcomes assessed (ICU admission, invasive ventilatory support and death), which were statistically significant."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, and renal biomarkers showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32442528",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32442528",
                "evidence_list": [
                    {
                        "evidence": "Findings in this study include determining independent associations between biomarkers for inflammation (interleukin-6) and thrombosis (D-dimer) and mortality."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32220650",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32220650",
                "evidence_list": [
                    {
                        "evidence": "Besides radiographic presentations, variables that were associated significantly with severity of COVID-19 were decreased lymphocytes, elevated body temperature, and high levels of procalcitonin, D-dimer, and creatine kinase MB."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32171076",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
                "evidence_list": [
                    {
                        "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32306492",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32306492",
                "evidence_list": [
                    {
                        "evidence": "Patients with D-dimer levels >/=2.0 \u00b5g/mL had a higher incidence of mortality when comparing with those who with D-dimer levels <2.0 \u00b5g/mL (12/67 vs 1/267, P < .001; hazard ratio, 51.5; 95% confidence interval, 12.9-206.7)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32665858",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32665858",
                "evidence_list": [
                    {
                        "evidence": "D-dimer is commonly elevated in patients with COVID-19. D-dimer levels correlate with disease severity and is a reliable prognostic marker for in-hospital mortality in patients admitted for COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32620118",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32620118",
                "evidence_list": [
                    {
                        "evidence": "The rising trend in D-Dimer and NLR, or the test results higher than the critical values may indicate a risk of death for participants with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32475810",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32475810",
                "evidence_list": [
                    {
                        "evidence": "This, along with the previous study, suggests that D-dimer levels can be used as a prognostic marker and help clinicians monitor those who are likely to deteriorate earlier."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32172226",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32172226",
                "evidence_list": [
                    {
                        "evidence": "D-dimer (10.36 vs. 0.26 ng/L; p<0.001) were higher in patients with SARS-CoV-2 than those in controls."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32367765",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32367765",
                "evidence_list": [
                    {
                        "evidence": "The most important finding was that FAR and PLT count were independent risk factors to predict the development of severe illness in COVID-19. Patients with FAR<0.0883 and PLT count>135*10^9/L were unlikely to develop into severe disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32073213",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32073213",
                "evidence_list": [
                    {
                        "evidence": "Non-survivors revealed significantly higher D-dimer and fibrin degradation product (FDP) levels, longer prothrombin time and activated partial thromboplastin time."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32181911",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32181911",
                "evidence_list": [
                    {
                        "evidence": "IL-6 and D-dimer were closely related to the occurrence of severe COVID-19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID-19 patients, which has important clinical value."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The association between biomarkers and clinical outcomes in novel coronavirus\u00a0pneumonia in a US cohort.",
                "journal": "Biomarkers in medicine",
                "authors": "Ayanian S, Reyes J, Lynn L, Teufel K",
                "date": "2020-07-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32677844",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32677844"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study.",
                "journal": "Lancet (London, England)",
                "authors": "Cummings MJ, Baldwin MR, Abrams D, Jacobson SD, Meyer BJ, Balough EM, Aaron JG, Claassen J, Rabbani LE, Hastie J, Hochman BR, Salazar-Schicchi J, Yip NH, Brodie D, O'Donnell MR",
                "date": "2020-05-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "32442528",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32442528"
                    }
                ]
            },
            {
                "title": "Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study.",
                "journal": "The Lancet. Infectious diseases",
                "authors": "Qiu H, Wu J, Hong L, Luo Y, Song Q, Chen D",
                "date": "2020-03-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32220650",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32220650"
                    }
                ]
            },
            {
                "title": "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.",
                "journal": "Lancet (London, England)",
                "authors": "Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B",
                "date": "2020-03-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32171076",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32171076"
                    }
                ]
            },
            {
                "title": "D-dimer levels on admission to predict in-hospital mortality in patients with Covid-19.",
                "journal": "Journal of thrombosis and haemostasis : JTH",
                "authors": "Zhang L, Yan X, Fan Q, Liu H, Liu X, Liu Z, Zhang Z",
                "date": "2020-04-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "32306492",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32306492"
                    }
                ]
            },
            {
                "title": "D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study.",
                "journal": "Journal of intensive care",
                "authors": "Yao Y, Cao J, Wang Q, Shi Q, Liu K, Luo Z, Chen X, Chen S, Yu K, Huang Z, Hu B",
                "date": "2020-07-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "32665858",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32665858"
                    }
                ]
            },
            {
                "title": "Dynamic changes of D-dimer and neutrophil-lymphocyte count ratio as prognostic biomarkers in COVID-19.",
                "journal": "Respiratory research",
                "authors": "Ye W, Chen G, Li X, Lan X, Ji C, Hou M, Zhang D, Zeng G, Wang Y, Xu C, Lu W, Cui R, Cai Y, Huang H, Yang L",
                "date": "2020-07-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32620118",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32620118"
                    }
                ]
            },
            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
                "journal": "Life sciences",
                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
                "date": "2020-06-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32475810",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32475810"
                    }
                ]
            },
            {
                "title": "Prominent changes in blood coagulation of patients with SARS-CoV-2 infection.",
                "journal": "Clinical chemistry and laboratory medicine",
                "authors": "Han H, Yang L, Liu R, Liu F, Wu KL, Li J, Liu XH, Zhu CL",
                "date": "2020-03-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "32172226",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32172226"
                    }
                ]
            },
            {
                "title": "Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count.",
                "journal": "Platelets",
                "authors": "Bi X, Su Z, Yan H, Du J, Wang J, Chen L, Peng M, Chen S, Shen B, Li J",
                "date": "2020-05-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32367765",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32367765"
                    }
                ]
            },
            {
                "title": "Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia.",
                "journal": "Journal of thrombosis and haemostasis : JTH",
                "authors": "Tang N, Li D, Wang X, Sun Z",
                "date": "2020-02-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "32073213",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32073213"
                    }
                ]
            },
            {
                "title": "Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Gao Y, Li T, Han M, Li X, Wu D, Xu Y, Zhu Y, Liu Y, Wang X, Wang L",
                "date": "2020-03-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "32181911",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32181911"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4705",
        "collision": 1
    },
    {
        "biomarker_id": "AA4705-2",
        "biomarker_component": [
            {
                "biomarker": "increased D-D level",
                "assessed_biomarker_entity": {
                    "recommended_name": "D-dimer",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PRO:PR_000050369",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
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                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "71427-9"
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                ],
                "evidence_source": [
                    {
                        "id": "17454757",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17454757",
                        "evidence_list": [
                            {
                                "evidence": "We report changes in D-dimer levels that may indicate diabetes disease progression to macrovascular complications. Using D-dimer in conjunction with other biomarkers to identify stages of disease progression, commencing from pre-diabetes and continuing to development of asymptomatic and clinical cardiovascular disease in diabetes mellitus, is worthy of consideration."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_entity_type"
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                        "id": "32430456",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32430456",
                        "evidence_list": [
                            {
                                "evidence": "The mean of glycemia during hospitalization was 10.65 \u00b1 0.84 mmol/L in the no insulin infusion group and 7.69 \u00b1 1.85 mmol/L in the insulin infusion group. At baseline, IL-6 and D-dimer levels were significantly higher in the hyperglycemic group than in the normoglycemic group (P < 0.001). Even though all patients were on standard treatment for COVID-19 infection, IL-6 and D-dimer levels persisted higher in patients with hyperglycemia during hospitalization."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
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                                "tag": "assessed_entity_type"
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                        "id": "32623030",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32623030",
                        "evidence_list": [
                            {
                                "evidence": "In COVID-19 patients with diabetes, poorly-controlled blood glucose (>11 mmol/L) may be associated with poor outcomes. Admission hyperglycemia, elevated d-dimer and high HRCT score are potential risk factors for adverse outcomes and death."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
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                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
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                {
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                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
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        "evidence_source": [
            {
                "id": "17454757",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/17454757",
                "evidence_list": [
                    {
                        "evidence": "We report changes in D-dimer levels that may indicate diabetes disease progression to macrovascular complications. Using D-dimer in conjunction with other biomarkers to identify stages of disease progression, commencing from pre-diabetes and continuing to development of asymptomatic and clinical cardiovascular disease in diabetes mellitus, is worthy of consideration."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32430456",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32430456",
                "evidence_list": [
                    {
                        "evidence": "The mean of glycemia during hospitalization was 10.65 \u00b1 0.84 mmol/L in the no insulin infusion group and 7.69 \u00b1 1.85 mmol/L in the insulin infusion group. At baseline, IL-6 and D-dimer levels were significantly higher in the hyperglycemic group than in the normoglycemic group (P < 0.001). Even though all patients were on standard treatment for COVID-19 infection, IL-6 and D-dimer levels persisted higher in patients with hyperglycemia during hospitalization."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32623030",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32623030",
                "evidence_list": [
                    {
                        "evidence": "In COVID-19 patients with diabetes, poorly-controlled blood glucose (>11 mmol/L) may be associated with poor outcomes. Admission hyperglycemia, elevated d-dimer and high HRCT score are potential risk factors for adverse outcomes and death."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "D-dimer identifies stages in the progression of diabetes mellitus from family history of diabetes to cardiovascular complications.",
                "journal": "Pathology",
                "authors": "Nwose EU, Richards RS, Jelinek HF, Kerr PG",
                "date": "2007-04-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "17454757",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17454757"
                    }
                ]
            },
            {
                "title": "Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control?",
                "journal": "Diabetes care",
                "authors": "Sardu C, D'Onofrio N, Balestrieri ML, Barbieri M, Rizzo MR, Messina V, Maggi P, Coppola N, Paolisso G, Marfella R",
                "date": "2020-05-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "32430456",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32430456"
                    }
                ]
            },
            {
                "title": "Baseline characteristics and risk factors for short-term outcomes in 132 COVID-19 patients with diabetes in Wuhan China: A retrospective study.",
                "journal": "Diabetes research and clinical practice",
                "authors": "Li Y, Han X, Alwalid O, Cui Y, Cao Y, Liu J, Gu J, Wang L, Fan Y, Shi H",
                "date": "2020-07-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32623030",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32623030"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4705",
        "collision": 1
    },
    {
        "biomarker_id": "AA4705-3",
        "biomarker_component": [
            {
                "biomarker": "increased D-D level",
                "assessed_biomarker_entity": {
                    "recommended_name": "D-dimer",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PRO:PR_000050369",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "71427-9"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32357994",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32357994",
                        "evidence_list": [
                            {
                                "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality. Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
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                        ]
                    },
                    {
                        "id": "32369209",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                        "evidence_list": [
                            {
                                "evidence": "Our results showed that the laboratory tests of cancer patients had the following characteristics: low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH. The increase of these inflammatory indexes indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
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                ]
            }
        ],
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                "role": "prognostic"
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
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            {
                "id": "32357994",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32357994",
                "evidence_list": [
                    {
                        "evidence": "Post-COVID-19 infection, lower hemoglobin levels, higher total white blood cell (WBC) counts, and higher absolute neutrophil counts were associated with increased mortality. Analysis of other serologic biomarkers demonstrated that elevated D-dimer, lactate, and lactate dehydrogenase (LDH) in patients were significantly correlated with dying."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32369209",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32369209",
                "evidence_list": [
                    {
                        "evidence": "Low lymphocytes, increased IL-6, CRP, PCT, D dimer, and LDH indicates that the infected patients were in inflammatory state, which may be closely related to the inflammatory storm. The increase of the cancer biomarkers in patients with COVID-19, especially in severe and critical patients, suggests that inflammation is closely related to the development of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
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                        ],
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                "title": "Using IL-2R/lymphocytes for predicting the clinical progression of patients with COVID-19.",
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                "title": "Using IL-2R/lymphocytes for predicting the clinical progression of patients with COVID-19.",
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                "title": "Soluble urokinase plasminogen activator receptor\u00a0(suPAR) as an early predictor of severe respiratory failure in patients with COVID-19 pneumonia.",
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        "citation": [
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                "title": "The level of urokinase-type plasminogen activator receptor is increased in serum of ovarian cancer patients.",
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                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "ACE2 correlated with immune infiltration serves as a prognostic biomarker in endometrial carcinoma and renal papillary cell carcinoma: implication for COVID-19.",
                "journal": "Aging",
                "authors": "Yang J, Li H, Hu S, Zhou Y",
                "date": "2020-04-28",
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                    {
                        "id": "32339157",
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        ],
        "biomarker_canonical_id": "AA4713",
        "collision": 1
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    {
        "biomarker_id": "AA4713-2",
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            {
                "biomarker": "decreased ACE2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Angiotensin-converting enzyme 2",
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                        {
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                        {
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                        {
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                        {
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                        {
                            "synonym": "Metalloprotease MPROT15"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q9BYF1",
                "assessed_entity_type": "protein",
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                    {
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                            {
                                "evidence": "Expression of ACE2 is decreased in pancreatic ductal adenocarcinoma tissues. The reduction of ACE2 expression by RNA interference promoted the proliferation of cultured pancreatic cancer cells. It was found that ANGII (angiotensin II, a biologically active peptide that works as a regulator of cardiovasular homeostasist) contributes to the down-regulation of ACE2 in cancer patients."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:1793",
            "recommended_name": {
                "id": "DOID:1793",
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            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
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                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
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                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
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                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
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                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
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                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
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                }
            ]
        },
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                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Expression of ACE2 is decreased in pancreatic ductal adenocarcinoma tissues. The reduction of ACE2 expression by RNA interference promoted the proliferation of cultured pancreatic cancer cells. It was found that ANGII (angiotensin II, a biologically active peptide that works as a regulator of cardiovasular homeostasist) contributes to the down-regulation of ACE2 in cancer patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Decreased expression of angiotensin-converting enzyme 2 in pancreatic ductal adenocarcinoma is associated with tumor progression.",
                "journal": "The Tohoku journal of experimental medicine",
                "authors": "Zhou L, Zhang R, Yao W, Wang J, Qian A, Qiao M, Zhang Y, Yuan Y",
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                "evidence": [],
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                    {
                        "id": "19212105",
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        ],
        "biomarker_canonical_id": "AA4713",
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    {
        "biomarker_id": "AA4715-1",
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            {
                "biomarker": "increased WFDC2 level",
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                    "recommended_name": "WAP four-disulfide core domain protein 2",
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                        {
                            "synonym": "Epididymal secretory protein E4"
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                        {
                            "synonym": "Major epididymis-specific protein E4"
                        },
                        {
                            "synonym": "Putative protease inhibitor WAP5"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14508",
                "assessed_entity_type": "protein",
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                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
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                    {
                        "name": "blood serum",
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                "evidence_source": [
                    {
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                            {
                                "evidence": "Early diagnosis is the most important determinant of early survival for ovarian cancer, and increased levels of HE4, in combination with CA125, is used as a diagnostic marker for ovarian cancer. HE4 levels were found to be significantly higher in individuals with ovarian cancer. Combining both HE4 and CA125 yielded specificity for ovarian cancer of 100%."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                    {
                        "id": "19732003",
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                            {
                                "evidence": "Preliminary data show that HE4 may have more potential than cancer antigen 125 in discriminating benign from cancerous ovarian masses, and has the strongest correlation with endometrial cancer of all markers tested to date. Utilizing risk stratification, a panel of biomarkers including HE4 may ultimately be useful for detecting ovarian and endometrial cancer at an early stage in patients at high risk."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
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                            },
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
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        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
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                {
                    "id": "DOID:2394",
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                        "evidence": "Early diagnosis is the most important determinant of early survival for ovarian cancer, and increased levels of HE4, in combination with CA125, is used as a diagnostic marker for ovarian cancer. HE4 levels were found to be significantly higher in individuals with ovarian cancer. Combining both HE4 and CA125 yielded specificity for ovarian cancer of 100%."
                    }
                ],
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                    {
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            {
                "id": "19732003",
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                    {
                        "evidence": "Preliminary data show that HE4 may have more potential than cancer antigen 125 in discriminating benign from cancerous ovarian masses, and has the strongest correlation with endometrial cancer of all markers tested to date. Utilizing risk stratification, a panel of biomarkers including HE4 may ultimately be useful for detecting ovarian and endometrial cancer at an early stage in patients at high risk."
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                ],
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            {
                "id": "32347972",
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                    {
                        "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Human epididymis protein 4 (HE4) as a serum tumor biomarker in patients with ovarian carcinoma.",
                "journal": "International journal of gynecological cancer : official journal of the International Gynecological Cancer Society",
                "authors": "Chang X, Ye X, Dong L, Cheng H, Cheng Y, Zhu L, Liao Q, Zhao Y, Tian L, Fu T, Chen J, Cui H",
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                "evidence": [],
                "reference": [
                    {
                        "id": "21633297",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21633297"
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                ]
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            {
                "title": "HE4 as a biomarker for ovarian and endometrial cancer management.",
                "journal": "Expert review of molecular diagnostics",
                "authors": "Li J, Dowdy S, Tipton T, Podratz K, Lu WG, Xie X, Jiang SW",
                "date": "2009-09-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "19732003",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19732003"
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                ]
            },
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
                "date": "2020-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32347972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4715",
        "collision": 1
    },
    {
        "biomarker_id": "AA4715-2",
        "biomarker_component": [
            {
                "biomarker": "increased WFDC2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "WAP four-disulfide core domain protein 2",
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                        {
                            "synonym": "Epididymal secretory protein E4"
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                        {
                            "synonym": "Major epididymis-specific protein E4"
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                        {
                            "synonym": "Putative protease inhibitor WAP5"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q14508",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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                "evidence_source": [
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                        "id": "27446579",
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                            {
                                "evidence": "There was a significant difference in the median serum levels of HE4 in breast cancer patients, ovarian cancer patients and healthy volunteers (14.63, 16.47 and 11.52 pmol/l, respectively; P=0.013). No significant differences between the breast cancer and ovarian cancer patient groups was observed, the median serum levels of HE4 in these groups were significantly higher than those in the healthy volunteer group (P=0.006 and P=0.017, respectively).The cutoff value for the prediction of breast cancer was determined at >13.24 pmol/l for HE4 with a sensitivity of 61.11%, specificity of 68.75%, positive predictive value of 81.48%, negative predictive value of 44.0% and accuracy of 63.46% [AUC, 0.740 (95% CI, 0.604-0.875), P=0.006] A significant elevation of serum HE4 levels in patients with breast cancer compared with that in healthy controls was identified. HE4 may serve as a novel biomarker for the diagnosis of breast cancer."
                            }
                        ],
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                                "tag": "biomarker"
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        "best_biomarker_role": [
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                "description": "A thoracic cancer that originates in the mammary gland.",
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                    "id": "DOID:1612",
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                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
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                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
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                {
                    "id": "DOID:1612",
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                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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                "id": "27446579",
                "database": "Pubmed",
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                    {
                        "evidence": "There was a significant difference in the median serum levels of HE4 in breast cancer patients, ovarian cancer patients and healthy volunteers (14.63, 16.47 and 11.52 pmol/l, respectively; P=0.013). No significant differences between the breast cancer and ovarian cancer patient groups was observed, the median serum levels of HE4 in these groups were significantly higher than those in the healthy volunteer group (P=0.006 and P=0.017, respectively).The cutoff value for the prediction of breast cancer was determined at >13.24 pmol/l for HE4 with a sensitivity of 61.11%, specificity of 68.75%, positive predictive value of 81.48%, negative predictive value of 44.0% and accuracy of 63.46% [AUC, 0.740 (95% CI, 0.604-0.875), P=0.006] A significant elevation of serum HE4 levels in patients with breast cancer compared with that in healthy controls was identified. HE4 may serve as a novel biomarker for the diagnosis of breast cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A new marker for breast cancer diagnosis, human epididymis protein 4: A preliminary study.",
                "journal": "Molecular and clinical oncology",
                "authors": "G\u00fcnd\u00fcz UR, Gunaldi M, Isiksacan N, G\u00fcnd\u00fcz S, Okuturlar Y, Kocoglu H",
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                    {
                        "id": "27446579",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27446579"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4715",
        "collision": 1
    },
    {
        "biomarker_id": "AA4715-3",
        "biomarker_component": [
            {
                "biomarker": "increased WFDC2 level",
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                    "recommended_name": "WAP four-disulfide core domain protein 2",
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                        {
                            "synonym": "Epididymal secretory protein E4"
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                            "synonym": "Major epididymis-specific protein E4"
                        },
                        {
                            "synonym": "Putative protease inhibitor WAP5"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14508",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "55180-4"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
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                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
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                "evidence_source": [
                    {
                        "id": "32347972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                        "evidence_list": [
                            {
                                "evidence": "Increases in levels of Human epididymis protein 4 (HE4), Cytokeratin-19 fragment (CYFRA21-1) Carcinoembryonic antigen (CEA), Carbohydrate antigen 125 (CA125), Carbohydrate antigen 153 (CA153), Squamous cell carcinoma antigen (SCC), Carbohydrate antigen 199 (CA199). There were positive associations between levels of C-reactive protein and levels of HE4 (R= 0.631, p<0.001), CYFRA21-1 (R= 0.431, p<0.001), CEA (R= 0.316, p<0.001), SCC (R= 0.351, p<0.001), CA153 (R= 0.359, p<0.001) and CA125 (R= 0.223, p=0.031). We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute lung injuries."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                    {
                        "id": "32347972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                        "evidence_list": [
                            {
                                "evidence": "Significant increases in levels of human epididymis protein 4 (HE4), cytokeratin-19 fragment (CYFRA21-1), carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125 , and 153. Squamous cell carcinoma antigen (SCC) and CA199 increased significantly."
                            }
                        ],
                        "tags": [
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                            },
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                            },
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                    },
                    {
                        "id": "32347972",
                        "database": "Pubmed",
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                            {
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                                "tag": "biomarker"
                            },
                            {
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            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                    }
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                "title": "Pro-gastrin-releasing peptide (proGRP) in patients with benign and malignant diseases: comparison with CEA, SCC, CYFRA 21-1 and NSE in patients with lung cancer.",
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                "authors": "Molina R, Auge JM, Filella X, Vi\u00f1olas N, Alicarte J, Domingo JM, Ballesta AM",
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            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                "title": "Cyfra 21-1 as a biologic marker of non-small cell lung cancer. Evaluation of sensitivity, specificity, and prognostic role.",
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                            "synonym": "Ovarian carcinoma antigen CA125"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8WXI7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
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                    {
                        "name": "blood serum",
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                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
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                "description": "A female reproductive organ cancer that is located_in the ovary.",
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
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            ]
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                        "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
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                    {
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        "biomarker_canonical_id": "AA4719",
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    {
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            {
                "biomarker": "increased MUC16 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Mucin-16",
                    "synonyms": [
                        {
                            "synonym": "MUC-16"
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                        {
                            "synonym": "Ovarian cancer-related tumor marker CA125"
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                        {
                            "synonym": "CA-125"
                        },
                        {
                            "synonym": "Ovarian carcinoma antigen CA125"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8WXI7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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                        "name_space": "Uberon",
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                        "name": "blood serum",
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                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:1793",
                "name": "pancreatic cancer",
                "description": "An endocrine gland cancer located_in the pancreas.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1793"
            },
            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
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                        "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
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                    {
                        "id": "32347972",
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        ],
        "biomarker_canonical_id": "AA4719",
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                "assessed_biomarker_entity": {
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                    "synonyms": [
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                            "synonym": "Breast carcinoma-associated antigen DF3"
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                            "synonym": "CA 15-3"
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                        {
                            "synonym": "Carcinoma-associated mucin"
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                        {
                            "synonym": "Episialin"
                        },
                        {
                            "synonym": "H23AG"
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                        {
                            "synonym": "Krebs von den Lungen-6"
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                        {
                            "synonym": "KL-6"
                        },
                        {
                            "synonym": "PEMT"
                        },
                        {
                            "synonym": "Peanut-reactive urinary mucin"
                        },
                        {
                            "synonym": "PUM"
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                        {
                            "synonym": "Polymorphic epithelial mucin"
                        },
                        {
                            "synonym": "PEM"
                        },
                        {
                            "synonym": "Tumor-associated epithelial membrane antigen"
                        },
                        {
                            "synonym": "EMA"
                        },
                        {
                            "synonym": "Tumor-associated mucin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15941",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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                                "evidence": "The results indicate an increased level of CA15-3 in breast cancer patients (29.02+/-1.79 IU/ml) as compared to both women with benign tumor and healthy controls (13.78+/-1.24 and 8.92+/-0.48 IU/ml, respectively), and that this increase is associated to advanced stages. Patients with HER2/neu positive malignancies show elevated serum CA15-3 (37.09+/-2.55 IU/ml), as well as patients who developed recurrence (40.75+/-2.11 IU/ml). Study suggests that higher levels of CA 15-3 would be a reliable prognostic marker as they were directly related to advanced stages and recurrence. In addition, persistent elevation of CA 15-3 was associated to HER2/neu positivity in breast cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                ]
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        ],
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            "recommended_name": {
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                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
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                {
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                },
                {
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                    "name": "breast tumor",
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                },
                {
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                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
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                "id": "24674678",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "The results indicate an increased level of CA15-3 in breast cancer patients (29.02+/-1.79 IU/ml) as compared to both women with benign tumor and healthy controls (13.78+/-1.24 and 8.92+/-0.48 IU/ml, respectively), and that this increase is associated to advanced stages. Patients with HER2/neu positive malignancies show elevated serum CA15-3 (37.09+/-2.55 IU/ml), as well as patients who developed recurrence (40.75+/-2.11 IU/ml). Study suggests that higher levels of CA 15-3 would be a reliable prognostic marker as they were directly related to advanced stages and recurrence. In addition, persistent elevation of CA 15-3 was associated to HER2/neu positivity in breast cancer patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The significance of CA15-3 in breast cancer patients and its relationship to HER-2 receptor status.",
                "journal": "International journal of immunopathology and pharmacology",
                "authors": "Hashim ZM",
                "date": "2014-03-29",
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                        "id": "24674678",
                        "type": "Pubmed",
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        "collision": 1
    },
    {
        "biomarker_id": "AA4720-2",
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            {
                "biomarker": "increased MUC1 level",
                "assessed_biomarker_entity": {
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                    "synonyms": [
                        {
                            "synonym": "MUC-1"
                        },
                        {
                            "synonym": "Breast carcinoma-associated antigen DF3"
                        },
                        {
                            "synonym": "Cancer antigen 15-3"
                        },
                        {
                            "synonym": "CA 15-3"
                        },
                        {
                            "synonym": "Carcinoma-associated mucin"
                        },
                        {
                            "synonym": "Episialin"
                        },
                        {
                            "synonym": "H23AG"
                        },
                        {
                            "synonym": "Krebs von den Lungen-6"
                        },
                        {
                            "synonym": "KL-6"
                        },
                        {
                            "synonym": "PEMT"
                        },
                        {
                            "synonym": "Peanut-reactive urinary mucin"
                        },
                        {
                            "synonym": "PUM"
                        },
                        {
                            "synonym": "Polymorphic epithelial mucin"
                        },
                        {
                            "synonym": "PEM"
                        },
                        {
                            "synonym": "Tumor-associated epithelial membrane antigen"
                        },
                        {
                            "synonym": "EMA"
                        },
                        {
                            "synonym": "Tumor-associated mucin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15941",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32347972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                        "evidence_list": [
                            {
                                "evidence": "KL-6 was also signicantly higher in severe-cases, but its mean was below the cut-off level for ILDs. [DOI:10.21203/rs.3.rs-29567/v1] Increases in levels of Human epididymis protein 4 (HE4), Cytokeratin-19 fragment (CYFRA21-1) Carcinoembryonic antigen (CEA), Carbohydrate antigen 125 (CA125), Carbohydrate antigen 153 (CA153), Squamous cell carcinoma antigen (SCC), Carbohydrate antigen 199 (CA199). There were positive associations between levels of C-reactive protein and levels of HE4 (R= 0.631, p<0.001), CYFRA21-1(R= 0.431, p<0.001), CEA (R= 0.316, p<0.001), SCC (R= 0.351, p<0.001), CA153 (R= 0.359, p<0.001) and CA125 (R= 0.223, p=0.031). We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute lung injuries."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32470148",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32470148",
                        "evidence_list": [
                            {
                                "evidence": "Increased KL-6 serum concentrations were observed in patients with severe pulmonary involvement, suggesting potential usefulness of KL-6 measurement to evaluate COVID-19 patients prognosis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        "id": "32470148",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32470148",
                        "evidence_list": [
                            {
                                "evidence": "Irregular levels of KL-6 present  maybe helpful for phenotyping patients according to disease severity."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32347972",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                        "evidence_list": [
                            {
                                "evidence": "Significant increases in levels of human epididymis protein 4 (HE4), cytokeratin-19 fragment (CYFRA21-1), carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125 , and 153 Squamous cell carcinoma antigen (SCC) and CA199 increased significantly."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32347972",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                "evidence_list": [
                    {
                        "evidence": "KL-6 was also signicantly higher in severe-cases, but its mean was below the cut-off level for ILDs. [DOI:10.21203/rs.3.rs-29567/v1] Increases in levels of Human epididymis protein 4 (HE4), Cytokeratin-19 fragment (CYFRA21-1) Carcinoembryonic antigen (CEA), Carbohydrate antigen 125 (CA125), Carbohydrate antigen 153 (CA153), Squamous cell carcinoma antigen (SCC), Carbohydrate antigen 199 (CA199). There were positive associations between levels of C-reactive protein and levels of HE4 (R= 0.631, p<0.001), CYFRA21-1(R= 0.431, p<0.001), CEA (R= 0.316, p<0.001), SCC (R= 0.351, p<0.001), CA153 (R= 0.359, p<0.001) and CA125 (R= 0.223, p=0.031). We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute lung injuries."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32470148",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32470148",
                "evidence_list": [
                    {
                        "evidence": "Increased KL-6 serum concentrations were observed in patients with severe pulmonary involvement, suggesting potential usefulness of KL-6 measurement to evaluate COVID-19 patients prognosis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32470148",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32470148",
                "evidence_list": [
                    {
                        "evidence": "Irregular levels of KL-6 present  maybe helpful for phenotyping patients according to disease severity."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32347972",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32347972",
                "evidence_list": [
                    {
                        "evidence": "Significant increases in levels of human epididymis protein 4 (HE4), cytokeratin-19 fragment (CYFRA21-1), carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125 , and 153 Squamous cell carcinoma antigen (SCC) and CA199 increased significantly."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
                "date": "2020-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32347972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972"
                    }
                ]
            },
            {
                "title": "Serum KL-6 concentrations as a novel biomarker of severe COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "d'Alessandro M, Cameli P, Refini RM, Bergantini L, Alonzi V, Lanzarone N, Bennett D, Rana GD, Montagnani F, Scolletta S, Franchi F, Frediani B, Valente S, Mazzei MA, Bonella F, Bargagli E",
                "date": "2020-05-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32470148",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32470148"
                    }
                ]
            },
            {
                "title": "Serum KL-6 concentrations as a novel biomarker of severe COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "d'Alessandro M, Cameli P, Refini RM, Bergantini L, Alonzi V, Lanzarone N, Bennett D, Rana GD, Montagnani F, Scolletta S, Franchi F, Frediani B, Valente S, Mazzei MA, Bonella F, Bargagli E",
                "date": "2020-05-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32470148",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32470148"
                    }
                ]
            },
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
                "date": "2020-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32347972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972"
                    }
                ]
            }
        ],
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    {
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                            "synonym": "MUC-1"
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                        {
                            "synonym": "Breast carcinoma-associated antigen DF3"
                        },
                        {
                            "synonym": "Cancer antigen 15-3"
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                        {
                            "synonym": "CA 15-3"
                        },
                        {
                            "synonym": "Carcinoma-associated mucin"
                        },
                        {
                            "synonym": "Episialin"
                        },
                        {
                            "synonym": "H23AG"
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                        {
                            "synonym": "Krebs von den Lungen-6"
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                        {
                            "synonym": "KL-6"
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                            "synonym": "PEMT"
                        },
                        {
                            "synonym": "Peanut-reactive urinary mucin"
                        },
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                            "synonym": "PUM"
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                        {
                            "synonym": "Polymorphic epithelial mucin"
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                            "synonym": "PEM"
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                        {
                            "synonym": "Tumor-associated epithelial membrane antigen"
                        },
                        {
                            "synonym": "EMA"
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                        {
                            "synonym": "Tumor-associated mucin"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15941",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
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                        "id": "32347972",
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                            {
                                "evidence": "Significant increases in levels of human epididymis protein 4, cytokeratin-19 fragment, carcinoembryonic antigen, carbohydrate antigens 125 and 153 in COVID-19 mild cases as compared to normal control subjects; their levels showed continuous and significant increases in severe and critical cases."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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        "condition": {
            "id": "DOID:1324",
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                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
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                "evidence_list": [
                    {
                        "evidence": "Significant increases in levels of human epididymis protein 4, cytokeratin-19 fragment, carcinoembryonic antigen, carbohydrate antigens 125 and 153 in COVID-19 mild cases as compared to normal control subjects; their levels showed continuous and significant increases in severe and critical cases."
                    }
                ],
                "tags": [
                    {
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                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
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        "biomarker_id": "AA4720-4",
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            {
                "biomarker": "increased MUC1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Mucin-1",
                    "synonyms": [
                        {
                            "synonym": "MUC-1"
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                            "synonym": "Breast carcinoma-associated antigen DF3"
                        },
                        {
                            "synonym": "Cancer antigen 15-3"
                        },
                        {
                            "synonym": "CA 15-3"
                        },
                        {
                            "synonym": "Carcinoma-associated mucin"
                        },
                        {
                            "synonym": "Episialin"
                        },
                        {
                            "synonym": "H23AG"
                        },
                        {
                            "synonym": "Krebs von den Lungen-6"
                        },
                        {
                            "synonym": "KL-6"
                        },
                        {
                            "synonym": "PEMT"
                        },
                        {
                            "synonym": "Peanut-reactive urinary mucin"
                        },
                        {
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                        {
                            "synonym": "Polymorphic epithelial mucin"
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                        {
                            "synonym": "PEM"
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                        {
                            "synonym": "Tumor-associated epithelial membrane antigen"
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                        {
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                    {
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                            {
                                "evidence": "Significant increases in levels of human epididymis protein 4, cytokeratin-19 fragment, carcinoembryonic antigen, carbohydrate antigens 125 and 153 in COVID-19 mild cases as compared to normal control subjects; their levels showed continuous and significant increases in severe and critical cases."
                            }
                        ],
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                                "tag": "biomarker"
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                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
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                {
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                {
                    "id": "DOID:2394",
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                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
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                {
                    "id": "DOID:2394",
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                    }
                ],
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        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                            "synonym": "Tumor-associated epithelial membrane antigen"
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                },
                {
                    "id": "DOID:1793",
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                    }
                ],
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        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
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                    }
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                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
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                "evidence_source": [
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                        "id": "32504736",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                        "evidence_list": [
                            {
                                "evidence": "In addition, the significant differences of plasma level of CEA, CYFRA21- 1 and SCCA were observed among the subgroups of severity of disease and clinical outcome (Table 1) and plasma level of CEA, CYFRA21-1, SCCA were significantly increased with the advance serverity of disease."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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                        "id": "32347972",
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                                "evidence": "Additional cancer biomarkers such as carcinoembryonic antigen (CEA), carbohydrate antigens 125 and 153, squamous cell carcinoma antigen (SCC) and neuron-specific enolase (NSE) increased significantly in many critical cases. [DOI:10.2139/ssrn.3552854] Increases in levels of Human epididymis protein 4 (HE4), Cytokeratin-19 fragment (CYFRA21-1) Carcinoembryonic antigen (CEA), Carbohydrate antigen 125 (CA125), Carbohydrate antigen 153 (CA153), Squamous cell carcinoma antigen (SCC), Carbohydrate antigen 199 (CA199). There were positive associations between levels of C-reactive protein and levels of HE4 (R= 0.631, p<0.001), CYFRA21-1(R= 0.431, p<0.001), CEA (R= 0.316, p<0.001), SCC (R= 0.351, p<0.001), CA153 (R= 0.359, p<0.001) and CA125 (R= 0.223, p=0.031). We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute lung injuries."
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                {
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                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
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                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
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                    "name": "Ca tail of pancreas",
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                    "name": "pancreas neoplasm",
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                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
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        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:10534",
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                        "evidence": "Three genotypes - CT, TT, and CC - of IL-1B-31 were found in the Meizhou Hakka population. This risk was more apparent in male subjects. IL-1B-31 locus polymorphism may be associated with gastric cancer susceptibility in this population, but additional studies with larger sample size are needed to confirm the conclusions."
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                    {
                        "tag": "condition"
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            {
                "title": "Interleukin-1B-31 gene polymorphism in Hakka gastric cancer patients in Guangdong, China.",
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                    "id": "DOID:0080600",
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                        "evidence": "We noted that patients infected with 2019-nCoV also had high amounts of IL1B, IFN gamma, IP10, and MCP1, probably leading to activated T-helper-1 (Th1) cell responses. Initial plasma IL1B concentrations were higher in both ICU patients and non-ICU patients than in healthy adults."
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                    {
                        "tag": "condition"
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            {
                "title": "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.",
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                                "evidence": "IFN gamma level in patients from group 1 (T2DM) was 3.13 \u00b1 0.92 pg/ml, group 2 (CC) 2.73 \u00b1 0.91 pg/ ml, group 3 (T2DM and CC) 2.46 \u00b1 0.98 pg/ml and group 4 (control) 5.02 \u00b1 1.43 pg/ml; p < 0.05. There was no statistically significant difference in the concentration of IFN gamma in patients with T2DM and CC compared to other subjects. However, it has been demonstrated that level of IFN gamma in the control group and the group of patients with T2DM without CC was higher than in the other two groups."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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                "title": "Intracellular IFN-gamma production and IL-12 serum levels in latent autoimmune diabetes of adults (LADA) and in type 2 diabetes.",
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                {
                    "id": "DOID:0080600",
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                    "id": "DOID:0080600",
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                        "evidence": "Elevated levels of pro-inflammatory cytokines were present in patients with severe COVID19. IL-6 and MCP-1 were inversely correlated with P/F with the largest AUC in ROC analyses and should be further explored as biomarkers to identify patients at risk for severe RF and as targets for improved treatment strategies."
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                ],
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            {
                "id": "31986264",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "We noted that patients infected with 2019-nCoV also had high amounts of IL1B, IFN gamma, IP10, and MCP1, probably leading to activated T-helper-1 (Th1) cell responses. Initial plasma IL1B concentrations were higher in both ICU patients and non-ICU patients than in healthy adults."
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                ],
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        "citation": [
            {
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                        "evidence": "Other consistently reported markers in non-survivors are increased procalcitonin (PCT) and IL-6 levels, as well as increased serum urea, creatinine, cystatin C, direct bilirubin, and cholinesterase."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Immunology of COVID-19: Current State of the Science.",
                "journal": "Immunity",
                "authors": "Vabret N, Britton GJ, Gruber C, Hegde S, Kim J, Kuksin M, Levantovsky R, Malle L, Moreira A, Park MD, Pia L, Risson E, Saffern M, Salom\u00e9 B, Esai Selvan M, Spindler MP, Tan J, van der Heide V, Gregory JK, Alexandropoulos K, Bhardwaj N, Brown BD, Greenbaum B, G\u00fcm\u00fc\u015f ZH, Homann D, Horowitz A, Kamphorst AO, Curotto de Lafaille MA, Mehandru S, Merad M, Samstein RM, None None",
                "date": "2020-06-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "32505227",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32505227"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4736",
        "collision": 1
    },
    {
        "biomarker_id": "AA4736-2",
        "biomarker_component": [
            {
                "biomarker": "increased BCHE level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Cholinesterase",
                    "synonyms": [
                        {
                            "synonym": "Acylcholine acylhydrolase"
                        },
                        {
                            "synonym": "Butyrylcholine esterase"
                        },
                        {
                            "synonym": "Choline esterase II"
                        },
                        {
                            "synonym": "Pseudocholinesterase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06276",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "11154-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30711999",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30711999",
                        "evidence_list": [
                            {
                                "evidence": "Serum concentrations of albumin, cholinesterase and total cholesterol, and total peripheral lymphocyte count (TLC) were used as nutrition related markers. Results: In multivariate analysis of nutrition related markers, serum albumin and cholinesterase levels were found to be independent prognostic indicators."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "30711999",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30711999",
                "evidence_list": [
                    {
                        "evidence": "Serum concentrations of albumin, cholinesterase and total cholesterol, and total peripheral lymphocyte count (TLC) were used as nutrition related markers. Results: In multivariate analysis of nutrition related markers, serum albumin and cholinesterase levels were found to be independent prognostic indicators."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Combination of Serum Albumin and Cholinesterase Levels as Prognostic Indicator in Patients ith Colorectal Cancer.",
                "journal": "Anticancer research",
                "authors": "Yamamoto M, Saito H, Uejima C, Tanio A, Tada Y, Matsunaga T, Sakamoto T, Honjo S, Ashida K, Fujiwara Y",
                "date": "2019-02-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "30711999",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30711999"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4736",
        "collision": 1
    },
    {
        "biomarker_id": "AA4736-3",
        "biomarker_component": [
            {
                "biomarker": "increased BCHE level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Cholinesterase",
                    "synonyms": [
                        {
                            "synonym": "Acylcholine acylhydrolase"
                        },
                        {
                            "synonym": "Butyrylcholine esterase"
                        },
                        {
                            "synonym": "Choline esterase II"
                        },
                        {
                            "synonym": "Pseudocholinesterase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06276",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "11154-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "16233931",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16233931",
                        "evidence_list": [
                            {
                                "evidence": "Serum cholinesterase activity was measured in diabetes, hypertensive and diabetic/hypertensive patients. The sample consisted of volunteer patients and was divided in a control group (n = 26), type 2 diabetic group (n = 16), hypertensive group (n = 12) and type 2 diabetic/hypertensive group (n = 26). In addition, blood glucose, cholesterol and triglyceride levels were determined. Serum cholinesterase activity in the control group was significantly lower in relation to the other groups (p < 0.001). Blood glucose levels were elevated in type 2 diabetic and type 2 diabetic/hypertensive groups. In vitro studies showed increased cholinesterase activity in the presence of glucose 5100 mM or insulin 0.525 UI (p < 0.001). Cholesterol and triglycerides were at normal levels only in the control group. Possibly, a relationship exists between the increase in serum cholinesterase and the vascular complications in the diabetic patients, potentially stimulated by the levels of glycemia and dyslipidemia. Although patients were receiving different medicines, the increase in enzyme activity was similar in all groups. This enzymatic profile suggests a possible interference of the diseases in the catalytic mechanism of the serum cholinesterase enzyme."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "16233931",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16233931",
                "evidence_list": [
                    {
                        "evidence": "Serum cholinesterase activity was measured in diabetes, hypertensive and diabetic/hypertensive patients. The sample consisted of volunteer patients and was divided in a control group (n = 26), type 2 diabetic group (n = 16), hypertensive group (n = 12) and type 2 diabetic/hypertensive group (n = 26). In addition, blood glucose, cholesterol and triglyceride levels were determined. Serum cholinesterase activity in the control group was significantly lower in relation to the other groups (p < 0.001). Blood glucose levels were elevated in type 2 diabetic and type 2 diabetic/hypertensive groups. In vitro studies showed increased cholinesterase activity in the presence of glucose 5100 mM or insulin 0.525 UI (p < 0.001). Cholesterol and triglycerides were at normal levels only in the control group. Possibly, a relationship exists between the increase in serum cholinesterase and the vascular complications in the diabetic patients, potentially stimulated by the levels of glycemia and dyslipidemia. Although patients were receiving different medicines, the increase in enzyme activity was similar in all groups. This enzymatic profile suggests a possible interference of the diseases in the catalytic mechanism of the serum cholinesterase enzyme."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum cholinesterase activity in diabetes and associated pathologies.",
                "journal": "Diabetes research and clinical practice",
                "authors": "In\u00e1cio Lunkes G, Stefanello F, Sausen Lunkes D, Maria Morsch V, Schetinger MR, Gon\u00e7alves JF",
                "date": "2005-10-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "16233931",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16233931"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4736",
        "collision": 1
    },
    {
        "biomarker_id": "AA4737-1",
        "biomarker_component": [
            {
                "biomarker": "decreased ALB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Albumin",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02768",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "35706-1"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "35706-1"
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
                        "loinc_code": "35706-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32048163",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                        "evidence_list": [
                            {
                                "evidence": "The combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32304745",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304745",
                        "evidence_list": [
                            {
                                "evidence": "Decreased albumin (p <0.001), and increased lactate dehydrogenase (LDH) (p <0.001) at admission were significantly associated with severe and critical disease conditions (Table 3)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32296824",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32296824",
                        "evidence_list": [
                            {
                                "evidence": "We found that old age, and higher serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width, blood urea nitrogen, direct bilirubin, lower albumin, are associated with severe COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32490680",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32490680",
                        "evidence_list": [
                            {
                                "evidence": "Albumin levels could be used as an independent predictor of the risk of nonsurvivors in critically ill patients with COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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            ]
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        "evidence_source": [
            {
                "id": "32048163",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32048163",
                "evidence_list": [
                    {
                        "evidence": "The combinations of the hypoalbuminemia, lymphopenia, and high concentrations of CRP and LDH in 2019-nCoV infected patients upon hospital admission may predict more severe acute lung injury."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32304745",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32304745",
                "evidence_list": [
                    {
                        "evidence": "Decreased albumin (p <0.001), and increased lactate dehydrogenase (LDH) (p <0.001) at admission were significantly associated with severe and critical disease conditions (Table 3)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32296824",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32296824",
                "evidence_list": [
                    {
                        "evidence": "We found that old age, and higher serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width, blood urea nitrogen, direct bilirubin, lower albumin, are associated with severe COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32490680",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32490680",
                "evidence_list": [
                    {
                        "evidence": "Albumin levels could be used as an independent predictor of the risk of nonsurvivors in critically ill patients with COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury.",
                "journal": "Science China. Life sciences",
                "authors": "Liu Y, Yang Y, Zhang C, Huang F, Wang F, Yuan J, Wang Z, Li J, Li J, Feng C, Zhang Z, Wang L, Peng L, Chen L, Qin Y, Zhao D, Tan S, Yin L, Xu J, Zhou C, Jiang C, Liu L",
                "date": "2020-02-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32048163",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32048163"
                    }
                ]
            },
            {
                "title": "Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China.",
                "journal": "Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases",
                "authors": "Zhang J, Wang X, Jia X, Li J, Hu K, Chen G, Wei J, Gong Z, Zhou C, Yu H, Yu M, Lei H, Cheng F, Zhang B, Xu Y, Wang G, Dong W",
                "date": "2020-04-19",
                "evidence": [],
                "reference": [
                    {
                        "id": "32304745",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32304745"
                    }
                ]
            },
            {
                "title": "A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Gong J, Ou J, Qiu X, Jie Y, Chen Y, Yuan L, Cao J, Tan M, Xu W, Zheng F, Shi Y, Hu B",
                "date": "2020-04-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "32296824",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32296824"
                    }
                ]
            },
            {
                "title": "Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19.",
                "journal": "Biomarkers in medicine",
                "authors": "Li J, Li M, Zheng S, Li M, Zhang M, Sun M, Li X, Deng A, Cai Y, Zhang H",
                "date": "2020-06-04",
                "evidence": [],
                "reference": [
                    {
                        "id": "32490680",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32490680"
                    }
                ]
            }
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        "biomarker_canonical_id": "AA4737",
        "collision": 1
    },
    {
        "biomarker_id": "AA4737-2",
        "biomarker_component": [
            {
                "biomarker": "decreased ALB level",
                "assessed_biomarker_entity": {
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                    "synonyms": []
                },
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                "assessed_entity_type": "protein",
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                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "35706-1"
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
                        "loinc_code": "35706-1"
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                "evidence_source": [
                    {
                        "id": "32479790",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                        "evidence_list": [
                            {
                                "evidence": "Resistant organ damage indices (albumin and albumin-globulin ratio) were significantly associated with lower severity of COVID-19 in patients with cancer (table 3)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                            {
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        "best_biomarker_role": [
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            "recommended_name": {
                "id": "DOID:11054",
                "name": "urinary bladder cancer",
                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11054"
            },
            "synonyms": [
                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
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            ]
        },
        "evidence_source": [
            {
                "id": "32479790",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32479790",
                "evidence_list": [
                    {
                        "evidence": "Resistant organ damage indices (albumin and albumin-globulin ratio) were significantly associated with lower severity of COVID-19 in patients with cancer (table 3)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study.",
                "journal": "The Lancet. Oncology",
                "authors": "Tian J, Yuan X, Xiao J, Zhong Q, Yang C, Liu B, Cai Y, Lu Z, Wang J, Wang Y, Liu S, Cheng B, Wang J, Zhang M, Wang L, Niu S, Yao Z, Deng X, Zhou F, Wei W, Li Q, Chen X, Chen W, Yang Q, Wu S, Fan J, Shu B, Hu Z, Wang S, Yang XP, Liu W, Miao X, Wang Z",
                "date": "2020-06-02",
                "evidence": [],
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                    {
                        "id": "32479790",
                        "type": "Pubmed",
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        ],
        "biomarker_canonical_id": "AA4737",
        "collision": 1
    },
    {
        "biomarker_id": "AA4737-3",
        "biomarker_component": [
            {
                "biomarker": "decreased ALB level",
                "assessed_biomarker_entity": {
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                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02768",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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            {
                "title": "Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study.",
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                "authors": "Tian J, Yuan X, Xiao J, Zhong Q, Yang C, Liu B, Cai Y, Lu Z, Wang J, Wang Y, Liu S, Cheng B, Wang J, Zhang M, Wang L, Niu S, Yao Z, Deng X, Zhou F, Wei W, Li Q, Chen X, Chen W, Yang Q, Wu S, Fan J, Shu B, Hu Z, Wang S, Yang XP, Liu W, Miao X, Wang Z",
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                "title": "Circulating CXCR5",
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                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "Severe cases tend to have lower lymphocytes counts, higher leukocyte counts and neutrophil-lymphocyte-ratio (NLR), as well as lower percentages of monocytes, eosinophils, and basophils. Most of severe cases demonstrated elevated levels of infection-related biomarkers and inflammatory cytokines. The number of T cells significantly decreased, and more hampered in severe cases. Both helper T cells and suppressor T cells in patients with COVID-19 were below normal levels, and lower level of helper T cells in severe group. The percentage of naive helper T cells increased and memory helper T cells decreased in severe cases. Patients with COVID-19 also have lower level of regulatory T cells, and more obviously damaged in severe cases."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Severe cases tend to have lower lymphocytes counts, higher leukocyte counts and neutrophil-lymphocyte-ratio (NLR), as well as lower percentages of monocytes, eosinophils, and basophils. Most of severe cases demonstrated elevated levels of infection-related biomarkers and inflammatory cytokines. The number of T cells significantly decreased, and more hampered in severe cases. Both helper T cells and suppressor T cells in patients with COVID-19 were below normal levels, and lower level of helper T cells in severe group. The percentage of naive helper T cells increased and memory helper T cells decreased in severe cases. Patients with COVID-19 also have lower level of regulatory T cells, and more obviously damaged in severe cases."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4747",
        "collision": 1
    },
    {
        "biomarker_id": "AA4748-1",
        "biomarker_component": [
            {
                "biomarker": "increased MTH count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Memory Th cell",
                    "synonyms": [
                        {
                            "synonym": "memory T-cell"
                        },
                        {
                            "synonym": "memory T lymphocyte"
                        },
                        {
                            "synonym": "memory T-lymphocyte"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CO:CL_0000813",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30574794",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30574794",
                        "evidence_list": [
                            {
                                "evidence": "Subjects with type 2 diabetes mellitus had elevated percentages of effector memory T cells ((CD4+CD45RO+CD62L-; 21.8% \u00b1 11.2% vs 17.0% \u00b1 9.2% in non-type 2 diabetes mellitus, p < 0.01) and central memory T cells (CD4+CD45RO+CD62L+; 38.0% \u00b1 10.7% vs 36.0% \u00b1 9.5% in non-type 2 diabetes mellitus, p < 0.01). The proportion of effector memory T cells was increased in type 2 diabetes mellitus subjects with cardiovascular disease as compared to those without (26.4% \u00b1 11.5% vs 18.4% \u00b1 10.2%, p < 0.05), while no difference in regulatory T cells was observed between these two patient groups. This study identifies effector memory T cells as a potential cellular biomarker for cardiovascular disease among subjects with type 2 diabetes mellitus, suggesting a state of exacerbated immune activation in type 2 diabetes mellitus patients with cardiovascular disease."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30574794",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30574794",
                "evidence_list": [
                    {
                        "evidence": "Subjects with type 2 diabetes mellitus had elevated percentages of effector memory T cells ((CD4+CD45RO+CD62L-; 21.8% \u00b1 11.2% vs 17.0% \u00b1 9.2% in non-type 2 diabetes mellitus, p < 0.01) and central memory T cells (CD4+CD45RO+CD62L+; 38.0% \u00b1 10.7% vs 36.0% \u00b1 9.5% in non-type 2 diabetes mellitus, p < 0.01). The proportion of effector memory T cells was increased in type 2 diabetes mellitus subjects with cardiovascular disease as compared to those without (26.4% \u00b1 11.5% vs 18.4% \u00b1 10.2%, p < 0.05), while no difference in regulatory T cells was observed between these two patient groups. This study identifies effector memory T cells as a potential cellular biomarker for cardiovascular disease among subjects with type 2 diabetes mellitus, suggesting a state of exacerbated immune activation in type 2 diabetes mellitus patients with cardiovascular disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevated circulating effector memory T cells but similar levels of regulatory T cells in patients with type 2 diabetes mellitus and cardiovascular disease.",
                "journal": "Diabetes & vascular disease research",
                "authors": "Rattik S, Engelbertsen D, Wigren M, Ljungcrantz I, \u00d6stling G, Persson M, Nordin Fredrikson G, Bengtsson E, Nilsson J, Bj\u00f6rkbacka H",
                "date": "2018-12-24",
                "evidence": [],
                "reference": [
                    {
                        "id": "30574794",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30574794"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4748",
        "collision": 1
    },
    {
        "biomarker_id": "AA4749-1",
        "biomarker_component": [
            {
                "biomarker": "decreased TREG count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Regulatory T cell",
                    "synonyms": [
                        {
                            "synonym": "regulatory T-cell"
                        },
                        {
                            "synonym": "regulatory T lymphocyte"
                        },
                        {
                            "synonym": "suppressor T cell"
                        },
                        {
                            "synonym": "regulatory T-lymphocyte"
                        },
                        {
                            "synonym": "suppressor T lymphocyte"
                        },
                        {
                            "synonym": "suppressor T-lymphocyte"
                        },
                        {
                            "synonym": "Treg"
                        },
                        {
                            "synonym": "suppressor T-cell"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CO:CL_0000815",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "90413-6"
                    },
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "14135-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32161940",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                        "evidence_list": [
                            {
                                "evidence": "Severe cases tend to have lower lymphocytes counts, higher leukocyte counts and neutrophil-lymphocyte-ratio (NLR), as well as lower percentages of monocytes, eosinophils, and basophils. Most of severe cases demonstrated elevated levels of infection-related biomarkers and inflammatory cytokines. The number of T cells significantly decreased, and more hampered in severe cases. Both helper T cells and suppressor T cells in patients with COVID-19 were below normal levels, and lower level of helper T cells in severe group. The percentage of naive helper T cells increased and memory helper T cells decreased in severe cases. Patients with COVID-19 also have lower level of regulatory T cells, and more obviously damaged in severe cases."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32161940",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32161940",
                "evidence_list": [
                    {
                        "evidence": "Severe cases tend to have lower lymphocytes counts, higher leukocyte counts and neutrophil-lymphocyte-ratio (NLR), as well as lower percentages of monocytes, eosinophils, and basophils. Most of severe cases demonstrated elevated levels of infection-related biomarkers and inflammatory cytokines. The number of T cells significantly decreased, and more hampered in severe cases. Both helper T cells and suppressor T cells in patients with COVID-19 were below normal levels, and lower level of helper T cells in severe group. The percentage of naive helper T cells increased and memory helper T cells decreased in severe cases. Patients with COVID-19 also have lower level of regulatory T cells, and more obviously damaged in severe cases."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.",
                "journal": "Clinical infectious diseases : an official publication of the Infectious Diseases Society of America",
                "authors": "Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, Xie C, Ma K, Shang K, Wang W, Tian DS",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32161940",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32161940"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4749",
        "collision": 1
    },
    {
        "biomarker_id": "AA4750-1",
        "biomarker_component": [
            {
                "biomarker": "increased TREG count",
                "assessed_biomarker_entity": {
                    "recommended_name": "Regulatory T cell",
                    "synonyms": [
                        {
                            "synonym": "regulatory T-cell"
                        },
                        {
                            "synonym": "regulatory T lymphocyte"
                        },
                        {
                            "synonym": "suppressor T cell"
                        },
                        {
                            "synonym": "regulatory T-lymphocyte"
                        },
                        {
                            "synonym": "suppressor T lymphocyte"
                        },
                        {
                            "synonym": "suppressor T-lymphocyte"
                        },
                        {
                            "synonym": "Treg"
                        },
                        {
                            "synonym": "suppressor T-cell"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CO:CL_0000815",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "90413-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "27976733",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27976733",
                        "evidence_list": [
                            {
                                "evidence": "The percentages of naive Treg were found elevated in NSCLC patients compared to HD and were associated with poor clinical outcome, whereas the percentage of terminal effector Treg was lower compared to HD and higher levels were correlated with improved clinical response. At baseline, normal levels of naive and effector Treg were associated with longer overall survival (OS) compared to high levels, while the high frequency of the terminal effector Treg was correlated with longer Progression-Free Survival and OS."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "27976733",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27976733",
                "evidence_list": [
                    {
                        "evidence": "The percentages of naive Treg were found elevated in NSCLC patients compared to HD and were associated with poor clinical outcome, whereas the percentage of terminal effector Treg was lower compared to HD and higher levels were correlated with improved clinical response. At baseline, normal levels of naive and effector Treg were associated with longer overall survival (OS) compared to high levels, while the high frequency of the terminal effector Treg was correlated with longer Progression-Free Survival and OS."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prognostic value of circulating regulatory T cell subsets in untreated non-small cell lung cancer patients.",
                "journal": "Scientific reports",
                "authors": "Kotsakis A, Koinis F, Katsarou A, Gioulbasani M, Aggouraki D, Kentepozidis N, Georgoulias V, Vetsika EK",
                "date": "2016-12-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "27976733",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27976733"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4750",
        "collision": 1
    },
    {
        "biomarker_id": "AA4751-1",
        "biomarker_component": [
            {
                "biomarker": "increased ESR",
                "assessed_biomarker_entity": {
                    "recommended_name": "Erythrocyte sedimentation rate",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C74611",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "30341-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29285390",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29285390",
                        "evidence_list": [
                            {
                                "evidence": "Elevated ESR was found to be associated with metastatic disease and was also found to be a prognostic factor adversely affecting survival in patients with cutaneous melanoma."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "29285390",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/29285390",
                "evidence_list": [
                    {
                        "evidence": "Elevated ESR was found to be associated with metastatic disease and was also found to be a prognostic factor adversely affecting survival in patients with cutaneous melanoma."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevated erythrocyte sedimentation rate is associated with metastatic disease and worse survival in patients with cutaneous malignant melanoma.",
                "journal": "Molecular and clinical oncology",
                "authors": "Tas F, Erturk K",
                "date": "2017-12-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "29285390",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29285390"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4751",
        "collision": 1
    },
    {
        "biomarker_id": "AA4751-2",
        "biomarker_component": [
            {
                "biomarker": "increased ESR",
                "assessed_biomarker_entity": {
                    "recommended_name": "Erythrocyte sedimentation rate",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C74611",
                "assessed_entity_type": "cell",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "30341-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32503382",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32503382",
                        "evidence_list": [
                            {
                                "evidence": "Erythrocyte sedimentation rate (ESR) (R=0.55, p < .01) was positively associated with CT severity scores. To sum up, we can conclude from the analysis of published studies that hematological (lymphocyte count, neutrophil count, and NLR), inflammatory (CRP, ESR, IL-6), and especially biochemical (D-dimer, Troponins, CK) parameters correlate with severe prognosis or exitus in COVID-19 patients and can therefore be used as predictive biomarkers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32324595",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32324595",
                        "evidence_list": [
                            {
                                "evidence": "Inflammatory biomarkers such as CRP and erythrocyte sedimentation rate were increased."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
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            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
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                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32503382",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32503382",
                "evidence_list": [
                    {
                        "evidence": "Erythrocyte sedimentation rate (ESR) (R=0.55, p < .01) was positively associated with CT severity scores. To sum up, we can conclude from the analysis of published studies that hematological (lymphocyte count, neutrophil count, and NLR), inflammatory (CRP, ESR, IL-6), and especially biochemical (D-dimer, Troponins, CK) parameters correlate with severe prognosis or exitus in COVID-19 patients and can therefore be used as predictive biomarkers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32324595",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32324595",
                "evidence_list": [
                    {
                        "evidence": "Inflammatory biomarkers such as CRP and erythrocyte sedimentation rate were increased."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Biomarkers associated with COVID-19 disease progression.",
                "journal": "Critical reviews in clinical laboratory sciences",
                "authors": "Ponti G, Maccaferri M, Ruini C, Tomasi A, Ozben T",
                "date": "2020-06-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "32503382",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32503382"
                    }
                ]
            },
            {
                "title": "The laboratory tests and host immunity of COVID-19 patients with different severity of illness.",
                "journal": "JCI insight",
                "authors": "Wang F, Hou H, Luo Y, Tang G, Wu S, Huang M, Liu W, Zhu Y, Lin Q, Mao L, Fang M, Zhang H, Sun Z",
                "date": "2020-04-24",
                "evidence": [],
                "reference": [
                    {
                        "id": "32324595",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32324595"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4751",
        "collision": 1
    },
    {
        "biomarker_id": "AA4752-1",
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            {
                "biomarker": "increased IL8 level",
                "assessed_biomarker_entity": {
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                    "synonyms": [
                        {
                            "synonym": "IL-8"
                        },
                        {
                            "synonym": "C-X-C motif chemokine 8"
                        },
                        {
                            "synonym": "Chemokine (C-X-C motif) ligand 8"
                        },
                        {
                            "synonym": "Emoctakin"
                        },
                        {
                            "synonym": "Granulocyte chemotactic protein 1"
                        },
                        {
                            "synonym": "GCP-1"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil chemotactic factor"
                        },
                        {
                            "synonym": "MDNCF"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil-activating peptide"
                        },
                        {
                            "synonym": "MONAP"
                        },
                        {
                            "synonym": "Neutrophil-activating protein 1"
                        },
                        {
                            "synonym": "NAP-1"
                        },
                        {
                            "synonym": "Protein 3-10C"
                        },
                        {
                            "synonym": "T-cell chemotactic factor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10145",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33211-4"
                    },
                    {
                        "name": "blood serum",
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                ],
                "evidence_source": [
                    {
                        "id": "32511562",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511562",
                        "evidence_list": [
                            {
                                "evidence": "COVID-19 is associated with high levels of [IL-6, TNF-a, IL-1b, and CXCL8/IL-8]. We found that high serum IL-6, IL-8, and TNF alpha levels at the time of hospitalization were strong and independent predictors of patient survival."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                    }
                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32511562",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32511562",
                "evidence_list": [
                    {
                        "evidence": "COVID-19 is associated with high levels of [IL-6, TNF-a, IL-1b, and CXCL8/IL-8]. We found that high serum IL-6, IL-8, and TNF alpha levels at the time of hospitalization were strong and independent predictors of patient survival."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "An inflammatory cytokine signature helps predict COVID-19 severity and death.",
                "journal": "medRxiv : the preprint server for health sciences",
                "authors": "Del Valle DM, Kim-Schulze S, Hsin-Hui H, Beckmann ND, Nirenberg S, Wang B, Lavin Y, Swartz T, Madduri D, Stock A, Marron T, Xie H, Patel MK, van Oekelen O, Rahman A, Kovatch P, Aberg J, Schadt E, Jagannath S, Mazumdar M, Charney A, Firpo-Betancourt A, Mendu DR, Jhang J, Reich D, Sigel K, Cordon-Cardo C, Feldmann M, Parekh S, Merad M, Gnjatic S",
                "date": "2020-06-09",
                "evidence": [],
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                    {
                        "id": "32511562",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511562"
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        "biomarker_canonical_id": "AA4752",
        "collision": 1
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    {
        "biomarker_id": "AA4752-2",
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            {
                "biomarker": "increased IL8 level",
                "assessed_biomarker_entity": {
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                            "synonym": "IL-8"
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                        {
                            "synonym": "C-X-C motif chemokine 8"
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                        {
                            "synonym": "Chemokine (C-X-C motif) ligand 8"
                        },
                        {
                            "synonym": "Emoctakin"
                        },
                        {
                            "synonym": "Granulocyte chemotactic protein 1"
                        },
                        {
                            "synonym": "GCP-1"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil chemotactic factor"
                        },
                        {
                            "synonym": "MDNCF"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil-activating peptide"
                        },
                        {
                            "synonym": "MONAP"
                        },
                        {
                            "synonym": "Neutrophil-activating protein 1"
                        },
                        {
                            "synonym": "NAP-1"
                        },
                        {
                            "synonym": "Protein 3-10C"
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                        {
                            "synonym": "T-cell chemotactic factor"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10145",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33211-4"
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                    {
                        "name": "blood serum",
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                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
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                ],
                "evidence_source": [
                    {
                        "id": "28791816",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28791816",
                        "evidence_list": [
                            {
                                "evidence": "The study showed that IL-6, IL-8 and TNF-alpha levels correlated with clinical disease stage and lymph node metastasis as well as with ER and HER2 antigen expression. Specifically, IL-6 and IL-8 seem to have significant potential as prognostic cancer biomarkers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "28791816",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28791816",
                "evidence_list": [
                    {
                        "evidence": "The study showed that IL-6, IL-8 and TNF-alpha levels correlated with clinical disease stage and lymph node metastasis as well as with ER and HER2 antigen expression. Specifically, IL-6 and IL-8 seem to have significant potential as prognostic cancer biomarkers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "IL-6, IL-8 and TNF-\u03b1 levels correlate with disease stage in breast cancer patients.",
                "journal": "Advances in clinical and experimental medicine : official organ Wroclaw Medical University",
                "authors": "Ma Y, Ren Y, Dai ZJ, Wu CJ, Ji YH, Xu J",
                "date": "2017-08-10",
                "evidence": [],
                "reference": [
                    {
                        "id": "28791816",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28791816"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4752",
        "collision": 1
    },
    {
        "biomarker_id": "AA4752-3",
        "biomarker_component": [
            {
                "biomarker": "increased IL8 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-8",
                    "synonyms": [
                        {
                            "synonym": "IL-8"
                        },
                        {
                            "synonym": "C-X-C motif chemokine 8"
                        },
                        {
                            "synonym": "Chemokine (C-X-C motif) ligand 8"
                        },
                        {
                            "synonym": "Emoctakin"
                        },
                        {
                            "synonym": "Granulocyte chemotactic protein 1"
                        },
                        {
                            "synonym": "GCP-1"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil chemotactic factor"
                        },
                        {
                            "synonym": "MDNCF"
                        },
                        {
                            "synonym": "Monocyte-derived neutrophil-activating peptide"
                        },
                        {
                            "synonym": "MONAP"
                        },
                        {
                            "synonym": "Neutrophil-activating protein 1"
                        },
                        {
                            "synonym": "NAP-1"
                        },
                        {
                            "synonym": "Protein 3-10C"
                        },
                        {
                            "synonym": "T-cell chemotactic factor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10145",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33211-4"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "33211-4"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "28836077",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28836077",
                        "evidence_list": [
                            {
                                "evidence": "Patients with T2D exhibited significantly higher serum IL-8 levels than non-diabetic subjects (69.27 \u00b1 112.83 vs. 16.03 \u00b1 24.27 pg/mL, p < 0.001). Patients with T2D display a marked elevation of circulating IL-8 levels which identify subjects with worse inflammatory, glycometabolic and lipid profile and lower vitamin D levels."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "28836077",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28836077",
                "evidence_list": [
                    {
                        "evidence": "Patients with T2D exhibited significantly higher serum IL-8 levels than non-diabetic subjects (69.27 \u00b1 112.83 vs. 16.03 \u00b1 24.27 pg/mL, p < 0.001). Patients with T2D display a marked elevation of circulating IL-8 levels which identify subjects with worse inflammatory, glycometabolic and lipid profile and lower vitamin D levels."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Circulating IL-8 levels are increased in patients with type 2 diabetes and associated with worse inflammatory and cardiometabolic profile.",
                "journal": "Acta diabetologica",
                "authors": "Cimini FA, Barchetta I, Porzia A, Mainiero F, Costantino C, Bertoccini L, Ceccarelli V, Morini S, Baroni MG, Lenzi A, Cavallo MG",
                "date": "2017-08-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "28836077",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28836077"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4752",
        "collision": 1
    },
    {
        "biomarker_id": "AA4753-1",
        "biomarker_component": [
            {
                "biomarker": "increased TNNI3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Cardiac troponin I",
                    "synonyms": [
                        {
                            "synonym": "Cardiac troponin I"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P19429",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "10839-9"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32169400",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32169400",
                        "evidence_list": [
                            {
                                "evidence": "cTnI values are significantly increased in patients with severe SARS-CoV-2 infection compared to those with milder forms of disease. It is hence reasonable to hypothesize that initial measurement of cardiac damage biomarkers immediately after hospitalization for SARS-CoV-2 infection, as well as longitudinal monitoring during hospital stay, may help identifying a subset of patients with possible cardiac injury and thereby predict the progression of COVID-19 towards a worse clinical picture."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32530509",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32530509",
                        "evidence_list": [
                            {
                                "evidence": "High troponin I levels with either advanced age more than 60 years or elevated AST levels was the best model to predict poor outcomes."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32171076",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
                        "evidence_list": [
                            {
                                "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                            {
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
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                            {
                                "evidence": "In a cohort of 191 patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, the univariable odds ratio for death when high-sensitivity cardiac troponin I concentrations were above the 99th percentile upper reference limit was 80.1 (95% CI, 10.3-620.4; P<0.0001). This was higher than the odds ratios observed for all other biomarkers tested, including D-dimer and lymphocyte count."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                {
                    "id": "DOID:0080600",
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                    "id": "DOID:0080600",
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                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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                "id": "32530509",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32530509",
                "evidence_list": [
                    {
                        "evidence": "High troponin I levels with either advanced age more than 60 years or elevated AST levels was the best model to predict poor outcomes."
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                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
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                "id": "32171076",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
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                    {
                        "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
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                    {
                        "tag": "condition"
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            },
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                "id": "32475810",
                "database": "Pubmed",
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                        "evidence": "A retrospective study performed in China of patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, revealed a univariable odds ratio for death at 80.1 (95% CI 10.3-620.4, p<0.0001) for hs-TnI. Another study of 416 hospitalised patients with COVID-19 reported that hs-TnI was elevated in 1 in 5 patients on presentation."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "32251612",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32251612",
                "evidence_list": [
                    {
                        "evidence": "In a cohort of 191 patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, the univariable odds ratio for death when high-sensitivity cardiac troponin I concentrations were above the 99th percentile upper reference limit was 80.1 (95% CI, 10.3-620.4; P<0.0001). This was higher than the odds ratios observed for all other biomarkers tested, including D-dimer and lymphocyte count."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Cardiac troponin I in patients with coronavirus disease 2019 (COVID-19): Evidence from a meta-analysis.",
                "journal": "Progress in cardiovascular diseases",
                "authors": "Lippi G, Lavie CJ, Sanchis-Gomar F",
                "date": "2020-03-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32169400",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32169400"
                    }
                ]
            },
            {
                "title": "Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID-19 patients: A meta-regression and decision tree analysis.",
                "journal": "Journal of medical virology",
                "authors": "Toraih EA, Elshazli RM, Hussein MH, Elgaml A, Amin M, El-Mowafy M, El-Mesery M, Ellythy A, Duchesne J, Killackey MT, Ferdinand KC, Kandil E, Fawzy MS",
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                    {
                        "id": "32530509",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32530509"
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                ]
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                "title": "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.",
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                "authors": "Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B",
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                ]
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            {
                "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.",
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                "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A",
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                        "id": "32475810",
                        "type": "Pubmed",
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                ]
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            {
                "title": "High-Sensitivity Cardiac Troponin Can Be an Ally in the Fight Against COVID-19.",
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                "authors": "Chapman AR, Bularga A, Mills NL",
                "date": "2020-04-07",
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                        "id": "32251612",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32251612"
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                        "evidence": "Diabetic patients frequently develop a constellation of electrolyte disorders. These disturbances are particularly common in decompensated diabetics, especially in the context of diabetic ketoacidosis or nonketotic hyperglycemic hyperosmolar syndrome. These patients are markedly potassium, magnesium and phosphate-depleted."
                    }
                ],
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                "title": "Diabetes mellitus and electrolyte disorders.",
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                        ],
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                {
                    "id": "DOID:0080600",
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                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
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                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:0080600",
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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            ]
        },
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                "evidence_list": [
                    {
                        "evidence": "The NCDLR value can be widely used as a clinical biomarker for disease progression and clinical outcomes in COVID-19 patients."
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                ],
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                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
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                {
                    "id": "DOID:9351",
                    "name": "diabetes",
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            {
                "id": "30992036",
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                "url": "https://pubmed.ncbi.nlm.nih.gov/30992036",
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                    {
                        "evidence": "In T2DM, NETosis markers in circulating plasma, such as H3Cit and cfDNA, are related to glycemia control, systemic low-grade inflammation markers and previous MI. Enhanced NETosis detectable in circulating blood is associated with a prothrombotic state, especially hypofibrinolysis in T2DM patients. The present study shows that NETosis might contribute to thrombotic and cardiovascular risk in that disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Predictors of neutrophil extracellular traps markers in type 2 diabetes mellitus: associations with a prothrombotic state and hypofibrinolysis.",
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                "authors": "Bryk AH, Prior SM, Plens K, Konieczynska M, Hohendorff J, Malecki MT, Butenas S, Undas A",
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                            {
                                "evidence": "Alanine aminotransferase is present at increased level in COVID-19 patients with severe disease and as such may be useful to monitor in patients admitted to the ICU."
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                                "tag": "biomarker"
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                                "tag": "biomarker"
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                                "evidence": "Liver dysfunction with chronically increased serum Alanine aminotransferase indicates adverse outcome of COVID-19."
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                                "evidence": "Increase in alanine aminotransferase can be used to predict COVID-19 severity."
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                                "tag": "biomarker"
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                                "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
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                                "evidence": "Our findings suggest that level of LDH, CRP, ALT and NEU can be used to predict the result of COVID-19 test."
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                                "tag": "biomarker"
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                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Alanine aminotransferase is present at increased level in COVID-19 patients with severe disease and as such may be useful to monitor in patients admitted to the ICU."
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                ],
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                    {
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                "id": "32669866",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Liver enzymes including ALT and AST are useful biomarkers of hepatic dysfunction in COVID-19 patients. Most liver diseases initially cause mild symptoms, but they must be detected early."
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                ],
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                        "tag": "condition"
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                "id": "32438331",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32438331",
                "evidence_list": [
                    {
                        "evidence": "Liver dysfunction with chronically increased serum Alanine aminotransferase indicates adverse outcome of COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "32234718",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32234718",
                "evidence_list": [
                    {
                        "evidence": "Increase in alanine aminotransferase can be used to predict COVID-19 severity."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "32171076",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
                "evidence_list": [
                    {
                        "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
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                ],
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                    {
                        "tag": "condition"
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            {
                "id": "32259132",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32259132",
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                    {
                        "evidence": "Our findings suggest that level of LDH, CRP, ALT and NEU can be used to predict the result of COVID-19 test."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "COVID-19 and the clinical hematology laboratory.",
                "journal": "International journal of laboratory hematology",
                "authors": "Frater JL, Zini G, d'Onofrio G, Rogers HJ",
                "date": "2020-04-21",
                "evidence": [],
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                    {
                        "id": "32311826",
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            {
                "title": "Alteration of Liver Biomarkers in Patients with SARS-CoV-2 (COVID-19).",
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                "authors": "Gholizadeh P, Safari R, Marofi P, Zeinalzadeh E, Pagliano P, Ganbarov K, Esposito S, Khodadadi E, Yousefi M, Samadi Kafil H",
                "date": "2020-07-17",
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                    {
                        "id": "32669866",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32669866"
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                ]
            },
            {
                "title": "Diabetes and metabolic syndrome as risk factors for COVID-19.",
                "journal": "Diabetes & metabolic syndrome",
                "authors": "Marhl M, Grubelnik V, Magdi\u010d M, Markovi\u010d R",
                "date": "2020-05-22",
                "evidence": [],
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                    {
                        "id": "32438331",
                        "type": "Pubmed",
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                "title": "Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study.",
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                "date": "2020-04-03",
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                "title": "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.",
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                        "id": "32171076",
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            {
                "title": "Laboratory Parameters in Detection of COVID-19 Patients with Positive RT-PCR; a Diagnostic Accuracy Study.",
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                "authors": "Mardani R, Ahmadi Vasmehjani A, Zali F, Gholami A, Mousavi Nasab SD, Kaghazian H, Kaviani M, Ahmadi N",
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                "biomarker": "increased ALT level",
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                                "evidence": "Several prospective studies have demonstrated associations between GGT or ALT and risk of type 2 diabetes mellitus, cardiovascular disease, vascular and nonvascular mortality, and all cause mortality outcomes. Emerging evidence indicates that increasing levels of GGT and ALT may each be linked to cancer risk. A number of prospective studies have been published reporting on the associations between baseline levels of these enzymes and risk of cancer, but their results have been inconsistent, particularly for ALT. Whereas some studies have observed positive associations of circulating levels of these enzymes with risk of cancer, others have shown inverse associations, with some studies showing no associations at all."
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                                "tag": "biomarker"
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                {
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                        "evidence": "Several prospective studies have demonstrated associations between GGT or ALT and risk of type 2 diabetes mellitus, cardiovascular disease, vascular and nonvascular mortality, and all cause mortality outcomes. Emerging evidence indicates that increasing levels of GGT and ALT may each be linked to cancer risk. A number of prospective studies have been published reporting on the associations between baseline levels of these enzymes and risk of cancer, but their results have been inconsistent, particularly for ALT. Whereas some studies have observed positive associations of circulating levels of these enzymes with risk of cancer, others have shown inverse associations, with some studies showing no associations at all."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Gamma glutamyltransferase, alanine aminotransferase and risk of cancer: systematic review and meta-analysis.",
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                                "evidence": "The accuracy of classification of severe case was also the highest when using HGF. Thus, HGF was ultimately used as the biomarker to discriminate severe from nonsevere COVID-19 patients."
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                {
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                ],
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                },
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                    {
                        "name": "blood serum",
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                        "evidence_list": [
                            {
                                "evidence": "Serum HGF concentration may be a new marker of atherosclerotic complications in patients with Type 2 DM."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
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        ],
        "condition": {
            "id": "DOID:9351",
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                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
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        },
        "evidence_source": [
            {
                "id": "16759302",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Serum HGF concentration may be a new marker of atherosclerotic complications in patients with Type 2 DM."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical significance of circulating hepatocyte growth factor, a new risk marker of carotid atherosclerosis in patients with Type 2 diabetes.",
                "journal": "Diabetic medicine : a journal of the British Diabetic Association",
                "authors": "Satani K, Konya H, Hamaguchi T, Umehara A, Katsuno T, Ishikawa T, Kohri K, Hasegawa Y, Suehiro A, Kakishita E, Namba M",
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                    {
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            {
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                            "synonym": "cCAT"
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                            "synonym": "Glutamate oxaloacetate transaminase 1"
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                    {
                        "name": "blood",
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                        "name": "blood serum",
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                            {
                                "evidence": "AST is strongly associated with mortality risk compared to other parameters. Significant elevation in liver enzymes (alanine aminotransferase (ALT) and aspartate aminotransferase (AST)) is associated with critical changes in renal function parameters (blood urea nitrogen, creatinine) and coagulation markers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                        "id": "32530509",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "High troponin I levels with either advanced age more than 60 years or elevated AST levels was the best model to predict poor outcomes."
                            }
                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
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                            },
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                                "tag": "assessed_biomarker_entity_id"
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                                "evidence": "Compared to non-severe patients, severe patients showed significant suppression of lymphocyte count and monocyte count, as well as increase of CRP and AST."
                            }
                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        "id": "32286245",
                        "database": "Pubmed",
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                                "evidence": "Combined with significant elevations in liver enzymes (alanine aminotransferase and aspartate aminotransferase), renal biomarkers (blood urea nitrogen, creatinine), and coagulation measures, a picture of MOF becomes very apparent in patients who develop the severe form of the disease, even with laboratory parameters measured primarily at admission."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                        "id": "32293098",
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                                "evidence": "Impending hyperinflammation can manifest as cytopenias (thrombocytopenia and lymphopenia), coagulopathy (low platelet and fibrinogen levels, and elevated d -dimer levels), tissue damage/hepatitis (elevated LDH, aspartate aminotransferase, and alanine aminotransferase levels), and macrophage/hepatocyte activation (elevated ferritin levels)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
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                                "tag": "assessed_entity_type"
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                "resource": "Disease Ontology",
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                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:0080600",
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                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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            {
                "id": "32503382",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32503382",
                "evidence_list": [
                    {
                        "evidence": "AST is strongly associated with mortality risk compared to other parameters. Significant elevation in liver enzymes (alanine aminotransferase (ALT) and aspartate aminotransferase (AST)) is associated with critical changes in renal function parameters (blood urea nitrogen, creatinine) and coagulation markers."
                    }
                ],
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                    {
                        "tag": "condition"
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            },
            {
                "id": "32530509",
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                "evidence_list": [
                    {
                        "evidence": "High troponin I levels with either advanced age more than 60 years or elevated AST levels was the best model to predict poor outcomes."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32492406",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32492406",
                "evidence_list": [
                    {
                        "evidence": "Compared to non-severe patients, severe patients showed significant suppression of lymphocyte count and monocyte count, as well as increase of CRP and AST."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32286245",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32286245",
                "evidence_list": [
                    {
                        "evidence": "Combined with significant elevations in liver enzymes (alanine aminotransferase and aspartate aminotransferase), renal biomarkers (blood urea nitrogen, creatinine), and coagulation measures, a picture of MOF becomes very apparent in patients who develop the severe form of the disease, even with laboratory parameters measured primarily at admission."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32293098",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32293098",
                "evidence_list": [
                    {
                        "evidence": "Impending hyperinflammation can manifest as cytopenias (thrombocytopenia and lymphopenia), coagulopathy (low platelet and fibrinogen levels, and elevated d -dimer levels), tissue damage/hepatitis (elevated LDH, aspartate aminotransferase, and alanine aminotransferase levels), and macrophage/hepatocyte activation (elevated ferritin levels)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Biomarkers associated with COVID-19 disease progression.",
                "journal": "Critical reviews in clinical laboratory sciences",
                "authors": "Ponti G, Maccaferri M, Ruini C, Tomasi A, Ozben T",
                "date": "2020-06-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "32503382",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32503382"
                    }
                ]
            },
            {
                "title": "Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID-19 patients: A meta-regression and decision tree analysis.",
                "journal": "Journal of medical virology",
                "authors": "Toraih EA, Elshazli RM, Hussein MH, Elgaml A, Amin M, El-Mowafy M, El-Mesery M, Ellythy A, Duchesne J, Killackey MT, Ferdinand KC, Kandil E, Fawzy MS",
                "date": "2020-06-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32530509",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32530509"
                    }
                ]
            },
            {
                "title": "Proteomic and Metabolomic Characterization of COVID-19 Patient Sera.",
                "journal": "Cell",
                "authors": "Shen B, Yi X, Sun Y, Bi X, Du J, Zhang C, Quan S, Zhang F, Sun R, Qian L, Ge W, Liu W, Liang S, Chen H, Zhang Y, Li J, Xu J, He Z, Chen B, Wang J, Yan H, Zheng Y, Wang D, Zhu J, Kong Z, Kang Z, Liang X, Ding X, Ruan G, Xiang N, Cai X, Gao H, Li L, Li S, Xiao Q, Lu T, Zhu Y, Liu H, Chen H, Guo T",
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                "evidence": [],
                "reference": [
                    {
                        "id": "32492406",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32492406"
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                ]
            },
            {
                "title": "Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.",
                "journal": "Clinical chemistry and laboratory medicine",
                "authors": "Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G",
                "date": "2020-04-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32286245",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32286245"
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                ]
            },
            {
                "title": "On the Alert for Cytokine Storm: Immunopathology in COVID-19.",
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                "authors": "Henderson LA, Canna SW, Schulert GS, Volpi S, Lee PY, Kernan KF, Caricchio R, Mahmud S, Hazen MM, Halyabar O, Hoyt KJ, Han J, Grom AA, Gattorno M, Ravelli A, De Benedetti F, Behrens EM, Cron RQ, Nigrovic PA",
                "date": "2020-04-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "32293098",
                        "type": "Pubmed",
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                ]
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        "biomarker_canonical_id": "AA4762",
        "collision": 1
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    {
        "biomarker_id": "AA4762-2",
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            {
                "biomarker": "increased GOT1 level",
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                            "synonym": "Cysteine transaminase, cytoplasmic"
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                            "synonym": "cCAT"
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                            "synonym": "Glutamate oxaloacetate transaminase 1"
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                            "synonym": "Transaminase A"
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                        "name": "blood",
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                                "evidence": "Increased levels of AST had a higher risk for esophageal cancer."
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                        ],
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                                "tag": "biomarker"
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                "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of middle third of oesophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of abdominal esophagus",
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                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
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                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
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                },
                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
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        "evidence_source": [
            {
                "id": "20376881",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20376881",
                "evidence_list": [
                    {
                        "evidence": "Increased levels of AST had a higher risk for esophageal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The independent effects of cigarette smoking, alcohol consumption, and serum aspartate aminotransferase on the alanine aminotransferase ratio in korean men for the risk for esophageal cancer.",
                "journal": "Yonsei medical journal",
                "authors": "Kimm H, Kim S, Jee SH",
                "date": "2010-04-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "20376881",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20376881"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4762",
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    },
    {
        "biomarker_id": "AA4763-1",
        "biomarker_component": [
            {
                "biomarker": "increased CK level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Creatine kinase",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PRO:PR_000050361",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "2157-6"
                    },
                    {
                        "name": "blood serum",
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                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "2157-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32589600",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32589600",
                        "evidence_list": [
                            {
                                "evidence": "COVID-19 patients typically present increased levels of biomarkers of muscle injury, namely creatine-kinase (CK) and myoglobin. However, the alterations of such biomarkers could be the result of several clinical conditions, including kidney dysfunction and cardiac injury, or a direct effect of the SARS-CoV-2, which can also infect cells of the muscle tissue due to the expression of the ACE2 receptor."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "32503382",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32503382",
                        "evidence_list": [
                            {
                                "evidence": "To sum up, we can conclude from the analysis of published studies that hematological (lymphocyte count, neutrophil count, and NLR), inflammatory (CRP, ESR, IL-6), and especially biochemical (D-dimer, Troponins, CK) parameters correlate with severe prognosis or exitus in COVID-19 patients and can therefore be used as predictive biomarkers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32247631",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32247631",
                        "evidence_list": [
                            {
                                "evidence": "In keeping with this observation, 138 patients with COVID-19, who were admitted to an intensive care unit, showed a tendency toward increased creatine kinase levels."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32171076",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
                        "evidence_list": [
                            {
                                "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
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            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32589600",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32589600",
                "evidence_list": [
                    {
                        "evidence": "COVID-19 patients typically present increased levels of biomarkers of muscle injury, namely creatine-kinase (CK) and myoglobin. However, the alterations of such biomarkers could be the result of several clinical conditions, including kidney dysfunction and cardiac injury, or a direct effect of the SARS-CoV-2, which can also infect cells of the muscle tissue due to the expression of the ACE2 receptor."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32503382",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32503382",
                "evidence_list": [
                    {
                        "evidence": "To sum up, we can conclude from the analysis of published studies that hematological (lymphocyte count, neutrophil count, and NLR), inflammatory (CRP, ESR, IL-6), and especially biochemical (D-dimer, Troponins, CK) parameters correlate with severe prognosis or exitus in COVID-19 patients and can therefore be used as predictive biomarkers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32247631",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32247631",
                "evidence_list": [
                    {
                        "evidence": "In keeping with this observation, 138 patients with COVID-19, who were admitted to an intensive care unit, showed a tendency toward increased creatine kinase levels."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32171076",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32171076",
                "evidence_list": [
                    {
                        "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Biochemical biomarkers alterations in Coronavirus Disease 2019 (COVID-19).",
                "journal": "Diagnosis (Berlin, Germany)",
                "authors": "Ciaccio M, Agnello L",
                "date": "2020-06-27",
                "evidence": [],
                "reference": [
                    {
                        "id": "32589600",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32589600"
                    }
                ]
            },
            {
                "title": "Biomarkers associated with COVID-19 disease progression.",
                "journal": "Critical reviews in clinical laboratory sciences",
                "authors": "Ponti G, Maccaferri M, Ruini C, Tomasi A, Ozben T",
                "date": "2020-06-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "32503382",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32503382"
                    }
                ]
            },
            {
                "title": "Kidney disease is associated with in-hospital death of patients with COVID-19.",
                "journal": "Kidney international",
                "authors": "Cheng Y, Luo R, Wang K, Zhang M, Wang Z, Dong L, Li J, Yao Y, Ge S, Xu G",
                "date": "2020-04-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32247631",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32247631"
                    }
                ]
            },
            {
                "title": "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.",
                "journal": "Lancet (London, England)",
                "authors": "Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B",
                "date": "2020-03-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32171076",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32171076"
                    }
                ]
            }
        ],
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        "collision": 1
    },
    {
        "biomarker_id": "AA4764-1",
        "biomarker_component": [
            {
                "biomarker": "decreased Na+ level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Sodium",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PCCID:5360545",
                "assessed_entity_type": "chemical element",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                ],
                "evidence_source": [
                    {
                        "id": "33552948",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33552948",
                        "evidence_list": [
                            {
                                "evidence": "Lower levels of sodium can indicate poorer results of esophageal carcinoma, but higher survival benefits of adjuvant therapy."
                            }
                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
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            {
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        ],
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            "recommended_name": {
                "id": "DOID:5041",
                "name": "esophageal cancer",
                "description": "A gastrointestinal system cancer that is located_in the esophagus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_5041"
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            "synonyms": [
                {
                    "id": "DOID:5041",
                    "name": "Ca lower third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of middle third of oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of abdominal esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
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                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                }
            ]
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        "evidence_source": [
            {
                "id": "33552948",
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                "evidence_list": [
                    {
                        "evidence": "Lower levels of sodium can indicate poorer results of esophageal carcinoma, but higher survival benefits of adjuvant therapy."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Preoperative Serum Sodium Level as a Prognostic and Predictive Biomarker for Adjuvant Therapy in Esophageal Cancer.",
                "journal": "Frontiers in oncology",
                "authors": "Wang Q, Peng L, Han Y, Li T, Dai W, Wang Y, Wu L, Wei Y, Xie T, Fang Q, Li Q, Lang J, Cao B",
                "date": "2021-02-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "33552948",
                        "type": "Pubmed",
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            }
        ],
        "biomarker_canonical_id": "AA4764",
        "collision": 1
    },
    {
        "biomarker_id": "AA4764-2",
        "biomarker_component": [
            {
                "biomarker": "decreased Na+ level",
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                },
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                ],
                "evidence_source": [
                    {
                        "id": "32766546",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32766546",
                        "evidence_list": [
                            {
                                "evidence": "Interestingly, a large proportion of patients had sodium and calcium levels below the reference range on admission (28.7% and 20.6%, respectively). Hong et al. [15] recently reported similar findings, where 50% of COVID-19 patients they examined had hyponatremia and hypokalemia and they suggested there was a correlation with the degree of renal injury in those patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
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            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
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            "synonyms": [
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                    "id": "DOID:0080600",
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                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                {
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                    "name": "COVID19",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
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        "evidence_source": [
            {
                "id": "32766546",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32766546",
                "evidence_list": [
                    {
                        "evidence": "Interestingly, a large proportion of patients had sodium and calcium levels below the reference range on admission (28.7% and 20.6%, respectively). Hong et al. [15] recently reported similar findings, where 50% of COVID-19 patients they examined had hyponatremia and hypokalemia and they suggested there was a correlation with the degree of renal injury in those patients."
                    }
                ],
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                    {
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                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Characteristics, risk factors and outcomes among the first consecutive 1096 patients diagnosed with COVID-19 in Kuwait.",
                "journal": "EClinicalMedicine",
                "authors": "Almazeedi S, Al-Youha S, Jamal MH, Al-Haddad M, Al-Muhaini A, Al-Ghimlas F, Al-Sabah S",
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                "evidence": [],
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                    }
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            }
        ],
        "biomarker_canonical_id": "AA4764",
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    },
    {
        "biomarker_id": "AA4766-1",
        "biomarker_component": [
            {
                "biomarker": "increased Na+ level",
                "assessed_biomarker_entity": {
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                },
                "assessed_biomarker_entity_id": "PCCID:5360545",
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                ],
                "evidence_source": [
                    {
                        "id": "32219933",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32219933",
                        "evidence_list": [
                            {
                                "evidence": "The influx of sodium (Na+ ) ions into a resting cell is regulated by Na+ channels and by Na+/H+ and Na+/Ca2+ exchangers, whereas Na+ ion efflux is mediated by the activity of Na+ /K+ -ATPase to maintain a high transmembrane Na+ ion gradient. Dysfunction of this system leads to changes in the intracellular sodium concentration that promotes cancer metastasis by mediating invasion and migration. Alterations in the Na+ ion concentration may potentially be used as a biomarker for malignant tumor diagnosis and prognosis."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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                ]
            }
        ],
        "best_biomarker_role": [
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        "condition": {
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                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
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        "evidence_source": [
            {
                "id": "32219933",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32219933",
                "evidence_list": [
                    {
                        "evidence": "The influx of sodium (Na+ ) ions into a resting cell is regulated by Na+ channels and by Na+/H+ and Na+/Ca2+ exchangers, whereas Na+ ion efflux is mediated by the activity of Na+ /K+ -ATPase to maintain a high transmembrane Na+ ion gradient. Dysfunction of this system leads to changes in the intracellular sodium concentration that promotes cancer metastasis by mediating invasion and migration. Alterations in the Na+ ion concentration may potentially be used as a biomarker for malignant tumor diagnosis and prognosis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "",
                "journal": "Journal of magnetic resonance imaging : JMRI",
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                "biomarker": "increased Na+ level",
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                    {
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                        "loinc_code": "2947-0"
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                ],
                "evidence_source": [
                    {
                        "id": "18488152",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/18488152",
                        "evidence_list": [
                            {
                                "evidence": "The results of this study showed that Na level were higher in blood and scalp hair samples of hypertensive diabetic (HD) patients and nonhypertensive diabetic (NHD) patients as compared to control subjects of both genders (p < 0.05)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
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        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "18488152",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/18488152",
                "evidence_list": [
                    {
                        "evidence": "The results of this study showed that Na level were higher in blood and scalp hair samples of hypertensive diabetic (HD) patients and nonhypertensive diabetic (NHD) patients as compared to control subjects of both genders (p < 0.05)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Potassium, calcium, magnesium, and sodium levels in biological samples of hypertensive and nonhypertensive diabetes mellitus patients.",
                "journal": "Biological trace element research",
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                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "23688065",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/23688065",
                "evidence_list": [
                    {
                        "evidence": "Macrophage-colony stimulating factor (M-CSF) regulates growth and differentiation of hematopoietic progenitor cells and functionally activates the maturation of macrophages. The M-CSF in breast cancer patients were investigated and compared with control groups. The medians of M-CSF, which was 464.28 pg/ml in its levels similarly to the level of the commonly accepted tumor marker, which is CA 15-3 at 25.00 U/ml in the total group of breast cancer patients were significantly higher when compared to the healthy subjects, which is 298.55 pg/ml (p < 0.001). In other words, the median levels of M-CSF in breast cancer total group were statistically higher than in benign breast tumor patients group (p = 0.0004)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "VEGF, M-CSF and CA 15-3 as a new tumor marker panel in breast malignancies: a multivariate analysis with ROC curve.",
                "journal": "Growth factors (Chur, Switzerland)",
                "authors": "\u0141awicki S, B\u0119dkowska GE, Szmitkowski M",
                "date": "2013-05-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "23688065",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23688065"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4770",
        "collision": 1
    },
    {
        "biomarker_id": "AA4770-2",
        "biomarker_component": [
            {
                "biomarker": "increased CSF1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Macrophage colony-stimulating factor 1",
                    "synonyms": [
                        {
                            "synonym": "CSF-1"
                        },
                        {
                            "synonym": "M-CSF"
                        },
                        {
                            "synonym": "MCSF"
                        },
                        {
                            "synonym": "Lanimostim"
                        },
                        {
                            "synonym": "Proteoglycan macrophage colony-stimulating factor"
                        },
                        {
                            "synonym": "PG-M-CSF"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P09603",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "17106-6"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "17106-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "10.1101/2020.05.31.20118315",
                        "database": "Doi",
                        "url": "https://doi.org/10.1101/2020.05.31.20118315",
                        "evidence_list": [
                            {
                                "evidence": "Three cytokines, M-CSF, IL-8 and SCF, which were clustered into 3 different correlation groups and had relatively small fluctuations during SARS-CoV-2 infection, were selected for the construction of a multiclass classification model. This model discriminated healthy individuals and asymptomatic and nonsevere patients with accuracy of 77.4% but was not successful in classifying severe patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "10.1101/2020.05.31.20118315",
                "database": "Doi",
                "url": "https://doi.org/10.1101/2020.05.31.20118315",
                "evidence_list": [
                    {
                        "evidence": "Three cytokines, M-CSF, IL-8 and SCF, which were clustered into 3 different correlation groups and had relatively small fluctuations during SARS-CoV-2 infection, were selected for the construction of a multiclass classification model. This model discriminated healthy individuals and asymptomatic and nonsevere patients with accuracy of 77.4% but was not successful in classifying severe patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AA4770",
        "collision": 1
    },
    {
        "biomarker_id": "AA4771-1",
        "biomarker_component": [
            {
                "biomarker": "increased KITLG level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Stem cell factor",
                    "synonyms": [
                        {
                            "synonym": "Mast cell growth factor"
                        },
                        {
                            "synonym": "MGF"
                        },
                        {
                            "synonym": "Stem cell factor"
                        },
                        {
                            "synonym": "SCF"
                        },
                        {
                            "synonym": "c-Kit ligand"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21583",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32561706",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32561706",
                        "evidence_list": [
                            {
                                "evidence": "SCF were significantly higher in fatal than severe and/or mild COVID-19 patients. The temporal changes of the identified CCGFs may serve as biomarkers for prognosis of COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32292113",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32292113",
                        "evidence_list": [
                            {
                                "evidence": "Regulatory DCs (regDCs) play an important role in controlling immune homeostasis and can possess an immunosuppressive ability to induce specific immune tolerance and dampen Th2 type inflammation."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32257537",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32257537",
                        "evidence_list": [
                            {
                                "evidence": "Therefore, the fact that the transplantation of MSCs improved the outcome of COVID-2019 patients may be due to regulating inflammatory response and promoting tissue repair and regeneration."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32561706",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32561706",
                "evidence_list": [
                    {
                        "evidence": "SCF were significantly higher in fatal than severe and/or mild COVID-19 patients. The temporal changes of the identified CCGFs may serve as biomarkers for prognosis of COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32292113",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32292113",
                "evidence_list": [
                    {
                        "evidence": "Regulatory DCs (regDCs) play an important role in controlling immune homeostasis and can possess an immunosuppressive ability to induce specific immune tolerance and dampen Th2 type inflammation."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32257537",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32257537",
                "evidence_list": [
                    {
                        "evidence": "Therefore, the fact that the transplantation of MSCs improved the outcome of COVID-2019 patients may be due to regulating inflammatory response and promoting tissue repair and regeneration."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Temporal profiling of plasma cytokines, chemokines and growth factors from mild, severe and fatal COVID-19 patients.",
                "journal": "Signal transduction and targeted therapy",
                "authors": "Xu ZS, Shu T, Kang L, Wu D, Zhou X, Liao BW, Sun XL, Zhou X, Wang YY",
                "date": "2020-06-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "32561706",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32561706"
                    }
                ]
            },
            {
                "title": "Stem Cell-Based Therapy for Coronavirus Disease 2019.",
                "journal": "Stem cells and development",
                "authors": "Zhao RC",
                "date": "2020-04-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "32292113",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32292113"
                    }
                ]
            },
            {
                "title": "Transplantation of ACE2",
                "journal": "Aging and disease",
                "authors": "Leng Z, Zhu R, Hou W, Feng Y, Yang Y, Han Q, Shan G, Meng F, Du D, Wang S, Fan J, Wang W, Deng L, Shi H, Li H, Hu Z, Zhang F, Gao J, Liu H, Li X, Zhao Y, Yin K, He X, Gao Z, Wang Y, Yang B, Jin R, Stambler I, Lim LW, Su H, Moskalev A, Cano A, Chakrabarti S, Min KJ, Ellison-Hughes G, Caruso C, Jin K, Zhao RC",
                "date": "2020-04-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32257537",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32257537"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4771",
        "collision": 1
    },
    {
        "biomarker_id": "AA4772-1",
        "biomarker_component": [
            {
                "biomarker": "increase KITLG level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Stem cell factor",
                    "synonyms": [
                        {
                            "synonym": "Mast cell growth factor"
                        },
                        {
                            "synonym": "MGF"
                        },
                        {
                            "synonym": "Stem cell factor"
                        },
                        {
                            "synonym": "SCF"
                        },
                        {
                            "synonym": "c-Kit ligand"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21583",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31254605",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31254605",
                        "evidence_list": [
                            {
                                "evidence": "Increase in SCF causes a downregulation of certain proteins which induces and activates metastasis in breast cancer patients after surgery. SCF triggers the activation of transcription factors involved in cell proliferation, apoptosis and differentiation, which are frequently associated with tumor progression or metastasis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31254605",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31254605",
                "evidence_list": [
                    {
                        "evidence": "Increase in SCF causes a downregulation of certain proteins which induces and activates metastasis in breast cancer patients after surgery. SCF triggers the activation of transcription factors involved in cell proliferation, apoptosis and differentiation, which are frequently associated with tumor progression or metastasis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Adipose derived stem cells promote tumor metastasis in breast Cancer cells by stem cell factor inhibition of miR20b.",
                "journal": "Cellular signalling",
                "authors": "Xu H, Li W, Luo S, Yuan J, Hao L",
                "date": "2019-06-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "31254605",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31254605"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4772",
        "collision": 1
    },
    {
        "biomarker_id": "AN4078-3",
        "biomarker_component": [
            {
                "biomarker": "increased BIL level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Bilirubin",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PCCID:5280352",
                "assessed_entity_type": "metabolite",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33898-8"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "33898-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32509218",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32509218",
                        "evidence_list": [
                            {
                                "evidence": "This study found that the increased level of serum bilirubin correlates with better prognosis in patients with EOC. In this study, patients with higher preoperative serum TBIL and IBL levels showed prolonged OS and PFS compared with those with lower preoperative TBIL and IBL levels."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
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                    "resource": "Disease Ontology",
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                }
            ]
        },
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            {
                "id": "10.21203/rs.3.rs-29567/v1",
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                "url": "https://doi.org/10.21203/rs.3.rs-29567/v1",
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                        "evidence": "Serum SP-A and SP-D levels were significantly higher in severe cases than in non severe cases. Additionally, SP-A was higher in non-severe cases than in healthy subjects. We propose that serum SP-A and SP-D level might be useful as biomarkers of COVID-19 pneumonia severity."
                    }
                ],
                "tags": [
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                        "tag": "condition"
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                            "synonym": "Neuron-specific enolase"
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                            {
                                "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                    {
                        "id": "16033098",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16033098",
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                            {
                                "evidence": "Tumor marker serum levels were related to histological type and tumor extension, with ProGRP being the most sensitive marker in SCLC, CEA in adenocarcinomas and CYFRA 21-1 in squamous tumors. The most sensitive combinations of tumor markers were ProGRP and NSE in SCLC (88%), and CEA plus CYFRA in NSCLC (82%). In summary, ProGRP is the tumor marker of choice in SCLC and NSE is a complementary tumor marker in this histological type."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
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                    {
                        "id": "32504736",
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                            {
                                "evidence": "Tumor biomarkers, such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCCA) and Pro-Gastrin Releasing Peptide (ProGRP), were elevated."
                            }
                        ],
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                                "tag": "biomarker"
                            },
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                                "evidence": "Alteration of serum tumor markers cytokeratin 19 fragment, carcinoembryonic antigen and neuron-specific enolase is associated with particular tumor histology, smoking habit, more advanced disease and poor prognosis. The number of patients with elevated levels of cytokeratin 19 fragment and neuron-specific enolase was higher in more advanced disease than in early lung cancer (p=0.036 and p=0.036, respectively). Preoperative levels of cytokeratin 19 fragment (p=0.017 and p=0.016, respectively) and neuron-specific enolase (p=0.03 and p=0.006, respectively) were significantly associated with more advanced disease and tumor size, as well as tumor histology in non-small cell lung cancer (p=0.03 and p=0.016, respectively)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
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                        "id": "30994045",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30994045",
                        "evidence_list": [
                            {
                                "evidence": "Our results confirm that patients with lung cancer have increased serum levels of CEA, CYFRA 21-1, ProGRP, and NSE compared to patients with benign disease. Moreover, we found a strong association among the SCLC patients and high levels of ProGRP and NSE."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
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            {
                "id": "32347972",
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                "evidence_list": [
                    {
                        "evidence": "This is the first report with such a substantial evaluation of cancer biomarkers on a large patient population of COVID-19. Our data demonstrate that levels of serum HE4, CYFRA21-1, CEA, CA125, CA153, SCC, and NSE are positively associated with CRP, a crucial factor in correlation with the severity of the disease. We concluded that elevations of serum cancer biomarkers positively correlated with the pathological progressions of COVID-19, demonstrating diffuse and acute pathophysiological injuries in COVID-19."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "16033098",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16033098",
                "evidence_list": [
                    {
                        "evidence": "Tumor marker serum levels were related to histological type and tumor extension, with ProGRP being the most sensitive marker in SCLC, CEA in adenocarcinomas and CYFRA 21-1 in squamous tumors. The most sensitive combinations of tumor markers were ProGRP and NSE in SCLC (88%), and CEA plus CYFRA in NSCLC (82%). In summary, ProGRP is the tumor marker of choice in SCLC and NSE is a complementary tumor marker in this histological type."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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            },
            {
                "id": "32504736",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                "evidence_list": [
                    {
                        "evidence": "Tumor biomarkers, such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCCA) and Pro-Gastrin Releasing Peptide (ProGRP), were elevated."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "16062024",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16062024",
                "evidence_list": [
                    {
                        "evidence": "Alteration of serum tumor markers cytokeratin 19 fragment, carcinoembryonic antigen and neuron-specific enolase is associated with particular tumor histology, smoking habit, more advanced disease and poor prognosis. The number of patients with elevated levels of cytokeratin 19 fragment and neuron-specific enolase was higher in more advanced disease than in early lung cancer (p=0.036 and p=0.036, respectively). Preoperative levels of cytokeratin 19 fragment (p=0.017 and p=0.016, respectively) and neuron-specific enolase (p=0.03 and p=0.006, respectively) were significantly associated with more advanced disease and tumor size, as well as tumor histology in non-small cell lung cancer (p=0.03 and p=0.016, respectively)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "30994045",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30994045",
                "evidence_list": [
                    {
                        "evidence": "Our results confirm that patients with lung cancer have increased serum levels of CEA, CYFRA 21-1, ProGRP, and NSE compared to patients with benign disease. Moreover, we found a strong association among the SCLC patients and high levels of ProGRP and NSE."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
                "journal": "Journal of medical virology",
                "authors": "Wei X, Su J, Yang K, Wei J, Wan H, Cao X, Tan W, Wang H",
                "date": "2020-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32347972",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32347972"
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                ]
            },
            {
                "title": "Pro-gastrin-releasing peptide (proGRP) in patients with benign and malignant diseases: comparison with CEA, SCC, CYFRA 21-1 and NSE in patients with lung cancer.",
                "journal": "Anticancer research",
                "authors": "Molina R, Auge JM, Filella X, Vi\u00f1olas N, Alicarte J, Domingo JM, Ballesta AM",
                "date": "2005-07-22",
                "evidence": [],
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                ]
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            {
                "title": "Tumor biomarkers predict clinical outcome of COVID-19 patients.",
                "journal": "The Journal of infection",
                "authors": "He B, Zhong A, Wu Q, Liu X, Lin J, Chen C, He Y, Guo Y, Zhang M, Zhu P, Wu J, Wang C, Wang S, Xia X",
                "date": "2020-06-07",
                "evidence": [],
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                        "id": "32504736",
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            {
                "title": "[Clinical and prognostic significance of tumor markers cytokeratin 19 fragment, carcinoembryonic antigen, and neuron-specific enolase in lung cancer].",
                "journal": "Medicina (Kaunas, Lithuania)",
                "authors": "Zemaitis M, Sakalauskas R, Malakauskas K, Muley T, Fischer JR, Lahm H",
                "date": "2005-08-03",
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                ]
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            {
                "title": "New and old biomarkers in the differential diagnosis of lung cancer: Pro-gastrin-releasing peptide in comparison with neuron-specific enolase, carcinoembryonic antigen, and CYFRA 21-1.",
                "journal": "The International journal of biological markers",
                "authors": "Mauro C, Passerini R, Spaggiari L, Galetta D, Radice D, Lentati P, Sandri MT",
                "date": "2019-04-18",
                "evidence": [],
                "reference": [
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                        "id": "30994045",
                        "type": "Pubmed",
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                            "synonym": "Neural enolase"
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                            "synonym": "Neuron-specific enolase"
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                            {
                                "evidence": "In short, we concluded that the concentrations of tumor biomarkers of CEA, CYFRA21-1, NSE, SCCA, ProGRP were elevated in COVID-19 patients, and that CEA, CYFRA21-1, SCCA could predicte the clinical outcome of COVID-19 patients."
                            }
                        ],
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
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                },
                {
                    "id": "DOID:0080600",
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                },
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                        "evidence": "In short, we concluded that the concentrations of tumor biomarkers of CEA, CYFRA21-1, NSE, SCCA, ProGRP were elevated in COVID-19 patients, and that CEA, CYFRA21-1, SCCA could predicte the clinical outcome of COVID-19 patients."
                    }
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        "citation": [
            {
                "title": "Tumor biomarkers predict clinical outcome of COVID-19 patients.",
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            {
                "title": "Elevations of serum cancer biomarkers correlate with severity of COVID-19.",
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                    "recommended_name": "Progastrin releasing peptide",
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                },
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                    {
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                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                    },
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                    }
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                        "database": "Pubmed",
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                            {
                                "evidence": "Tumor marker serum levels were related to histological type and tumor extension, with ProGRP being the most sensitive marker in SCLC. The most sensitive combinations of tumor markers were ProGRP and NSE in SCLC (88%), and CEA plus CYFRA in NSCLC (82%). In summary, ProGRP is the tumor marker of choice in SCLC and NSE is a complementary tumor marker in this histological type."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    {
                        "id": "32504736",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                        "evidence_list": [
                            {
                                "evidence": "Tumor biomarkers, such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCCA) and Pro-Gastrin Releasing Peptide (ProGRP), were elevated in cases than those in controls (pall<0.01."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                    {
                        "id": "27747005",
                        "database": "Pubmed",
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                        "evidence_list": [
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                                "evidence": "Plasma proGRP level could be a useful diagnostic and therapeutic monitoring biomarker for patients with SCLC and the initial level may help with SCLC tumor staging. At cutoff level of 63 pg/mL, proGRP shows 85.7% sensitivity, 90.2% specificity, 72.5% positive predictive value and 95.4% negative predictive value in patients with SCLC. Median proGRP level was higher in extensive disease (1,055.2 pg/mL) than limited disease (253.8 pg/mL, P=0.005). Median OS was significantly shorter in patients with extensive disease (6.0\u00b10.7 months) than limited disease (12.7\u00b14.5 months, P<0.01)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
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                "role": "prognostic"
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            {
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
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                "id": "16033098",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16033098",
                "evidence_list": [
                    {
                        "evidence": "Tumor marker serum levels were related to histological type and tumor extension, with ProGRP being the most sensitive marker in SCLC. The most sensitive combinations of tumor markers were ProGRP and NSE in SCLC (88%), and CEA plus CYFRA in NSCLC (82%). In summary, ProGRP is the tumor marker of choice in SCLC and NSE is a complementary tumor marker in this histological type."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32504736",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                "evidence_list": [
                    {
                        "evidence": "Tumor biomarkers, such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCCA) and Pro-Gastrin Releasing Peptide (ProGRP), were elevated in cases than those in controls (pall<0.01."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "27747005",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27747005",
                "evidence_list": [
                    {
                        "evidence": "Plasma proGRP level could be a useful diagnostic and therapeutic monitoring biomarker for patients with SCLC and the initial level may help with SCLC tumor staging. At cutoff level of 63 pg/mL, proGRP shows 85.7% sensitivity, 90.2% specificity, 72.5% positive predictive value and 95.4% negative predictive value in patients with SCLC. Median proGRP level was higher in extensive disease (1,055.2 pg/mL) than limited disease (253.8 pg/mL, P=0.005). Median OS was significantly shorter in patients with extensive disease (6.0\u00b10.7 months) than limited disease (12.7\u00b14.5 months, P<0.01)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Pro-gastrin-releasing peptide (proGRP) in patients with benign and malignant diseases: comparison with CEA, SCC, CYFRA 21-1 and NSE in patients with lung cancer.",
                "journal": "Anticancer research",
                "authors": "Molina R, Auge JM, Filella X, Vi\u00f1olas N, Alicarte J, Domingo JM, Ballesta AM",
                "date": "2005-07-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "16033098",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16033098"
                    }
                ]
            },
            {
                "title": "Tumor biomarkers predict clinical outcome of COVID-19 patients.",
                "journal": "The Journal of infection",
                "authors": "He B, Zhong A, Wu Q, Liu X, Lin J, Chen C, He Y, Guo Y, Zhang M, Zhu P, Wu J, Wang C, Wang S, Xia X",
                "date": "2020-06-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "32504736",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32504736"
                    }
                ]
            },
            {
                "title": "Progastrin-releasing peptide as a diagnostic and therapeutic biomarker of small cell lung cancer.",
                "journal": "Journal of thoracic disease",
                "authors": "Oh HJ, Park HY, Kim KH, Park CK, Shin HJ, Lim JH, Kwon YS, Oh IJ, Kim YI, Lim SC, Kim YC, Kim SH, Shin MG",
                "date": "2016-10-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "27747005",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27747005"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4776",
        "collision": 1
    },
    {
        "biomarker_id": "AA4776-2",
        "biomarker_component": [
            {
                "biomarker": "increased PROGRP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Progastrin releasing peptide",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PRO:PR_000050383",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32504736",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                        "evidence_list": [
                            {
                                "evidence": "In short, we concluded that the concentrations of tumor biomarkers of CEA, CYFRA21-1, NSE, SCCA, ProGRP were elevated in COVID-19 patients, and that CEA, CYFRA21-1, SCCA could predicte the clinical outcome of COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32504736",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32504736",
                "evidence_list": [
                    {
                        "evidence": "In short, we concluded that the concentrations of tumor biomarkers of CEA, CYFRA21-1, NSE, SCCA, ProGRP were elevated in COVID-19 patients, and that CEA, CYFRA21-1, SCCA could predicte the clinical outcome of COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Tumor biomarkers predict clinical outcome of COVID-19 patients.",
                "journal": "The Journal of infection",
                "authors": "He B, Zhong A, Wu Q, Liu X, Lin J, Chen C, He Y, Guo Y, Zhang M, Zhu P, Wu J, Wang C, Wang S, Xia X",
                "date": "2020-06-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "32504736",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32504736"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4776",
        "collision": 1
    },
    {
        "biomarker_id": "AA4777-1",
        "biomarker_component": [
            {
                "biomarker": "decreased SaO2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oxygen saturation",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C60832",
                "assessed_entity_type": "chemical element",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "2713-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32471703",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                        "evidence_list": [
                            {
                                "evidence": "Oxygen saturation (SaO2) was found as another candidate marker of progressive severity. The fact that it was so tightly associated to hospitalization or even death in our model is unsurprising, because a low SaO2 is one of the main criteria for the definition of a severe case."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32471703",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32471703",
                "evidence_list": [
                    {
                        "evidence": "Oxygen saturation (SaO2) was found as another candidate marker of progressive severity. The fact that it was so tightly associated to hospitalization or even death in our model is unsurprising, because a low SaO2 is one of the main criteria for the definition of a severe case."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room.",
                "journal": "Archives of medical research",
                "authors": "Assandri R, Buscarini E, Canetta C, Scartabellati A, Vigan\u00f2 G, Montanelli A",
                "date": "2020-05-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "32471703",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32471703"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4777",
        "collision": 1
    },
    {
        "biomarker_id": "AN4455-1",
        "biomarker_component": [
            {
                "biomarker": "increased FAR ratio",
                "assessed_biomarker_entity": {
                    "recommended_name": "Fibrinogen to Albumin ratio",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PDB:3GHG",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "28529615",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28529615",
                        "evidence_list": [
                            {
                                "evidence": "In our study, higher FAR was thought to be associated with a number of important clinicopathological parameters shown to be predictive of worse outcomes. Moreover, higher FAR was also associated with poor survival in ESCC patients, which indicated that elevated FAR might be associated with aggressive burden and systemic progression of ESCC."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
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                        ]
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                ]
            },
            {
                "biomarker": "increased FAR ratio",
                "assessed_biomarker_entity": {
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                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02768",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
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                "evidence_source": [
                    {
                        "id": "28529615",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "In our study, higher FAR was thought to be associated with a number of important clinicopathological parameters shown to be predictive of worse outcomes. Moreover, higher FAR was also associated with poor survival in ESCC patients, which indicated that elevated FAR might be associated with aggressive burden and systemic progression of ESCC."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:5041",
            "recommended_name": {
                "id": "DOID:5041",
                "name": "esophageal cancer",
                "description": "A gastrointestinal system cancer that is located_in the esophagus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_5041"
            },
            "synonyms": [
                {
                    "id": "DOID:5041",
                    "name": "Ca lower third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of middle third of oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of abdominal esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "28529615",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28529615",
                "evidence_list": [
                    {
                        "evidence": "In our study, higher FAR was thought to be associated with a number of important clinicopathological parameters shown to be predictive of worse outcomes. Moreover, higher FAR was also associated with poor survival in ESCC patients, which indicated that elevated FAR might be associated with aggressive burden and systemic progression of ESCC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A novel blood tool of cancer prognosis in esophageal squamous cell carcinoma: the Fibrinogen/Albumin Ratio.",
                "journal": "Journal of Cancer",
                "authors": "Tan Z, Zhang M, Han Q, Wen J, Luo K, Lin P, Zhang L, Yang H, Fu J",
                "date": "2017-05-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "28529615",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28529615"
                    }
                ]
            },
            {
                "title": "A novel blood tool of cancer prognosis in esophageal squamous cell carcinoma: the Fibrinogen/Albumin Ratio.",
                "journal": "Journal of Cancer",
                "authors": "Tan Z, Zhang M, Han Q, Wen J, Luo K, Lin P, Zhang L, Yang H, Fu J",
                "date": "2017-05-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "28529615",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28529615"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4455",
        "collision": 0
    },
    {
        "biomarker_id": "AN4455-2",
        "biomarker_component": [
            {
                "biomarker": "increased FAR ratio",
                "assessed_biomarker_entity": {
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                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "PDB:3GHG",
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                "specimen": [
                    {
                        "name": "blood",
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                ],
                "evidence_source": [
                    {
                        "id": "32279124",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124",
                        "evidence_list": [
                            {
                                "evidence": "Patients with CAR (C-reactive protein/albumin ratios) were predictors for overall survival (OS). Different analysis showed that patients with postoperative complications, preoperative NLR, and postoperative CAR, were more subject to recurrence-free survival (RFS). It showed that patients who did not receive chemotherapy with CAR >/= 0.035 had a shorter RFS and OS than those who did receive chemo. The postoperative CAR is strongly associated with a poor prognosis in patients with stage III colorectal cancer. It is more readily available than other proposed prognostic scores based on inflammation markers."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
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                ]
            },
            {
                "biomarker": "increased FAR ratio",
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                },
                "assessed_biomarker_entity_id": "UPKB:P02768",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
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                ],
                "evidence_source": [
                    {
                        "id": "32279124",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124",
                        "evidence_list": [
                            {
                                "evidence": "Patients with CAR (C-reactive protein/albumin ratios) were predictors for overall survival (OS). Different analysis showed that patients with postoperative complications, preoperative NLR, and postoperative CAR, were more subject to recurrence-free survival (RFS). It showed that patients who did not receive chemotherapy with CAR >/= 0.035 had a shorter RFS and OS than those who did receive chemo. The postoperative CAR is strongly associated with a poor prognosis in patients with stage III colorectal cancer. It is more readily available than other proposed prognostic scores based on inflammation markers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
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                                "tag": "assessed_biomarker_entity"
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            {
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                        "evidence": "mCD169 could predict SARS-CoV-2 infection at hospital admission during the outbreak. This biomarker could be relevant for triage and rapid therapeutic decision in patients suspected of acute viral infections since mCD169 can be overexpressed in other infections responsible of outbreaks such as influenza or dengue fever."
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                ],
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                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Monocyte CD169 Expression as a Biomarker in the Early Diagnosis of Coronavirus Disease 2019.",
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                        "evidence": "Quantitative analysis revealed that the percentages of circulating CD14+CD169+ monocytes from the patients were significantly higher than from HC (18.21% vs. 1.42%, P<0.0001; Fig 1C). Hence, significantly increased percentages of circulating CD14+CD169+ monocytes existed in CRC patients."
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                "title": "A Higher Frequency of CD14+ CD169+ Monocytes/Macrophages in Patients with Colorectal Cancer.",
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                        "evidence": "We also show that critical illness is associated with further elevations in VWF, as well as increases in soluble P-selectin and sCD40L when compared with controls. Together, these results provide biochemical evidence that endotheliopathy and platelet activation are ubiquitous in COVID-19-associated coagulopathy and might play key roles in the progression of disease."
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                "title": "Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study.",
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                                "evidence": "The VWF: Ag levels were higher in patients with severe liver fibrosis stage and/or HCC development than in those without. The area under the curve of VWF: Ag for diagnosis of severe liver fibrosis stage was 0.721. Multivariable analysis showed that only VWF: Ag was a predictive biomarker for HCC development."
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                "title": "Platelet and Vascular Biomarkers Associate With Thrombosis and Death in Coronavirus Disease.",
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                "title": "Soluble CD40 ligand plasma levels in lung cancer.",
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                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                }
            ]
        },
        "evidence_source": [
            {
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                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/11570577",
                "evidence_list": [
                    {
                        "evidence": "The preoperative plasma TM level of patients with HCC (10.2+/-5.7 ng/ml) was significantly higher than that of those patients with benign liver-occupying lesion (6.1+/-2.2 ng/ml) and that of normal controls (5.7+/-1.0 ng/ml), respectively (P<0.05). Plasma TM increases in patients with HCC and can be a biomarker of the formation of PVTT."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The potential of plasma thrombomodulin as a biomarker of portal vein tumor thrombus in hepatocellular carcinoma.",
                "journal": "Journal of cancer research and clinical oncology",
                "authors": "Zhou J, Tang ZY, Fan J, Wu ZQ, Ji Y, Ye SL",
                "date": "2001-09-26",
                "evidence": [],
                "reference": [
                    {
                        "id": "11570577",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/11570577"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4791",
        "collision": 1
    },
    {
        "biomarker_id": "AN4097-1",
        "biomarker_component": [
            {
                "biomarker": "decreased THBD level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Thrombomodulin",
                    "synonyms": [
                        {
                            "synonym": "TM"
                        },
                        {
                            "synonym": "Fetomodulin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07204",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23918310",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23918310",
                        "evidence_list": [
                            {
                                "evidence": "The migratory ability of ovarian cancer cells was enhanced dramatically after TM silencing. TM overexpression in ovarian cells suppressed the proliferation and migration capability. Furthermore, we found that skov-3 cells treated with TM shRNA expressed high levels of fibronectin and vimentin and that the expression of these markers correlated positively with their migratory ability. Our results demonstrate that TM expression may regulate cell growth and migration in ovarian cancer cells. This finding suggests that TM may be a novel prognostic and therapeutic target for ovarian cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
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        "evidence_source": [
            {
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                    {
                        "evidence": "The migratory ability of ovarian cancer cells was enhanced dramatically after TM silencing. TM overexpression in ovarian cells suppressed the proliferation and migration capability. Furthermore, we found that skov-3 cells treated with TM shRNA expressed high levels of fibronectin and vimentin and that the expression of these markers correlated positively with their migratory ability. Our results demonstrate that TM expression may regulate cell growth and migration in ovarian cancer cells. This finding suggests that TM may be a novel prognostic and therapeutic target for ovarian cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Thrombomodulin mediates the progression of epithelial ovarian cancer cells.",
                "journal": "Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine",
                "authors": "Chen LM, Wang W, Lee JC, Chiu FH, Wu CT, Tai CJ, Wang CK, Tai CJ, Huang MT, Chang YJ",
                "date": "2013-08-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "23918310",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23918310"
                    }
                ]
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        ],
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        "collision": 1
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    {
        "biomarker_id": "AA4791-2",
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                "biomarker": "increased THBD level",
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                            "synonym": "TM"
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                            "synonym": "Fetomodulin"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07204",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
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                        "url": "https://pubmed.ncbi.nlm.nih.gov/32619411",
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                                "evidence": "In all patients, soluble thrombomodulin concentrations greater than 3.26 ng/mL were associated with lower rates of hospital discharge (22 [88%] of 25 patients with low concentrations vs 13 [52%] of 25 patients with high concentrations; p=0.0050) and lower likelihood of survival on Kaplan-Meier analysis (hazard ratio 5.9, 95% CI 1.9-18.4; p=0.0087)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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        ],
        "best_biomarker_role": [
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
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                {
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                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32619411",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32619411",
                "evidence_list": [
                    {
                        "evidence": "In all patients, soluble thrombomodulin concentrations greater than 3.26 ng/mL were associated with lower rates of hospital discharge (22 [88%] of 25 patients with low concentrations vs 13 [52%] of 25 patients with high concentrations; p=0.0050) and lower likelihood of survival on Kaplan-Meier analysis (hazard ratio 5.9, 95% CI 1.9-18.4; p=0.0087)."
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                    {
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        "citation": [
            {
                "title": "Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study.",
                "journal": "The Lancet. Haematology",
                "authors": "Goshua G, Pine AB, Meizlish ML, Chang CH, Zhang H, Bahel P, Baluha A, Bar N, Bona RD, Burns AJ, Dela Cruz CS, Dumont A, Halene S, Hwa J, Koff J, Menninger H, Neparidze N, Price C, Siner JM, Tormey C, Rinder HM, Chun HJ, Lee AI",
                "date": "2020-07-04",
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                    {
                        "id": "32619411",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32619411"
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        "biomarker_canonical_id": "AA4791",
        "collision": 1
    },
    {
        "biomarker_id": "AA4793-1",
        "biomarker_component": [
            {
                "biomarker": "increased EDN1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Endothelin-1",
                    "synonyms": [
                        {
                            "synonym": "Preproendothelin-1"
                        },
                        {
                            "synonym": "PPET1"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05305",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "26537720",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26537720",
                        "evidence_list": [
                            {
                                "evidence": "Serum big ET-1 levels may be useful as a diagnostic tool in OSCC and as an adjunct to OSCC staging. By comparing the mean of the big ET-1 concentrations of cases and controls, the independent t-test revealed significant higher big ET-1 concentration of OSCC cases when compared to controls (p<0.0001)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        ],
        "condition": {
            "id": "DOID:11934",
            "recommended_name": {
                "id": "DOID:11934",
                "name": "head and neck cancer",
                "description": "An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11934"
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            "synonyms": [
                {
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                    "name": "head and neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head/neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head and neck tumours",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "tumor of head and neck",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
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                        "evidence": "Serum big ET-1 levels may be useful as a diagnostic tool in OSCC and as an adjunct to OSCC staging. By comparing the mean of the big ET-1 concentrations of cases and controls, the independent t-test revealed significant higher big ET-1 concentration of OSCC cases when compared to controls (p<0.0001)."
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                ],
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        "citation": [
            {
                "title": "Serum big endothelin-1 as a biomarker in oral squamous cell carcinoma patients: an analytical study.",
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                "authors": "Mankapure PK, Barpande SR, Bhavthankar JD, Mandale M",
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                "specimen": [
                    {
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                    {
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                        "name_space": "Uberon",
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                    "resource": "Disease Ontology",
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                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
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                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
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                {
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                    "resource": "Disease Ontology",
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                    {
                        "evidence": "We propose that elevated circulating ET-1 levels might also serve as a prominent biomarker and prognostic tool to identify individuals with the greatest risks of severe COVID-19."
                    }
                ],
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
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                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
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            ]
        },
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                "evidence_list": [
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                        "evidence": "Baseline cfDNA concentration correlated with pre-treatment tumour burden (p = 0.52, P < 0.001). Baseline cfDNA levels correlated significantly with hazard of death and overall survival, and a cut off value of 89 pg/ul identified two distinct prognostic groups (HR = 2.22 for high cfDNA, P = 0.004). Patients with cfDNA 89 pg/ul had shorter OS (10.0 versus 22.7 months, P = 0.009; HR = 2.22 for high cfDNA, P = 0.004) In addition, the ratio between baseline cfDNA and tumour burden was prognostic (HR = 2.7 for cfDNA/tumour volume 8 pg/(l*cm3), P = 0.024). Plasma cfDNA level correlates to tumour volume and is a surrogate biomarker for tumour burden and a prognostic marker for survival in metastatic melanoma patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Plasma total cell-free DNA (cfDNA) is a surrogate biomarker for tumour burden and a prognostic biomarker for survival in metastatic melanoma patients.",
                "journal": "European journal of cancer (Oxford, England : 1990)",
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                "title": "Periodontal disease and targeted prevention using aMMP-8 point-of-care oral fluid analytics in the COVID-19 era.",
                "journal": "Medical hypotheses",
                "authors": "R\u00e4is\u00e4nen IT, Umeizudike KA, P\u00e4rn\u00e4nen P, Heikkil\u00e4 P, Tervahartiala T, Nwhator SO, Grigoriadis A, Sakellari D, Sorsa T",
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                    {
                        "id": "33254580",
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            {
                "biomarker": "increased MMP8 level",
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                        {
                            "synonym": "Matrix metalloproteinase-8"
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                        {
                            "synonym": "PMNL collagenase"
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                            "synonym": "PMNL-CL"
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                "title": "High-serum MMP-8 levels are associated with decreased survival and systemic inflammation in colorectal cancer.",
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                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
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                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "GAL3 could be a good prognostic marker for severe COVID-19 and that elevated plasma levels of GAL3 can participate in triggering the cytokine storm observed in severe COVID-19 patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
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                "id": "DOID:0080600",
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                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32973815",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32973815",
                "evidence_list": [
                    {
                        "evidence": "GAL3 could be a good prognostic marker for severe COVID-19 and that elevated plasma levels of GAL3 can participate in triggering the cytokine storm observed in severe COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Hyperinflammation and Fibrosis in Severe COVID-19 Patients: Galectin-3, a Target Molecule to Consider.",
                "journal": "Frontiers in immunology",
                "authors": "Garcia-Revilla J, Deierborg T, Venero JL, Boza-Serrano A",
                "date": "2020-09-26",
                "evidence": [],
                "reference": [
                    {
                        "id": "32973815",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32973815"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4801",
        "collision": 1
    },
    {
        "biomarker_id": "AA4801-2",
        "biomarker_component": [
            {
                "biomarker": "increased LGALS3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Galectin-3",
                    "synonyms": [
                        {
                            "synonym": "Gal-3"
                        },
                        {
                            "synonym": "35 kDa lectin"
                        },
                        {
                            "synonym": "Carbohydrate-binding protein 35"
                        },
                        {
                            "synonym": "CBP 35"
                        },
                        {
                            "synonym": "Galactose-specific lectin 3"
                        },
                        {
                            "synonym": "Galactoside-binding protein"
                        },
                        {
                            "synonym": "GALBP"
                        },
                        {
                            "synonym": "IgE-binding protein"
                        },
                        {
                            "synonym": "L-31"
                        },
                        {
                            "synonym": "Laminin-binding protein"
                        },
                        {
                            "synonym": "Lectin L-29"
                        },
                        {
                            "synonym": "Mac-2 antigen"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17931",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "28085015",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28085015",
                        "evidence_list": [
                            {
                                "evidence": "High expression of tumoral gal-3 was associated with tumor size, poor differentiation and negatively related to low E-cadherin expression. Multivariate analysis revealed that tumoral gal-3 expression was the only independent predictor of both tumor recurrence and overall survival after resection."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "28085015",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28085015",
                "evidence_list": [
                    {
                        "evidence": "High expression of tumoral gal-3 was associated with tumor size, poor differentiation and negatively related to low E-cadherin expression. Multivariate analysis revealed that tumoral gal-3 expression was the only independent predictor of both tumor recurrence and overall survival after resection."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Over expression of galectin-3 associates with short-term poor prognosis in stage II colon cancer.",
                "journal": "Cancer biomarkers : section A of Disease markers",
                "authors": "Huang Z, Ai Z, Li N, Xi H, Gao X, Wang F, Tan X, Liu H",
                "date": "2017-01-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "28085015",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28085015"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4801",
        "collision": 1
    },
    {
        "biomarker_id": "AA4801-3",
        "biomarker_component": [
            {
                "biomarker": "increased LGALS3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Galectin-3",
                    "synonyms": [
                        {
                            "synonym": "Gal-3"
                        },
                        {
                            "synonym": "35 kDa lectin"
                        },
                        {
                            "synonym": "Carbohydrate-binding protein 35"
                        },
                        {
                            "synonym": "CBP 35"
                        },
                        {
                            "synonym": "Galactose-specific lectin 3"
                        },
                        {
                            "synonym": "Galactoside-binding protein"
                        },
                        {
                            "synonym": "GALBP"
                        },
                        {
                            "synonym": "IgE-binding protein"
                        },
                        {
                            "synonym": "L-31"
                        },
                        {
                            "synonym": "Laminin-binding protein"
                        },
                        {
                            "synonym": "Lectin L-29"
                        },
                        {
                            "synonym": "Mac-2 antigen"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17931",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "25501605",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25501605",
                        "evidence_list": [
                            {
                                "evidence": "Gal-3 is a promising biomarker for detecting prediabetes and diabetes. Sixty-one patients had prediabetes (Group 1), 57 had diabetes (Group 2), and 56 had neither diabetes nor prediabetes (Group 3) Gal-3 levels were higher in Group 2 than in Groups 1 and 3. [1,053.9 (358.1) and 744.1 (119.3) vs. 481.7 (175.4) pg/mL; P < 0.001."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "25501605",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25501605",
                "evidence_list": [
                    {
                        "evidence": "Gal-3 is a promising biomarker for detecting prediabetes and diabetes. Sixty-one patients had prediabetes (Group 1), 57 had diabetes (Group 2), and 56 had neither diabetes nor prediabetes (Group 3) Gal-3 levels were higher in Group 2 than in Groups 1 and 3. [1,053.9 (358.1) and 744.1 (119.3) vs. 481.7 (175.4) pg/mL; P < 0.001."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Increased levels of galectin-3 were associated with prediabetes and diabetes: new risk factor?",
                "journal": "Journal of endocrinological investigation",
                "authors": "Yilmaz H, Cakmak M, Inan O, Darcin T, Akcay A",
                "date": "2014-12-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "25501605",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25501605"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4801",
        "collision": 1
    },
    {
        "biomarker_id": "AA4802-1",
        "biomarker_component": [
            {
                "biomarker": "increased S100A9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Protein S100A9",
                    "synonyms": [
                        {
                            "synonym": "Calgranulin-B"
                        },
                        {
                            "synonym": "Calprotectin L1H subunit"
                        },
                        {
                            "synonym": "Leukocyte L1 complex heavy chain"
                        },
                        {
                            "synonym": "Migration inhibitory factor-related protein 14"
                        },
                        {
                            "synonym": "MRP-14"
                        },
                        {
                            "synonym": "p14"
                        },
                        {
                            "synonym": "S100 calcium-binding protein A9"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06702",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32989935",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32989935",
                        "evidence_list": [
                            {
                                "evidence": "Among the most highly increased inflammatory mediators in severe/critically ill patients, S100A9, an alarmin and TLR4 ligand, was found as a noteworthy biomarker, because it inversely correlated with the serum albumin levels."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
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                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32989935",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32989935",
                "evidence_list": [
                    {
                        "evidence": "Among the most highly increased inflammatory mediators in severe/critically ill patients, S100A9, an alarmin and TLR4 ligand, was found as a noteworthy biomarker, because it inversely correlated with the serum albumin levels."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "COVID-19 Patients Upregulate Toll-like Receptor 4-mediated Inflammatory Signaling That Mimics Bacterial Sepsis.",
                "journal": "Journal of Korean medical science",
                "authors": "Sohn KM, Lee SG, Kim HJ, Cheon S, Jeong H, Lee J, Kim IS, Silwal P, Kim YJ, Paik S, Chung C, Park C, Kim YS, Jo EK",
                "date": "2020-09-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "32989935",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32989935"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4802",
        "collision": 1
    },
    {
        "biomarker_id": "AA4802-2",
        "biomarker_component": [
            {
                "biomarker": "increased S100A9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Protein S100A9",
                    "synonyms": [
                        {
                            "synonym": "Calgranulin-B"
                        },
                        {
                            "synonym": "Calprotectin L1H subunit"
                        },
                        {
                            "synonym": "Leukocyte L1 complex heavy chain"
                        },
                        {
                            "synonym": "Migration inhibitory factor-related protein 14"
                        },
                        {
                            "synonym": "MRP-14"
                        },
                        {
                            "synonym": "p14"
                        },
                        {
                            "synonym": "S100 calcium-binding protein A9"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06702",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "25673070",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25673070",
                        "evidence_list": [
                            {
                                "evidence": "Serum and mRNA expression levels of S100A8 and S100A9 were found to be upregulated in patients with RCC. The overexpression of S100A8 and S100A9 in cancer cells was also confirmed by immunohistochemistry."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "25673070",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25673070",
                "evidence_list": [
                    {
                        "evidence": "Serum and mRNA expression levels of S100A8 and S100A9 were found to be upregulated in patients with RCC. The overexpression of S100A8 and S100A9 in cancer cells was also confirmed by immunohistochemistry."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: results from a proteomic study integrated with bioinformatics analysis.",
                "journal": "Molecular medicine reports",
                "authors": "Zhang L, Jiang H, Xu G, Wen H, Gu B, Liu J, Mao S, Na R, Jing Y, Ding Q, Zhang Y",
                "date": "2015-02-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "25673070",
                        "type": "Pubmed",
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                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4802",
        "collision": 1
    },
    {
        "biomarker_id": "AA4802-3",
        "biomarker_component": [
            {
                "biomarker": "Increased S100A9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Protein S100A9",
                    "synonyms": [
                        {
                            "synonym": "Calgranulin-B"
                        },
                        {
                            "synonym": "Calprotectin L1H subunit"
                        },
                        {
                            "synonym": "Leukocyte L1 complex heavy chain"
                        },
                        {
                            "synonym": "Migration inhibitory factor-related protein 14"
                        },
                        {
                            "synonym": "MRP-14"
                        },
                        {
                            "synonym": "p14"
                        },
                        {
                            "synonym": "S100 calcium-binding protein A9"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06702",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31262951",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31262951",
                        "evidence_list": [
                            {
                                "evidence": "S100A9 and Galectin-3 are overexpressed in PCDM tumors and mediate insulin resistance. Galectin-3 and S100A9 distinguish PCDM from type 2 diabetes in subjects with new-onset diabetes."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
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                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "33043447",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/33043447",
                "evidence_list": [
                    {
                        "evidence": "De Ritis ratio on admission was significantly associated with in-hospital mortality in COVID-19 patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The De Ritis ratio as prognostic biomarker of in-hospital mortality in COVID-19 patients.",
                "journal": "European journal of clinical investigation",
                "authors": "Zinellu A, Arru F, De Vito A, Sassu A, Valdes G, Scano V, Zinellu E, Perra R, Madeddu G, Carru C, Pirina P, Mangoni AA, Babudieri S, Fois AG",
                "date": "2020-10-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "33043447",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33043447"
                    }
                ]
            },
            {
                "title": "The De Ritis ratio as prognostic biomarker of in-hospital mortality in COVID-19 patients.",
                "journal": "European journal of clinical investigation",
                "authors": "Zinellu A, Arru F, De Vito A, Sassu A, Valdes G, Scano V, Zinellu E, Perra R, Madeddu G, Carru C, Pirina P, Mangoni AA, Babudieri S, Fois AG",
                "date": "2020-10-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "33043447",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33043447"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4458",
        "collision": 0
    },
    {
        "biomarker_id": "AN4459-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL-6 to IL-10 score",
                "assessed_biomarker_entity": {
                    "recommended_name": "Dublin-Boston score",
                    "synonyms": [
                        {
                            "synonym": "IL-6"
                        },
                        {
                            "synonym": "B-cell stimulatory factor 2"
                        },
                        {
                            "synonym": "BSF-2"
                        },
                        {
                            "synonym": "CTL differentiation factor"
                        },
                        {
                            "synonym": "CDF"
                        },
                        {
                            "synonym": "Hybridoma growth factor"
                        },
                        {
                            "synonym": "Interferon beta-2"
                        },
                        {
                            "synonym": "IFN-beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P05231",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "33039714",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33039714",
                        "evidence_list": [
                            {
                                "evidence": "The Dublin-Boston score uses the change between two IL-6:IL-10 ratio measurements taken 4 days apart to guide clinical decision-making by identifying hospitalized patients at risk of impending poor outcome, and is applicable to patients both in the ICU and on the ward. The score, and the change in IL-6:IL-10 from which it is derived, significantly outperform the predictive capabilities of IL-6 alone."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "increased IL-6 to IL-10 score",
                "assessed_biomarker_entity": {
                    "recommended_name": "Dublin-Boston score",
                    "synonyms": [
                        {
                            "synonym": "IL-10"
                        },
                        {
                            "synonym": "Cytokine synthesis inhibitory factor"
                        },
                        {
                            "synonym": "CSIF"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22301",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "33039714",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33039714",
                        "evidence_list": [
                            {
                                "evidence": "The Dublin-Boston score uses the change between two IL-6:IL-10 ratio measurements taken 4 days apart to guide clinical decision-making by identifying hospitalized patients at risk of impending poor outcome, and is applicable to patients both in the ICU and on the ward. The score, and the change in IL-6:IL-10 from which it is derived, significantly outperform the predictive capabilities of IL-6 alone."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "33039714",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/33039714",
                "evidence_list": [
                    {
                        "evidence": "The Dublin-Boston score uses the change between two IL-6:IL-10 ratio measurements taken 4 days apart to guide clinical decision-making by identifying hospitalized patients at risk of impending poor outcome, and is applicable to patients both in the ICU and on the ward. The score, and the change in IL-6:IL-10 from which it is derived, significantly outperform the predictive capabilities of IL-6 alone."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19.",
                "journal": "EBioMedicine",
                "authors": "McElvaney OJ, Hobbs BD, Qiao D, McElvaney OF, Moll M, McEvoy NL, Clarke J, O'Connor E, Walsh S, Cho MH, Curley GF, McElvaney NG",
                "date": "2020-10-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "33039714",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33039714"
                    }
                ]
            },
            {
                "title": "A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19.",
                "journal": "EBioMedicine",
                "authors": "McElvaney OJ, Hobbs BD, Qiao D, McElvaney OF, Moll M, McEvoy NL, Clarke J, O'Connor E, Walsh S, Cho MH, Curley GF, McElvaney NG",
                "date": "2020-10-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "33039714",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33039714"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4459",
        "collision": 0
    },
    {
        "biomarker_id": "AA4814-1",
        "biomarker_component": [
            {
                "biomarker": "decreased SELENOP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Selenoprotein P",
                    "synonyms": [
                        {
                            "synonym": "SeP"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P49908",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32708526",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32708526",
                        "evidence_list": [
                            {
                                "evidence": "The Se status was significantly higher in samples from surviving COVID patients as compared with non-survivors (Se; 53.3 \u00b1 16.2 vs. 40.8 \u00b1 8.1 \u00b5g/L, SELENOP; 3.3 \u00b1 1.3 vs. 2.1 \u00b1 0.9 mg/L), recovering with time in survivors while remaining low or even declining in non-survivors. We conclude that Se status analysis in COVID patients provides diagnostic information patients suffering from COVID-19 display a deficiency in the essential trace element Se in blood, along with low concentrations of the Se transporter SELENOP and low enzymatic activity of the secreted GPx3."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32708526",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32708526",
                "evidence_list": [
                    {
                        "evidence": "The Se status was significantly higher in samples from surviving COVID patients as compared with non-survivors (Se; 53.3 \u00b1 16.2 vs. 40.8 \u00b1 8.1 \u00b5g/L, SELENOP; 3.3 \u00b1 1.3 vs. 2.1 \u00b1 0.9 mg/L), recovering with time in survivors while remaining low or even declining in non-survivors. We conclude that Se status analysis in COVID patients provides diagnostic information patients suffering from COVID-19 display a deficiency in the essential trace element Se in blood, along with low concentrations of the Se transporter SELENOP and low enzymatic activity of the secreted GPx3."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Selenium Deficiency Is Associated with Mortality Risk from COVID-19.",
                "journal": "Nutrients",
                "authors": "Moghaddam A, Heller RA, Sun Q, Seelig J, Cherkezov A, Seibert L, Hackler J, Seemann P, Diegmann J, Pilz M, Bachmann M, Minich WB, Schomburg L",
                "date": "2020-07-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "32708526",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32708526"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4814",
        "collision": 1
    },
    {
        "biomarker_id": "AA4815-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL17A level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-17A",
                    "synonyms": [
                        {
                            "synonym": "IL-17"
                        },
                        {
                            "synonym": "IL-17A"
                        },
                        {
                            "synonym": "Cytotoxic T-lymphocyte-associated antigen 8"
                        },
                        {
                            "synonym": "CTLA-8"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q16552",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "82334-4"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "82334-4"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32576222",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                        "evidence_list": [
                            {
                                "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32576222",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                "evidence_list": [
                    {
                        "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "VEGF-D: a novel biomarker for detection of COVID-19 progression.",
                "journal": "Critical care (London, England)",
                "authors": "Kong Y, Han J, Wu X, Zeng H, Liu J, Zhang H",
                "date": "2020-06-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "32576222",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4815",
        "collision": 1
    },
    {
        "biomarker_id": "AA4816-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL18 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-18",
                    "synonyms": [
                        {
                            "synonym": "IL-18"
                        },
                        {
                            "synonym": "Iboctadekin"
                        },
                        {
                            "synonym": "Interferon gamma-inducing factor"
                        },
                        {
                            "synonym": "IFN-gamma-inducing factor"
                        },
                        {
                            "synonym": "Interleukin-1 gamma"
                        },
                        {
                            "synonym": "IL-1 gamma"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14116",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "33823-6"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "33823-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32576222",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                        "evidence_list": [
                            {
                                "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32576222",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                "evidence_list": [
                    {
                        "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "VEGF-D: a novel biomarker for detection of COVID-19 progression.",
                "journal": "Critical care (London, England)",
                "authors": "Kong Y, Han J, Wu X, Zeng H, Liu J, Zhang H",
                "date": "2020-06-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "32576222",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4816",
        "collision": 1
    },
    {
        "biomarker_id": "AA4817-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL15 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-15",
                    "synonyms": [
                        {
                            "synonym": "IL-15"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P40933",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32576222",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                        "evidence_list": [
                            {
                                "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32576222",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32576222",
                "evidence_list": [
                    {
                        "evidence": "Levels of VEGF-D, TNF-alpha, SCF, LIF, IL-2, IL-4, IL-6, IL-8, IL-10, IL-15, IL-17A, IL-18, IL-1 beta, and IFN-gamma were significantly higher in the critical group than in the severe group (Table 1)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "VEGF-D: a novel biomarker for detection of COVID-19 progression.",
                "journal": "Critical care (London, England)",
                "authors": "Kong Y, Han J, Wu X, Zeng H, Liu J, Zhang H",
                "date": "2020-06-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "32576222",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32576222"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4817",
        "collision": 1
    },
    {
        "biomarker_id": "AN4117-1",
        "biomarker_component": [
            {
                "biomarker": "presence of mutation L858R in EGFR",
                "assessed_biomarker_entity": {
                    "recommended_name": "Epidermal growth factor receptor gene",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene c-ErbB-1"
                        },
                        {
                            "synonym": "Receptor tyrosine-protein kinase erbB-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P00533",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": "13659-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23599147",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23599147",
                        "evidence_list": [
                            {
                                "evidence": "EGFR mutation-specific (E746-A750del and L858R) antibodies could be an additional tool distinguishing primary versus metastatic carcinomas in the lung. EGFR mutation-specific antibodies are negative in other tumors that overexpress wild-type EGFR protein."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "23599147",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/23599147",
                "evidence_list": [
                    {
                        "evidence": "EGFR mutation-specific (E746-A750del and L858R) antibodies could be an additional tool distinguishing primary versus metastatic carcinomas in the lung. EGFR mutation-specific antibodies are negative in other tumors that overexpress wild-type EGFR protein."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Immunohistochemical staining with EGFR mutation-specific antibodies: high specificity as a diagnostic marker for lung adenocarcinoma.",
                "journal": "Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc",
                "authors": "Wen YH, Brogi E, Hasanovic A, Ladanyi M, Soslow RA, Chitale D, Shia J, Moreira AL",
                "date": "2013-04-20",
                "evidence": [],
                "reference": [
                    {
                        "id": "23599147",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23599147"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4117",
        "collision": 1
    },
    {
        "biomarker_id": "AA4819-1",
        "biomarker_component": [
            {
                "biomarker": "increased HP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Haptoglobin",
                    "synonyms": [
                        {
                            "synonym": "Zonulin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P00738",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "4542-7"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "27648369",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27648369",
                        "evidence_list": [
                            {
                                "evidence": "HP may be a potential serological biomarker for lung adenocarcinoma diagnostics, especially in male subjects. We found that HP levels were significantly higher and APOA1 levels were significantly lower in lung cancer patients. However, after the participants were stratified by gender, the expression trends of HP and APOA1 in lung cancer patients existed only in men, which is gender specific phenomenon. HP, APOA1 and carcinoembryonic antigen (CEA), used for distinguishing lung adenocarcinoma, had a sensitivity of 64%, 64% and 79%, respectively. Area under the ROC curve (AUC) of HP, APOA1 and CEA were 0.768, 0.761 and 0.884, respectively. When restricted to male subjects, HP, APOA1 and CEA showed sensitivity of 89%, 73% and 100%, respectively. AUC of HP, APOA1 and CEA were 0.929, 0.840 and 0.877, respectively."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "27648369",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27648369",
                "evidence_list": [
                    {
                        "evidence": "HP may be a potential serological biomarker for lung adenocarcinoma diagnostics, especially in male subjects. We found that HP levels were significantly higher and APOA1 levels were significantly lower in lung cancer patients. However, after the participants were stratified by gender, the expression trends of HP and APOA1 in lung cancer patients existed only in men, which is gender specific phenomenon. HP, APOA1 and carcinoembryonic antigen (CEA), used for distinguishing lung adenocarcinoma, had a sensitivity of 64%, 64% and 79%, respectively. Area under the ROC curve (AUC) of HP, APOA1 and CEA were 0.768, 0.761 and 0.884, respectively. When restricted to male subjects, HP, APOA1 and CEA showed sensitivity of 89%, 73% and 100%, respectively. AUC of HP, APOA1 and CEA were 0.929, 0.840 and 0.877, respectively."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Haptoglobin is a serological biomarker for adenocarcinoma lung cancer by using the ProteomeLab PF2D combined with mass spectrometry.",
                "journal": "American journal of cancer research",
                "authors": "Chang YK, Lai YH, Chu Y, Lee MC, Huang CY, Wu S",
                "date": "2016-09-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "27648369",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27648369"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4819",
        "collision": 1
    },
    {
        "biomarker_id": "AA4820-1",
        "biomarker_component": [
            {
                "biomarker": "increased ALCAM level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Activated leukocyte cell adhesion molecule",
                    "synonyms": [
                        {
                            "synonym": "Activated leukocyte cell adhesion molecule"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q13740",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    },
                    {
                        "name": "lymph node",
                        "id": "UBERON:0000029",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000029",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26134500",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26134500",
                        "evidence_list": [
                            {
                                "evidence": "High ALCAM expression in primary melanoma cells (IRS >/=8) is strongly correlated with unfavorable prognosis as compared with patients with lower ALCAM immunoreactivity in tumor compartment as regards cancer specific overall survival (CSOS) (P = 0.001) and disease free survival (DFS) (P < 0.001). High ALCAM expression in melanoma cells of the primary tumor can be used as a marker of negative outcome and may indicate a more invasive phenotype of cancer cells, which would require a more intensive therapeutic strategy."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26134500",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26134500",
                "evidence_list": [
                    {
                        "evidence": "High ALCAM expression in primary melanoma cells (IRS >/=8) is strongly correlated with unfavorable prognosis as compared with patients with lower ALCAM immunoreactivity in tumor compartment as regards cancer specific overall survival (CSOS) (P = 0.001) and disease free survival (DFS) (P < 0.001). High ALCAM expression in melanoma cells of the primary tumor can be used as a marker of negative outcome and may indicate a more invasive phenotype of cancer cells, which would require a more intensive therapeutic strategy."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prognostic significance of ALCAM (CD166/MEMD) expression in cutaneous melanoma patients.",
                "journal": "Diagnostic pathology",
                "authors": "Donizy P, Zietek M, Halon A, Leskiewicz M, Kozyra C, Matkowski R",
                "date": "2015-07-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "26134500",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26134500"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4820",
        "collision": 1
    },
    {
        "biomarker_id": "AA4821-1",
        "biomarker_component": [
            {
                "biomarker": "decreased BRMS1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Breast cancer metastasis suppressor 1",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9HCU9",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    },
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": ""
                    },
                    {
                        "name": "ovary",
                        "id": "UBERON:0000992",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000992",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "20935672",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20935672",
                        "evidence_list": [
                            {
                                "evidence": "BRMS1 expression was significantly correlated with disease-specific 5-year survival of melanoma patients (P=0.007, log-rank test). Multivariate Cox regression analysis revealed that BRMS1 staining was an independent prognostic factor for melanoma patients (relative risk=0.51; confidence interval=0.29-0.91; P=0.022). BRMS1 expression was significantly decreased in metastatic melanoma compared with primary melanoma or dysplastic nevi (P=0.021 and 0.001, respectively, chi(2) test). BRMS1 may serve an important prognostic marker and therapeutic target for melanoma patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20935672",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20935672",
                "evidence_list": [
                    {
                        "evidence": "BRMS1 expression was significantly correlated with disease-specific 5-year survival of melanoma patients (P=0.007, log-rank test). Multivariate Cox regression analysis revealed that BRMS1 staining was an independent prognostic factor for melanoma patients (relative risk=0.51; confidence interval=0.29-0.91; P=0.022). BRMS1 expression was significantly decreased in metastatic melanoma compared with primary melanoma or dysplastic nevi (P=0.021 and 0.001, respectively, chi(2) test). BRMS1 may serve an important prognostic marker and therapeutic target for melanoma patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prognostic significance of BRMS1 expression in human melanoma and its role in tumor angiogenesis.",
                "journal": "Oncogene",
                "authors": "Li J, Cheng Y, Tai D, Martinka M, Welch DR, Li G",
                "date": "2010-10-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "20935672",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20935672"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4821",
        "collision": 1
    },
    {
        "biomarker_id": "AN4118-1",
        "biomarker_component": [
            {
                "biomarker": "presence of promoter methylation in Netrin",
                "assessed_biomarker_entity": {
                    "recommended_name": "Netrin receptor gene",
                    "synonyms": [
                        {
                            "synonym": "Colorectal cancer suppressor"
                        },
                        {
                            "synonym": "Immunoglobulin superfamily DCC subclass member 1"
                        },
                        {
                            "synonym": "Tumor suppressor protein DCC"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P43146",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "oral cavity",
                        "id": "UBERON:0000167",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000167",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "21558411",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21558411",
                        "evidence_list": [
                            {
                                "evidence": "EDNRB, HOXA9, GATA4, NID2, KIF1A, DCC show differential methylation between cases and controls. Promoter methylation of KIF1A, NID2, and EDNRB had a moderate to substantial agreement with clinical diagnosis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:11934",
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                "date": "2017-12-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "29278876",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29278876"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4831",
        "collision": 1
    },
    {
        "biomarker_id": "AN4124-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
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                    "recommended_name": "Nidogen-2 gene promoter methylation",
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                        {
                            "synonym": "NID-2"
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                        {
                            "synonym": "Osteonidogen"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14112",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "oral cavity",
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                ],
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                            {
                                "evidence": "EDNRB, HOXA9, GATA4, NID2, KIF1A, DCC show differential methylation between cases and controls. Promoter methylation of KIF1A, NID2, and EDNRB had a moderate to substantial agreement with clinical diagnosis."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:11934",
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                "description": "An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.",
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            "synonyms": [
                {
                    "id": "DOID:11934",
                    "name": "head and neck neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:11934",
                    "name": "head/neck neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:11934",
                    "name": "head and neck tumours",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:11934",
                    "name": "tumor of head and neck",
                    "resource": "Disease Ontology",
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        },
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                    {
                        "evidence": "EDNRB, HOXA9, GATA4, NID2, KIF1A, DCC show differential methylation between cases and controls. Promoter methylation of KIF1A, NID2, and EDNRB had a moderate to substantial agreement with clinical diagnosis."
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                ],
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                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "NID2 and HOXA9 promoter hypermethylation as biomarkers for prevention and early detection in oral cavity squamous cell carcinoma tissues and saliva.",
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                "authors": "Guerrero-Preston R, Soudry E, Acero J, Orera M, Moreno-L\u00f3pez L, Mac\u00eda-Col\u00f3n G, Jaffe A, Berdasco M, Ili-Gangas C, Brebi-Mieville P, Fu Y, Engstrom C, Irizarry RA, Esteller M, Westra W, Koch W, Califano J, Sidransky D",
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        "biomarker_canonical_id": "AN4124",
        "collision": 1
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    {
        "biomarker_id": "AA4833-1",
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            {
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                "assessed_biomarker_entity_id": "MRB:MI0003142",
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                    {
                        "name": "liver",
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                                "evidence": "The miR-498 expression level was significantly lower in liver cancer patient tissues than that in healthy control tissues. Furthermore, ZEB2 knockdown recapitulated the inhibitory effects of miR-498 overexpression in liver cancer cells. Thus, we demonstrated that miR-498 suppresses the growth and metastasis of liver cancer cells, partly at least, by directly targeting ZEB2, suggesting that miR-498 may serve as a potential biomarker for the diagnosis and therapy of liver cancer."
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                        ],
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                            {
                                "tag": "biomarker"
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        "best_biomarker_role": [
            {
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        "condition": {
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            "recommended_name": {
                "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
                    "name": "primary liver cancer",
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                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, not specified as primary or secondary",
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                {
                    "id": "DOID:3571",
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                {
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                {
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                    "name": "non-resectable primary hepatic malignant neoplasm",
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                {
                    "id": "DOID:3571",
                    "name": "malignant tumor of liver",
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                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, primary",
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                {
                    "id": "DOID:3571",
                    "name": "Ca liver - primary",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                },
                {
                    "id": "DOID:3571",
                    "name": "malignant hepato-biliary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
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        },
        "evidence_source": [
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                "id": "30592286",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30592286",
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                    {
                        "evidence": "The miR-498 expression level was significantly lower in liver cancer patient tissues than that in healthy control tissues. Furthermore, ZEB2 knockdown recapitulated the inhibitory effects of miR-498 overexpression in liver cancer cells. Thus, we demonstrated that miR-498 suppresses the growth and metastasis of liver cancer cells, partly at least, by directly targeting ZEB2, suggesting that miR-498 may serve as a potential biomarker for the diagnosis and therapy of liver cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
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        ],
        "citation": [
            {
                "title": "miR\u2011498 inhibits the growth and metastasis of liver cancer by targeting ZEB2.",
                "journal": "Oncology reports",
                "authors": "Zhang X, Xu X, Ge G, Zang X, Shao M, Zou S, Zhang Y, Mao Z, Zhang J, Mao F, Qian H, Xu W",
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                "assessed_biomarker_entity_id": "UPKB:Q9ULD0",
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                                "evidence": "OGDHL had lower expression in cancerous liver tissues than noncancerous adjacent tissues, and low expression correlated with more advanced patient age, histologic grade, stage, T classification, and poor survival. Survival analysis showed that patients with lower OGDHL levels had shorter overall survival (OS), and subgroup analysis indicated this relationship also held for patients with grade G1/G2, stage I/II, T3, N0, and M0 cancers. In addition, patients with lower OGDHL levels had shorter relapse-free survival, and subgroup analysis indicated this relationship also held for patients with grade G1/G2, stage III/IV, T1, T3, N0, and M1 cancers. Patients with lower OGDHL expression had shorter OS and relapse-free survival. Multivariate Cox regression indicated that low OGDHL expression was an independent risk factor for poor prognosis."
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                {
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                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
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                        "evidence": "OGDHL had lower expression in cancerous liver tissues than noncancerous adjacent tissues, and low expression correlated with more advanced patient age, histologic grade, stage, T classification, and poor survival. Survival analysis showed that patients with lower OGDHL levels had shorter overall survival (OS), and subgroup analysis indicated this relationship also held for patients with grade G1/G2, stage I/II, T3, N0, and M0 cancers. In addition, patients with lower OGDHL levels had shorter relapse-free survival, and subgroup analysis indicated this relationship also held for patients with grade G1/G2, stage III/IV, T1, T3, N0, and M1 cancers. Patients with lower OGDHL expression had shorter OS and relapse-free survival. Multivariate Cox regression indicated that low OGDHL expression was an independent risk factor for poor prognosis."
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                ],
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                    {
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            {
                "title": "",
                "journal": "Disease markers",
                "authors": "Jiao Y, Li Y, Fu Z, Hou L, Chen Q, Cai Y, Jiang P, He M, Yang Z",
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                                "evidence": "Diagnostic performance of plasma Hsp90a was evaluated by the calculated sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). ROC curve showed plasma Hsp90a can discriminating liver cancer with a sensitivity of 92.7% and specificity of 91.3% from non-liver cancer control."
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                {
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                {
                    "id": "DOID:3571",
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                {
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
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                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
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                "id": "28939487",
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                "url": "https://pubmed.ncbi.nlm.nih.gov/28939487",
                "evidence_list": [
                    {
                        "evidence": "Diagnostic performance of plasma Hsp90a was evaluated by the calculated sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). ROC curve showed plasma Hsp90a can discriminating liver cancer with a sensitivity of 92.7% and specificity of 91.3% from non-liver cancer control."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Plasma Heat Shock Protein 90alpha as a Biomarker for the Diagnosis of Liver Cancer: An Official, Large-scale, and Multicenter Clinical Trial.",
                "journal": "EBioMedicine",
                "authors": "Fu Y, Xu X, Huang D, Cui D, Liu L, Liu J, He Z, Liu J, Zheng S, Luo Y",
                "date": "2017-09-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "28939487",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28939487"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4835",
        "collision": 1
    },
    {
        "biomarker_id": "AN4126-1",
        "biomarker_component": [
            {
                "biomarker": "decreased SLC25A11 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Mitochondrial 2-oxoglutarate/malate carrier protein",
                    "synonyms": [
                        {
                            "synonym": "OGCP"
                        },
                        {
                            "synonym": "alpha-oxoglutarate carrier"
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                        {
                            "synonym": "Solute carrier family 25 member 11"
                        },
                        {
                            "synonym": "SLC25A11"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q02978",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "liver",
                        "id": "UBERON:0002107",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002107",
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                ],
                "evidence_source": [
                    {
                        "id": "32555317",
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                            {
                                "evidence": "Liver cancer patients with low SLC25A11 expression had shorter OS and RFS than patients with high SLC25A11 expression. Multivariate analysis showed that the expression of SLC25A11 was an independent predictor of RFS and OS. In conclusion, this study identified that SLC25A11 serves as a new prognostic marker for liver cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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            "id": "DOID:3571",
            "recommended_name": {
                "id": "DOID:3571",
                "name": "liver cancer",
                "description": "A hepatobiliary system cancer that is located_in the liver.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:3571",
                    "name": "resectable malignant neoplasm of the liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "primary liver cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, not specified as primary or secondary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "Resectable malignant neoplasm of Liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "non-resectable primary hepatic malignant neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant tumor of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, primary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "Ca liver - primary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "primary malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "hepatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "hepatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant hepato-biliary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32555317",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32555317",
                "evidence_list": [
                    {
                        "evidence": "Liver cancer patients with low SLC25A11 expression had shorter OS and RFS than patients with high SLC25A11 expression. Multivariate analysis showed that the expression of SLC25A11 was an independent predictor of RFS and OS. In conclusion, this study identified that SLC25A11 serves as a new prognostic marker for liver cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "SLC25A11 serves as a novel prognostic biomarker in liver cancer.",
                "journal": "Scientific reports",
                "authors": "Pan G, Wang R, Jia S, Li Y, Jiao Y, Liu N",
                "date": "2020-06-20",
                "evidence": [],
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                    {
                        "id": "32555317",
                        "type": "Pubmed",
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        ],
        "biomarker_canonical_id": "AN4126",
        "collision": 1
    },
    {
        "biomarker_id": "AN4127-1",
        "biomarker_component": [
            {
                "biomarker": "increased DCK level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Deoxycytidine kinase",
                    "synonyms": [
                        {
                            "synonym": "dCK"
                        },
                        {
                            "synonym": "Deoxyadenosine kinase"
                        },
                        {
                            "synonym": "Deoxyguanosine kinase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P27707",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "liver",
                        "id": "UBERON:0002107",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002107",
                        "loinc_code": ""
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                            {
                                "evidence": "The deoxycytidine kinase messenger RNA level significantly upregulated in patients with liver cancer compared to normal liver samples. All the above findings suggested that increased expression of deoxycytidine kinase was significantly related to unfavorable prognosis in patients with liver cancer. Deoxycytidine kinase is correlated with immune infiltrating levels, including those of B cells, macrophages, neutrophils, and dendritic cells in patients with liver cancer. The survival curves revealed that in patients with liver cancer, the high expression level of DCK (RNA-SeqID:1633) indicated worse prognosis. high expression of DCK resulted in shorter OS (HR = 1.90, 95% CI = 1.32-2.72, P value = .00043) and RFS (HR = 1.53, 95% CI = 1.10-2.13, P value = .011)."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:3571",
            "recommended_name": {
                "id": "DOID:3571",
                "name": "liver cancer",
                "description": "A hepatobiliary system cancer that is located_in the liver.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:3571",
                    "name": "resectable malignant neoplasm of the liver",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:3571",
                    "name": "primary liver cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, not specified as primary or secondary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "Resectable malignant neoplasm of Liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "non-resectable primary hepatic malignant neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant tumor of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, primary",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:3571",
                    "name": "Ca liver - primary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "primary malignant neoplasm of liver",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:3571",
                    "name": "hepatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "hepatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant hepato-biliary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32588770",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32588770",
                "evidence_list": [
                    {
                        "evidence": "The deoxycytidine kinase messenger RNA level significantly upregulated in patients with liver cancer compared to normal liver samples. All the above findings suggested that increased expression of deoxycytidine kinase was significantly related to unfavorable prognosis in patients with liver cancer. Deoxycytidine kinase is correlated with immune infiltrating levels, including those of B cells, macrophages, neutrophils, and dendritic cells in patients with liver cancer. The survival curves revealed that in patients with liver cancer, the high expression level of DCK (RNA-SeqID:1633) indicated worse prognosis. high expression of DCK resulted in shorter OS (HR = 1.90, 95% CI = 1.32-2.72, P value = .00043) and RFS (HR = 1.53, 95% CI = 1.10-2.13, P value = .011)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "DCK is an Unfavorable Prognostic Biomarker and Correlated With Immune Infiltrates in Liver Cancer.",
                "journal": "Technology in cancer research & treatment",
                "authors": "Hu SF, Lin X, Xu LP, Chen HG, Guo JF, Jin L",
                "date": "2020-06-27",
                "evidence": [],
                "reference": [
                    {
                        "id": "32588770",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32588770"
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                ]
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        ],
        "biomarker_canonical_id": "AN4127",
        "collision": 1
    },
    {
        "biomarker_id": "AA4838-1",
        "biomarker_component": [
            {
                "biomarker": "increased H2AX level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Histone H2AX",
                    "synonyms": [
                        {
                            "synonym": "H2a/x"
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                        {
                            "synonym": "Histone H2A.X"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P16104",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "31552812",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31552812",
                        "evidence_list": [
                            {
                                "evidence": "Greater tumor size, higher grade, and the number of affected lymph nodes are significantly associated with greater values of gamma-H2AX. Higher values of estrogen receptor and progesterone receptor are significantly associated with lower gamma-H2AX values. In conclusion, a positive association between gamma-H2AX expression and infaust histopathological parameters was observed."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31552812",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31552812",
                "evidence_list": [
                    {
                        "evidence": "Greater tumor size, higher grade, and the number of affected lymph nodes are significantly associated with greater values of gamma-H2AX. Higher values of estrogen receptor and progesterone receptor are significantly associated with lower gamma-H2AX values. In conclusion, a positive association between gamma-H2AX expression and infaust histopathological parameters was observed."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "gamma-H2AX: A potential biomarker in breast cancer.",
                "journal": "Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine",
                "authors": "Varvara PV, Karaolanis G, Valavanis C, Stanc G, Tzaida O, Trihia H, Patapis P, Dimitroulis D, Perrea D",
                "date": "2019-09-26",
                "evidence": [],
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                    {
                        "id": "31552812",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31552812"
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                ]
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        ],
        "biomarker_canonical_id": "AA4838",
        "collision": 1
    },
    {
        "biomarker_id": "AA4839-1",
        "biomarker_component": [
            {
                "biomarker": "increased CTDNA level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Circulating tumor-derived DNA",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C113243",
                "assessed_entity_type": "DNA",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "31070691",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31070691",
                        "evidence_list": [
                            {
                                "evidence": "During surveillance after definitive therapy, ctDNA-positive patients were more than 40 times more likely to experience disease recurrence than ctDNA negative patients (HR, 43.5; 95% CI, 9.8-193.5 P < .001). In all multivariate analyses, ctDNA status was independently associated with relapse after adjusting for known clinicopathologic risk factors. Circulating tumor DNA analysis can potentially change the postoperative management of CRC by enabling risk stratification, ACT monitoring, and early relapse detection."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
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        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
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            "synonyms": []
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        "evidence_source": [
            {
                "id": "31070691",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31070691",
                "evidence_list": [
                    {
                        "evidence": "During surveillance after definitive therapy, ctDNA-positive patients were more than 40 times more likely to experience disease recurrence than ctDNA negative patients (HR, 43.5; 95% CI, 9.8-193.5 P < .001). In all multivariate analyses, ctDNA status was independently associated with relapse after adjusting for known clinicopathologic risk factors. Circulating tumor DNA analysis can potentially change the postoperative management of CRC by enabling risk stratification, ACT monitoring, and early relapse detection."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Analysis of Plasma Cell-Free DNA by Ultradeep Sequencing in Patients With Stages I to III Colorectal Cancer.",
                "journal": "JAMA oncology",
                "authors": "Reinert T, Henriksen TV, Christensen E, Sharma S, Salari R, Sethi H, Knudsen M, Nordentoft I, Wu HT, Tin AS, Heilskov Rasmussen M, Vang S, Shchegrova S, Frydendahl Boll Johansen A, Srinivasan R, Assaf Z, Balcioglu M, Olson A, Dashner S, Hafez D, Navarro S, Goel S, Rabinowitz M, Billings P, Sigurjonsson S, Dyrskj\u00f8t L, Swenerton R, Aleshin A, Laurberg S, Husted Madsen A, Kannerup AS, Stribolt K, Palmelund Krag S, Iversen LH, Gotschalck Sunesen K, Lin CJ, Zimmermann BG, Lindbjerg Andersen C",
                "date": "2019-05-10",
                "evidence": [],
                "reference": [
                    {
                        "id": "31070691",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31070691"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4839",
        "collision": 1
    },
    {
        "biomarker_id": "AA4840-1",
        "biomarker_component": [
            {
                "biomarker": "increased of TRAF2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Tumor necrosis factor receptor-associated factor 2",
                    "synonyms": [
                        {
                            "synonym": "E3 ubiquitin-protein ligase TRAF2"
                        },
                        {
                            "synonym": "RING-type E3 ubiquitin transferase TRAF2"
                        },
                        {
                            "synonym": "Tumor necrosis factor type 2 receptor-associated protein 3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q12933",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                                "tag": "assessed_biomarker_entity_id"
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        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
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                "description": "A male reproductive organ cancer that is located_in the prostate.",
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                {
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                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
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                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
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                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
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            ]
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                    {
                        "evidence": "We found that TRAF2 was significantly upregulated in prostate cancer compared with normal prostate samples (P<0.001). TRAF2 high expression was associated with poorer recurrence-free survival in prostate cancer patients (P=0.013). TRAF2 was found to be a valuable independent prognostic factor for predicting recurrence-free survival (P=0.026). TRAF2 could be a novel prognostic biomarker for predicting recurrence-free survival in patients with prostate cancer, which might be associated with the effects of TRAF2 in regulating TRAIL-induced apoptosis in prostate cancer cells via c-Flip/Caspase-8 signaling."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "TRAF2 is a Valuable Prognostic Biomarker in Patients with Prostate Cancer.",
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                "authors": "Wei B, Liang J, Hu J, Mi Y, Ruan J, Zhang J, Wang Z, Hu Q, Jiang H, Ding Q",
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        "biomarker_canonical_id": "AA4840",
        "collision": 1
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    {
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            {
                "biomarker": "decreased MIR-214 level",
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                    "synonyms": []
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                "assessed_biomarker_entity_id": "MRB:MI0000290",
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                    {
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                                "evidence": "Underexpressed extracellular miR-214 in urine was significantly associated with higher tumor stage, higher lymph node status, higher grade, age and history of non-muscle-invasive bladder cancer (NMIBC). Urinary cell-free miR-214 is a hopeful biomarker for tumor stratification, early diagnosis and prognostic assessment of bladder cancer."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                "id": "DOID:11054",
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                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
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                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
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            ]
        },
        "evidence_source": [
            {
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                    {
                        "evidence": "Underexpressed extracellular miR-214 in urine was significantly associated with higher tumor stage, higher lymph node status, higher grade, age and history of non-muscle-invasive bladder cancer (NMIBC). Urinary cell-free miR-214 is a hopeful biomarker for tumor stratification, early diagnosis and prognostic assessment of bladder cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Downregulation of urinary cell-free microRNA-214 as a diagnostic and prognostic biomarker in bladder cancer.",
                "journal": "Journal of surgical oncology",
                "authors": "Wang J, Zhang X, Wang L, Dong Z, Du L, Yang Y, Guo Y, Wang C",
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                        "id": "25975233",
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    {
        "biomarker_id": "AA4842-1",
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                "biomarker": "decreased NDRG2 level",
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                            "synonym": "Protein Syld709613"
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                        "evidence_list": [
                            {
                                "evidence": "The relative NDRG2 expression were significantly downregulated both at mRNA and protein levels in urine of patients with bladder cancer and in cell lines, and its low expression was distinctively correlated with tumor grade and stage. NDRG2 was decreased in patients with bladder cancer and might be involved in the progression of this malignancy. Moreover, NDRG2 could be a potential independent diagnostic biomarker for bladder cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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        "best_biomarker_role": [
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        "condition": {
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                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
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                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
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                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
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        },
        "evidence_source": [
            {
                "id": "28953854",
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                    {
                        "evidence": "The relative NDRG2 expression were significantly downregulated both at mRNA and protein levels in urine of patients with bladder cancer and in cell lines, and its low expression was distinctively correlated with tumor grade and stage. NDRG2 was decreased in patients with bladder cancer and might be involved in the progression of this malignancy. Moreover, NDRG2 could be a potential independent diagnostic biomarker for bladder cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Expression of N-Myc Downstream-Regulated Gene 2 in Bladder Cancer and Its Potential Utility as a Urinary Diagnostic Biomarker.",
                "journal": "Medical science monitor : international medical journal of experimental and clinical research",
                "authors": "Zhang M, Ren B, Li Z, Niu W, Wang Y",
                "date": "2017-09-28",
                "evidence": [],
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                "biomarker": "increased FCN3 level",
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                        {
                            "synonym": "Collagen/fibrinogen domain-containing lectin 3 p35"
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                            "synonym": "Collagen/fibrinogen domain-containing protein 3"
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                            "synonym": "Hakata antigen"
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                "assessed_biomarker_entity_id": "UPKB:O75636",
                "assessed_entity_type": "protein",
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                    {
                        "name": "blood",
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                                "evidence": "The serum ficolin-3 level in the esophageal squamous cell carcinoma (ESCC) group was significantly higher than in the esophageal adenocarcinoma (EAC) group (19.59 \u00b1 4.35 ng/mL vs. 18.39 \u00b1 5.42 ng/mL, p < 0.01). Serum ficolin-3 levels were identified as an independent prognostic biomarker for DSS and OS in Chinese patients with EC, especially EAC."
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of middle third of oesophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
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                {
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
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                "evidence_list": [
                    {
                        "evidence": "The serum ficolin-3 level in the esophageal squamous cell carcinoma (ESCC) group was significantly higher than in the esophageal adenocarcinoma (EAC) group (19.59 \u00b1 4.35 ng/mL vs. 18.39 \u00b1 5.42 ng/mL, p < 0.01). Serum ficolin-3 levels were identified as an independent prognostic biomarker for DSS and OS in Chinese patients with EC, especially EAC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Evaluation of Ficolin-3 as a Potential Prognostic Serum Biomarker in Chinese Patients with Esophageal Cancer.",
                "journal": "Genetic testing and molecular biomarkers",
                "authors": "Li Q, Lin Y",
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                "biomarker": "increased CHI3L1 level",
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                            "synonym": "CGP-39"
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                            "synonym": "hCGP-39"
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                },
                "assessed_biomarker_entity_id": "UPKB:P36222",
                "assessed_entity_type": "protein",
                "specimen": [
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                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
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                                "evidence": "Plasma YKL-40 levels were significantly higher in patients with lymph node metastasis than those that were non-metastatic (p = 0.005). This study indicated that YKL-40 may be a biomarker for esophageal cancer and potential biomarker for identification of invasive esophageal cancer."
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                        ],
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                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                {
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                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of abdominal esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "Ca middle third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
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                "evidence_list": [
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                        "evidence": "Plasma YKL-40 levels were significantly higher in patients with lymph node metastasis than those that were non-metastatic (p = 0.005). This study indicated that YKL-40 may be a biomarker for esophageal cancer and potential biomarker for identification of invasive esophageal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Plasma YKL-40: a Potential Biomarker for Tumor Invasion in Esophageal Cancer.",
                "journal": "Clinical laboratory",
                "authors": "Huang R, Yao J, Ding X, Liu J, Fan C, Duan H, Ye H",
                "date": "2020-03-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32162865",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32162865"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4844",
        "collision": 1
    },
    {
        "biomarker_id": "AA4844-2",
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            {
                "biomarker": "increased CHI3L1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Chitinase-3-like protein 1",
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                        {
                            "synonym": "39 kDa synovial protein"
                        },
                        {
                            "synonym": "Cartilage glycoprotein 39"
                        },
                        {
                            "synonym": "CGP-39"
                        },
                        {
                            "synonym": "GP-39"
                        },
                        {
                            "synonym": "hCGP-39"
                        },
                        {
                            "synonym": "YKL-40"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P36222",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
                        "id": "UBERON:0002046",
                        "name_space": "Uberon",
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                    {
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                        "database": "Pubmed",
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                            {
                                "evidence": "Here, we investigated the prognostic significance of CHI3L1 expression in thyroid neoplasms and examined the potential oncogenic roles. Compared with normal thyroid tissue and benign thyroid lesions that had low or no detectable CHI3L1 expression, CHI3L1 was overexpressed in both differentiated and undifferentiated thyroid cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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            "recommended_name": {
                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
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                "url": "http://purl.obolibrary.org/obo/DOID_1781"
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            "synonyms": [
                {
                    "id": "DOID:1781",
                    "name": "neoplasm of thyroid gland",
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                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
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            {
                "id": "32613636",
                "database": "Pubmed",
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                    {
                        "evidence": "Here, we investigated the prognostic significance of CHI3L1 expression in thyroid neoplasms and examined the potential oncogenic roles. Compared with normal thyroid tissue and benign thyroid lesions that had low or no detectable CHI3L1 expression, CHI3L1 was overexpressed in both differentiated and undifferentiated thyroid cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Overexpression of chitinase-3-like protein 1 is associated with structural recurrence in patients with differentiated thyroid cancer.",
                "journal": "The Journal of pathology",
                "authors": "Cheng SP, Lee JJ, Chang YC, Lin CH, Li YS, Liu CL",
                "date": "2020-07-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "32613636",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32613636"
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        ],
        "biomarker_canonical_id": "AA4844",
        "collision": 1
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    {
        "biomarker_id": "AN4128-1",
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            {
                "biomarker": "decreased P4HA1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prolyl 4-hydroxylase subunit alpha 1",
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                        {
                            "synonym": "4-PH alpha-1"
                        },
                        {
                            "synonym": "Procollagen-proline,2-oxoglutarate-4-dioxygenase subunit alpha-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P13674",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
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                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "32053263",
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                            {
                                "evidence": "We studied further the significance of one of the genes, prolyl 4-hydroxylase subunit alpha 1 (P4HA1), in melanoma progression. P4HA1 depletion in melanoma cells reduced cell adhesion, invasion, and viability in vitro. Taken together, P4HA1 is an interesting potential prognostic marker and therapeutic target in primary melanomas, influencing many aspects of melanoma tumor progression."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
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            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32053263",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32053263",
                "evidence_list": [
                    {
                        "evidence": "We studied further the significance of one of the genes, prolyl 4-hydroxylase subunit alpha 1 (P4HA1), in melanoma progression. P4HA1 depletion in melanoma cells reduced cell adhesion, invasion, and viability in vitro. Taken together, P4HA1 is an interesting potential prognostic marker and therapeutic target in primary melanomas, influencing many aspects of melanoma tumor progression."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prolyl 4-hydroxylase subunit alpha 1 (P4HA1) is a biomarker of poor prognosis in primary melanomas, and its depletion inhibits melanoma cell invasion and disrupts tumor blood vessel walls.",
                "journal": "Molecular oncology",
                "authors": "Eriksson J, Le Joncour V, Jahkola T, Juteau S, Laakkonen P, Saksela O, H\u00f6ltt\u00e4 E",
                "date": "2020-02-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32053263",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32053263"
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                ]
            }
        ],
        "biomarker_canonical_id": "AN4128",
        "collision": 1
    },
    {
        "biomarker_id": "AA4846-1",
        "biomarker_component": [
            {
                "biomarker": "increased GDF15 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Macrophage inhibitory cytokine 1",
                    "synonyms": [
                        {
                            "synonym": "GDF-15"
                        },
                        {
                            "synonym": "Macrophage inhibitory cytokine 1"
                        },
                        {
                            "synonym": "MIC-1"
                        },
                        {
                            "synonym": "NSAID-activated gene 1 protein"
                        },
                        {
                            "synonym": "NAG-1"
                        },
                        {
                            "synonym": "NSAID-regulated gene 1 protein"
                        },
                        {
                            "synonym": "NRG-1"
                        },
                        {
                            "synonym": "Placental TGF-beta"
                        },
                        {
                            "synonym": "Placental bone morphogenetic protein"
                        },
                        {
                            "synonym": "Prostate differentiation factor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99988",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
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                "evidence_source": [
                    {
                        "id": "16428484",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16428484",
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                            {
                                "evidence": "Ninety percent of patients with pancreatic cancer had MIC-1 levels >2 SD above age-matched controls. By logistic regression analysis, MIC-1 and CA19-9 were significant independent predictors of diagnosis. Receiver operating characteristic curve analysis showed that MIC-1 was significantly better than CA19-9 in differentiating patients with pancreatic cancer from healthy controls (area under the curve is 0.99 and 0.78, respectively; P = 0.003), but not in distinguishing pancreatic cancer from chronic pancreatitis (area under the curve of 0.81 and 0.74, respectively; P = 0.63). In the differentiation of patients with resectable pancreatic cancer from controls, serum MIC-1 outperforms other markers including CA19-9."
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                        ],
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                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        "condition": {
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                "id": "DOID:1793",
                "name": "pancreatic cancer",
                "description": "An endocrine gland cancer located_in the pancreas.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
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                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "16428484",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16428484",
                "evidence_list": [
                    {
                        "evidence": "Ninety percent of patients with pancreatic cancer had MIC-1 levels >2 SD above age-matched controls. By logistic regression analysis, MIC-1 and CA19-9 were significant independent predictors of diagnosis. Receiver operating characteristic curve analysis showed that MIC-1 was significantly better than CA19-9 in differentiating patients with pancreatic cancer from healthy controls (area under the curve is 0.99 and 0.78, respectively; P = 0.003), but not in distinguishing pancreatic cancer from chronic pancreatitis (area under the curve of 0.81 and 0.74, respectively; P = 0.63). In the differentiation of patients with resectable pancreatic cancer from controls, serum MIC-1 outperforms other markers including CA19-9."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum markers in patients with resectable pancreatic adenocarcinoma: macrophage inhibitory cytokine 1 versus CA19-9.",
                "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research",
                "authors": "Koopmann J, Rosenzweig CN, Zhang Z, Canto MI, Brown DA, Hunter M, Yeo C, Chan DW, Breit SN, Goggins M",
                "date": "2006-01-24",
                "evidence": [],
                "reference": [
                    {
                        "id": "16428484",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16428484"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4846",
        "collision": 1
    },
    {
        "biomarker_id": "AA4847-1",
        "biomarker_component": [
            {
                "biomarker": "increased BNIP3L level",
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                    "recommended_name": "BCL2/Adenovirus E1B 19 kDa protein-interacting protein 3-like",
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                        {
                            "synonym": "Adenovirus E1B19K-binding protein B5"
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                        {
                            "synonym": "BCL2/adenovirus E1B 19 kDa protein-interacting protein 3A"
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                        {
                            "synonym": "NIP3-like protein X"
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                        {
                            "synonym": "NIP3L"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O60238",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                ],
                "evidence_source": [
                    {
                        "id": "32620611",
                        "database": "Pubmed",
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                            {
                                "evidence": "A specific antibody response was raised against an antigen identified as BNIP3L, which correlated with a good prognosis. Medium and high expression of BNIP3L was also linked with longer overall survival. BNIP3L is a candidate prognostic marker of clinical outcome of melanoma patients treated with AGI-101H, and may be considered as a prediction marker for patient survival."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
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            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32620611",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32620611",
                "evidence_list": [
                    {
                        "evidence": "A specific antibody response was raised against an antigen identified as BNIP3L, which correlated with a good prognosis. Medium and high expression of BNIP3L was also linked with longer overall survival. BNIP3L is a candidate prognostic marker of clinical outcome of melanoma patients treated with AGI-101H, and may be considered as a prediction marker for patient survival."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "BNIP3L Is a New Autophagy Related Prognostic Biomarker for Melanoma Patients Treated With AGI-101H.",
                "journal": "Anticancer research",
                "authors": "Kazimierczak U, Kolenda T, Kowalczyk D, Mackiewicz J, Mackiewicz A",
                "date": "2020-07-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32620611",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32620611"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4847",
        "collision": 1
    },
    {
        "biomarker_id": "AN4129-1",
        "biomarker_component": [
            {
                "biomarker": "increased GPC6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Glypican 6",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y625",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
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                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31199813",
                        "evidence_list": [
                            {
                                "evidence": "GPC6 expression was up-regulated in a melanoma cell line compared to normal melanocytes and in metastatic melanoma compared to primary melanoma. Together, our findings identified GPC6 as an early biomarker for melanoma metastatic progression, one that can be regulated by miR-509-3p."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
        "best_biomarker_role": [
            {
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        ],
        "condition": {
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            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31199813",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31199813",
                "evidence_list": [
                    {
                        "evidence": "GPC6 expression was up-regulated in a melanoma cell line compared to normal melanocytes and in metastatic melanoma compared to primary melanoma. Together, our findings identified GPC6 as an early biomarker for melanoma metastatic progression, one that can be regulated by miR-509-3p."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Glypican 6 is a putative biomarker for metastatic progression of cutaneous melanoma.",
                "journal": "PloS one",
                "authors": "Li Y, Li M, Shats I, Krahn JM, Flake GP, Umbach DM, Li X, Li L",
                "date": "2019-06-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "31199813",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31199813"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4129",
        "collision": 1
    },
    {
        "biomarker_id": "AA4849-1",
        "biomarker_component": [
            {
                "biomarker": "decreased MIR-125A-5P level",
                "assessed_biomarker_entity": {
                    "recommended_name": "miRNA-125a-5p",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "MRB:MIMAT0000443",
                "assessed_entity_type": "miRNA",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31325708",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31325708",
                        "evidence_list": [
                            {
                                "evidence": "miR-125a-5p downregulation was associated with recurrent disease in a panel of high-risk HNSCC and then confirmed poor survival associated with low expression in HNSCC via the Cancer Genome Atlas, suggesting that miR-125a-5p acts as a tumor suppressor miRNA. results reveal that in patients who developed a local recurrence, there was an associated decreased in miR-125a-5p expression, compared to patients who did not have evidence of disease (P = .0036), out of a total of 77 evaluable patient samples analyzed. patients with low levels of miR-125a-5p is associated with a worse overall survival than patients with high levels of miR-125a-5p (P = .006)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:11934",
            "recommended_name": {
                "id": "DOID:11934",
                "name": "head and neck cancer",
                "description": "An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11934"
            },
            "synonyms": [
                {
                    "id": "DOID:11934",
                    "name": "head and neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head/neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head and neck tumours",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "tumor of head and neck",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31325708",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31325708",
                "evidence_list": [
                    {
                        "evidence": "miR-125a-5p downregulation was associated with recurrent disease in a panel of high-risk HNSCC and then confirmed poor survival associated with low expression in HNSCC via the Cancer Genome Atlas, suggesting that miR-125a-5p acts as a tumor suppressor miRNA. results reveal that in patients who developed a local recurrence, there was an associated decreased in miR-125a-5p expression, compared to patients who did not have evidence of disease (P = .0036), out of a total of 77 evaluable patient samples analyzed. patients with low levels of miR-125a-5p is associated with a worse overall survival than patients with high levels of miR-125a-5p (P = .006)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "miR-125a-5p Functions as Tumor Suppressor microRNA And Is a Marker of Locoregional Recurrence And Poor prognosis in Head And Neck Cancer.",
                "journal": "Neoplasia (New York, N.Y.)",
                "authors": "Vo DT, Karanam NK, Ding L, Saha D, Yordy JS, Giri U, Heymach JV, Story MD",
                "date": "2019-07-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "31325708",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31325708"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4849",
        "collision": 1
    },
    {
        "biomarker_id": "AN4130-1",
        "biomarker_component": [
            {
                "biomarker": "increased GLT8D1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Glycosyltransferase 8 domain containing 1",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q68CQ7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31305325",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31305325",
                        "evidence_list": [
                            {
                                "evidence": "The GEO data analysis exhibited that the GLT8D1 mRNA expression was upregulated in the melanoma samples compared with the benign nevus samples. Furthermore, the GLT8D1 protein expression in cutaneous melanoma was higher than that in mucosal melanoma (P = 0.001). The high GLT8D1 protein expression was remarkably correlated with Clark level (P = 0.027), AJCC stage (P = 0.003), ulceration status (P = 0.041) Ki-67 expression (P = 0.030) and especially with histopathological type (P = 0.001). The results of the Kaplan-Meier survival and Cox regression analyses revealed that cutaneous melanoma patients with high GLT8D1 expression (P = 0.036), Clark level (P = 0.018) and advanced AJCC stage (P = 0.003) encountered poor overall survival. Overall survival (P = 0.040) and progression free survival (P = 0.019) were worse for the patients with high GLT8D1 expression than for the patients with low expression. These data implied that GLT8D1 could be an independent prognostic factor for an unfavorable prognosis in cutaneous malignant melanoma patients and that GLT8D1 overexpression might serve as a novel prognostic biomarker."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31305325",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31305325",
                "evidence_list": [
                    {
                        "evidence": "The GEO data analysis exhibited that the GLT8D1 mRNA expression was upregulated in the melanoma samples compared with the benign nevus samples. Furthermore, the GLT8D1 protein expression in cutaneous melanoma was higher than that in mucosal melanoma (P = 0.001). The high GLT8D1 protein expression was remarkably correlated with Clark level (P = 0.027), AJCC stage (P = 0.003), ulceration status (P = 0.041) Ki-67 expression (P = 0.030) and especially with histopathological type (P = 0.001). The results of the Kaplan-Meier survival and Cox regression analyses revealed that cutaneous melanoma patients with high GLT8D1 expression (P = 0.036), Clark level (P = 0.018) and advanced AJCC stage (P = 0.003) encountered poor overall survival. Overall survival (P = 0.040) and progression free survival (P = 0.019) were worse for the patients with high GLT8D1 expression than for the patients with low expression. These data implied that GLT8D1 could be an independent prognostic factor for an unfavorable prognosis in cutaneous malignant melanoma patients and that GLT8D1 overexpression might serve as a novel prognostic biomarker."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "GLT8D1 overexpression as a novel prognostic biomarker in human cutaneous melanoma.",
                "journal": "Melanoma research",
                "authors": "Hu H, Li Z, Zhou Y, Zhang Y, Zhao L, Zhao W, Huang Y, Song X",
                "date": "2019-07-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "31305325",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31305325"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4130",
        "collision": 1
    },
    {
        "biomarker_id": "AA4851-1",
        "biomarker_component": [
            {
                "biomarker": "decreased MIR-1231 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "miRNA-1231",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "MRB:MI0006321",
                "assessed_entity_type": "miRNA",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31822000",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31822000",
                        "evidence_list": [
                            {
                                "evidence": "miR-1231 expression was downregulated in both prostate cancer tissues and cell lines. Downregulation of miR-1231 was significantly associated with lymph node metastasis, higher TNM stage, higher clinical stage, and shorter overall survival. The expression of miR-1231 was predicted as a prognostic factor for prostate cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31822000",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31822000",
                "evidence_list": [
                    {
                        "evidence": "miR-1231 expression was downregulated in both prostate cancer tissues and cell lines. Downregulation of miR-1231 was significantly associated with lymph node metastasis, higher TNM stage, higher clinical stage, and shorter overall survival. The expression of miR-1231 was predicted as a prognostic factor for prostate cancer patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "miR-1231 Is Downregulated in Prostate Cancer with Prognostic and Functional Implications.",
                "journal": "Oncology research and treatment",
                "authors": "Wang Y, Zhang Q, Guo B, Feng J, Zhao D",
                "date": "2019-12-11",
                "evidence": [],
                "reference": [
                    {
                        "id": "31822000",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31822000"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4851",
        "collision": 1
    },
    {
        "biomarker_id": "AA4852-1",
        "biomarker_component": [
            {
                "biomarker": "increased YAP1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Yes-associated protein 1",
                    "synonyms": [
                        {
                            "synonym": "Yes-associated protein 1"
                        },
                        {
                            "synonym": "Protein yorkie homolog"
                        },
                        {
                            "synonym": "Yes-associated protein YAP65 homolog"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P46937",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "pancreas",
                        "id": "UBERON:0001264",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001264",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32054505",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32054505",
                        "evidence_list": [
                            {
                                "evidence": "Mass spectrometry based proteomics showed that YAP1 is the top upregulated protein in pancreatic cancer tissue when compared to normal controls (log2 fold change 6.4; p = 5E-06). Prognostic analysis of YAP1 demonstrated a significant correlation between mRNA expression level data and reduced overall survival (p = 0.001). In addition, TMA and immunohistochemistry analysis suggested that YAP1 protein expression is an independent predictor of poor overall survival [hazard ratio (HR) 1.870, 95% confidence interval (CI) 1.224-2.855, p = 0.004], as well as reduced disease-free survival (HR 1.950, 95% CI 1.299-2.927, p = 0.001). Bioinformatic analyses coupled with in vitro assays indicated that YAP1 is involved in the transcriptional control of target genes, associated with extracellular matrix remodeling, which could be modified by selected substances disrupting the YAP1-TEAD interaction. We demonstrate that YAP1 is an independent prognostic marker associated with recurrence and unfavorable survival in pancreatic cancer. We also show that inhibition of YAP1/TEAD interaction interferes with the expression of AREG, CTGF, CYR61, and MSLN suggesting that YAP1 transcriptional activity may affect the development and persistence of a fibrotic tumor microenvironment. YAP1 is thus considered as a clinically and biologically relevant biomarker derived from pancreatic cancer tissue."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1793",
            "recommended_name": {
                "id": "DOID:1793",
                "name": "pancreatic cancer",
                "description": "An endocrine gland cancer located_in the pancreas.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1793"
            },
            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32054505",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32054505",
                "evidence_list": [
                    {
                        "evidence": "Mass spectrometry based proteomics showed that YAP1 is the top upregulated protein in pancreatic cancer tissue when compared to normal controls (log2 fold change 6.4; p = 5E-06). Prognostic analysis of YAP1 demonstrated a significant correlation between mRNA expression level data and reduced overall survival (p = 0.001). In addition, TMA and immunohistochemistry analysis suggested that YAP1 protein expression is an independent predictor of poor overall survival [hazard ratio (HR) 1.870, 95% confidence interval (CI) 1.224-2.855, p = 0.004], as well as reduced disease-free survival (HR 1.950, 95% CI 1.299-2.927, p = 0.001). Bioinformatic analyses coupled with in vitro assays indicated that YAP1 is involved in the transcriptional control of target genes, associated with extracellular matrix remodeling, which could be modified by selected substances disrupting the YAP1-TEAD interaction. We demonstrate that YAP1 is an independent prognostic marker associated with recurrence and unfavorable survival in pancreatic cancer. We also show that inhibition of YAP1/TEAD interaction interferes with the expression of AREG, CTGF, CYR61, and MSLN suggesting that YAP1 transcriptional activity may affect the development and persistence of a fibrotic tumor microenvironment. YAP1 is thus considered as a clinically and biologically relevant biomarker derived from pancreatic cancer tissue."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "YAP1 is an independent prognostic marker in pancreatic cancer and associated with extracellular matrix remodeling.",
                "journal": "Journal of translational medicine",
                "authors": "Zhou Q, Bauden M, Andersson R, Hu D, Marko-Varga G, Xu J, Sasor A, Dai H, Paw\u0142owski K, Said Hilmersson K, Chen X, Ansari D",
                "date": "2020-02-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32054505",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32054505"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4852",
        "collision": 1
    },
    {
        "biomarker_id": "AN4131-1",
        "biomarker_component": [
            {
                "biomarker": "increased ASPM level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Abnormal spindle-like microcephaly-associated protein",
                    "synonyms": [
                        {
                            "synonym": "Abnormal spindle protein homolog"
                        },
                        {
                            "synonym": "Asp homolog"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8IZT6",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urinary bladder",
                        "id": "UBERON:0001255",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001255",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32274607",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32274607",
                        "evidence_list": [
                            {
                                "evidence": "The upregulation of ASPM expression and the downregulation of TEF expression were observed in bladder cancer tissues compared to adjacent normal tissues, and these levels were correlated with high-grade tumors, advanced stage disease and the presence of metastasis. Both genes had the ability to predict metastatic association with sensitivity (84.62%) and specificity (68.42%; *P < 0.001) for the ASPM gene and for the TEF gene with sensitivity (80.77%) and specificity (78.95%; *P < 0.001). Additionally, Kaplan-Meier survival analysis indicated that elevated ASPM expression levels and reduced TEF expression levels significantly correlated with decreased overall survival and progression-free survival. The current analysis concludes that ASPM and TEF expressions might be used as potential biomarkers in bladder cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:11054",
            "recommended_name": {
                "id": "DOID:11054",
                "name": "urinary bladder cancer",
                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11054"
            },
            "synonyms": [
                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32274607",
                "database": "Pubmed",
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                    }
                ],
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                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Evaluation of ASPM and TEF Gene Expressions as Potential Biomarkers for Bladder Cancer.",
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                        ],
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                                "tag": "biomarker"
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                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Evaluation of ASPM and TEF Gene Expressions as Potential Biomarkers for Bladder Cancer.",
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                                "evidence": "Increased levels of urinary A1AT glycoprotein were indicative of the presence of bladder cancer (P < 0.0001) and augmented voided urine cytology results. Application of glycoprotein enrichment provided novel candidates for further investigation as biomarkers for the noninvasive detection of bladder cancer."
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            {
                "title": "Urinary glycoprotein biomarker discovery for bladder cancer detection using LC/MS-MS and label-free quantification.",
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                ],
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                "title": "Evaluation of osteopontin as biomarker for pancreatic adenocarcinoma.",
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                        "id": "11926891",
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                                "evidence": "Osteopontin levels in plasma were significantly higher (P<.001) in 51 patients with epithelial ovarian cancer (486.5 ng/mL) compared with those of 107 healthy controls (147.1 ng/mL), 46 patients with benign ovarian disease (254.4 ng/mL), and 47 patients with other gynecologic cancers (260.9 ng/mL)."
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                        "evidence": "Osteopontin levels in plasma were significantly higher (P<.001) in 51 patients with epithelial ovarian cancer (486.5 ng/mL) compared with those of 107 healthy controls (147.1 ng/mL), 46 patients with benign ovarian disease (254.4 ng/mL), and 47 patients with other gynecologic cancers (260.9 ng/mL)."
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                "title": "Osteopontin as a potential diagnostic biomarker for ovarian cancer.",
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                "biomarker": "increased TNFSF9 level",
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                    "id": "DOID:1793",
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                        "evidence": "TNFSF9 mRNA expression level was remarkably increased in pancreatic cancer than that in normal tissues (both P < 0.05). In addition, high TNFSF9 expression was significantly related to poor overall survival (OS) and relapse-free survival (RFS) in pancreatic cancer (OS HR = 2.02, P = 0.0012; RFS HR = 2.63, P = 0.022). These findings indicate that TNFSF9 can be serves as a prognostic biomarker in determining the prognosis of pancreatic cancer and is associated with different types of phenotypes of immune cell infiltration."
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                "title": "TNFSF9 Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Pancreatic Cancer.",
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                "authors": "Wu J, Wang Y, Jiang Z",
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                        "evidence": "Elevated ether lipid metabolism is one of the characteristics of cancer cells. NCEH1 is involved in ether lipid metabolism and is robustly expressed in macrophages. We also found that the expression level of NCEH1 in patients with pancreatic cancer is related to the N classification (P = 0.039), indicating that patients with local lymph node involvement express higher levels of NCEH1. From the differential analysis, the expression level of NCEH1 in cancer tissues was significantly higher than that in healthy tissues (P = 1.732 e-50) Wilcoxon test indicated that the expression level of NCEH1 is related to the N classification in patients with pancreatic cancer (P = 0.039). Further, NCEH1 expression was higher in patients with regional lymph node involvement than in the control group."
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                "title": "NCEH1 may be a prognostic biomarker for pancreatic cancer.",
                "journal": "International journal of clinical and experimental pathology",
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                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32663515",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32663515",
                "evidence_list": [
                    {
                        "evidence": "This exploratory study, using SWATH-MS analysis, identified potential prognostic biomarkers for PDAC in plasma (PTPRM and PTPRB) and plasma derived microparticles (PSMD11). Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression.",
                "journal": "Biochimica et biophysica acta. General subjects",
                "authors": "Sahni S, Krisp C, Molloy MP, Nahm C, Maloney S, Gillson J, Gill AJ, Samra J, Mittal A",
                "date": "2020-07-15",
                "evidence": [],
                "reference": [
                    {
                        "id": "32663515",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32663515"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4861",
        "collision": 1
    },
    {
        "biomarker_id": "AN4136-1",
        "biomarker_component": [
            {
                "biomarker": "increased TYMS level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Thymidylate synthase",
                    "synonyms": [
                        {
                            "synonym": "TS"
                        },
                        {
                            "synonym": "TSase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04818",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "pancreas",
                        "id": "UBERON:0001264",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001264",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31861032",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31861032",
                        "evidence_list": [
                            {
                                "evidence": "Upregulation of TYMS was associated with poor RFS in patients with pancreatic cancer (P = .021). Subgroup analysis revealed that TYMS upregulation was associated with poor RFS in clinical stage I/II (P = .0038). Higher TYMS expression was associated with worse OS (P = .014) (Fig. 3). Subgroup analysis further indicated that high TYMS expression significantly affected the OS of patients in histologic grades G1/G2 (P = .025) and clinical stages I/II (P = .023). patients with pancreatic cancer, higher TYMS expression is associated with advanced clinical stages and undesirable prognosis, and that TYMS could be used as a biomarker for diagnostic and prognostic evaluation in patients with pancreatic cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1793",
            "recommended_name": {
                "id": "DOID:1793",
                "name": "pancreatic cancer",
                "description": "An endocrine gland cancer located_in the pancreas.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1793"
            },
            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31861032",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31861032",
                "evidence_list": [
                    {
                        "evidence": "Upregulation of TYMS was associated with poor RFS in patients with pancreatic cancer (P = .021). Subgroup analysis revealed that TYMS upregulation was associated with poor RFS in clinical stage I/II (P = .0038). Higher TYMS expression was associated with worse OS (P = .014) (Fig. 3). Subgroup analysis further indicated that high TYMS expression significantly affected the OS of patients in histologic grades G1/G2 (P = .025) and clinical stages I/II (P = .023). patients with pancreatic cancer, higher TYMS expression is associated with advanced clinical stages and undesirable prognosis, and that TYMS could be used as a biomarker for diagnostic and prognostic evaluation in patients with pancreatic cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "TYMS presents a novel biomarker for diagnosis and prognosis in patients with pancreatic cancer.",
                "journal": "Medicine",
                "authors": "Fu Z, Jiao Y, Li Y, Ji B, Jia B, Liu B",
                "date": "2019-12-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "31861032",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31861032"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4136",
        "collision": 1
    },
    {
        "biomarker_id": "AN4137-1",
        "biomarker_component": [
            {
                "biomarker": "increased ST6GALNAC6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Alpha-N-acetylgalactosaminide alpha-2,6-sialyltransferase 6",
                    "synonyms": [
                        {
                            "synonym": "GalNAc alpha-2,6-sialyltransferase VI"
                        },
                        {
                            "synonym": "ST6GalNAc VI"
                        },
                        {
                            "synonym": "ST6GalNAcVI"
                        },
                        {
                            "synonym": "hST6GalNAc VI"
                        },
                        {
                            "synonym": "Sialyltransferase 7F"
                        },
                        {
                            "synonym": "SIAT7-F"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q969X2",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30131287",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30131287",
                        "evidence_list": [
                            {
                                "evidence": "In patients with pancreatic cancer, 8.4% of subjects were Lewis (-), but only 41.9% of Lewis (-) subjects had CA19-9 values </= 2 U/mL. CA19-9 was even elevated (>37 U/mL) in 27.4% of Lewis (-) patients. CA19-9 can retain its utility as a biomarker in these patients in spite of Lewis (-) genotype. The area under the receiver operating characteristic (ROC) curve for CA19-9 as a diagnostic biomarker was 0.842 in Lewis (-) patients with pancreatic cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1793",
            "recommended_name": {
                "id": "DOID:1793",
                "name": "pancreatic cancer",
                "description": "An endocrine gland cancer located_in the pancreas.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1793"
            },
            "synonyms": [
                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30131287",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30131287",
                "evidence_list": [
                    {
                        "evidence": "In patients with pancreatic cancer, 8.4% of subjects were Lewis (-), but only 41.9% of Lewis (-) subjects had CA19-9 values </= 2 U/mL. CA19-9 was even elevated (>37 U/mL) in 27.4% of Lewis (-) patients. CA19-9 can retain its utility as a biomarker in these patients in spite of Lewis (-) genotype. The area under the receiver operating characteristic (ROC) curve for CA19-9 as a diagnostic biomarker was 0.842 in Lewis (-) patients with pancreatic cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "New observations on the utility of CA19-9 as a biomarker in Lewis negative patients with pancreatic cancer.",
                "journal": "Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]",
                "authors": "Luo G, Fan Z, Cheng H, Jin K, Guo M, Lu Y, Yang C, Fan K, Huang Q, Long J, Liu L, Xu J, Lu R, Ni Q, Warshaw AL, Liu C, Yu X",
                "date": "2018-08-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "30131287",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30131287"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4137",
        "collision": 1
    },
    {
        "biomarker_id": "AA4864-1",
        "biomarker_component": [
            {
                "biomarker": "increased ARHGDIB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Rho GDP dissociation inhibitor protein",
                    "synonyms": [
                        {
                            "synonym": "Rho GDI 2"
                        },
                        {
                            "synonym": "Ly-GDI"
                        },
                        {
                            "synonym": "Rho-GDI beta"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P52566",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32176626",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32176626",
                        "evidence_list": [
                            {
                                "evidence": "We observed the expression of ARHGDIB is significantly higher in human breast cancer tissues compared with the benign tissues. ARHGDIB expression was positively correlated with tumor size, lymph node metastasis and TNM stage in breast cancer patients. Hence, our results suggested the significance and predictive role of ARHGDIB in breast cancer. High expression of ARHGDIB indicated the poor prognosis for breast cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32176626",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32176626",
                "evidence_list": [
                    {
                        "evidence": "We observed the expression of ARHGDIB is significantly higher in human breast cancer tissues compared with the benign tissues. ARHGDIB expression was positively correlated with tumor size, lymph node metastasis and TNM stage in breast cancer patients. Hence, our results suggested the significance and predictive role of ARHGDIB in breast cancer. High expression of ARHGDIB indicated the poor prognosis for breast cancer patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Systematic investigation of biomarker-like role of ARHGDIB in breast cancer.",
                "journal": "Cancer biomarkers : section A of Disease markers",
                "authors": "Wang X, Bi X, Huang X, Wang B, Guo Q, Wu Z",
                "date": "2020-03-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "32176626",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32176626"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4864",
        "collision": 1
    },
    {
        "biomarker_id": "AA4865-1",
        "biomarker_component": [
            {
                "biomarker": "decreased SMPD1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Acid sphingomyelinase",
                    "synonyms": [
                        {
                            "synonym": "Acid sphingomyelinase"
                        },
                        {
                            "synonym": "aSMase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17405",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "ovary",
                        "id": "UBERON:0000992",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000992",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26125272",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26125272",
                        "evidence_list": [
                            {
                                "evidence": "The levels of ASM were reducing with the development of ovarian cancer. ASM is higher expressed in normal cell than that in ovarian cancer, and can be a negative biomarker for the diagnosis of ovarian cancer. ASM can be developed a new drug for the ovarian cancer therapy."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26125272",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26125272",
                "evidence_list": [
                    {
                        "evidence": "The levels of ASM were reducing with the development of ovarian cancer. ASM is higher expressed in normal cell than that in ovarian cancer, and can be a negative biomarker for the diagnosis of ovarian cancer. ASM can be developed a new drug for the ovarian cancer therapy."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Acid sphingomyelinase, a novel negative biomarker of ovarian cancer.",
                "journal": "European review for medical and pharmacological sciences",
                "authors": "Dai SY, Liu JJ, Sun XF, Wang N",
                "date": "2015-07-01",
                "evidence": [],
                "reference": [
                    {
                        "id": "26125272",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26125272"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4865",
        "collision": 1
    },
    {
        "biomarker_id": "AN4138-1",
        "biomarker_component": [
            {
                "biomarker": "increased NFE2L2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Nuclear factor erythroid 2-related factor 2",
                    "synonyms": [
                        {
                            "synonym": "NF-E2-related factor 2"
                        },
                        {
                            "synonym": "NFE2-related factor 2"
                        },
                        {
                            "synonym": "Nrf-2"
                        },
                        {
                            "synonym": "HEBP1"
                        },
                        {
                            "synonym": "Nuclear factor, erythroid derived 2, like 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q16236",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32871287",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32871287",
                        "evidence_list": [
                            {
                                "evidence": "High NRF2 was associated with worse disease free survival (DFS) and/or overall survival (OS) in all datasets. NRF2 is shown to be a consistent, robust prognostic biomarker across all stages of colorectal cancer with additional clinical value to current known prognostic biomarkers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "32871287",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32871287",
                "evidence_list": [
                    {
                        "evidence": "High NRF2 was associated with worse disease free survival (DFS) and/or overall survival (OS) in all datasets. NRF2 is shown to be a consistent, robust prognostic biomarker across all stages of colorectal cancer with additional clinical value to current known prognostic biomarkers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer.",
                "journal": "Cancer genetics",
                "authors": "O'Cathail SM, Wu CH, Lewis A, Holmes C, Hawkins MA, Maughan T",
                "date": "2020-09-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "32871287",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32871287"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4138",
        "collision": 1
    },
    {
        "biomarker_id": "AN4139-1",
        "biomarker_component": [
            {
                "biomarker": "increased KRT15 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Keratin-15",
                    "synonyms": [
                        {
                            "synonym": "Cytokeratin-15"
                        },
                        {
                            "synonym": "CK-15"
                        },
                        {
                            "synonym": "Keratin-15"
                        },
                        {
                            "synonym": "K15"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P19012",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31884802",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31884802",
                        "evidence_list": [
                            {
                                "evidence": "QRT-PCR results revealed that the mRNA levels of KRT15 in colorectal cancer tissues were significantly higher compared with those in normal tissues (p<0.0001). The rates of KRT15 high-expression in colorectal cancer and normal tissues were 57.1% and 8.9%, respectively, and the difference was statistically significant (p<0.0001). KRT15 high-expression correlated with differentiation, T stage, lymph node metastasis and clinical stage in colorectal cancer (p<0.05). KRT15 overexpression predicted poor prognosis and could be used as an independent prognostic factor. These data indicate KRT15 is highly expressed in colorectal cancer and may serve as a prognostic biomarker."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "31884802",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31884802",
                "evidence_list": [
                    {
                        "evidence": "QRT-PCR results revealed that the mRNA levels of KRT15 in colorectal cancer tissues were significantly higher compared with those in normal tissues (p<0.0001). The rates of KRT15 high-expression in colorectal cancer and normal tissues were 57.1% and 8.9%, respectively, and the difference was statistically significant (p<0.0001). KRT15 high-expression correlated with differentiation, T stage, lymph node metastasis and clinical stage in colorectal cancer (p<0.05). KRT15 overexpression predicted poor prognosis and could be used as an independent prognostic factor. These data indicate KRT15 is highly expressed in colorectal cancer and may serve as a prognostic biomarker."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "KRT15 overexpression predicts poor prognosis in\u00a0colorectal cancer.",
                "journal": "Neoplasma",
                "authors": "Rao X, Wang J, Song HM, Deng B, Li JG",
                "date": "2019-12-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "31884802",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31884802"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4139",
        "collision": 1
    },
    {
        "biomarker_id": "AA4868-1",
        "biomarker_component": [
            {
                "biomarker": "increased MIR-135A-5P level",
                "assessed_biomarker_entity": {
                    "recommended_name": "miRNA-135a-5p",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "MRB:MIMAT0000428",
                "assessed_entity_type": "miRNA",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "27126269",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27126269",
                        "evidence_list": [
                            {
                                "evidence": "Serum miR-135a-5p expression in colorectal cancer patients was higher than that in patients with colorectal polyps and healthy controls, suggesting that serum miR-135a-5p may prove to be an important biomarker for auxiliary diagnosis of colorectal cancer. The relative expression level of serum miR-135a-5p in colorectal cancer patients, colorectal polyps patients and healthy controls was 2.451 (1.107, 4.413), 0.946 (0.401, 1.942) and 0.949 (0.194, 1.415), respectively, indicating that it was significantly higher in colorectal cancer patients than that in the other two groups (U = 351.0, 313.0, both P < 0.001). Additionally, it was significantly correlated with different degrees of tumour differentiation (U = 215.0, P = 0.029) and different tumour stages (U = 202.0, P = 0.013)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "27126269",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27126269",
                "evidence_list": [
                    {
                        "evidence": "Serum miR-135a-5p expression in colorectal cancer patients was higher than that in patients with colorectal polyps and healthy controls, suggesting that serum miR-135a-5p may prove to be an important biomarker for auxiliary diagnosis of colorectal cancer. The relative expression level of serum miR-135a-5p in colorectal cancer patients, colorectal polyps patients and healthy controls was 2.451 (1.107, 4.413), 0.946 (0.401, 1.942) and 0.949 (0.194, 1.415), respectively, indicating that it was significantly higher in colorectal cancer patients than that in the other two groups (U = 351.0, 313.0, both P < 0.001). Additionally, it was significantly correlated with different degrees of tumour differentiation (U = 215.0, P = 0.029) and different tumour stages (U = 202.0, P = 0.013)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum microRNA-135a-5p as an auxiliary diagnostic biomarker for colorectal cancer.",
                "journal": "Annals of clinical biochemistry",
                "authors": "Wang Q, Zhang H, Shen X, Ju S",
                "date": "2016-04-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "27126269",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27126269"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4868",
        "collision": 1
    },
    {
        "biomarker_id": "AA4869-1",
        "biomarker_component": [
            {
                "biomarker": "decreased B3GALT5-AS1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Putative uncharacterized protein B3GALT5-AS1",
                    "synonyms": [
                        {
                            "synonym": "B3GALT5 antisense RNA 1"
                        },
                        {
                            "synonym": "B3GALT5 antisense gene protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P59052",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32207329",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32207329",
                        "evidence_list": [
                            {
                                "evidence": "The level of B3GALT5-AS1 in CRC patients was significantly lower than that of healthy patients (p < 0.0001). B3GALT5-AS1 may be served as a diagnostic marker for distinguishing CRC patients from healthy people. Further exploration validated that high serum B3GALT5-AS1 level was related to tumor node metastasis (TNM) stage (p = 0.008) and histological differentiation (p = 0.027). Compared with the healthy control group, AUCROC of serum B3GALT5-AS1 in the CRC group was 0.762 with 95% CI: 0.698-0.826 (p < 0.0001)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "32207329",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32207329",
                "evidence_list": [
                    {
                        "evidence": "The level of B3GALT5-AS1 in CRC patients was significantly lower than that of healthy patients (p < 0.0001). B3GALT5-AS1 may be served as a diagnostic marker for distinguishing CRC patients from healthy people. Further exploration validated that high serum B3GALT5-AS1 level was related to tumor node metastasis (TNM) stage (p = 0.008) and histological differentiation (p = 0.027). Compared with the healthy control group, AUCROC of serum B3GALT5-AS1 in the CRC group was 0.762 with 95% CI: 0.698-0.826 (p < 0.0001)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum level of long noncoding RNA B3GALT5-AS1 as a diagnostic biomarker of colorectal cancer.",
                "journal": "Future oncology (London, England)",
                "authors": "Ding Y, Feng W, Ge JK, Dai L, Liu TT, Hua XY, Lu X, Ju SQ, Yu J",
                "date": "2020-03-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "32207329",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32207329"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4869",
        "collision": 1
    },
    {
        "biomarker_id": "AN4460-1",
        "biomarker_component": [
            {
                "biomarker": "measured CRP, ALB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "C-reactive protein to Albumin ratio",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02741",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32279124",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124",
                        "evidence_list": [
                            {
                                "evidence": "Patients with CAR (C-reactive protein/albumin ratios) were predictors for overall survival (OS). Different analysis showed that patients with postoperative complications, preoperative NLR, and postoperative CAR, were more subject to recurrence-free survival (RFS). It showed that patients who did not receive chemotherapy with CAR >/= 0.035 had a shorter RFS and OS than those who did receive chemo. The postoperative CAR is strongly associated with a poor prognosis in patients with stage III colorectal cancer. It is more readily available than other proposed prognostic scores based on inflammation markers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured CRP, ALB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "C-reactive protein to Albumin ratio",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P02768",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32279124",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124",
                        "evidence_list": [
                            {
                                "evidence": "Patients with CAR (C-reactive protein/albumin ratios) were predictors for overall survival (OS). Different analysis showed that patients with postoperative complications, preoperative NLR, and postoperative CAR, were more subject to recurrence-free survival (RFS). It showed that patients who did not receive chemotherapy with CAR >/= 0.035 had a shorter RFS and OS than those who did receive chemo. The postoperative CAR is strongly associated with a poor prognosis in patients with stage III colorectal cancer. It is more readily available than other proposed prognostic scores based on inflammation markers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "32279124",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32279124",
                "evidence_list": [
                    {
                        "evidence": "Patients with CAR (C-reactive protein/albumin ratios) were predictors for overall survival (OS). Different analysis showed that patients with postoperative complications, preoperative NLR, and postoperative CAR, were more subject to recurrence-free survival (RFS). It showed that patients who did not receive chemotherapy with CAR >/= 0.035 had a shorter RFS and OS than those who did receive chemo. The postoperative CAR is strongly associated with a poor prognosis in patients with stage III colorectal cancer. It is more readily available than other proposed prognostic scores based on inflammation markers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Postoperative C-reactive protein/albumin ratio is a biomarker of risk of recurrence and need for adjuvant chemotherapy for stage III colorectal cancer.",
                "journal": "International journal of clinical oncology",
                "authors": "Matsuoka H, Ando K, Hu Q, Zaitsu Y, Tsuda Y, Hisamatsu Y, Nakashima Y, Kimura Y, Oki E, Mori M",
                "date": "2020-04-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32279124",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124"
                    }
                ]
            },
            {
                "title": "Postoperative C-reactive protein/albumin ratio is a biomarker of risk of recurrence and need for adjuvant chemotherapy for stage III colorectal cancer.",
                "journal": "International journal of clinical oncology",
                "authors": "Matsuoka H, Ando K, Hu Q, Zaitsu Y, Tsuda Y, Hisamatsu Y, Nakashima Y, Kimura Y, Oki E, Mori M",
                "date": "2020-04-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "32279124",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32279124"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4460",
        "collision": 0
    },
    {
        "biomarker_id": "AA4870-1",
        "biomarker_component": [
            {
                "biomarker": "increased MIR-10B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "miRNA-10b",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "MRB:MI0000267",
                "assessed_entity_type": "miRNA",
                "specimen": [
                    {
                        "name": "saliva",
                        "id": "UBERON:0001836",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001836",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23560033",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23560033",
                        "evidence_list": [
                            {
                                "evidence": "miR-10b*, miR-144, miR-21, and miR-451 in saliva supernatant were significantly upregulated in patients, with sensitivities of 89.7, 92.3, 84.6, 79.5, 43.6, 89.7, and 51.3% and specificities of 57.9, 47.4, 57.9%, 57.9, 89.5, 47.4, and 84.2%, respectively. We found distinctive miRNAs for esophageal cancer in both whole saliva and saliva supernatant. These miRNAs possess discriminatory power for detection of esophageal cancer. Because saliva collection is noninvasive and convenient, salivary miRNAs show great promise as biomarkers for detection of esophageal cancer in areas at high risk."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:5041",
            "recommended_name": {
                "id": "DOID:5041",
                "name": "esophageal cancer",
                "description": "A gastrointestinal system cancer that is located_in the esophagus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_5041"
            },
            "synonyms": [
                {
                    "id": "DOID:5041",
                    "name": "Ca lower third oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of middle third of oesophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of abdominal esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
                },
                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
                    "resource": "Disease Ontology",
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                },
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                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
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                    "id": "DOID:1612",
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                {
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                    "name": "primary breast cancer",
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                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
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                },
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                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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                "id": "31030498",
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                        "evidence": "Expression of circulating miR-21 was significantly elevated in breast cancer patients compared to healthy women (median miR-21 expression levels were 7.67\u00b12.2 and 1.28\u00b10.16, respectively; p<0.0001) Patients with upregulation of circulating miR-21 were associated with poor progression-free survival (median survival 72 vs 86 weeks, respectively; log-rank (Mantel-Cox) test, p=0.049). MiR-21 expression was upregulated in breast cancer patients and might serve as a therapeutic monitoring marker."
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                ],
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                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Upregulation of Circulating MiR-21 Expression as a Potential Biomarker for Therapeutic Monitoring and Clinical Outcome in Breast Cancer.",
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                "authors": "Anwar SL, Sari DNI, Kartika AI, Fitria MS, Tanjung DS, Rakhmina D, Wardana T, Astuti I, Haryana SM, Aryandono T",
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                "biomarker": "increased MIR-21 level",
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                "assessed_biomarker_entity_id": "MRB:MI0000077",
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                                "evidence": "At enrollment, high miR-21 levels were associated with high calcitonin levels (P = .0003), lymph node metastases (P = .001), and advanced stages (P = .0003). At the end of follow-up, high miR-21 levels were associated with biochemically persistent disease (P = .0076). This study showed, in MTCs, that miR-21 regulates PDCD4 expression and also that the miR-21/PDCD4 pathway correlates with clinicopathological variables and prognosis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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        ],
        "best_biomarker_role": [
            {
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                "id": "DOID:1781",
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                    "resource": "Disease Ontology",
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                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
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            ]
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                        "evidence": "At enrollment, high miR-21 levels were associated with high calcitonin levels (P = .0003), lymph node metastases (P = .001), and advanced stages (P = .0003). At the end of follow-up, high miR-21 levels were associated with biochemically persistent disease (P = .0076). This study showed, in MTCs, that miR-21 regulates PDCD4 expression and also that the miR-21/PDCD4 pathway correlates with clinicopathological variables and prognosis."
                    }
                ],
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                    {
                        "tag": "condition"
                    }
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            }
        ],
        "citation": [
            {
                "title": "The PDCD4/miR-21 pathway in medullary thyroid carcinoma.",
                "journal": "Human pathology",
                "authors": "Pennelli G, Galuppini F, Barollo S, Cavedon E, Bertazza L, Fassan M, Guzzardo V, Pelizzo MR, Rugge M, Mian C",
                "date": "2014-10-16",
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        "collision": 1
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    {
        "biomarker_id": "AA4874-1",
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            {
                "biomarker": "increased NAS level",
                "assessed_biomarker_entity": {
                    "recommended_name": "N1-acetylspermidine",
                    "synonyms": [
                        {
                            "synonym": "N1-Acetylspermidine"
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                        {
                            "synonym": "1-N-acetylspermidine"
                        },
                        {
                            "synonym": "N-{3-[(4-aminobutyl)amino]propyl}acetamide"
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                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
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        ],
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            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
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            },
            "synonyms": [
                {
                    "id": "DOID:1612",
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                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
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                    }
                ],
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                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Analysis of polyamines as carbamoyl derivatives in urine and serum by liquid chromatography-tandem mass spectrometry.",
                "journal": "Biomedical chromatography : BMC",
                "authors": "Byun JA, Lee SH, Jung BH, Choi MH, Moon MH, Chung BC",
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                    {
                        "id": "17668437",
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    {
        "biomarker_id": "AA4875-1",
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                "biomarker": "increased DAP level",
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                    "synonyms": [
                        {
                            "synonym": "alpha,omega-propanediamine"
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                            "synonym": "trimethylenediamine"
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                            "synonym": "1,3-trimethylenediamine"
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                            "synonym": "Propane-1,3-diamine"
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                            "synonym": "propane-1,3-diamine"
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                        {
                            "synonym": "1,3-propylenediamine"
                        },
                        {
                            "synonym": "3-aminopropylamine"
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                            "synonym": "1,3-propanediamine"
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                            "synonym": "tn"
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                        {
                            "synonym": "1,3-diaminopropane"
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                        "name": "blood",
                        "id": "UBERON:0000178",
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                                "tag": "biomarker"
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                                "tag": "assessed_biomarker_entity"
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                        "evidence": "Serum samples from 30 breast cancer patients and 30 healthy female controls were tested using the procedure described in the notes section. Breast cancer patients have higher levels of N-acetylspermidine in their blood. The serum polyamines can be a helpful method in assessing the polyamine status of breast cancer patients, as well as a strong index for studying both polyamine synthesis and metabolism. The method was used for monitoring the polyamine concentration range in urine and serum samples obtained in 30 breast cancer patients and 30 age- and gender-matched normal controls. There was no significant difference between the urine of breast cancer patients and the controls in urinary polyamine levels. In contrast, the concentrations of 1,3-Dap, Put, Sp, and N-actSpd levels in serum were significantly increased in breast cancer patients."
                    }
                ],
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            {
                "title": "Analysis of polyamines as carbamoyl derivatives in urine and serum by liquid chromatography-tandem mass spectrometry.",
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                            "synonym": "1,4-Butanediamine"
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                            "synonym": "1,4-tetramethylenediamine"
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                            "synonym": "H2N(CH2)4NH2"
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                        {
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        "citation": [
            {
                "title": "Analysis of polyamines as carbamoyl derivatives in urine and serum by liquid chromatography-tandem mass spectrometry.",
                "journal": "Biomedical chromatography : BMC",
                "authors": "Byun JA, Lee SH, Jung BH, Choi MH, Moon MH, Chung BC",
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                    {
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                        {
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                            "synonym": "4,9-diaza-1,12-dodecanediamine"
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                            "synonym": "SPERMINE"
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                        {
                            "synonym": "N,N'-bis(3-aminopropyl)butane-1,4-diamine"
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                        {
                            "synonym": "N,N'-Bis(3-aminopropyl)-1,4-butanediamine"
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                },
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                        ],
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                                "tag": "biomarker"
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                                "tag": "assessed_biomarker_entity"
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                    "id": "DOID:1612",
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                    "id": "DOID:1612",
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                ],
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        "citation": [
            {
                "title": "Analysis of polyamines as carbamoyl derivatives in urine and serum by liquid chromatography-tandem mass spectrometry.",
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                "authors": "Byun JA, Lee SH, Jung BH, Choi MH, Moon MH, Chung BC",
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        "biomarker_id": "AA4878-1",
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                            "synonym": "Golgi membrane protein GP73"
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                            "synonym": "Golgi phosphoprotein 2"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8NBJ4",
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                    {
                        "name": "urine",
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                        "id": "18953438",
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                            {
                                "evidence": "Our data indicating the up-regulation of GOLM1 expression and its appearance in patients' urine suggest GOLM1 as a potential novel biomarker for clinically localized prostate cancer. our group has shown that increased GOLM1 transcript in urine, along with SPINK1 and PCA3 transcript expression, and TMPRSS2:ERG fusion status were able to predict prostate cancer outcome."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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        "best_biomarker_role": [
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                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
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                    "id": "DOID:10283",
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                {
                    "id": "DOID:10283",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
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                        "evidence": "Our data indicating the up-regulation of GOLM1 expression and its appearance in patients' urine suggest GOLM1 as a potential novel biomarker for clinically localized prostate cancer. our group has shown that increased GOLM1 transcript in urine, along with SPINK1 and PCA3 transcript expression, and TMPRSS2:ERG fusion status were able to predict prostate cancer outcome."
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                ],
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                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Golgi protein GOLM1 is a tissue and urine biomarker of prostate cancer.",
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                "authors": "Varambally S, Laxman B, Mehra R, Cao Q, Dhanasekaran SM, Tomlins SA, Granger J, Vellaichamy A, Sreekumar A, Yu J, Gu W, Shen R, Ghosh D, Wright LM, Kladney RD, Kuefer R, Rubin MA, Fimmel CJ, Chinnaiyan AM",
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                                "evidence": "DCP was significantly better than total AFP and AFP-L3 in differentiating HCC from cirrhosis, with a sensitivity of 86% and specificity of 93%. All 3 markers had a lower area under the ROC curve and lower sensitivity in the group with high versus that with low risk for HCC. DCP has the best performance characteristics of all 3 serum markers for the diagnosis of HCC. Performance of all 3 biomarkers is lower in patients with high risk for HCC. each marker had higher levels in patients with HCC compared to cirrhotic controls."
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                        ],
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                                "evidence": "DCP was more sensitive and specific than AFP for differentiating HCC from nonmalignant chronic liver disease. Four groups were studied: G1, normal healthy subjects; G2, patients with noncirrhotic chronic hepatitis; G3, patients with compensated cirrhosis; and G4, patients with histologically proven HCC. AFP levels increased progressively from G1 to G4."
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                                "evidence": "This study aimed to investigate the clinical utility of simultaneous measurement of alpha-fetoprotein (AFP) for hepatocellular carcinoma (HCC) diagnosis caused by hepatitis B virus infection. Subjects were 1,153 individuals had serum levels of AFP that were measured and clinicopathological features were determined for all subjects. Results showed that the levels of AFP were significantly higher in hepatocellular carcinoma group (550 patients, 74.18% with HBV infection) than that in other four groups (P < 0.001). Receiver operating curves (ROC) indicated the optimal cut-off value was 21 ng/mL for AFP with a sensitivity of 68.00% and specificity of 93.20%. The area under ROC curve was 0.832 for AFP."
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                        ],
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                                "tag": "biomarker"
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                    "id": "DOID:3571",
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                    {
                        "evidence": "DCP was significantly better than total AFP and AFP-L3 in differentiating HCC from cirrhosis, with a sensitivity of 86% and specificity of 93%. All 3 markers had a lower area under the ROC curve and lower sensitivity in the group with high versus that with low risk for HCC. DCP has the best performance characteristics of all 3 serum markers for the diagnosis of HCC. Performance of all 3 biomarkers is lower in patients with high risk for HCC. each marker had higher levels in patients with HCC compared to cirrhotic controls."
                    }
                ],
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                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "19362088",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/19362088",
                "evidence_list": [
                    {
                        "evidence": "AFP was more sensitive than DCP and AFP-L3 for the diagnosis of early and very early stage HCC."
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                ],
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                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "12717392",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/12717392",
                "evidence_list": [
                    {
                        "evidence": "DCP was more sensitive and specific than AFP for differentiating HCC from nonmalignant chronic liver disease. Four groups were studied: G1, normal healthy subjects; G2, patients with noncirrhotic chronic hepatitis; G3, patients with compensated cirrhosis; and G4, patients with histologically proven HCC. AFP levels increased progressively from G1 to G4."
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                ],
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            {
                "id": "25382443",
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                    {
                        "evidence": "This study aimed to investigate the clinical utility of simultaneous measurement of alpha-fetoprotein (AFP) for hepatocellular carcinoma (HCC) diagnosis caused by hepatitis B virus infection. Subjects were 1,153 individuals had serum levels of AFP that were measured and clinicopathological features were determined for all subjects. Results showed that the levels of AFP were significantly higher in hepatocellular carcinoma group (550 patients, 74.18% with HBV infection) than that in other four groups (P < 0.001). Receiver operating curves (ROC) indicated the optimal cut-off value was 21 ng/mL for AFP with a sensitivity of 68.00% and specificity of 93.20%. The area under ROC curve was 0.832 for AFP."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Des-gamma-carboxyprothrombin, alpha-fetoprotein and AFP-L3 in patients with chronic hepatitis, cirrhosis and hepatocellular carcinoma.",
                "journal": "Journal of gastroenterology and hepatology",
                "authors": "Durazo FA, Blatt LM, Corey WG, Lin JH, Han S, Saab S, Busuttil RW, Tong MJ",
                "date": "2008-04-22",
                "evidence": [],
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                        "id": "18422961",
                        "type": "Pubmed",
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                ]
            },
            {
                "title": "Risk factors for hepatocellular carcinoma may impair the performance of biomarkers: a comparison of AFP, DCP, and AFP-L3.",
                "journal": "Cancer biomarkers : section A of Disease markers",
                "authors": "Volk ML, Hernandez JC, Su GL, Lok AS, Marrero JA",
                "date": "2007-05-25",
                "evidence": [],
                "reference": [
                    {
                        "id": "17522429",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17522429"
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                ]
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            {
                "title": "Alpha-fetoprotein, des-gamma carboxyprothrombin, and lectin-bound alpha-fetoprotein in early hepatocellular carcinoma.",
                "journal": "Gastroenterology",
                "authors": "Marrero JA, Feng Z, Wang Y, Nguyen MH, Befeler AS, Roberts LR, Reddy KR, Harnois D, Llovet JM, Normolle D, Dalhgren J, Chia D, Lok AS, Wagner PD, Srivastava S, Schwartz M",
                "date": "2009-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "19362088",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19362088"
                    }
                ]
            },
            {
                "title": "Des-gamma carboxyprothrombin can differentiate hepatocellular carcinoma from nonmalignant chronic liver disease in american patients.",
                "journal": "Hepatology (Baltimore, Md.)",
                "authors": "Marrero JA, Su GL, Wei W, Emick D, Conjeevaram HS, Fontana RJ, Lok AS",
                "date": "2003-04-30",
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                    {
                        "id": "12717392",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/12717392"
                    }
                ]
            },
            {
                "title": "Clinical utility of simultaneous measurement of alpha-fetoprotein and des-\u03b3-carboxy prothrombin for diagnosis of patients with hepatocellular carcinoma in China: A multi-center case-controlled study of 1,153 subjects.",
                "journal": "Bioscience trends",
                "authors": "Song P, Feng X, Inagaki Y, Song T, Zhang K, Wang Z, Zheng S, Ma K, Li Q, Kong D, Wu Q, Zhang T, Zhao X, Hasegawa K, Sugawara Y, Kokudo N, Tang W, None None",
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    {
        "biomarker_id": "AA4880-1",
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            {
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                            "synonym": "Beta-1,3-galactosyltransferase"
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                        {
                            "synonym": "Core 1 beta1,3-galactosyltransferase 1"
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                            "synonym": "Core 1 beta3-Gal-T1"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q9NS00",
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                                "evidence": "C1GALT1 expression is upregulated in HNSCC tumors and is associated with adverse clinicopathologic features. Moreover, high C1GALT1 expression predicts poor disease-free and overall survivals. For Kaplan-Meier analysis, we further classified C1GALT1 scores 0-1 and scores 2-3 as low and high expression, respectively. Results showed that high C1GALT1 expression was significantly associated with poor disease-free survival and overall survival."
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                        ],
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                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                        "evidence": "C1GALT1 expression is upregulated in HNSCC tumors and is associated with adverse clinicopathologic features. Moreover, high C1GALT1 expression predicts poor disease-free and overall survivals. For Kaplan-Meier analysis, we further classified C1GALT1 scores 0-1 and scores 2-3 as low and high expression, respectively. Results showed that high C1GALT1 expression was significantly associated with poor disease-free survival and overall survival."
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                ],
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                "title": "C1GALT1 predicts poor prognosis and is a potential therapeutic target in head and neck cancer.",
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                        ],
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                                "tag": "biomarker"
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                    "id": "DOID:5041",
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                    "id": "DOID:5041",
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                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
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                },
                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_5041"
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                    }
                ],
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                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Leucine-Rich Alpha-2-Glycoprotein 1 in Serum Is a Possible Biomarker to Predict Response to Preoperative Chemoradiotherapy for Esophageal Cancer.",
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                                "evidence": "Moreover, KIF20A expression was significantly associated with the poor prognosis of patients with breast cancer. A multivariate analysis indicated that KIF20A expression was an independent prognostic factor for patients with breast cancer."
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                                "tag": "biomarker"
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                    "id": "DOID:1612",
                    "name": "mammary tumor",
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                    "id": "DOID:1612",
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                "title": "Characterization of KIF20A as a prognostic biomarker and therapeutic target for different subtypes of breast cancer.",
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                                "tag": "biomarker"
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                {
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                    "id": "DOID:10283",
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                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
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        "evidence_source": [
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                        "evidence": "Distinct KLK4 immunostaining was observed with both antibodies in cancerous glandular epithelial cells, but not in surrounding stromal cells. KLK4 expression was lower in stage pT3q4 than in pT1q2 tumors, which was highly significant when employing pAb 617A. Thus, the results indicate that KLK4, which is expressed in the healthy prostate, is upregulated in early-stage but not late-stage prostate cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "Polyclonal antibodies against kallikrein-related peptidase 4 (KLK4): immunohistochemical assessment of KLK4 expression in healthy tissues and prostate cancer.",
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        "biomarker_id": "AA4884-1",
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                "biomarker": "increased CDH1 level",
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                            "synonym": "Uvomorulin"
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                "assessed_biomarker_entity_id": "UPKB:P12830",
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                        ],
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        "citation": [
            {
                "title": "Assessment of a fragment of e-cadherin as a serum biomarker with predictive value for prostate cancer.",
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                                "tag": "biomarker"
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                        "evidence": "CDH1 somatic alterations were found in approximately 30% of all patients with GC. CDH1 somatic alterations exist in all clinical settings and histotypes of GC and associate with different survival rates. Their screening at GC diagnosis may predict patient prognosis and is likely to improve management of patients with this disease."
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                "title": "Somatic mutations and deletions of the E-cadherin gene predict poor survival of patients with gastric cancer.",
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                        "evidence": "When the measured levels of 5hmC2 in white blood cells were lower the patients showed significantly different distributions of prostate cancer conditions. Patients with low and elevated 5hmC content showed significantly different distributions across different prostate conditions. The distribution of these patients in prostate cancer was similar to that observed in healthy subjects, while for atypical small acinar proliferation, most patients had increased 5hmC levels. This 5hmC-based biomarker had a lower performance in the detection of prostate cancer in comparison with blood levels of prostate-specific antigen when using a cut-off point of 2.5 nanograms per milliliter. Above this threshold value, however, this biomarker allowed us to distinguish almost three-quarters of patients with prostate cancer from controls."
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                "title": "Clinical Significance of Measuring Global Hydroxymethylation of White Blood Cell DNA in Prostate Cancer: Comparison to PSA in a Pilot Exploratory Study.",
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                                "evidence": "Since most cancer-related deaths are due to metastasis, we hypothesized that ATOX1 mRNA expression may be associated with breast cancer disease progression and thus, a prognostic biomarker in breast cancer. Our results indicate ATOX1 expression levels as a potential prognostic biomarker for ER-positive subtypes and early stages of breast cancer."
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                        "evidence": "Since most cancer-related deaths are due to metastasis, we hypothesized that ATOX1 mRNA expression may be associated with breast cancer disease progression and thus, a prognostic biomarker in breast cancer. Our results indicate ATOX1 expression levels as a potential prognostic biomarker for ER-positive subtypes and early stages of breast cancer."
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                "title": "Evaluation of copper chaperone ATOX1 as prognostic biomarker in breast cancer.",
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                    "name": "malignant Ovarian tumor",
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                        "evidence": "Reduction of miR-193b was found in ovarian cancer and its lower expression was associated with poorer prognosis. Tissue miR-193b showed potential as novel biomarker for ovarian cancer. The results showed that the miR-193b expression was significantly down-regulated in ovarian cancer cell lines and tumor tissues compared with normal controls."
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                "title": "Tissue miR-193b as a Novel Biomarker for Patients with Ovarian Cancer.",
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                                "evidence": "DCP was significantly better than total AFP and AFP-L3 in differentiating HCC from cirrhosis, with a sensitivity of 86% and specificity of 93%. All 3 markers had a lower area under the ROC curve and lower sensitivity in the group with high versus that with low risk for HCC. DCP has the best performance characteristics of all 3 serum markers for the diagnosis of HCC. Performance of all 3 biomarkers is lower in patients with high risk for HCC. Each marker had higher levels in patients with HCC compared to cirrhotic controls."
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                                "evidence": "In the phase II cohort, with a median follow-up of 15.8 years, low/absent AZGP1 expression was an independent predictor of poor BRFS (HR, 1.4; 95% CI, 1.1-1.9; P = 0.03), MFS (HR, 2.8; 95% CI, 1.2-6.6; P = 0.02) and PCSS (HR, 3.8; 95% CI, 1.5-9.5; P = 0.005). These results were validated in our prospective phase III cohort. Low/absent AZGP1 expression independently predicted for BRFS (HR, 1.9; 95% CI, 1.1-3.3; P = 0.02), with shorter MFS (HR, 2.0; 95% CI, 1.1-3.4; P = 0.02). AZGP1 improved the discriminatory value when incorporated into existing prognostic risk models."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "28486686",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28486686",
                "evidence_list": [
                    {
                        "evidence": "In the phase II cohort, with a median follow-up of 15.8 years, low/absent AZGP1 expression was an independent predictor of poor BRFS (HR, 1.4; 95% CI, 1.1-1.9; P = 0.03), MFS (HR, 2.8; 95% CI, 1.2-6.6; P = 0.02) and PCSS (HR, 3.8; 95% CI, 1.5-9.5; P = 0.005). These results were validated in our prospective phase III cohort. Low/absent AZGP1 expression independently predicted for BRFS (HR, 1.9; 95% CI, 1.1-3.3; P = 0.02), with shorter MFS (HR, 2.0; 95% CI, 1.1-3.4; P = 0.02). AZGP1 improved the discriminatory value when incorporated into existing prognostic risk models."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A prospective multicentre phase III validation study of AZGP1 as a biomarker in localized prostate cancer.",
                "journal": "Annals of oncology : official journal of the European Society for Medical Oncology",
                "authors": "Zhang AY, Grogan JS, Mahon KL, Rasiah K, Sved P, Eisinger DR, Boulas J, Vasilaris A, Henshall SM, Stricker PD, Kench JG, Horvath LG",
                "date": "2017-05-10",
                "evidence": [],
                "reference": [
                    {
                        "id": "28486686",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28486686"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4195",
        "collision": 1
    },
    {
        "biomarker_id": "AA4896-2",
        "biomarker_component": [
            {
                "biomarker": "increased Th17 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "T Helper cytokine 17",
                    "synonyms": [
                        {
                            "synonym": "Zn-alpha-2-GP"
                        },
                        {
                            "synonym": "Zn-alpha-2-glycoprotein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P25311",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31428522",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31428522",
                        "evidence_list": [
                            {
                                "evidence": "Greater varieties of helper t cell can infiltrate a breast cancer microenvironment. We found that Th17, was the most favorable prognostic signature in a subset of TN breast cancer with low T cell infiltrate. We provide evidence that a Th17 signature is associated with good prognosis in TN breast cancer specifically in T-low tumors."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31428522",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31428522",
                "evidence_list": [
                    {
                        "evidence": "Greater varieties of helper t cell can infiltrate a breast cancer microenvironment. We found that Th17, was the most favorable prognostic signature in a subset of TN breast cancer with low T cell infiltrate. We provide evidence that a Th17 signature is associated with good prognosis in TN breast cancer specifically in T-low tumors."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A multivariate Th17 metagene for prognostic stratification in T cell non-inflamed triple negative breast cancer.",
                "journal": "Oncoimmunology",
                "authors": "Faucheux L, Grandclaudon M, Perrot-Dock\u00e8s M, Sirven P, Berger F, Hamy AS, Fourchotte V, Vincent-Salomon A, Mechta-Grigoriou F, Reyal F, Scholer-Dahirel A, Guillot-Delost M, Soumelis V",
                "date": "2019-08-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "31428522",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31428522"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4896",
        "collision": 1
    },
    {
        "biomarker_id": "AN4196-1",
        "biomarker_component": [
            {
                "biomarker": "increased LMNB1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lamin B1",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P20700",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "19522540",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19522540",
                        "evidence_list": [
                            {
                                "evidence": "Lamin B1 (LMNB1) mRNA was detected in 16 of 21 (76%) plasma from patients with early stage HCC and 12 of 14 (86%) from patients with late stage HCC, whereas only 19% and 17% in cirrhosis and normal subjects demonstrated LMNB1, respectively. The positivity rate of circulating LMNB1 mRNA gradually increased with tumor stages progression and it was significantly higher in HCC than in cirrhosis and normal individuals (p < 0.05 and p < 0.01, respectively). The overall detection sensitivity of LMNB1 mRNA for Hepatocellular carcinoma HCC was 80 and the specificity was 82%, where in particular for the detection of early stage and late stage HCCs the sensitivity is 76% and 86%, respectively."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:3571",
            "recommended_name": {
                "id": "DOID:3571",
                "name": "liver cancer",
                "description": "A hepatobiliary system cancer that is located_in the liver.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_3571"
            },
            "synonyms": [
                {
                    "id": "DOID:3571",
                    "name": "resectable malignant neoplasm of the liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "primary liver cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, not specified as primary or secondary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "Resectable malignant neoplasm of Liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "non-resectable primary hepatic malignant neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant tumor of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver, primary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "Ca liver - primary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "primary malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "hepatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "hepatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant hepato-biliary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                },
                {
                    "id": "DOID:3571",
                    "name": "malignant neoplasm of liver",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_3571"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "19522540",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/19522540",
                "evidence_list": [
                    {
                        "evidence": "Lamin B1 (LMNB1) mRNA was detected in 16 of 21 (76%) plasma from patients with early stage HCC and 12 of 14 (86%) from patients with late stage HCC, whereas only 19% and 17% in cirrhosis and normal subjects demonstrated LMNB1, respectively. The positivity rate of circulating LMNB1 mRNA gradually increased with tumor stages progression and it was significantly higher in HCC than in cirrhosis and normal individuals (p < 0.05 and p < 0.01, respectively). The overall detection sensitivity of LMNB1 mRNA for Hepatocellular carcinoma HCC was 80 and the specificity was 82%, where in particular for the detection of early stage and late stage HCCs the sensitivity is 76% and 86%, respectively."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Circulating Lamin B1 (LMNB1) biomarker detects early stages of liver cancer in patients.",
                "journal": "Journal of proteome research",
                "authors": "Sun S, Xu MZ, Poon RT, Day PJ, Luk JM",
                "date": "2009-06-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "19522540",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19522540"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4196",
        "collision": 1
    },
    {
        "biomarker_id": "AA4899-1",
        "biomarker_component": [
            {
                "biomarker": "increased MKI67 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "KI67 antigen",
                    "synonyms": [
                        {
                            "synonym": "Antigen identified by monoclonal antibody Ki-67"
                        },
                        {
                            "synonym": "Antigen KI-67"
                        },
                        {
                            "synonym": "Antigen Ki67"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P46013",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23645542",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23645542",
                        "evidence_list": [
                            {
                                "evidence": "The data indicated that patients whose tumors contained high levels of Ki67 effectively responded to anthracycline and taxane-containing neoadjuvant chemotherapy. Ki67 LI was a predictive marker for pCR, and all patients whose tumors achieved pathologic Complete Response (pCR) are currently disease-free."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "23645542",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/23645542",
                "evidence_list": [
                    {
                        "evidence": "The data indicated that patients whose tumors contained high levels of Ki67 effectively responded to anthracycline and taxane-containing neoadjuvant chemotherapy. Ki67 LI was a predictive marker for pCR, and all patients whose tumors achieved pathologic Complete Response (pCR) are currently disease-free."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prognostic significance of pathologic complete response and Ki67 expression after neoadjuvant chemotherapy in breast cancer.",
                "journal": "Breast cancer (Tokyo, Japan)",
                "authors": "Yoshioka T, Hosoda M, Yamamoto M, Taguchi K, Hatanaka KC, Takakuwa E, Hatanaka Y, Matsuno Y, Yamashita H",
                "date": "2013-05-07",
                "evidence": [],
                "reference": [
                    {
                        "id": "23645542",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23645542"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4899",
        "collision": 1
    },
    {
        "biomarker_id": "AA4900-1",
        "biomarker_component": [
            {
                "biomarker": "increased AQP1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Aquaporin-1",
                    "synonyms": [
                        {
                            "synonym": "AQP-1"
                        },
                        {
                            "synonym": "Aquaporin-CHIP"
                        },
                        {
                            "synonym": "Urine water channel"
                        },
                        {
                            "synonym": "Water channel protein for red blood cells and kidney proximal tubule"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P29972",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "20375178",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20375178",
                        "evidence_list": [
                            {
                                "evidence": "The AQP1 concentrations in patients with either clear cell or papillary carcinoma were significantly greater and clearly separated from those in the nonnephrectomy surgical control patients and the healthy individuals. High concentration of AQP1 in urine demonstrated 100% sensitivity and 100% specificity in detecting renal cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20375178",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20375178",
                "evidence_list": [
                    {
                        "evidence": "The AQP1 concentrations in patients with either clear cell or papillary carcinoma were significantly greater and clearly separated from those in the nonnephrectomy surgical control patients and the healthy individuals. High concentration of AQP1 in urine demonstrated 100% sensitivity and 100% specificity in detecting renal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Urinary biomarkers for the early diagnosis of kidney cancer.",
                "journal": "Mayo Clinic proceedings",
                "authors": "Morrissey JJ, London AN, Luo J, Kharasch ED",
                "date": "2010-04-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "20375178",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20375178"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4900",
        "collision": 1
    },
    {
        "biomarker_id": "AA4901-1",
        "biomarker_component": [
            {
                "biomarker": "increased ADFP level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Adipophilin",
                    "synonyms": [
                        {
                            "synonym": "Adipophilin"
                        },
                        {
                            "synonym": "Adipose differentiation-related protein"
                        },
                        {
                            "synonym": "ADRP"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99541",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "20375178",
                        "database": "Pubmed",
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                            {
                                "evidence": "The ADFP concentrations in patients with either clear cell or papillary carcinoma were significantly greater and clearly separated from those in the nonnephrectomy surgical control patients and the healthy individuals. High ADFP concentration in the urine demonstrated 100% sensitivity and 100% specificity in detecting renal cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20375178",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20375178",
                "evidence_list": [
                    {
                        "evidence": "The ADFP concentrations in patients with either clear cell or papillary carcinoma were significantly greater and clearly separated from those in the nonnephrectomy surgical control patients and the healthy individuals. High ADFP concentration in the urine demonstrated 100% sensitivity and 100% specificity in detecting renal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Urinary biomarkers for the early diagnosis of kidney cancer.",
                "journal": "Mayo Clinic proceedings",
                "authors": "Morrissey JJ, London AN, Luo J, Kharasch ED",
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                "evidence": [],
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                    {
                        "id": "20375178",
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        ],
        "biomarker_canonical_id": "AA4901",
        "collision": 1
    },
    {
        "biomarker_id": "AA4902-1",
        "biomarker_component": [
            {
                "biomarker": "increased LACCER level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lactosylceramide",
                    "synonyms": [
                        {
                            "synonym": "N-[(2S,3R,4E)-1-{[(2R,4R,5S,6R)-3,4-dihydroxy-6-(hydroxymethyl)-5-{[(2S,3R,4S,5R,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy}oxan-2-yl]oxy}-3-hydroxyoctadec-4-en-2-yl]dodecanamide"
                        },
                        {
                            "synonym": "Lactosylceramide"
                        },
                        {
                            "synonym": "1-O-(4-O-beta-delta-Galactopyranosyl-beta-glucopyranosyl)ceramide"
                        },
                        {
                            "synonym": "LacCer(d18:1/12:0)"
                        },
                        {
                            "synonym": "1-O-(4-O-beta-delta-Galactopyranosyl-beta-delta-glucopyranosyl)-Ceramide"
                        },
                        {
                            "synonym": "beta-delta-Galactosyl-1,4-beta-delta-Glucosylceramide"
                        },
                        {
                            "synonym": "CDH"
                        },
                        {
                            "synonym": "1-O-(4-O-b-D-Galactopyranosyl-b-D-glucopyranosyl)-Ceramide"
                        },
                        {
                            "synonym": "N-Lignoceryl sphingosyl lactoside"
                        },
                        {
                            "synonym": "Gal-beta1->4Glc-beta1->1'Cer"
                        },
                        {
                            "synonym": "delta-Galactosyl-1,4-beta-delta-glucosylceramide"
                        },
                        {
                            "synonym": "D-Galactosyl-1,4-beta-D-glucosylceramide"
                        },
                        {
                            "synonym": "1ylce-O-(4-O-beta-delta-Galactopyranosyl-beta-glucopyranosyl)ceramide"
                        },
                        {
                            "synonym": "LacCer"
                        },
                        {
                            "synonym": "Lactosyl-N-acylsphingosine"
                        },
                        {
                            "synonym": "N-(Dodecanoyl)-1-b-lactosyl-sphing-4-enine"
                        },
                        {
                            "synonym": "Cytolipin H"
                        },
                        {
                            "synonym": "CDw17 antigen"
                        },
                        {
                            "synonym": "beta-D-Galactosyl-1,4-beta-D-Glucosylceramide"
                        },
                        {
                            "synonym": "N-(Dodecanoyl)-1-beta-lactosyl-sphing-4-enine"
                        },
                        {
                            "synonym": "1-O-(4-O-beta-D-Galactopyranosyl-beta-glucopyranosyl)ceramide"
                        },
                        {
                            "synonym": "Lactosyl ceramide (d18:1/12:0)"
                        },
                        {
                            "synonym": "beta-delta-Galactosyl-1,4-beta-delta-glucosramide"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CHEBI:89446",
                "assessed_entity_type": "metabolite",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "27914242",
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                        "url": "https://pubmed.ncbi.nlm.nih.gov/27914242",
                        "evidence_list": [
                            {
                                "evidence": "In terms of lipid classes, it was noted that HexCer species were in general more abundant in urinary exosomes from prostate cancer patients than from healthy controls, and that LacCer species were increased or unchanged. This is an interesting result since antibodies against LacCer and GlcCer are available, opening the alternative of analyzing these lipids by antibody-based methods, which are widely used in clinical laboratories. LacCer also showed the highest patient-to-control ratio."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "27914242",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27914242",
                "evidence_list": [
                    {
                        "evidence": "In terms of lipid classes, it was noted that HexCer species were in general more abundant in urinary exosomes from prostate cancer patients than from healthy controls, and that LacCer species were increased or unchanged. This is an interesting result since antibodies against LacCer and GlcCer are available, opening the alternative of analyzing these lipids by antibody-based methods, which are widely used in clinical laboratories. LacCer also showed the highest patient-to-control ratio."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
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        ],
        "citation": [
            {
                "title": "Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers.",
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                "authors": "Skotland T, Ekroos K, Kauhanen D, Simolin H, Seierstad T, Berge V, Sandvig K, Llorente A",
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                    {
                        "id": "27914242",
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                ]
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        ],
        "biomarker_canonical_id": "AA4902",
        "collision": 1
    },
    {
        "biomarker_id": "AA4903-1",
        "biomarker_component": [
            {
                "biomarker": "increased HEXCER level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Hexosylceramide",
                    "synonyms": [
                        {
                            "synonym": "N-hexadecanoyl hexosylceramide"
                        },
                        {
                            "synonym": "HexCer d18:1/16:0"
                        },
                        {
                            "synonym": "N-hexadecanoyl-(1<->1)-hexosyl-sphing-4-enine"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "CHEBI:77462",
                "assessed_entity_type": "metabolite",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
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                        "loinc_code": ""
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                "evidence_source": [
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                        "id": "27914242",
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                        "evidence_list": [
                            {
                                "evidence": "It was noted that HexCer species were in general more abundant in urinary exosomes from prostate cancer patients than from healthy controls, and that LacCer species were increased or unchanged."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
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                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
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            ]
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        "evidence_source": [
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                "id": "27914242",
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                "evidence_list": [
                    {
                        "evidence": "It was noted that HexCer species were in general more abundant in urinary exosomes from prostate cancer patients than from healthy controls, and that LacCer species were increased or unchanged."
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                ],
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        ],
        "citation": [
            {
                "title": "Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers.",
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                "authors": "Skotland T, Ekroos K, Kauhanen D, Simolin H, Seierstad T, Berge V, Sandvig K, Llorente A",
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                        "id": "27914242",
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        ],
        "biomarker_canonical_id": "AA4903",
        "collision": 1
    },
    {
        "biomarker_id": "AA4904-1",
        "biomarker_component": [
            {
                "biomarker": "decreased PS level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Phosphatidylserine",
                    "synonyms": [
                        {
                            "synonym": "PS(18:1/18:1)"
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                "assessed_biomarker_entity_id": "CHEBI:90437",
                "assessed_entity_type": "metabolite",
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                            {
                                "evidence": "PS 18:1/18:1 alone demonstrated lower expression in urine in patients as compared to the controls. Also, the author calculated that in urinary exosomes, PS 18:0e18:1 in the inner leaflet could occupy 72 18% (mean SD; n Z 13) and 66 22% (mean SD; n Z 15) of the area occupied by long-chain sphingolipids (N amidated C22 and C24) in urinary exosomes from controls and prostate cancer patients, respectively. The highest significance was shown for phosphatidylserine (PS) 18:1/18:1 and lactosylceramide (d18:1/16:0), the latter also showed the highest patient-to-control ratio. Furthermore, combinations of these lipid species and PS 18:0-18:2 distinguished the two groups with 93% sensitivity and 100% specificity."
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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                "id": "DOID:10283",
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            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
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                },
                {
                    "id": "DOID:10283",
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                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
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                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
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                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
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                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
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        "evidence_source": [
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                "id": "27914242",
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                        "evidence": "PS 18:1/18:1 alone demonstrated lower expression in urine in patients as compared to the controls. Also, the author calculated that in urinary exosomes, PS 18:0e18:1 in the inner leaflet could occupy 72 18% (mean SD; n Z 13) and 66 22% (mean SD; n Z 15) of the area occupied by long-chain sphingolipids (N amidated C22 and C24) in urinary exosomes from controls and prostate cancer patients, respectively. The highest significance was shown for phosphatidylserine (PS) 18:1/18:1 and lactosylceramide (d18:1/16:0), the latter also showed the highest patient-to-control ratio. Furthermore, combinations of these lipid species and PS 18:0-18:2 distinguished the two groups with 93% sensitivity and 100% specificity."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers.",
                "journal": "European journal of cancer (Oxford, England : 1990)",
                "authors": "Skotland T, Ekroos K, Kauhanen D, Simolin H, Seierstad T, Berge V, Sandvig K, Llorente A",
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                        "id": "27914242",
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        ],
        "biomarker_canonical_id": "AA4904",
        "collision": 1
    },
    {
        "biomarker_id": "AA4905-1",
        "biomarker_component": [
            {
                "biomarker": "increased TM256 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Transmembrane protein 256",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q8N2U0",
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                ],
                "evidence_source": [
                    {
                        "id": "26196085",
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                        "evidence_list": [
                            {
                                "evidence": "The most interesting potential prostate cancer biomarker identified in our study (both at 100% specificity and combined specificity and sensitivity) is TM256/C17orf61, a protein that has been predicted to be located at the plasma membrane and in exosomes. TM256 showed the highest sensitivity (94%) and level of enrichment (140-fold) of all the detected proteins. The fact that TM256 is also relatively abundant in patient exosomes further increases the interest for this protein as a promising biomarker."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26196085",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26196085",
                "evidence_list": [
                    {
                        "evidence": "The most interesting potential prostate cancer biomarker identified in our study (both at 100% specificity and combined specificity and sensitivity) is TM256/C17orf61, a protein that has been predicted to be located at the plasma membrane and in exosomes. TM256 showed the highest sensitivity (94%) and level of enrichment (140-fold) of all the detected proteins. The fact that TM256 is also relatively abundant in patient exosomes further increases the interest for this protein as a promising biomarker."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of prostate cancer biomarkers in urinary exosomes.",
                "journal": "Oncotarget",
                "authors": "\u00d8verbye A, Skotland T, Koehler CJ, Thiede B, Seierstad T, Berge V, Sandvig K, Llorente A",
                "date": "2015-07-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "26196085",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26196085"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4905",
        "collision": 1
    },
    {
        "biomarker_id": "AA4906-1",
        "biomarker_component": [
            {
                "biomarker": "increased FKBP4 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Peptidyl-prolyl cis-trans isomerase",
                    "synonyms": [
                        {
                            "synonym": "PPIase FKBP4"
                        },
                        {
                            "synonym": "51 kDa FK506-binding protein"
                        },
                        {
                            "synonym": "FKBP51"
                        },
                        {
                            "synonym": "52 kDa FK506-binding protein"
                        },
                        {
                            "synonym": "52 kDa FKBP"
                        },
                        {
                            "synonym": "FKBP-52"
                        },
                        {
                            "synonym": "59 kDa immunophilin"
                        },
                        {
                            "synonym": "p59"
                        },
                        {
                            "synonym": "FK506-binding protein 4"
                        },
                        {
                            "synonym": "FKBP-4"
                        },
                        {
                            "synonym": "FKBP59"
                        },
                        {
                            "synonym": "HSP-binding immunophilin"
                        },
                        {
                            "synonym": "HBI"
                        },
                        {
                            "synonym": "Immunophilin FKBP52"
                        },
                        {
                            "synonym": "Rotamase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q02790",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "17722004",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17722004",
                        "evidence_list": [
                            {
                                "evidence": "FKBP4 was increased in PCa specimen. It was also interesting that FKBP4 (also known as FKBP52) was up-regulated in Pca."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "17722004",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/17722004",
                "evidence_list": [
                    {
                        "evidence": "FKBP4 was increased in PCa specimen. It was also interesting that FKBP4 (also known as FKBP52) was up-regulated in Pca."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of candidate prostate cancer biomarkers in prostate needle biopsy specimens using proteomic analysis.",
                "journal": "International journal of cancer",
                "authors": "Lin JF, Xu J, Tian HY, Gao X, Chen QX, Gu Q, Xu GJ, Song JD, Zhao FK",
                "date": "2007-08-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "17722004",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17722004"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4906",
        "collision": 1
    },
    {
        "biomarker_id": "AA4907-1",
        "biomarker_component": [
            {
                "biomarker": "decreased FLNA level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Filamin-A",
                    "synonyms": [
                        {
                            "synonym": "FLN-A"
                        },
                        {
                            "synonym": "Actin-binding protein 280"
                        },
                        {
                            "synonym": "ABP-280"
                        },
                        {
                            "synonym": "Alpha-filamin"
                        },
                        {
                            "synonym": "Endothelial actin-binding protein"
                        },
                        {
                            "synonym": "Filamin-1"
                        },
                        {
                            "synonym": "Non-muscle filamin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21333",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "17722004",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17722004",
                        "evidence_list": [
                            {
                                "evidence": "2-DE protein profile of FLNA(7-15) clearly reveals a decrease in this protein in PNBX specimens from PCa patients. FLNA(7-15) levels were notably reduced in AMACR-positive PCa specimens as measured by immunoblot analysis (Fig. 3e). These results, taken with proteomics observations, suggest that FLNA(7-15) is down-regulated in prostate cancer. Among the proteins identified, the most notable was the endogenous 100-kDa fragment of FLNA and FKBP4, FLNA(7-15), which was found to be markedly down-regulated in PCa specimens."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "17722004",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/17722004",
                "evidence_list": [
                    {
                        "evidence": "2-DE protein profile of FLNA(7-15) clearly reveals a decrease in this protein in PNBX specimens from PCa patients. FLNA(7-15) levels were notably reduced in AMACR-positive PCa specimens as measured by immunoblot analysis (Fig. 3e). These results, taken with proteomics observations, suggest that FLNA(7-15) is down-regulated in prostate cancer. Among the proteins identified, the most notable was the endogenous 100-kDa fragment of FLNA and FKBP4, FLNA(7-15), which was found to be markedly down-regulated in PCa specimens."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of candidate prostate cancer biomarkers in prostate needle biopsy specimens using proteomic analysis.",
                "journal": "International journal of cancer",
                "authors": "Lin JF, Xu J, Tian HY, Gao X, Chen QX, Gu Q, Xu GJ, Song JD, Zhao FK",
                "date": "2007-08-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "17722004",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17722004"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4907",
        "collision": 1
    },
    {
        "biomarker_id": "AA4908-1",
        "biomarker_component": [
            {
                "biomarker": "increased MYO5A level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Unconventional myosin-Va",
                    "synonyms": [
                        {
                            "synonym": "Dilute myosin heavy chain, non-muscle"
                        },
                        {
                            "synonym": "Myosin heavy chain 12"
                        },
                        {
                            "synonym": "Myosin-12"
                        },
                        {
                            "synonym": "Myoxin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y4I1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "On the bottom left is the WASF1 module which included MYO5A and WASF1. These two genes both interacted with NCKAP1, CYFIP2, and CYFIP1. In this WASF1 module, four genes (CYFIP1, CYFIP2, NCKAP1, and WASF1) were involved in hsa04810: regulation of actin cytoskeleton. It has been reported that actin cytoskeleton was associated with lung cancer migration and invasion"
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "30532555",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                "evidence_list": [
                    {
                        "evidence": "On the bottom left is the WASF1 module which included MYO5A and WASF1. These two genes both interacted with NCKAP1, CYFIP2, and CYFIP1. In this WASF1 module, four genes (CYFIP1, CYFIP2, NCKAP1, and WASF1) were involved in hsa04810: regulation of actin cytoskeleton. It has been reported that actin cytoskeleton was associated with lung cancer migration and invasion"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.",
                "journal": "OncoTargets and therapy",
                "authors": "Sheng M, Dong Z, Xie Y",
                "date": "2018-12-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "30532555",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4908",
        "collision": 1
    },
    {
        "biomarker_id": "AA4909-1",
        "biomarker_component": [
            {
                "biomarker": "increased WASF1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Wiskott-Aldrich syndrome protein family member 1",
                    "synonyms": [
                        {
                            "synonym": "Protein WAVE-1"
                        },
                        {
                            "synonym": "Verprolin homology domain-containing protein 1"
                        },
                        {
                            "synonym": "Wiskott-Aldrich syndrome protein family member 1"
                        },
                        {
                            "synonym": "WASP family protein member 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q92558",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "On the bottom left is the WASF1 module which included MYO5A and WASF1. These two genes both interacted with NCKAP1, CYFIP2, and CYFIP1. In this WASF1 module, four genes (CYFIP1, CYFIP2, NCKAP1, and WASF1) were involved in hsa04810: regulation of actin cytoskeleton. It has been reported that actin cytoskeleton was associated with lung cancer migration and invasion"
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "30532555",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                "evidence_list": [
                    {
                        "evidence": "On the bottom left is the WASF1 module which included MYO5A and WASF1. These two genes both interacted with NCKAP1, CYFIP2, and CYFIP1. In this WASF1 module, four genes (CYFIP1, CYFIP2, NCKAP1, and WASF1) were involved in hsa04810: regulation of actin cytoskeleton. It has been reported that actin cytoskeleton was associated with lung cancer migration and invasion"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.",
                "journal": "OncoTargets and therapy",
                "authors": "Sheng M, Dong Z, Xie Y",
                "date": "2018-12-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "30532555",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4909",
        "collision": 1
    },
    {
        "biomarker_id": "AA4910-1",
        "biomarker_component": [
            {
                "biomarker": "increased PDHB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Pyruvate dehydrogenase E1 component subunit beta, mitochondrial",
                    "synonyms": [
                        {
                            "synonym": "PDHE1-B"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P11177",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "The PDHB module, which was involved in carbohydrate metabolism. The PDHB module interacted with the RSRC1 module, which was associated with protein biosynthesis, growth, and migration. These biomarkers can accurately predict NSCLC. In-depth biological network analysis suggested that there were four modules and three intermodule hubs that may trigger NSCLC"
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "30532555",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                "evidence_list": [
                    {
                        "evidence": "The PDHB module, which was involved in carbohydrate metabolism. The PDHB module interacted with the RSRC1 module, which was associated with protein biosynthesis, growth, and migration. These biomarkers can accurately predict NSCLC. In-depth biological network analysis suggested that there were four modules and three intermodule hubs that may trigger NSCLC"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.",
                "journal": "OncoTargets and therapy",
                "authors": "Sheng M, Dong Z, Xie Y",
                "date": "2018-12-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "30532555",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4910",
        "collision": 1
    },
    {
        "biomarker_id": "AN4197-1",
        "biomarker_component": [
            {
                "biomarker": "increased RSRC1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Serine/arginine-related protein 53",
                    "synonyms": [
                        {
                            "synonym": "SRrp53"
                        },
                        {
                            "synonym": "Arginine/serine-rich coiled-coil protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96IZ7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "At the top middle was the RSRC1 module, which included RSRC1 and FLOT1. Within this module, eight genes (RPS11, RPS14, RPS15, RPS26, RPS28, RPS3, RPS3A, and RPS9) that RSRC1 interacted with were ribosomal protein genes. Ribosome is important for protein biosynthesis, and there have been several reports that downregulation of ribosomal protein can inhibit or attenuate NSCLC growth and migration."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "30532555",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                "evidence_list": [
                    {
                        "evidence": "At the top middle was the RSRC1 module, which included RSRC1 and FLOT1. Within this module, eight genes (RPS11, RPS14, RPS15, RPS26, RPS28, RPS3, RPS3A, and RPS9) that RSRC1 interacted with were ribosomal protein genes. Ribosome is important for protein biosynthesis, and there have been several reports that downregulation of ribosomal protein can inhibit or attenuate NSCLC growth and migration."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.",
                "journal": "OncoTargets and therapy",
                "authors": "Sheng M, Dong Z, Xie Y",
                "date": "2018-12-12",
                "evidence": [],
                "reference": [
                    {
                        "id": "30532555",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4197",
        "collision": 1
    },
    {
        "biomarker_id": "AN4198-1",
        "biomarker_component": [
            {
                "biomarker": "increased methylation",
                "assessed_biomarker_entity": {
                    "recommended_name": "Pituitary homeobox 2 gene methylation",
                    "synonyms": [
                        {
                            "synonym": "ALL1-responsive protein ARP1"
                        },
                        {
                            "synonym": "Homeobox protein PITX2"
                        },
                        {
                            "synonym": "Paired-like homeodomain transcription factor 2"
                        },
                        {
                            "synonym": "RIEG bicoid-related homeobox transcription factor"
                        },
                        {
                            "synonym": "Solurshin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99697",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "25402584",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25402584",
                        "evidence_list": [
                            {
                                "evidence": "However, after FDR adjustment at 5% was applied, only methylation of PITX2 remained significant (p = 0.005) for predicting PCa related death and is interpreted as the following: for each 10% increase in methylation of PITX2, the risk of PCa-related death increased by a factor of 1.56."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "25402584",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/25402584",
                "evidence_list": [
                    {
                        "evidence": "However, after FDR adjustment at 5% was applied, only methylation of PITX2 remained significant (p = 0.005) for predicting PCa related death and is interpreted as the following: for each 10% increase in methylation of PITX2, the risk of PCa-related death increased by a factor of 1.56."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "DNA methylation of PITX2 predicts poor survival in men with prostate cancer.",
                "journal": "Biomarkers in medicine",
                "authors": "Vasiljevi\u0107 N, Ahmad AS, Carter PD, Fisher G, Berney DM, Foster CS, Cuzick J, Lorincz AT",
                "date": "2014-11-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "25402584",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25402584"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4198",
        "collision": 1
    },
    {
        "biomarker_id": "AA4913-1",
        "biomarker_component": [
            {
                "biomarker": "increased CXCR4 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "C-X-C chemokine receptor type 4",
                    "synonyms": [
                        {
                            "synonym": "CXC-R4"
                        },
                        {
                            "synonym": "CXCR-4"
                        },
                        {
                            "synonym": "FB22"
                        },
                        {
                            "synonym": "Fusin"
                        },
                        {
                            "synonym": "HM89"
                        },
                        {
                            "synonym": "LCR1"
                        },
                        {
                            "synonym": "Leukocyte-derived seven transmembrane domain receptor"
                        },
                        {
                            "synonym": "LESTR"
                        },
                        {
                            "synonym": "Lipopolysaccharide-associated protein 3"
                        },
                        {
                            "synonym": "LAP-3"
                        },
                        {
                            "synonym": "LPS-associated protein 3"
                        },
                        {
                            "synonym": "NPYRL"
                        },
                        {
                            "synonym": "Stromal cell-derived factor 1 receptor"
                        },
                        {
                            "synonym": "SDF-1 receptor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P61073",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "15756007",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/15756007",
                        "evidence_list": [
                            {
                                "evidence": "The CXCR4 expression on tumor cells was correlated with an unfavorable prognosis with a median disease-free and overall survival of 22 and 35 months, respectively. The hazard ratios of relapse and death, compared with patients with CXCR4-negative tumors, were 2.5 (95% confidence interval, 1.2-6.1) and 3.1 (95% confidence interval, 1.1-7.2), respectively. This article provides the first evidence that CXCR4 expression could be an independent and powerful prognostic marker in primary cutaneous malignant melanomas."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "15756007",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/15756007",
                "evidence_list": [
                    {
                        "evidence": "The CXCR4 expression on tumor cells was correlated with an unfavorable prognosis with a median disease-free and overall survival of 22 and 35 months, respectively. The hazard ratios of relapse and death, compared with patients with CXCR4-negative tumors, were 2.5 (95% confidence interval, 1.2-6.1) and 3.1 (95% confidence interval, 1.1-7.2), respectively. This article provides the first evidence that CXCR4 expression could be an independent and powerful prognostic marker in primary cutaneous malignant melanomas."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Expression of CXCR4 predicts poor prognosis in patients with malignant melanoma.",
                "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research",
                "authors": "Scala S, Ottaiano A, Ascierto PA, Cavalli M, Simeone E, Giuliano P, Napolitano M, Franco R, Botti G, Castello G",
                "date": "2005-03-10",
                "evidence": [],
                "reference": [
                    {
                        "id": "15756007",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/15756007"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4913",
        "collision": 1
    },
    {
        "biomarker_id": "AA4914-1",
        "biomarker_component": [
            {
                "biomarker": "increased CTSB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Cathepsin B",
                    "synonyms": [
                        {
                            "synonym": "APP secretase"
                        },
                        {
                            "synonym": "APPS"
                        },
                        {
                            "synonym": "Cathepsin B1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07858",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "21673904",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21673904",
                        "evidence_list": [
                            {
                                "evidence": "Indeed, significantly elevated levels of Cathepsin B (as determined by unpaired t test) were observed in melanoma patients. However, Cathepsin B levels were also elevated in breast cancer patients, indicating that cathepsin B is not unique to melanoma but may be associated with general tumor progression. Cathepsin B levels were also independent of age and stages of melanoma. In our study, serum cathepsin B levels were elevated in both melanoma and breast cancer patients. Based on these data, it is suggested that cathepsin B might be relevant to the development of a broad range of tumor, possibly contributing to the tumor cell migration and metastasis due to its protease function."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "21673904",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/21673904",
                "evidence_list": [
                    {
                        "evidence": "Indeed, significantly elevated levels of Cathepsin B (as determined by unpaired t test) were observed in melanoma patients. However, Cathepsin B levels were also elevated in breast cancer patients, indicating that cathepsin B is not unique to melanoma but may be associated with general tumor progression. Cathepsin B levels were also independent of age and stages of melanoma. In our study, serum cathepsin B levels were elevated in both melanoma and breast cancer patients. Based on these data, it is suggested that cathepsin B might be relevant to the development of a broad range of tumor, possibly contributing to the tumor cell migration and metastasis due to its protease function."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "IL-8 and cathepsin B as melanoma serum biomarkers.",
                "journal": "International journal of molecular sciences",
                "authors": "Zhang H, Fu T, McGettigan S, Kumar S, Liu S, Speicher D, Schuchter L, Xu X",
                "date": "2011-06-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "21673904",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21673904"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4914",
        "collision": 1
    },
    {
        "biomarker_id": "AN4199-1",
        "biomarker_component": [
            {
                "biomarker": "increased C1QTNF3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Complement C1q tumor necrosis factor-related protein 3",
                    "synonyms": [
                        {
                            "synonym": "Collagenous repeat-containing sequence 26 kDa protein"
                        },
                        {
                            "synonym": "CORS26"
                        },
                        {
                            "synonym": "Secretory protein CORS26"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9BXJ4",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29861410",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29861410",
                        "evidence_list": [
                            {
                                "evidence": "We were able to draw the conclusion that C1QTNF3 was significantly overexpressed in prostate tumor tissues."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "29861410",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/29861410",
                "evidence_list": [
                    {
                        "evidence": "We were able to draw the conclusion that C1QTNF3 was significantly overexpressed in prostate tumor tissues."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "RankProd Combined with Genetic Algorithm Optimized Artificial Neural Network Establishes a Diagnostic and Prognostic Prediction Model that Revealed C1QTNF3 as a Biomarker for Prostate Cancer.",
                "journal": "EBioMedicine",
                "authors": "Hou Q, Bing ZT, Hu C, Li MY, Yang KH, Mo Z, Xie XW, Liao JL, Lu Y, Horie S, Lou MW",
                "date": "2018-06-05",
                "evidence": [],
                "reference": [
                    {
                        "id": "29861410",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29861410"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4199",
        "collision": 1
    },
    {
        "biomarker_id": "AN4200-1",
        "biomarker_component": [
            {
                "biomarker": "decreased EIF2B5 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Translation initiation factor eIF-2B subunit epsilon",
                    "synonyms": [
                        {
                            "synonym": "eIF-2B GDP-GTP exchange factor subunit epsilon"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q13144",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "ovary",
                        "id": "UBERON:0000992",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000992",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32000373",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32000373",
                        "evidence_list": [
                            {
                                "evidence": "Low EIF2B5 expression was found in ovarian cancer tissues and correlated with survival status. Survival analysis showed that ovarian cancer patients with low EIF2B5 expression had a short OS. Low EIF2B5 expression predicts poor prognosis in ovarian cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32000373",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32000373",
                "evidence_list": [
                    {
                        "evidence": "Low EIF2B5 expression was found in ovarian cancer tissues and correlated with survival status. Survival analysis showed that ovarian cancer patients with low EIF2B5 expression had a short OS. Low EIF2B5 expression predicts poor prognosis in ovarian cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Low EIF2B5 expression predicts poor prognosis in ovarian cancer.",
                "journal": "Medicine",
                "authors": "Hou L, Jiao Y, Li Y, Luo Z, Zhang X, Pan G, Zhao Y, Yang Z, He M",
                "date": "2020-02-01",
                "evidence": [],
                "reference": [
                    {
                        "id": "32000373",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32000373"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4200",
        "collision": 1
    },
    {
        "biomarker_id": "AA4917-1",
        "biomarker_component": [
            {
                "biomarker": "decreased MLH1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "DNA mismatch repair protein Mlh1",
                    "synonyms": [
                        {
                            "synonym": "MutL protein homolog 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P40692",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "ovary",
                        "id": "UBERON:0000992",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000992",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31570444",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31570444",
                        "evidence_list": [
                            {
                                "evidence": "Low MLH1 expression was associated with improved prognosis and is a possible predictor of the chemosensitivity of ovarian cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31570444",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31570444",
                "evidence_list": [
                    {
                        "evidence": "Low MLH1 expression was associated with improved prognosis and is a possible predictor of the chemosensitivity of ovarian cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "MLH1 Is a Prognostic Biomarker for Serous Ovarian Cancer Treated With Platinum- and Taxane-based Chemotherapy.",
                "journal": "Anticancer research",
                "authors": "Kawashima N, Yoshida H, Miwa M, Fujiwara K",
                "date": "2019-10-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "31570444",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31570444"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4917",
        "collision": 1
    },
    {
        "biomarker_id": "AN4201-1",
        "biomarker_component": [
            {
                "biomarker": "decreased ZNF660 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Zinc finger protein 660",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q6AZW8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29465788",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29465788",
                        "evidence_list": [
                            {
                                "evidence": "We furthermore identify ZNF660 hypermethylation as associated with increased risk of BCR, as well as with reduced OS and reduced CSS, thus showing promising prognostic potential. ZNF660 hypermethylation was also significantly associated with poor overall and PC-specific survival in the RP."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "29465788",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/29465788",
                "evidence_list": [
                    {
                        "evidence": "We furthermore identify ZNF660 hypermethylation as associated with increased risk of BCR, as well as with reduced OS and reduced CSS, thus showing promising prognostic potential. ZNF660 hypermethylation was also significantly associated with poor overall and PC-specific survival in the RP."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.",
                "journal": "Molecular oncology",
                "authors": "Haldrup C, Pedersen AL, \u00d8gaard N, Strand SH, H\u00f8yer S, Borre M, \u00d8rntoft TF, S\u00f8rensen KD",
                "date": "2018-02-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "29465788",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29465788"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4201",
        "collision": 1
    },
    {
        "biomarker_id": "AN4202-1",
        "biomarker_component": [
            {
                "biomarker": "decreased ST6GALNAC3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Alpha-N-acetylgalactosaminide alpha-2,6-sialyltransferase 3",
                    "synonyms": [
                        {
                            "synonym": "GalNAc alpha-2,6-sialyltransferase III"
                        },
                        {
                            "synonym": "ST6GalNAc III"
                        },
                        {
                            "synonym": "ST6GalNAcIII"
                        },
                        {
                            "synonym": "STY"
                        },
                        {
                            "synonym": "Sialyltransferase 7C"
                        },
                        {
                            "synonym": "SIAT7-C"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8NDV1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29465788",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29465788",
                        "evidence_list": [
                            {
                                "evidence": "ST6GALNAC3 and ZNF660 mRNA levels were significantly downregulated in PC compared to AN tissue samples (P < 0.0001; Fig. 1K,L). Furthermore, the mRNA expression level of each gene was moderately, but significantly, inversely correlated with the promoter methylation level (P < 0.001; Fig. 1M,N), collectively suggesting that aberrant promoter hypermethylation may contribute to downregulation of ST6GALNAC3 and ZNF660 in PC."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "29465788",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/29465788",
                "evidence_list": [
                    {
                        "evidence": "ST6GALNAC3 and ZNF660 mRNA levels were significantly downregulated in PC compared to AN tissue samples (P < 0.0001; Fig. 1K,L). Furthermore, the mRNA expression level of each gene was moderately, but significantly, inversely correlated with the promoter methylation level (P < 0.001; Fig. 1M,N), collectively suggesting that aberrant promoter hypermethylation may contribute to downregulation of ST6GALNAC3 and ZNF660 in PC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.",
                "journal": "Molecular oncology",
                "authors": "Haldrup C, Pedersen AL, \u00d8gaard N, Strand SH, H\u00f8yer S, Borre M, \u00d8rntoft TF, S\u00f8rensen KD",
                "date": "2018-02-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "29465788",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29465788"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4202",
        "collision": 1
    },
    {
        "biomarker_id": "AN4203-1",
        "biomarker_component": [
            {
                "biomarker": "increased XPO6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Exportin-6",
                    "synonyms": [
                        {
                            "synonym": "Exp6"
                        },
                        {
                            "synonym": "Ran-binding protein 20"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96QU8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26709895",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26709895",
                        "evidence_list": [
                            {
                                "evidence": "XPO6 expression was significantly higher in patients with elevated PSA levels (>20 ng/ml) prior to radical prostatectomy (P=0.02). Elevated XPO6 expression was also found in patients with higher combined Gleason score (>/=8) in both biopsy and radical prostatectomy specimens (P=1.34E-3, P=3.09E-3, respectively). Furthermore, a positive association was found for the elevated expression of XPO6 and lymph node metastasis occurrence (P=0.01), biochemical recurrence (P=1.57E-3), and distant metastasis occurrence (P=3.27E-4)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26709895",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26709895",
                "evidence_list": [
                    {
                        "evidence": "XPO6 expression was significantly higher in patients with elevated PSA levels (>20 ng/ml) prior to radical prostatectomy (P=0.02). Elevated XPO6 expression was also found in patients with higher combined Gleason score (>/=8) in both biopsy and radical prostatectomy specimens (P=1.34E-3, P=3.09E-3, respectively). Furthermore, a positive association was found for the elevated expression of XPO6 and lymph node metastasis occurrence (P=0.01), biochemical recurrence (P=1.57E-3), and distant metastasis occurrence (P=3.27E-4)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Elevated XPO6 expression as a potential prognostic biomarker for prostate cancer recurrence.",
                "journal": "Frontiers in bioscience (Scholar edition)",
                "authors": "Hao J, Chiang YT, Gout PW, Wang Y",
                "date": "2015-12-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "26709895",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26709895"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4203",
        "collision": 1
    },
    {
        "biomarker_id": "AN4204-1",
        "biomarker_component": [
            {
                "biomarker": "decreased ZFP36 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Tristetraprolin",
                    "synonyms": [
                        {
                            "synonym": "G0/G1 switch regulatory protein 24"
                        },
                        {
                            "synonym": "Growth factor-inducible nuclear protein NUP475"
                        },
                        {
                            "synonym": "Tristetraprolin"
                        },
                        {
                            "synonym": "Zinc finger protein 36"
                        },
                        {
                            "synonym": "Zfp-36"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P26651",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30420441",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30420441",
                        "evidence_list": [
                            {
                                "evidence": "Lower levels of tristetraprolin in human prostate cancer prostatectomy tissue are associated with more aggressive prostate cancer and may serve as an actionable prognostic and predictive biomarker."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30420441",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30420441",
                "evidence_list": [
                    {
                        "evidence": "Lower levels of tristetraprolin in human prostate cancer prostatectomy tissue are associated with more aggressive prostate cancer and may serve as an actionable prognostic and predictive biomarker."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Low Tristetraprolin Expression Is Associated with Lethal Prostate Cancer.",
                "journal": "Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology",
                "authors": "Gerke T, Beltran H, Wang X, Lee GM, Sboner A, Karnes RJ, Klein EA, Davicioni E, Yousefi K, Ross AE, B\u00f6rnigen D, Huttenhower C, Mucci LA, Trock BJ, Sweeney CJ",
                "date": "2018-11-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "30420441",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30420441"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4204",
        "collision": 1
    },
    {
        "biomarker_id": "AA4922-1",
        "biomarker_component": [
            {
                "biomarker": "increased EZH2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Zeste homolog 2",
                    "synonyms": [
                        {
                            "synonym": "ENX-1"
                        },
                        {
                            "synonym": "Enhancer of zeste homolog 2"
                        },
                        {
                            "synonym": "Lysine N-methyltransferase 6"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q15910",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": "96964-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "12374981",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/12374981",
                        "evidence_list": [
                            {
                                "evidence": "EZH2 protein are increased in metastatic prostate cancer; in addition, clinically localized prostate cancers that express higher concentrations of EZH2 show a poorer prognosis. Thus, dysregulated expression of EZH2 may be involved in the progression of prostate cancer, as well as being a marker that distinguishes indolent prostate cancer from those at risk of lethal Progression."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "12374981",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/12374981",
                "evidence_list": [
                    {
                        "evidence": "EZH2 protein are increased in metastatic prostate cancer; in addition, clinically localized prostate cancers that express higher concentrations of EZH2 show a poorer prognosis. Thus, dysregulated expression of EZH2 may be involved in the progression of prostate cancer, as well as being a marker that distinguishes indolent prostate cancer from those at risk of lethal Progression."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The polycomb group protein EZH2 is involved in progression of prostate cancer.",
                "journal": "Nature",
                "authors": "Varambally S, Dhanasekaran SM, Zhou M, Barrette TR, Kumar-Sinha C, Sanda MG, Ghosh D, Pienta KJ, Sewalt RG, Otte AP, Rubin MA, Chinnaiyan AM",
                "date": "2002-10-11",
                "evidence": [],
                "reference": [
                    {
                        "id": "12374981",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/12374981"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4922",
        "collision": 1
    },
    {
        "biomarker_id": "AA4923-1",
        "biomarker_component": [
            {
                "biomarker": "increased FABP4 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Fatty acid-binding protein, adipocyte",
                    "synonyms": [
                        {
                            "synonym": "Adipocyte lipid-binding protein"
                        },
                        {
                            "synonym": "ALBP"
                        },
                        {
                            "synonym": "Adipocyte-type fatty acid-binding protein"
                        },
                        {
                            "synonym": "A-FABP"
                        },
                        {
                            "synonym": "AFABP"
                        },
                        {
                            "synonym": "Fatty acid-binding protein 4"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15090",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30100196",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30100196",
                        "evidence_list": [
                            {
                                "evidence": "Using clinical samples, we demonstrated that circulating A-FABP levels were significantly increased in obese patients with breast cancer in comparison with those without breast cancer. Collectively, these data suggest circulating A-FABP as a new link between obesity and breast cancer risk, thereby revealing A-FABP as a potential new therapeutic target for treatment of obesity-associated cancers."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30100196",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30100196",
                "evidence_list": [
                    {
                        "evidence": "Using clinical samples, we demonstrated that circulating A-FABP levels were significantly increased in obese patients with breast cancer in comparison with those without breast cancer. Collectively, these data suggest circulating A-FABP as a new link between obesity and breast cancer risk, thereby revealing A-FABP as a potential new therapeutic target for treatment of obesity-associated cancers."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Circulating Adipose Fatty Acid Binding Protein Is a New Link Underlying Obesity-Associated Breast/Mammary Tumor Development.",
                "journal": "Cell metabolism",
                "authors": "Hao J, Zhang Y, Yan X, Yan F, Sun Y, Zeng J, Waigel S, Yin Y, Fraig MM, Egilmez NK, Suttles J, Kong M, Liu S, Cleary MP, Sauter E, Li B",
                "date": "2018-08-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "30100196",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30100196"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4923",
        "collision": 1
    },
    {
        "biomarker_id": "AA4924-1",
        "biomarker_component": [
            {
                "biomarker": "increased ENG level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Endoglin",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P17813",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "19004009",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19004009",
                        "evidence_list": [
                            {
                                "evidence": "Elevations in post-DRE urinary endoglin suggest there may be value in further studying endoglin as a urinary biomarker of prostate cancer. Endoglin levels in both urine and serum may aid in prostate cancer detection and prognostication. In the present study, we show that endoglin is increased in urine collected after DRE from men with prostate cancer on biopsy compared to men without prostate cancer, and that post-DRE urinary endoglin levels are predictive of prostate cancer in a cohort of men at increased risk by PSA and DRE criteria."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "19004009",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/19004009",
                "evidence_list": [
                    {
                        "evidence": "Elevations in post-DRE urinary endoglin suggest there may be value in further studying endoglin as a urinary biomarker of prostate cancer. Endoglin levels in both urine and serum may aid in prostate cancer detection and prognostication. In the present study, we show that endoglin is increased in urine collected after DRE from men with prostate cancer on biopsy compared to men without prostate cancer, and that post-DRE urinary endoglin levels are predictive of prostate cancer in a cohort of men at increased risk by PSA and DRE criteria."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Endoglin (CD105) as a urinary and serum marker of prostate cancer.",
                "journal": "International journal of cancer",
                "authors": "Fujita K, Ewing CM, Chan DY, Mangold LA, Partin AW, Isaacs WB, Pavlovich CP",
                "date": "2008-11-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "19004009",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/19004009"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4924",
        "collision": 1
    },
    {
        "biomarker_id": "AA4925-1",
        "biomarker_component": [
            {
                "biomarker": "increased AMACR level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Alpha-methylacyl-CoA racemase",
                    "synonyms": [
                        {
                            "synonym": "2-methylacyl-CoA racemase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UHK6",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "15371879",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/15371879",
                        "evidence_list": [
                            {
                                "evidence": "AMACR was detected in the urine in 18 of 26 patients (69%). AMACR was detected in all 12 patients with biopsy confirmed adenocarcinoma of the prostate (100 sensitivity, 95% CI 75 to 100), in 5 of 12 with no evidence of cancer on biopsy (58% specificity, 95% CI 29 to 78) and in 1 of 2 (50%, 95% CI 3 to 80) with atypia on biopsy. Overall AMACR detection was associated with cancer status by prostate biopsy in 21 of 26 patients (86%). A screening test based on urinary AMACR may develop into a useful adjunct to serum prostate specific antigen and digital rectal examination for identifying men at increased risk for harboring prostate cancer despite negative biopsy. Such a test has potential application for stratifying patients into low and high risk groups for surveillance vs repeat biopsy."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
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            {
                "id": "15371879",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/15371879",
                "evidence_list": [
                    {
                        "evidence": "AMACR was detected in the urine in 18 of 26 patients (69%). AMACR was detected in all 12 patients with biopsy confirmed adenocarcinoma of the prostate (100 sensitivity, 95% CI 75 to 100), in 5 of 12 with no evidence of cancer on biopsy (58% specificity, 95% CI 29 to 78) and in 1 of 2 (50%, 95% CI 3 to 80) with atypia on biopsy. Overall AMACR detection was associated with cancer status by prostate biopsy in 21 of 26 patients (86%). A screening test based on urinary AMACR may develop into a useful adjunct to serum prostate specific antigen and digital rectal examination for identifying men at increased risk for harboring prostate cancer despite negative biopsy. Such a test has potential application for stratifying patients into low and high risk groups for surveillance vs repeat biopsy."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prostate cancer detection on urinalysis for alpha methylacyl coenzyme a racemase protein.",
                "journal": "The Journal of urology",
                "authors": "Rogers CG, Yan G, Zha S, Gonzalgo ML, Isaacs WB, Luo J, De Marzo AM, Nelson WG, Pavlovich CP",
                "date": "2004-09-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "15371879",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/15371879"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4925",
        "collision": 1
    },
    {
        "biomarker_id": "AA4926-1",
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            {
                "biomarker": "increased IMPDH2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Inosine 5'-monophosphate dehydrogenase type II",
                    "synonyms": [
                        {
                            "synonym": "IMP dehydrogenase 2"
                        },
                        {
                            "synonym": "IMPD 2"
                        },
                        {
                            "synonym": "IMPDH 2"
                        },
                        {
                            "synonym": "Inosine-5'-monophosphate dehydrogenase type II"
                        },
                        {
                            "synonym": "IMP dehydrogenase II"
                        },
                        {
                            "synonym": "IMPDH-II"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P12268",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "ovary",
                        "id": "UBERON:0000992",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000992",
                        "loinc_code": ""
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                "evidence_source": [
                    {
                        "id": "32305001",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32305001",
                        "evidence_list": [
                            {
                                "evidence": "IMPDH2 is highly expressed in ovarian cancer and correlates with prognosis, which may serve as a potential prognostic biomarker."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
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                "database": "Pubmed",
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                    {
                        "evidence": "IMPDH2 is highly expressed in ovarian cancer and correlates with prognosis, which may serve as a potential prognostic biomarker."
                    }
                ],
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                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The expression and prognostic role of IMPDH2 in ovarian cancer.",
                "journal": "Annals of diagnostic pathology",
                "authors": "Tian Y, Zhang J, Chen L, Zhang X",
                "date": "2020-04-19",
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                "reference": [
                    {
                        "id": "32305001",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32305001"
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    {
        "biomarker_id": "AA4927-1",
        "biomarker_component": [
            {
                "biomarker": "increased MIR-106A-5P level",
                "assessed_biomarker_entity": {
                    "recommended_name": "miRNA-106a-5p",
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                },
                "assessed_biomarker_entity_id": "MRB:MIMAT0000103",
                "assessed_entity_type": "miRNA",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                ],
                "evidence_source": [
                    {
                        "id": "26276721",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "miR-106a-5p was found to be significantly (p < 0.05) upregulated in BC tissue samples compared to paired adjacent healthy tissue samples."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    }
                ]
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        ],
        "best_biomarker_role": [
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        ],
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            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
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            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
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            ]
        },
        "evidence_source": [
            {
                "id": "26276721",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "miR-106a-5p was found to be significantly (p < 0.05) upregulated in BC tissue samples compared to paired adjacent healthy tissue samples."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Circulating miRNAs revealed as surrogate molecular signatures for the early detection of breast cancer.",
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                "authors": "Mishra S, Srivastava AK, Suman S, Kumar V, Shukla Y",
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        "biomarker_canonical_id": "AA4927",
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        "biomarker_id": "AA4928-1",
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                "biomarker": "decreased MIR-495 level",
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                },
                "assessed_biomarker_entity_id": "MRB:MI0003135",
                "assessed_entity_type": "RNA",
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                            {
                                "evidence": "Results showed differential pattern of expressions of these miRNAs in multiple cohorts, however in early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. In addition, these miRNAs were also significantly associated with cancer and ErbB signaling pathways. The present study delineated the importance of miR-195-5p and miR-495 miRNAs as prospective circulating surrogate molecular signatures for early detection of breast cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                            {
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                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
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                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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        "evidence_source": [
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                    }
                ],
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        ],
        "citation": [
            {
                "title": "Circulating miRNAs revealed as surrogate molecular signatures for the early detection of breast cancer.",
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                            {
                                "evidence": "Results showed differential pattern of expressions of these miRNAs in multiple cohorts, however in early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. In addition, these miRNAs were also significantly associated with cancer and ErbB signaling pathways."
                            }
                        ],
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                                "tag": "biomarker"
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                {
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                {
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                {
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                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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                    {
                        "evidence": "Results showed differential pattern of expressions of these miRNAs in multiple cohorts, however in early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. In addition, these miRNAs were also significantly associated with cancer and ErbB signaling pathways."
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        "citation": [
            {
                "title": "Circulating miRNAs revealed as surrogate molecular signatures for the early detection of breast cancer.",
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        "biomarker_id": "AA4930-1",
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                        "id": "32259560",
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                            {
                                "evidence": "In early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. Results showed differential pattern of expressions of these miRNAs in multiple cohorts, however in early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. In addition, these miRNAs were also significantly associated with cancer and ErbB signaling pathways."
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                {
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                    "name": "breast tumor",
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                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32259560",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32259560",
                "evidence_list": [
                    {
                        "evidence": "In early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. Results showed differential pattern of expressions of these miRNAs in multiple cohorts, however in early stage breast cancer, miR-106a-5p and miR-454-3p were upregulated (p < 0.05), miR-195-5p and miR-495 were downregulated (p < 0.05) in PBMCs. In addition, these miRNAs were also significantly associated with cancer and ErbB signaling pathways."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Interleukin-6 as a potential biomarker of COVID-19 progression.",
                "journal": "Medecine et maladies infectieuses",
                "authors": "Ulhaq ZS, Soraya GV",
                "date": "2020-04-08",
                "evidence": [],
                "reference": [
                    {
                        "id": "32259560",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32259560"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4930",
        "collision": 1
    },
    {
        "biomarker_id": "AN4205-1",
        "biomarker_component": [
            {
                "biomarker": "decreased PLA2R1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Secretory phospholipase A2 receptor",
                    "synonyms": [
                        {
                            "synonym": "PLA2-R"
                        },
                        {
                            "synonym": "PLA2R"
                        },
                        {
                            "synonym": "180 kDa secretory phospholipase A2 receptor"
                        },
                        {
                            "synonym": "C-type lectin domain family 13 member C"
                        },
                        {
                            "synonym": "M-type receptor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q13018",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
                        "id": "UBERON:0002046",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002046",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31965517",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31965517",
                        "evidence_list": [
                            {
                                "evidence": "The main objective of this study was to characterize the stage-specific deregulation in genes and miRNA expression in PTC to identify potential prognostic biomarkers. LTF and PLA2R1 were identified as two promising biomarkers down-regulated in a subgroup of stage I (both in TCGA and in the validation data set) and in the majority of stage IV of PTC (in TCGA data set)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1781",
            "recommended_name": {
                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1781"
            },
            "synonyms": [
                {
                    "id": "DOID:1781",
                    "name": "neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31965517",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31965517",
                "evidence_list": [
                    {
                        "evidence": "The main objective of this study was to characterize the stage-specific deregulation in genes and miRNA expression in PTC to identify potential prognostic biomarkers. LTF and PLA2R1 were identified as two promising biomarkers down-regulated in a subgroup of stage I (both in TCGA and in the validation data set) and in the majority of stage IV of PTC (in TCGA data set)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Comprehensive transcriptomic analysis of papillary thyroid cancer: potential biomarkers associated with tumor progression.",
                "journal": "Journal of endocrinological investigation",
                "authors": "Hosseinkhan N, Honardoost M, Blighe K, Moore CBT, Khamseh ME",
                "date": "2020-01-23",
                "evidence": [],
                "reference": [
                    {
                        "id": "31965517",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31965517"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4205",
        "collision": 1
    },
    {
        "biomarker_id": "AN4206-1",
        "biomarker_component": [
            {
                "biomarker": "increased KCNN4 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Intermediate conductance calcium-activated potassium channel protein 4",
                    "synonyms": [
                        {
                            "synonym": "SK4"
                        },
                        {
                            "synonym": "SKCa 4"
                        },
                        {
                            "synonym": "SKCa4"
                        },
                        {
                            "synonym": "IKCa1"
                        },
                        {
                            "synonym": "IK1"
                        },
                        {
                            "synonym": "KCa3.1"
                        },
                        {
                            "synonym": "KCa4"
                        },
                        {
                            "synonym": "Putative Gardos channel"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O15554",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
                        "id": "UBERON:0002046",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002046",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32857728",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32857728",
                        "evidence_list": [
                            {
                                "evidence": "We examined expression of KCNN4 in public databases and discovered that it is upregulated in PTC. These results suggest that KCNN4 promotes PTC progression by inducing epithelial-mesenchymal transition and suppressing apoptosis, which suggests KCNN4 may be a useful diagnostic and prognostic biomarker of PTC."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:1781",
            "recommended_name": {
                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1781"
            },
            "synonyms": [
                {
                    "id": "DOID:1781",
                    "name": "neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32857728",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32857728",
                "evidence_list": [
                    {
                        "evidence": "We examined expression of KCNN4 in public databases and discovered that it is upregulated in PTC. These results suggest that KCNN4 promotes PTC progression by inducing epithelial-mesenchymal transition and suppressing apoptosis, which suggests KCNN4 may be a useful diagnostic and prognostic biomarker of PTC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "",
                "journal": "Aging",
                "authors": "Wen J, Lin B, Lin L, Chen Y, Wang O",
                "date": "2020-08-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "32857728",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32857728"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4206",
        "collision": 1
    },
    {
        "biomarker_id": "AN4207-1",
        "biomarker_component": [
            {
                "biomarker": "increased 8-OHDG level",
                "assessed_biomarker_entity": {
                    "recommended_name": "8-Hydroxy-2-deoxyguanosine",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C1297",
                "assessed_entity_type": "metabolite",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30683611",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30683611",
                        "evidence_list": [
                            {
                                "evidence": "The concentrations of 8-OHdG were significantly increased in the BC group (55.2 ng/dL) compared with the benign tumor group (30.2 ng/dL) and with the healthy control group (9.08 ng/dL)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30683611",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30683611",
                "evidence_list": [
                    {
                        "evidence": "The concentrations of 8-OHdG were significantly increased in the BC group (55.2 ng/dL) compared with the benign tumor group (30.2 ng/dL) and with the healthy control group (9.08 ng/dL)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "8-Hydroxy-2'-deoxyguanosine as a Discriminatory Biomarker for Early Detection of Breast Cancer.",
                "journal": "Clinical breast cancer",
                "authors": "Nour Eldin EEM, El-Readi MZ, Nour Eldein MM, Alfalki AA, Althubiti MA, Mohamed Kamel HF, Eid SY, Al-Amodi HS, Mirza AA",
                "date": "2019-01-27",
                "evidence": [],
                "reference": [
                    {
                        "id": "30683611",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30683611"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4207",
        "collision": 1
    },
    {
        "biomarker_id": "AA4934-1",
        "biomarker_component": [
            {
                "biomarker": "increased TNFRSF11B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Tumor necrosis factor receptor superfamily member 11B",
                    "synonyms": [
                        {
                            "synonym": "Osteoclastogenesis inhibitory factor"
                        },
                        {
                            "synonym": "Osteoprotegerin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O00300",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30348163",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30348163",
                        "evidence_list": [
                            {
                                "evidence": "Especially in women with ER+ disease, higher circulating OPG concentrations were associated with higher risk of breast cancer-specific. High pre-diagnosis endogenous concentrations of OPG, the decoy receptor for RANKL, were associated with increased risk of death after a breast cancer diagnosis, especially in those with ER+ disease."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30348163",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30348163",
                "evidence_list": [
                    {
                        "evidence": "Especially in women with ER+ disease, higher circulating OPG concentrations were associated with higher risk of breast cancer-specific. High pre-diagnosis endogenous concentrations of OPG, the decoy receptor for RANKL, were associated with increased risk of death after a breast cancer diagnosis, especially in those with ER+ disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Receptor activator of nuclear factor kB ligand, osteoprotegerin, and risk of death following a breast cancer diagnosis: results from the EPIC cohort.",
                "journal": "BMC cancer",
                "authors": "Sarink D, Schock H, Johnson T, Chang-Claude J, Overvad K, Olsen A, Tj\u00f8nneland A, Arveux P, Fournier A, Kvaskoff M, Boeing H, Karakatsani A, Trichopoulou A, La Vecchia C, Masala G, Agnoli C, Panico S, Tumino R, Sacerdote C, van Gils CH, Peeters PHM, Weiderpass E, Agudo A, Rodr\u00edguez-Barranco M, Huerta JM, Ardanaz E, Gil L, Kaw KT, Schmidt JA, Dossus L, His M, Aune D, Riboli E, Kaaks R, Fortner RT",
                "date": "2018-10-24",
                "evidence": [],
                "reference": [
                    {
                        "id": "30348163",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30348163"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4934",
        "collision": 1
    },
    {
        "biomarker_id": "AA4935-1",
        "biomarker_component": [
            {
                "biomarker": "increased PTDNA level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Plasma tumor DNA",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C179394",
                "assessed_entity_type": "DNA",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "24504125",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/24504125",
                        "evidence_list": [
                            {
                                "evidence": "This prospective study demonstrates accurate mutation detection in tumor tissues using ddPCR, and that ptDNA can be detected in blood before and after surgery in patients with early-stage breast cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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                    {
                        "evidence": "This prospective study demonstrates accurate mutation detection in tumor tissues using ddPCR, and that ptDNA can be detected in blood before and after surgery in patients with early-stage breast cancer."
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        ],
        "citation": [
            {
                "title": "Detection of cancer DNA in plasma of patients with early-stage breast cancer.",
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        "biomarker_canonical_id": "AA4935",
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        "biomarker_id": "AN4208-1",
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                        {
                            "synonym": "Astrin"
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                        {
                            "synonym": "Deepest"
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                            "synonym": "Mitotic spindle-associated protein p126"
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                            "synonym": "MAP126"
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                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:2394",
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                {
                    "id": "DOID:2394",
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        "citation": [
            {
                "title": "High expression of sperm-associated antigen 5 correlates with poor survival in ovarian cancer.",
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                            "synonym": "Thioredoxin-dependent peroxiredoxin 1"
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                                "tag": "biomarker"
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                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
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                {
                    "id": "DOID:2394",
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                "title": "Peroxiredoxin-1 as a prognostic factor in patients with ovarian cancer.",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
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                {
                    "id": "DOID:2394",
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        ],
        "citation": [
            {
                "title": "Soluble heat-shock protein 27 in blood serum is a non-invasive prognostic biomarker for ovarian cancer.",
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        "biomarker_id": "AA4939-1",
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                "biomarker": "increased REG4 level",
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                            "synonym": "Gastrointestinal secretory protein"
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                            "synonym": "REG-like protein"
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                "assessed_biomarker_entity_id": "UPKB:Q9BYZ8",
                "assessed_entity_type": "protein",
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                                "evidence": "Finally, an ELISA based serum biomarker assay demonstrated increased expression only in patients with mucinous ovarian cancer. This study identifies REG4 as a potential serum biomarker for histotype-specific detection of mucinous ovarian cancer and suggests serum REG4 measurement as a non-invasive diagnostic tool for postoperative follow-up of patients with mucinous ovarian cancer."
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                        ],
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                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
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                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
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        "evidence_source": [
            {
                "id": "26981633",
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                        "evidence": "Finally, an ELISA based serum biomarker assay demonstrated increased expression only in patients with mucinous ovarian cancer. This study identifies REG4 as a potential serum biomarker for histotype-specific detection of mucinous ovarian cancer and suggests serum REG4 measurement as a non-invasive diagnostic tool for postoperative follow-up of patients with mucinous ovarian cancer."
                    }
                ],
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                "title": "REG4 Is Highly Expressed in Mucinous Ovarian Cancer: A Potential Novel Serum Biomarker.",
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                            "synonym": "REG-4"
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                            "synonym": "Gastrointestinal secretory protein"
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                "assessed_biomarker_entity_id": "UPKB:Q9BYZ8",
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                                "evidence": "In the present study, we show that high expression of REG4 correlates with advanced stage and poor survival prognosis for gastric cancer patients. REG4 overexpression significantly enhances peritoneal metastasis by increasing adhesion ability. Moreover, SP1 is proved to be a transcription factor of REG4 and induce REG4 expression upon TGF-alpha stimulation."
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                        "evidence": "In the present study, we show that high expression of REG4 correlates with advanced stage and poor survival prognosis for gastric cancer patients. REG4 overexpression significantly enhances peritoneal metastasis by increasing adhesion ability. Moreover, SP1 is proved to be a transcription factor of REG4 and induce REG4 expression upon TGF-alpha stimulation."
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                ],
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                "title": "REG4 promotes peritoneal metastasis of gastric cancer through GPR37.",
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                "title": "SAMD5 mRNA was overexpressed in prostate cancer and can predict biochemical recurrence after radical prostatectomy.",
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                    {
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                                "tag": "biomarker"
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                {
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                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
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                {
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        "citation": [
            {
                "title": "",
                "journal": "Artificial cells, nanomedicine, and biotechnology",
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                            "synonym": "Myofibrillogenesis regulator 1"
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                            "synonym": "MR-1"
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                        {
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                "assessed_biomarker_entity_id": "UPKB:Q8N490",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
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                        "evidence": "MR-1 was overexpressed in ovarian cancer tissues and SKOV3 cells. Knockdown of MR-1 expression inhibited cell adhesion and invasion, and treatment with anti-cancer drugs decreased its expression in cancer cells. Taken together, these results provide the first evidence of the cellular and molecular mechanisms by which MR-1 might serve as a novel biological marker and potential therapeutic target for ovarian cancer."
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        "citation": [
            {
                "title": "Myofibrillogenesis regulator 1 (MR-1) is a novel biomarker and potential therapeutic target for human ovarian cancer.",
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                "authors": "Lu R, Sun M, Feng J, Gao X, Guo L",
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                                "evidence": "We noted a marked overexpression of AGR2 mRNA and protein in early stage mucinous ovarian tumors compared to normal ovarian tissues and serous type ovarian tumors by Western blot analysis and immunohistochemistry. To further elucidate the role of AGR2 in ovarian tumorigenesis, stable 2774 human ovarian cancer cell lines overexpressing AGR2 were established. Forced expression of AGR2 in 2774 cells enhanced the growth and migration of ovarian cancer cells."
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                        ],
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                        "evidence": "We noted a marked overexpression of AGR2 mRNA and protein in early stage mucinous ovarian tumors compared to normal ovarian tissues and serous type ovarian tumors by Western blot analysis and immunohistochemistry. To further elucidate the role of AGR2 in ovarian tumorigenesis, stable 2774 human ovarian cancer cell lines overexpressing AGR2 were established. Forced expression of AGR2 in 2774 cells enhanced the growth and migration of ovarian cancer cells."
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            {
                "title": "AGR2, a mucinous ovarian cancer marker, promotes cell proliferation and migration.",
                "journal": "Experimental & molecular medicine",
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    {
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                        "id": "26998125",
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                                "evidence": "AGR2 and CTSD expression were both elevated in GC lesions compared with noncancerous tissues. In 204/436 (46.8%) GC patients, high expression of AGR2 was positively correlated with the expression of CTSD (r=0.577, P<0.01). Furthermore, several clinicopathological parameters were significantly associated with AGR2 expression level, including tumor size, depth of invasion and TNM stage (P<0.05). The findings of the present study indicate that AGR2 expression is significantly associated with location and size of GC, depth of invasion, TNM stage, lymphatic metastasis, vessel invasion, distant metastasis, Lauren's classification, high CTSD expression and poor prognosis. Thus, AGR2 may be a novel GC marker and may present a potential therapeutic target for GC."
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                        "evidence": "AGR2 and CTSD expression were both elevated in GC lesions compared with noncancerous tissues. In 204/436 (46.8%) GC patients, high expression of AGR2 was positively correlated with the expression of CTSD (r=0.577, P<0.01). Furthermore, several clinicopathological parameters were significantly associated with AGR2 expression level, including tumor size, depth of invasion and TNM stage (P<0.05). The findings of the present study indicate that AGR2 expression is significantly associated with location and size of GC, depth of invasion, TNM stage, lymphatic metastasis, vessel invasion, distant metastasis, Lauren's classification, high CTSD expression and poor prognosis. Thus, AGR2 may be a novel GC marker and may present a potential therapeutic target for GC."
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                ],
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        "citation": [
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                "title": "AGR2 is associated with gastric cancer progression and poor survival.",
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                "evidence_source": [
                    {
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                                "evidence": "PLG staining was positively associated with prolonged overall survival (OS) [hazard ratio (HR)=0.59, p=0.026] of the patients. In summary, these data indicate that elevated PLG expression represents a favorable prognostic biomarker in advanced (FIGO III/IV) high-grade serous ovarian cancer."
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                {
                    "id": "DOID:2394",
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                    "resource": "Disease Ontology",
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                    "id": "DOID:2394",
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                        "evidence": "PLG staining was positively associated with prolonged overall survival (OS) [hazard ratio (HR)=0.59, p=0.026] of the patients. In summary, these data indicate that elevated PLG expression represents a favorable prognostic biomarker in advanced (FIGO III/IV) high-grade serous ovarian cancer."
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                ],
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        ],
        "citation": [
            {
                "title": "Plasmin(ogen) serves as a favorable biomarker for prediction of survival in advanced high-grade serous ovarian cancer.",
                "journal": "Biological chemistry",
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                "date": "2016-12-10",
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        "biomarker_canonical_id": "AA4948",
        "collision": 1
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    {
        "biomarker_id": "AN4211-1",
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            {
                "biomarker": "increased PRSS8 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Serine protease prostasin",
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                        {
                            "synonym": "Channel-activating protease 1"
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                        {
                            "synonym": "CAP1"
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                        {
                            "synonym": "Serine protease 8"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q16651",
                "assessed_entity_type": "protein",
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                    {
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                            {
                                "evidence": "Overexpression of PRSS8 mRNA and high levels of prostasin in multiple subtypes of early stage ovarian tumors may provide clinical biomarkers for early detection of OVC, which can potentially be used with CA125 and HE4."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        ],
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                "description": "A female reproductive organ cancer that is located_in the ovary.",
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
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        },
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            {
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                    {
                        "evidence": "Overexpression of PRSS8 mRNA and high levels of prostasin in multiple subtypes of early stage ovarian tumors may provide clinical biomarkers for early detection of OVC, which can potentially be used with CA125 and HE4."
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                ],
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                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "The serine protease prostasin (PRSS8) is a potential biomarker for early detection of ovarian cancer.",
                "journal": "Journal of ovarian research",
                "authors": "Tamir A, Gangadharan A, Balwani S, Tanaka T, Patel U, Hassan A, Benke S, Agas A, D'Agostino J, Shin D, Yoon S, Goy A, Pecora A, Suh KS",
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        "biomarker_canonical_id": "AN4211",
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    {
        "biomarker_id": "AA4950-1",
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            {
                "biomarker": "increased HMGA1 level",
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                        {
                            "synonym": "HMG-I(Y)"
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                        {
                            "synonym": "High mobility group AT-hook protein 1"
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                        {
                            "synonym": "High mobility group protein A1"
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                        {
                            "synonym": "High mobility group protein R"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17096",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
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                ],
                "evidence_source": [
                    {
                        "id": "25586095",
                        "database": "Pubmed",
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                            {
                                "evidence": "Urine HMGA1 was significantly elevated in serous epithelial ovarian cancer specimen relative to healthy control specimens with G3 specimens exhibiting higher levels than G1-G2 specimens. Furthermore, urine HMGA1 and serum CA-125 combined AUC indicated that urine HMGA1 is an excellent diagnostic biomarker for serous epithelial ovarian cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
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                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
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                    {
                        "evidence": "Urine HMGA1 was significantly elevated in serous epithelial ovarian cancer specimen relative to healthy control specimens with G3 specimens exhibiting higher levels than G1-G2 specimens. Furthermore, urine HMGA1 and serum CA-125 combined AUC indicated that urine HMGA1 is an excellent diagnostic biomarker for serous epithelial ovarian cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Increases urinary HMGA1 in serous epithelial ovarian cancer patients.",
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                "authors": "Zhou J, Xie M, He H, Shi Y, Luo B, Gong G, Li J, Wang J, Wu X, Wen J",
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        ],
        "biomarker_canonical_id": "AA4950",
        "collision": 1
    },
    {
        "biomarker_id": "AN4212-1",
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            {
                "biomarker": "increased IL1RN level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-1 receptor antagonist",
                    "synonyms": [
                        {
                            "synonym": "IL-1RN"
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                        {
                            "synonym": "IL-1ra"
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                        {
                            "synonym": "IRAP"
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                        {
                            "synonym": "ICIL-1RA"
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                        {
                            "synonym": "IL1 inhibitor"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P18510",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
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                "evidence_source": [
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                        "id": "33238942",
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                            {
                                "evidence": "IL1RN showed higher expression levels and lower methylation levels in PTC tissues than in normal tissues. IL1RN is a good prognostic and diagnostic biomarker for PTC. IL1RN may promote thyroid cancer progression through immune-related pathways."
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                        ],
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                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                ]
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        ],
        "best_biomarker_role": [
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            "synonyms": [
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                {
                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
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                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
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            ]
        },
        "evidence_source": [
            {
                "id": "33238942",
                "database": "Pubmed",
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                    {
                        "evidence": "IL1RN showed higher expression levels and lower methylation levels in PTC tissues than in normal tissues. IL1RN is a good prognostic and diagnostic biomarker for PTC. IL1RN may promote thyroid cancer progression through immune-related pathways."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods.",
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                "authors": "Xie Z, Li X, He Y, Wu S, Wang S, Sun J, He Y, Lun Y, Xin S, Zhang J",
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        "biomarker_canonical_id": "AN4212",
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    {
        "biomarker_id": "AA4952-1",
        "biomarker_component": [
            {
                "biomarker": "decreased BTG1 level",
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                        {
                            "synonym": "B-cell translocation gene 1 protein"
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                },
                "assessed_biomarker_entity_id": "UPKB:P62324",
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                    {
                        "name": "thyroid gland",
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                ],
                "evidence_source": [
                    {
                        "id": "25017022",
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                            {
                                "evidence": "We determined the expression and function of B cell translocation gene 1 (BTG1) in thyroid carcinoma. Thyroid samples were obtained from cancer lesions (n=83) and adjacent normal tissue (n=35) in thyroid cancer patients immediately after endoscopic biopsy. TG1 protein expression was significantly lower in thyroid cancer tissue biopsies compared to normal tissue. Reduced BTG1 expression is associated with increased disease severity, suggesting it is a negative regulator of thyroid cancer and can serve as a prognostic indicator."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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        "best_biomarker_role": [
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                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
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            {
                "id": "25017022",
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                    {
                        "evidence": "We determined the expression and function of B cell translocation gene 1 (BTG1) in thyroid carcinoma. Thyroid samples were obtained from cancer lesions (n=83) and adjacent normal tissue (n=35) in thyroid cancer patients immediately after endoscopic biopsy. TG1 protein expression was significantly lower in thyroid cancer tissue biopsies compared to normal tissue. Reduced BTG1 expression is associated with increased disease severity, suggesting it is a negative regulator of thyroid cancer and can serve as a prognostic indicator."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
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                "title": "BTG1 expression in thyroid carcinoma: diagnostic indicator and prognostic marker.",
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        ],
        "biomarker_canonical_id": "AA4952",
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    },
    {
        "biomarker_id": "AA4953-1",
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            {
                "biomarker": "increased CAP2 level",
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                            "synonym": "CAP 2"
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                "assessed_biomarker_entity_id": "UPKB:P40123",
                "assessed_entity_type": "protein",
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                ],
                "evidence_source": [
                    {
                        "id": "32211793",
                        "database": "Pubmed",
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                        "evidence_list": [
                            {
                                "evidence": "Multivariate analyses showed that CAP2 expression in ovarian cancer is an independent prognostic factor for recurrence-free survival (P = 0.019). CAP2 expression is upregulated in aggressive histologic types of epithelial ovarian cancer and serves as a novel prognostic biomarker for patient survival."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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        ],
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        ],
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                {
                    "id": "DOID:2394",
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                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
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                {
                    "id": "DOID:2394",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
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            ]
        },
        "evidence_source": [
            {
                "id": "32211793",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "Multivariate analyses showed that CAP2 expression in ovarian cancer is an independent prognostic factor for recurrence-free survival (P = 0.019). CAP2 expression is upregulated in aggressive histologic types of epithelial ovarian cancer and serves as a novel prognostic biomarker for patient survival."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Upregulation of cyclase-associated actin cytoskeleton regulatory protein 2 in epithelial ovarian cancer correlates with aggressive histologic types and worse outcomes.",
                "journal": "Japanese journal of clinical oncology",
                "authors": "Adachi M, Masugi Y, Yamazaki K, Emoto K, Kobayashi Y, Tominaga E, Banno K, Aoki D, Sakamoto M",
                "date": "2020-03-27",
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                ]
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        ],
        "biomarker_canonical_id": "AA4953",
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    },
    {
        "biomarker_id": "AA4954-1",
        "biomarker_component": [
            {
                "biomarker": "increased RNF126 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "RING finger protein 126",
                    "synonyms": [
                        {
                            "synonym": "RING finger protein 126"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q9BV68",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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                "evidence_source": [
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                            {
                                "evidence": "Upregulated protein level of RNF126 in EOC tissues is a biomarker predicting poor outcomes of EOC patients."
                            }
                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
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                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
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            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
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                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
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                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
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            {
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                "evidence_list": [
                    {
                        "evidence": "Upregulated protein level of RNF126 in EOC tissues is a biomarker predicting poor outcomes of EOC patients."
                    }
                ],
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                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "High Expression of RING Finger Protein 126 Predicts Unfavorable Prognosis of Epithelial Ovarian Cancer.",
                "journal": "Medical science monitor : international medical journal of experimental and clinical research",
                "authors": "Wang C, Wen A, Qiao J, Liu Y, Guo Y, Wang W",
                "date": "2020-04-08",
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                    {
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        "collision": 1
    },
    {
        "biomarker_id": "AA4955-1",
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            {
                "biomarker": "increased KLK10 level",
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                    "recommended_name": "Kallikrein-10",
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                        {
                            "synonym": "Normal epithelial cell-specific 1"
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                        {
                            "synonym": "Protease serine-like 1"
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                },
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                "assessed_entity_type": "protein",
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                    {
                        "name": "blood",
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                                "evidence": "HK10 concentration is significantly elevated in serum of presurgical ovarian cancer patients (range: 106-11,746 ng/liter; mean = 1067 ng/liter) but not in serum of patients with benign gynecologic diseases (range: 120-1200 ng/liter; mean = 447 ng/liter). Serum hK10 represents a novel biomarker for ovarian cancer. We conclude that preoperative serum hK10 concentration is a strong and independent unfavorable prognostic marker for ovarian cancer."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
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                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
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                {
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                {
                    "id": "DOID:2394",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
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                {
                    "id": "DOID:2394",
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                    {
                        "evidence": "HK10 concentration is significantly elevated in serum of presurgical ovarian cancer patients (range: 106-11,746 ng/liter; mean = 1067 ng/liter) but not in serum of patients with benign gynecologic diseases (range: 120-1200 ng/liter; mean = 447 ng/liter). Serum hK10 represents a novel biomarker for ovarian cancer. We conclude that preoperative serum hK10 concentration is a strong and independent unfavorable prognostic marker for ovarian cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The serum concentration of human kallikrein 10 represents a novel biomarker for ovarian cancer diagnosis and prognosis.",
                "journal": "Cancer research",
                "authors": "Luo LY, Katsaros D, Scorilas A, Fracchioli S, Bellino R, van Gramberen M, de Bruijn H, Henrik A, Stenman UH, Massobrio M, van der Zee AG, Vergote I, Diamandis EP",
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                    {
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        "biomarker_canonical_id": "AA4955",
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    {
        "biomarker_id": "AA4956-1",
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            {
                "biomarker": "increased STAT3 level",
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                        ],
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                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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        ],
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            {
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                {
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                {
                    "id": "DOID:1781",
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                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
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                {
                    "id": "DOID:1781",
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                        "evidence": "Expression of STAT3 in all PTC primary tumors was 98% (40/41) and thus significantly higher than corresponding benign thyroid tissue."
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                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Upregulation of the signal transducers and activators of transcription 3 (STAT3) pathway in lymphatic metastases of papillary thyroid cancer.",
                "journal": "International journal of clinical and experimental pathology",
                "authors": "Zhang J, Gill A, Atmore B, Johns A, Delbridge L, Lai R, McMullen T",
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                        "name_space": "Uberon",
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                                "evidence": "The data demonstrated that eight genes associated with ApoE were differentially expressed, with six of these upregulated and two downregulated. Functionally, these genes were involved in the JAK-STAT cascade, acute-phase response, acute inflammatory response, and the steroid hormone response. Among these ApoE-associated genes, expression of the signal transducer and activator of transcription 2 (STAT2) and STAT3 transcription factors was upregulated. To the best of our knowledge, this is the first study to demonstrate the network of ApoE-related genes and transcription factors in gastric cancer. Additional studies are required in order to confirm these data and to translate the results into the identification of clinical biomarkers and novel treatment strategies for gastric cancer."
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                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Expression analysis of apolipoprotein E and its associated genes in gastric cancer.",
                "journal": "Oncology letters",
                "authors": "Shi X, Xu J, Wang J, Cui M, Gao Y, Niu H, Jin H",
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                            "synonym": "SPK 1"
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                        {
                            "synonym": "Acetyltransferase SPHK1"
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                "assessed_entity_type": "protein",
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                                "evidence": "Sphingosine kinase 1 is up-regulated in many different types of human malignancies and plays a crucial role in cancer development and progression. Sphingosine kinase 1 expression in papillary thyroid carcinoma tissue was significantly higher than in nodular goiter (p<0.001) or normal thyroid (p<0.001)  tissue."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
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                {
                    "id": "DOID:1781",
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                {
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                {
                    "id": "DOID:1781",
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                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
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                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
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                        "evidence": "Sphingosine kinase 1 is up-regulated in many different types of human malignancies and plays a crucial role in cancer development and progression. Sphingosine kinase 1 expression in papillary thyroid carcinoma tissue was significantly higher than in nodular goiter (p<0.001) or normal thyroid (p<0.001)  tissue."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Predictive Value of Sphingosine Kinase 1 Expression in Papillary Thyroid Carcinoma.",
                "journal": "Anticancer research",
                "authors": "Do SI, Kim HS, Kim K, Lee H, Do IG, Kim DH, Chae SW, Sohn JH",
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        "biomarker_id": "AA4958-1",
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                            "synonym": "Liver-related putative tumor suppressor"
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                            "synonym": "Pin2-interacting protein X1"
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                        {
                            "synonym": "Protein 67-11-3"
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                        {
                            "synonym": "TRF1-interacting protein 1"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96BK5",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
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                        "url": "http://purl.obolibrary.org/obo/UBERON_0002046",
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                        "id": "30026037",
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                            {
                                "evidence": "Immunohistochemistry for PINX1 was performed using a tissue microarray of samples taken from the 160 patients with PTC. PINX1 expression was significantly associated with tumor size, lymph node metastasis, telomerase reverse transcriptase, promoter mutation and recurrence. PINX1 mRNA expression was more pronounced in the recurrent group than in the nonrecurrent group. In addition, results of the binary logistic regression model showed that PINX1 protein expression had a significant influence on recurrence."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
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                            {
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                "id": "DOID:1781",
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                    "name": "neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30026037",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30026037",
                "evidence_list": [
                    {
                        "evidence": "Immunohistochemistry for PINX1 was performed using a tissue microarray of samples taken from the 160 patients with PTC. PINX1 expression was significantly associated with tumor size, lymph node metastasis, telomerase reverse transcriptase, promoter mutation and recurrence. PINX1 mRNA expression was more pronounced in the recurrent group than in the nonrecurrent group. In addition, results of the binary logistic regression model showed that PINX1 protein expression had a significant influence on recurrence."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The clinical significance of PINX1 expression in papillary thyroid carcinoma.",
                "journal": "Human pathology",
                "authors": "Kang J, Han K, Kim HJ, Park JH, Kong JS, Park S, Myung JK",
                "date": "2018-07-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "30026037",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30026037"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4958",
        "collision": 1
    },
    {
        "biomarker_id": "AA4959-1",
        "biomarker_component": [
            {
                "biomarker": "decreased PINX1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "PIN2/TERF1 interacting telomerase inhibitor 1",
                    "synonyms": [
                        {
                            "synonym": "Liver-related putative tumor suppressor"
                        },
                        {
                            "synonym": "Pin2-interacting protein X1"
                        },
                        {
                            "synonym": "Protein 67-11-3"
                        },
                        {
                            "synonym": "TRF1-interacting protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96BK5",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "kidney",
                        "id": "UBERON:0002113",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002113",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26033551",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26033551",
                        "evidence_list": [
                            {
                                "evidence": "PinX1 low expression staining was observed in 7 of 35 (20%) normal renal tissues, and 168 of 278 (60%) ccRCC tissues (P < 0.001) low PinX1 staining correlated with both worse overall and disease-specific survival in ccRCC (P = 0.002 and P = 0.002)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    },
                    {
                        "id": "31254127",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31254127",
                        "evidence_list": [
                            {
                                "evidence": "To further understand the molecular mechanism of PinX1 in renal cancer angiogenesis, we obtained the gene microarray to determine the downstream molecules of PinX1 in renal cancer. Surprisingly, PinX1 promoted the expression level of miR-125a-3p, which is a tumor suppressor of multiple oncogenes, including VEGF, CDK3, FUT5/6, and ERBB2/3."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26033551",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26033551",
                "evidence_list": [
                    {
                        "evidence": "PinX1 low expression staining was observed in 7 of 35 (20%) normal renal tissues, and 168 of 278 (60%) ccRCC tissues (P < 0.001) low PinX1 staining correlated with both worse overall and disease-specific survival in ccRCC (P = 0.002 and P = 0.002)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "31254127",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31254127",
                "evidence_list": [
                    {
                        "evidence": "To further understand the molecular mechanism of PinX1 in renal cancer angiogenesis, we obtained the gene microarray to determine the downstream molecules of PinX1 in renal cancer. Surprisingly, PinX1 promoted the expression level of miR-125a-3p, which is a tumor suppressor of multiple oncogenes, including VEGF, CDK3, FUT5/6, and ERBB2/3."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "PinX1 serves as a potential prognostic indicator for clear cell renal cell carcinoma and inhibits its invasion and metastasis by suppressing MMP-2 via NF-\u03baB-dependent transcription.",
                "journal": "Oncotarget",
                "authors": "Li HL, Han L, Chen HR, Meng F, Liu QH, Pan ZQ, Bai J, Zheng JN",
                "date": "2015-06-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "26033551",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26033551"
                    }
                ]
            },
            {
                "title": "PinX1 represses renal cancer angiogenesis via the mir-125a-3p/VEGF signaling pathway.",
                "journal": "Angiogenesis",
                "authors": "Hou P, Li H, Yong H, Chen F, Chu S, Zheng J, Bai J",
                "date": "2019-06-30",
                "evidence": [],
                "reference": [
                    {
                        "id": "31254127",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31254127"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4959",
        "collision": 1
    },
    {
        "biomarker_id": "AA4960-1",
        "biomarker_component": [
            {
                "biomarker": "decreased 5-MC GDNA level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Genomic DNA cytosine methylation",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "NCIt:C17961",
                "assessed_entity_type": "DNA",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "18339581",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/18339581",
                        "evidence_list": [
                            {
                                "evidence": "We have shown in a large case-control study that leucocyte DNA hypomethylation is associated with increased risk of developing bladder cancer, and this association is independent of smoking and the other assessed risk factors."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:11054",
            "recommended_name": {
                "id": "DOID:11054",
                "name": "urinary bladder cancer",
                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11054"
            },
            "synonyms": [
                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "18339581",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/18339581",
                "evidence_list": [
                    {
                        "evidence": "We have shown in a large case-control study that leucocyte DNA hypomethylation is associated with increased risk of developing bladder cancer, and this association is independent of smoking and the other assessed risk factors."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Genomic DNA hypomethylation as a biomarker for bladder cancer susceptibility in the Spanish Bladder Cancer Study: a case-control study.",
                "journal": "The Lancet. Oncology",
                "authors": "Moore LE, Pfeiffer RM, Poscablo C, Real FX, Kogevinas M, Silverman D, Garc\u00eda-Closas R, Chanock S, Tard\u00f3n A, Serra C, Carrato A, Dosemeci M, Garc\u00eda-Closas M, Esteller M, Fraga M, Rothman N, Malats N",
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                "evidence": [],
                "reference": [
                    {
                        "id": "18339581",
                        "type": "Pubmed",
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                ]
            }
        ],
        "biomarker_canonical_id": "AA4960",
        "collision": 1
    },
    {
        "biomarker_id": "AA4961-1",
        "biomarker_component": [
            {
                "biomarker": "increased DKK-1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Dickkopf-1",
                    "synonyms": [
                        {
                            "synonym": "Dickkopf-1"
                        },
                        {
                            "synonym": "Dkk-1"
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                        {
                            "synonym": "hDkk-1"
                        },
                        {
                            "synonym": "SK"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O94907",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "18561248",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/18561248",
                        "evidence_list": [
                            {
                                "evidence": "DKK-1 expression index (EI) was found to increase in PIN and primary lesions compared to non-neoplastic tissue (106\u00b110 vs. 19\u00b16, respectively, where the EI is the product of the percent expression and staining intensity). DKK-1 expression was also found to be higher in all PCa metastatic lesions (56\u00b121 EI) compared to non-neoplastic tissues but was significantly decreased vs. primary PCa lesions (p<0.008). The decline in DKK-1 correlated with a shift of beta-catenin staining from the nucleus to the cytoplasm suggesting possible mechanism for the observed decrease in DKK-1 levels during PCa progression. Within metastatic lesions, DKK-1 expression was least abundant in PCa bone metastases relative to all soft tissue PCa metastatic lesions except lymph node metastases. High DKK-1 expression within PCa metastases was further associated with shorter over-all patient survival."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "18561248",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "DKK-1 expression index (EI) was found to increase in PIN and primary lesions compared to non-neoplastic tissue (106\u00b110 vs. 19\u00b16, respectively, where the EI is the product of the percent expression and staining intensity). DKK-1 expression was also found to be higher in all PCa metastatic lesions (56\u00b121 EI) compared to non-neoplastic tissues but was significantly decreased vs. primary PCa lesions (p<0.008). The decline in DKK-1 correlated with a shift of beta-catenin staining from the nucleus to the cytoplasm suggesting possible mechanism for the observed decrease in DKK-1 levels during PCa progression. Within metastatic lesions, DKK-1 expression was least abundant in PCa bone metastases relative to all soft tissue PCa metastatic lesions except lymph node metastases. High DKK-1 expression within PCa metastases was further associated with shorter over-all patient survival."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Dickkopf-1 expression increases early in prostate cancer development and decreases during progression from primary tumor to metastasis.",
                "journal": "The Prostate",
                "authors": "Hall CL, Daignault SD, Shah RB, Pienta KJ, Keller ET",
                "date": "2008-06-19",
                "evidence": [],
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                    {
                        "id": "18561248",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/18561248"
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        ],
        "biomarker_canonical_id": "AA4961",
        "collision": 1
    },
    {
        "biomarker_id": "AA4962-1",
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            {
                "biomarker": "increased DPP-4 level",
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                    "recommended_name": "Dipeptidyl peptidase-IV",
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                        {
                            "synonym": "ADABP"
                        },
                        {
                            "synonym": "Adenosine deaminase complexing protein 2"
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                        {
                            "synonym": "ADCP-2"
                        },
                        {
                            "synonym": "Dipeptidyl peptidase IV"
                        },
                        {
                            "synonym": "DPP IV"
                        },
                        {
                            "synonym": "T-cell activation antigen CD26"
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                        {
                            "synonym": "TP103"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P27487",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
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                "evidence_source": [
                    {
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                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30594915",
                        "evidence_list": [
                            {
                                "evidence": "The serum DPP-IV concentration was measured in 171 male patients with PTC, 81 male patients with a benign thyroid nodule (BTN), and 52 male healthy controls (HCs). he ROC curve indicated a good performance of DPP-IV for discriminating PTC from BTN, with an area under the curve (AUC) of 0.881 (95% CI, 0.840-0.922). Serum DPP-IV demonstrated a modest performance in predicting nonstructurally persistent disease/recurrent disease (NSPRD) survival."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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                    }
                ]
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        ],
        "best_biomarker_role": [
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                "role": "predictive"
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        ],
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                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
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                "url": "http://purl.obolibrary.org/obo/DOID_1781"
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            "synonyms": [
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                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30594915",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30594915",
                "evidence_list": [
                    {
                        "evidence": "The serum DPP-IV concentration was measured in 171 male patients with PTC, 81 male patients with a benign thyroid nodule (BTN), and 52 male healthy controls (HCs). he ROC curve indicated a good performance of DPP-IV for discriminating PTC from BTN, with an area under the curve (AUC) of 0.881 (95% CI, 0.840-0.922). Serum DPP-IV demonstrated a modest performance in predicting nonstructurally persistent disease/recurrent disease (NSPRD) survival."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Predictive significance of serum dipeptidyl peptidase-IV in papillary thyroid carcinoma.",
                "journal": "Cancer biomarkers : section A of Disease markers",
                "authors": "Zhang N, Cong X, Zhou D, Guo L, Yuan C, Xu D, Su C",
                "date": "2018-12-31",
                "evidence": [],
                "reference": [
                    {
                        "id": "30594915",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30594915"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4962",
        "collision": 1
    },
    {
        "biomarker_id": "AA4963-1",
        "biomarker_component": [
            {
                "biomarker": "increased CHL1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Close homolog of L1",
                    "synonyms": [
                        {
                            "synonym": "Close homolog of L1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O00533",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
                        "id": "UBERON:0002046",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002046",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "30311656",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30311656",
                        "evidence_list": [
                            {
                                "evidence": "CHL1 was found to have greater than 15-fold higher expression in fragments per kilobase million in HCC compared with benign Hurthle cell tumors. This was confirmed by qRT-PCR. Moreover, the immunoreactivity score of the CHL1 protein was significantly higher in HCC compared with benign H\u00fcrthle cell nodules. Moreover, the immunoreactivity score of the CHL1 protein was significantly higher in HCC compared with benign H\u00fcrthle cell nodules. CHL1 expression may represent a novel and useful prognostic biomarker to distinguish HCC from benign H\u00fcrthle cell disease."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1781",
            "recommended_name": {
                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1781"
            },
            "synonyms": [
                {
                    "id": "DOID:1781",
                    "name": "neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "30311656",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/30311656",
                "evidence_list": [
                    {
                        "evidence": "CHL1 was found to have greater than 15-fold higher expression in fragments per kilobase million in HCC compared with benign Hurthle cell tumors. This was confirmed by qRT-PCR. Moreover, the immunoreactivity score of the CHL1 protein was significantly higher in HCC compared with benign H\u00fcrthle cell nodules. Moreover, the immunoreactivity score of the CHL1 protein was significantly higher in HCC compared with benign H\u00fcrthle cell nodules. CHL1 expression may represent a novel and useful prognostic biomarker to distinguish HCC from benign H\u00fcrthle cell disease."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "CHL1 expression differentiates H\u00fcrthle cell carcinoma from benign H\u00fcrthle cell nodules.",
                "journal": "Journal of surgical oncology",
                "authors": "Li W, Xia S, Aronova A, Min IM, Verma A, Scognamiglio T, Gray KD, Ullmann TM, Liang H, Moore MD, Elemento O, Zarnegar R, Fahey TJ",
                "date": "2018-10-13",
                "evidence": [],
                "reference": [
                    {
                        "id": "30311656",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30311656"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4963",
        "collision": 1
    },
    {
        "biomarker_id": "AA4964-1",
        "biomarker_component": [
            {
                "biomarker": "increased NPM level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Nucleophosmin",
                    "synonyms": [
                        {
                            "synonym": "NPM"
                        },
                        {
                            "synonym": "Nucleolar phosphoprotein B23"
                        },
                        {
                            "synonym": "Nucleolar protein NO38"
                        },
                        {
                            "synonym": "Numatrin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P06748",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "thyroid gland",
                        "id": "UBERON:0002046",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002046",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "20515654",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20515654",
                        "evidence_list": [
                            {
                                "evidence": "In these cells, a positive correlation between NPM protein levels, but not mRNA, and proliferation state was detected. By using thyroid tumor cell lines, we demonstrated that such a post-mRNA regulation may depend on NPM binding to p-Akt, whose levels were found to be increased in the tumor cells, in parallel with reduction of PTEN. In conclusion, our present data demonstrate for the first time that nucleophosmin is overexpressed in thyroid tumors, as an early event of thyroid tumorigenesis."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:1781",
            "recommended_name": {
                "id": "DOID:1781",
                "name": "thyroid gland cancer",
                "description": "An endocrine gland cancer located in the thryoid gland located in the neck below the thyroid cartilage.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1781"
            },
            "synonyms": [
                {
                    "id": "DOID:1781",
                    "name": "neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "thyroid gland cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant tumour of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "Thyroid gland neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                },
                {
                    "id": "DOID:1781",
                    "name": "malignant neoplasm of thyroid gland",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1781"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20515654",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20515654",
                "evidence_list": [
                    {
                        "evidence": "In these cells, a positive correlation between NPM protein levels, but not mRNA, and proliferation state was detected. By using thyroid tumor cell lines, we demonstrated that such a post-mRNA regulation may depend on NPM binding to p-Akt, whose levels were found to be increased in the tumor cells, in parallel with reduction of PTEN. In conclusion, our present data demonstrate for the first time that nucleophosmin is overexpressed in thyroid tumors, as an early event of thyroid tumorigenesis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Nucleophosmin is overexpressed in thyroid tumors.",
                "journal": "Biochemical and biophysical research communications",
                "authors": "Pianta A, Puppin C, Franzoni A, Fabbro D, Di Loreto C, Bulotta S, Deganuto M, Paron I, Tell G, Puxeddu E, Filetti S, Russo D, Damante G",
                "date": "2010-06-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "20515654",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20515654"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4964",
        "collision": 1
    },
    {
        "biomarker_id": "AN4213-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Actin gamma 1 gene amplification",
                    "synonyms": [
                        {
                            "synonym": "Gamma-actin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P63261",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "uterus",
                        "id": "UBERON:0000995",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000995",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "33217970",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33217970",
                        "evidence_list": [
                            {
                                "evidence": "Given that ACTG1 and MYLK2 amplifications or overexpression were consistently observed in uterine cancers, we sought to analyze their potential as uterine cancer biomarkers. We found that patients with ACTG1 gains in the UCEC cohort, relative to those without, had a worse prognosis, while patients with MYLK2 gains did not. Based on Kaplan-Meier curves, ACTG1 gains predicted significantly shorter overall survival (p-value = 6.198 \u00d7 10-4)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:363",
            "recommended_name": {
                "id": "DOID:363",
                "name": "uterine cancer",
                "description": "A female reproductive organ cancer that is located_in the uterus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_363"
            },
            "synonyms": [
                {
                    "id": "DOID:363",
                    "name": "uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "Tumour of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "uterus neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "33217970",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/33217970",
                "evidence_list": [
                    {
                        "evidence": "Given that ACTG1 and MYLK2 amplifications or overexpression were consistently observed in uterine cancers, we sought to analyze their potential as uterine cancer biomarkers. We found that patients with ACTG1 gains in the UCEC cohort, relative to those without, had a worse prognosis, while patients with MYLK2 gains did not. Based on Kaplan-Meier curves, ACTG1 gains predicted significantly shorter overall survival (p-value = 6.198 \u00d7 10-4)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Genomic Amplification and Functional Dependency of the Gamma Actin Gene ",
                "journal": "International journal of molecular sciences",
                "authors": "Richter C, Mayhew D, Rennhack JP, So J, Stover EH, Hwang JH, Szczesna-Cordary D",
                "date": "2020-11-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "33217970",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33217970"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4213",
        "collision": 1
    },
    {
        "biomarker_id": "AA4966-1",
        "biomarker_component": [
            {
                "biomarker": "Increased NDRG1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Differentiation-related gene 1 protein",
                    "synonyms": [
                        {
                            "synonym": "Differentiation-related gene 1 protein"
                        },
                        {
                            "synonym": "DRG-1"
                        },
                        {
                            "synonym": "N-myc downstream-regulated gene 1 protein"
                        },
                        {
                            "synonym": "Nickel-specific induction protein Cap43"
                        },
                        {
                            "synonym": "Reducing agents and tunicamycin-responsive protein"
                        },
                        {
                            "synonym": "RTP"
                        },
                        {
                            "synonym": "Rit42"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q92597",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "prostate gland",
                        "id": "UBERON:0002367",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002367",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "24386364",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/24386364",
                        "evidence_list": [
                            {
                                "evidence": "Increase in the expression of BTF3, HINT1, NDRG1 and ODC1 in malignant cores, diagnosed by histopathology, compared to non-malignant cores (p<0.0001, Mann Whitney U test). These results identify BTF3, HINT1, NDRG1 and ODC1 as proteins that are overexpressed in prostate cancer. NDRG1 could be a useful protein biomarker for prostate cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "24386364",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/24386364",
                "evidence_list": [
                    {
                        "evidence": "Increase in the expression of BTF3, HINT1, NDRG1 and ODC1 in malignant cores, diagnosed by histopathology, compared to non-malignant cores (p<0.0001, Mann Whitney U test). These results identify BTF3, HINT1, NDRG1 and ODC1 as proteins that are overexpressed in prostate cancer. NDRG1 could be a useful protein biomarker for prostate cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Quantitative analysis of BTF3, HINT1, NDRG1 and ODC1 protein over-expression in human prostate cancer tissue.",
                "journal": "PloS one",
                "authors": "Symes AJ, Eilertsen M, Millar M, Nariculam J, Freeman A, Notara M, Feneley MR, Patel HR, Masters JR, Ahmed A",
                "date": "2014-01-05",
                "evidence": [],
                "reference": [
                    {
                        "id": "24386364",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/24386364"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4966",
        "collision": 1
    },
    {
        "biomarker_id": "AA4967-1",
        "biomarker_component": [
            {
                "biomarker": "increased ERBB2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Receptor tyrosine-protein kinase erbB-2",
                    "synonyms": [
                        {
                            "synonym": "Metastatic lymph node gene 19 protein"
                        },
                        {
                            "synonym": "MLN 19"
                        },
                        {
                            "synonym": "Proto-oncogene Neu"
                        },
                        {
                            "synonym": "Proto-oncogene c-ErbB-2"
                        },
                        {
                            "synonym": "Tyrosine kinase-type cell surface receptor HER2"
                        },
                        {
                            "synonym": "p185erbB2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04626",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "10829039",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/10829039",
                        "evidence_list": [
                            {
                                "evidence": "Kaplan-Meier analysis (log-rank statistics) revealed a significant association of increasing expression of c-erbB-2 with shorter disease-free (P =. 0023) and overall survival (P =.0160). High amounts of p185 were significantly associated with a high expression of urokinase-type plasminogen activator (uPA) (P <.010), uPA-receptor (P =.030), type-1 plasminogen activator inhibitor (PAI) (P <.010), type-2 PAI (P =.021), cathepsin D (P =.036), matrix metalloproteinase-2 (P =. 024), alpha-1-antichymotrypsin (P =.025), and alpha-2-macroglobulin (P =.017). Multivariate analysis considering these proteases/protease inhibitors, in addition to alpha-1-antitrypsin, tissue plasminogen activator, plasminogen, alpha-2-antiplasmin, and antithrombin III, and established prognostic parameters revealed that, in addition to surgical curability, pT stage, pN stage, and PAI-1, c-erbB-2 is an independent prognostic factor for overall survival of curatively resected patients (n = 139; P =.049; relative risk, 1.54; 95% confidence interval, 1.08 to 1.67) and all patients (P =.028; relative risk 1.33; 95% CI, 1.28 to 1.38)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "10829039",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/10829039",
                "evidence_list": [
                    {
                        "evidence": "Kaplan-Meier analysis (log-rank statistics) revealed a significant association of increasing expression of c-erbB-2 with shorter disease-free (P =. 0023) and overall survival (P =.0160). High amounts of p185 were significantly associated with a high expression of urokinase-type plasminogen activator (uPA) (P <.010), uPA-receptor (P =.030), type-1 plasminogen activator inhibitor (PAI) (P <.010), type-2 PAI (P =.021), cathepsin D (P =.036), matrix metalloproteinase-2 (P =. 024), alpha-1-antichymotrypsin (P =.025), and alpha-2-macroglobulin (P =.017). Multivariate analysis considering these proteases/protease inhibitors, in addition to alpha-1-antitrypsin, tissue plasminogen activator, plasminogen, alpha-2-antiplasmin, and antithrombin III, and established prognostic parameters revealed that, in addition to surgical curability, pT stage, pN stage, and PAI-1, c-erbB-2 is an independent prognostic factor for overall survival of curatively resected patients (n = 139; P =.049; relative risk, 1.54; 95% confidence interval, 1.08 to 1.67) and all patients (P =.028; relative risk 1.33; 95% CI, 1.28 to 1.38)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "c-erbB-2 is of independent prognostic relevance in gastric cancer and is associated with the expression of tumor-associated protease systems.",
                "journal": "Journal of clinical oncology : official journal of the American Society of Clinical Oncology",
                "authors": "Allgayer H, Babic R, Gruetzner KU, Tarabichi A, Schildberg FW, Heiss MM",
                "date": "2000-06-01",
                "evidence": [],
                "reference": [
                    {
                        "id": "10829039",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/10829039"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4967",
        "collision": 1
    },
    {
        "biomarker_id": "AA4968-1",
        "biomarker_component": [
            {
                "biomarker": "increased RCAS1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Receptor-binding cancer antigen expressed on SiSo cells",
                    "synonyms": [
                        {
                            "synonym": "Cancer-associated surface antigen RCAS1"
                        },
                        {
                            "synonym": "Estrogen receptor-binding fragment-associated gene 9 protein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O00559",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "16842844",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16842844",
                        "evidence_list": [
                            {
                                "evidence": "Uterine cancer patients had significantly higher serum RCAS1 concentrations than did healthy women. The RCAS1 level was dramatically reduced in patients who had a positive response to treatment; however, the RCAS1 value increased in patients whose tumors clearly grew (P= 0.0007 and P= 0.0008, respectively) (Fig. 3)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:363",
            "recommended_name": {
                "id": "DOID:363",
                "name": "uterine cancer",
                "description": "A female reproductive organ cancer that is located_in the uterus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_363"
            },
            "synonyms": [
                {
                    "id": "DOID:363",
                    "name": "uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "Tumour of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "uterus neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "16842844",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/16842844",
                "evidence_list": [
                    {
                        "evidence": "Uterine cancer patients had significantly higher serum RCAS1 concentrations than did healthy women. The RCAS1 level was dramatically reduced in patients who had a positive response to treatment; however, the RCAS1 value increased in patients whose tumors clearly grew (P= 0.0007 and P= 0.0008, respectively) (Fig. 3)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Clinical significance of RCAS1 as a biomarker of uterine cancer.",
                "journal": "Gynecologic oncology",
                "authors": "Sonoda K, Miyamoto S, Hirakawa T, Yagi H, Yotsumoto F, Nakashima M, Watanabe T, Nakano H",
                "date": "2006-07-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "16842844",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/16842844"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4968",
        "collision": 1
    },
    {
        "biomarker_id": "AN4214-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Fibroblast growth factor receptor 2 gene amplification",
                    "synonyms": [
                        {
                            "synonym": "FGFR-2"
                        },
                        {
                            "synonym": "K-sam"
                        },
                        {
                            "synonym": "KGFR"
                        },
                        {
                            "synonym": "Keratinocyte growth factor receptor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21802",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": "48972-4"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23493349",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23493349",
                        "evidence_list": [
                            {
                                "evidence": "Amplification of the FGFR2 gene was identified in a subset of Chinese and Caucasian patients with gastric cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "23493349",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/23493349",
                "evidence_list": [
                    {
                        "evidence": "Amplification of the FGFR2 gene was identified in a subset of Chinese and Caucasian patients with gastric cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "FGFR2 gene amplification in gastric cancer predicts sensitivity to the selective FGFR inhibitor AZD4547.",
                "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research",
                "authors": "Xie L, Su X, Zhang L, Yin X, Tang L, Zhang X, Xu Y, Gao Z, Liu K, Zhou M, Gao B, Shen D, Zhang L, Ji J, Gavine PR, Zhang J, Kilgour E, Zhang X, Ji Q",
                "date": "2013-03-16",
                "evidence": [],
                "reference": [
                    {
                        "id": "23493349",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23493349"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4214",
        "collision": 1
    },
    {
        "biomarker_id": "AN4215-1",
        "biomarker_component": [
            {
                "biomarker": "increased copy number",
                "assessed_biomarker_entity": {
                    "recommended_name": "Hepatocyte growth factor receptor gene copy number",
                    "synonyms": [
                        {
                            "synonym": "HGF receptor"
                        },
                        {
                            "synonym": "HGF/SF receptor"
                        },
                        {
                            "synonym": "Proto-oncogene c-Met"
                        },
                        {
                            "synonym": "Scatter factor receptor"
                        },
                        {
                            "synonym": "SF receptor"
                        },
                        {
                            "synonym": "Tyrosine-protein kinase Met"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P08581",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "22042954",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22042954",
                        "evidence_list": [
                            {
                                "evidence": "In 216 assessable patients, MET CNG five or more copies and homozygous HGF-truncated DATE occurred in 21 patients (10%) and 30 patients (13%), respectively. Patients with MET CNG five or more copies (MET-positive) showed significantly worse prognosis with multivariate hazard ratio (HR) of 3.02 (95% CI, 1.71 to 5.33; P < .001) for DFS and multivariate HR of 2.91 (95% CI, 1.65 to 5.11; P < .001) for OS."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "22042954",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/22042954",
                "evidence_list": [
                    {
                        "evidence": "In 216 assessable patients, MET CNG five or more copies and homozygous HGF-truncated DATE occurred in 21 patients (10%) and 30 patients (13%), respectively. Patients with MET CNG five or more copies (MET-positive) showed significantly worse prognosis with multivariate hazard ratio (HR) of 3.02 (95% CI, 1.71 to 5.33; P < .001) for DFS and multivariate HR of 2.91 (95% CI, 1.65 to 5.11; P < .001) for OS."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Genetic activation of the MET pathway and prognosis of patients with high-risk, radically resected gastric cancer.",
                "journal": "Journal of clinical oncology : official journal of the American Society of Clinical Oncology",
                "authors": "Graziano F, Galluccio N, Lorenzini P, Ruzzo A, Canestrari E, D'Emidio S, Catalano V, Sisti V, Ligorio C, Andreoni F, Rulli E, Di Oto E, Fiorentini G, Zingaretti C, De Nictolis M, Cappuzzo F, Magnani M",
                "date": "2011-11-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "22042954",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22042954"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4215",
        "collision": 1
    },
    {
        "biomarker_id": "AN4216-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform gene amplification",
                    "synonyms": [
                        {
                            "synonym": "PI3-kinase subunit alpha"
                        },
                        {
                            "synonym": "PI3K-alpha"
                        },
                        {
                            "synonym": "PI3Kalpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit alpha"
                        },
                        {
                            "synonym": "Phosphatidylinositol 4,5-bisphosphate 3-kinase 110 kDa catalytic subunit alpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit p110-alpha"
                        },
                        {
                            "synonym": "p110alpha"
                        },
                        {
                            "synonym": "Phosphoinositide 3-kinase alpha"
                        },
                        {
                            "synonym": "Phosphoinositide-3-kinase catalytic alpha polypeptide"
                        },
                        {
                            "synonym": "Serine/threonine protein kinase PIK3CA"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P42336",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": "63419-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "22292935",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22292935",
                        "evidence_list": [
                            {
                                "evidence": "PIK3CA mutations and amplification were found in 8/113 (7.1%) and 88/131 (67%) gastric cancer patients, respectively. Our data showed that PIK3CA mutations were not common, but its amplification was very common in gastric cancer and may be a major mechanism in activating the PI3K/Akt pathway in gastric cancer. Importantly, Kaplan-Meier survival curves revealed that PIK3CA amplification was significantly positively associated with poor survival of gastric cancer patients. In the present study, a high prevalence of PIK3CA amplification was found in gastric cancer, which was significantly associated with poor prognosis of gastric cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "22292935",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/22292935",
                "evidence_list": [
                    {
                        "evidence": "PIK3CA mutations and amplification were found in 8/113 (7.1%) and 88/131 (67%) gastric cancer patients, respectively. Our data showed that PIK3CA mutations were not common, but its amplification was very common in gastric cancer and may be a major mechanism in activating the PI3K/Akt pathway in gastric cancer. Importantly, Kaplan-Meier survival curves revealed that PIK3CA amplification was significantly positively associated with poor survival of gastric cancer patients. In the present study, a high prevalence of PIK3CA amplification was found in gastric cancer, which was significantly associated with poor prognosis of gastric cancer patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Highly frequent PIK3CA amplification is associated with poor prognosis in gastric cancer.",
                "journal": "BMC cancer",
                "authors": "Shi J, Yao D, Liu W, Wang N, Lv H, Zhang G, Ji M, Xu L, He N, Shi B, Hou P",
                "date": "2012-02-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "22292935",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22292935"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4216",
        "collision": 1
    },
    {
        "biomarker_id": "AA4972-1",
        "biomarker_component": [
            {
                "biomarker": "decreased P2RX7 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "P2X purinoceptor 7",
                    "synonyms": [
                        {
                            "synonym": "P2X7"
                        },
                        {
                            "synonym": "ATP receptor"
                        },
                        {
                            "synonym": "P2Z receptor"
                        },
                        {
                            "synonym": "Purinergic receptor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99572",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "uterus",
                        "id": "UBERON:0000995",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000995",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "17035398",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17035398",
                        "evidence_list": [
                            {
                                "evidence": "The P2X7 is expressed predominantly in the epithelial components of the uterus, (a) Levels of the P2X(7) are lower in uterine epithelial cancer tissues than in the corresponding normal tissues. (b) The data suggest that tissue P2X(7) mRNA and protein levels could be used as a novel biomarker to differentiate normal and cancer uterine epithelial tissues. Uterine epithelial cancerous lesions lack expression of the P2X7."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:363",
            "recommended_name": {
                "id": "DOID:363",
                "name": "uterine cancer",
                "description": "A female reproductive organ cancer that is located_in the uterus.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_363"
            },
            "synonyms": [
                {
                    "id": "DOID:363",
                    "name": "uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "Tumour of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant uterine tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "uterus neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "17035398",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/17035398",
                "evidence_list": [
                    {
                        "evidence": "The P2X7 is expressed predominantly in the epithelial components of the uterus, (a) Levels of the P2X(7) are lower in uterine epithelial cancer tissues than in the corresponding normal tissues. (b) The data suggest that tissue P2X(7) mRNA and protein levels could be used as a novel biomarker to differentiate normal and cancer uterine epithelial tissues. Uterine epithelial cancerous lesions lack expression of the P2X7."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The P2X7 receptor: a novel biomarker of uterine epithelial cancers.",
                "journal": "Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology",
                "authors": "Li X, Zhou L, Feng YH, Abdul-Karim FW, Gorodeski GI",
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                    {
                        "id": "17035398",
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    {
        "biomarker_id": "AA4973-1",
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            {
                "biomarker": "increased KLK6 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Kallikrein-6",
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                        {
                            "synonym": "Neurosin"
                        },
                        {
                            "synonym": "Protease M"
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                        {
                            "synonym": "SP59"
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                        {
                            "synonym": "Serine protease 18"
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                        {
                            "synonym": "Serine protease 9"
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                        {
                            "synonym": "Zyme"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q92876",
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                    {
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
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        ],
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            {
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                "id": "DOID:363",
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                {
                    "id": "DOID:363",
                    "name": "uterine tumor",
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                {
                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
                    "name": "malignant uterine tumor",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
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                {
                    "id": "DOID:363",
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        "citation": [
            {
                "title": "Human kallikrein 6: a new potential serum biomarker for uterine serous papillary cancer.",
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                                "evidence": "These findings attest to oncosuppressive role of the studied microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) in the pathogenesis and progress of ovarian cancer and indicated their prognostic potential."
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                        ],
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                                "tag": "biomarker"
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                                "tag": "assessed_biomarker_entity"
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            {
                "title": "Five Hypermethylated MicroRNA Genes as Potential Markers of Ovarian Cancer.",
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                                "evidence": "By cDNA array analysis, ADAMTS8, ECM1, MMP8, PLAU, SELP, and TMPRSS4 were upregulated, and by quantitative PCR, ECM1, SELP, and TMPRSS4 mRNA expression was higher in malignant (n = 57) than in benign (n = 38) thyroid neoplasms. Combining both markers improved their diagnostic use (AUC 0.985; sensitivity, 91.7%; specificity, 89.8%; positive predictive value, 85.7%; negative predictive value, 82.8%). ECM1 and TMPRSS4 expression analysis improved the diagnostic accuracy of FNA biopsy in 35 of 38 indeterminate or suspicious results."
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                "title": "ECM1 and TMPRSS4 are diagnostic markers of malignant thyroid neoplasms and improve the accuracy of fine needle aspiration biopsy.",
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                        "evidence": "Our data indicate that the CYP17 A2 allele polymorphism may confer an increased risk and can provide a biomarker for ovarian cancer patients in whom no mutations in the BRCA genes are observed."
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                "title": "Are CYP17 genotypes a biomarker for ovarian cancer in patients with cancer history in their family?",
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                            }
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                        "evidence": "Women with higher pre-treatment GGT serum levels showed impaired Overall Survival (OS) compared to women with normal low levels. Higher pre-treatment GGT serum levels were independently associated with unfavorable prognosis in women with ULMS. Thus, GGT seems to be a useful novel biomarker in ULMS."
                    }
                ],
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        "citation": [
            {
                "title": "Gamma-glutamyltransferase as novel biomarker in patients with uterine leiomyosarcoma.",
                "journal": "Scientific reports",
                "authors": "Schwameis R, Grimm C, Brodowicz T, Petru E, Hefler-Frischmuth K, Staudigl C, Reinthaller A, Heinze G, Polterauer S, Polterauer M",
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                    {
                        "id": "27646551",
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            {
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                            "synonym": "Macropain chain 7"
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                        {
                            "synonym": "Multicatalytic endopeptidase complex chain 7"
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                        {
                            "synonym": "Proteasome chain 7"
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                        {
                            "synonym": "Proteasome subunit beta-1i"
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                        {
                            "synonym": "Really interesting new gene 12 protein"
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                },
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                        "name": "uterus",
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                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                {
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                {
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                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:363",
                    "name": "uterus neoplasm",
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                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "A novel diagnostic biomarker for human uterine leiomyosarcoma: PSMB9/\u03b21i.",
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                        {
                            "synonym": "Chemokine orphan receptor 1"
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                        {
                            "synonym": "RDC-1"
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                },
                "assessed_biomarker_entity_id": "UPKB:P25106",
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                    {
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                        ],
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                            {
                                "tag": "biomarker"
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                            {
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                {
                    "id": "DOID:5041",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Distal Third of esophagus",
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                    "id": "DOID:5041",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of the middle Third of the esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of lower third of oesophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of distal third of esophagus",
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                {
                    "id": "DOID:5041",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
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                        "evidence": "High CXCR7 expression was associated with poor prognosis in patients with EAC, and high expression of CXCR7 with its ligand CXCL12 had a stronger association with prognosis. High CXCR7 expression was significantly associated with lymphatic invasion (present vs absent, P = 0.005) and higher number of lymph node metastases (pN0-1 vs pN2-3, P = 0.0014)."
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                ],
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                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Prognostic Impact of CXCR7 and CXCL12 Expression in Patients with Esophageal Adenocarcinoma.",
                "journal": "Annals of surgical oncology",
                "authors": "Goto M, Shibahara Y, Baciu C, Allison F, Yeung JC, Darling GE, Liu M",
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                            "synonym": "C-X-C motif chemokine 12"
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                            "synonym": "IRH"
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                            "synonym": "hIRH"
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                            "synonym": "Pre-B cell growth-stimulating factor"
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                            "synonym": "PBSF"
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                "assessed_biomarker_entity_id": "UPKB:P48061",
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                    "id": "DOID:5041",
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                    "id": "DOID:5041",
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                {
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                {
                    "id": "DOID:5041",
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                {
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                    "id": "DOID:5041",
                    "name": "malignant neoplasm of upper third esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant neoplasm of proximal third of esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "malignant tumor of Proximal Third of esophagus",
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                {
                    "id": "DOID:5041",
                    "name": "esophagus cancer",
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                        "evidence": "Immunohistochemistry revealed positive CXCR4 and CXCL12 expression in 48 (61 %) and 62 (78 %) patients, respectively. The MIB-1 proliferation index was markedly higher in ESCC with a positive expression of CXCR4 or CXCL12."
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            {
                "title": "CXCL12 expression promotes esophageal squamous cell carcinoma proliferation and worsens the prognosis.",
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                            "synonym": "18 kDa antrum mucosa protein"
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                    "id": "DOID:10534",
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                        "evidence": "The present study investigated GNK1 expression in different mucosa biopsy specimens from gastric cancer, cancer-adjacent lesions, atrophic gastritis and normal control subjects (superficial gastritis patients). We found that GKN1 mRNA expression was progressively downregulated from corresponding distant non-tumour tissues to tumour tissues, and was lower than in the control tissues of both groups. This suggested that low or absent expression of GKN1 may contribute to gastric carcinogenesis. This is consistent with a previous study that demonstrated decreased GKN1 expression in gastric cancer tissues. In addition, we analysed GKN1 expression in two types of gastric cancer and found that the mRNA level of GKN1 was lower in patients with diffuse type gastric cancer. This indicates that GKN1 may be related to tumour classification."
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                ],
                "tags": [
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                        "tag": "condition"
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        "citation": [
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                "title": "Decreased expression of gastrokine 1 in gastric mucosa of gastric cancer patients.",
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    {
        "biomarker_id": "AN4221-1",
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                "biomarker": "increased methylation",
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                            "synonym": "Nuclear receptor subfamily 1 group F member 1"
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                            "synonym": "RAR-related orphan receptor A"
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                            "synonym": "Retinoid-related orphan receptor-alpha"
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                },
                "assessed_biomarker_entity_id": "UPKB:P35398",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
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                            {
                                "evidence": "When considering progressive stages, 2 patterns were evident: (1) type 1 markers, showing consistently high levels of methylation in both gastric dysplasia and cancer (MINT25 and GDNF); (2) type 2 markers, showing high levels of methylation in early gastric cancer and gastric dysplasia but decreased levels in advanced gastric cancer (RORA, ADAM23, PRDM5, and MLF1). Of interest, use of the type 2 markers showed higher methylation levels in gastric dysplasia than in advanced gastric cancer (P < .001), which is consistent with our studies in ulcerative colitis and colon cancer. RORA and MINT25 were more hypermethylated in intestinal type GCs than those of diffuse type GCs, whereas CDH1 showed opposite patterns of methylation."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
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                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
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        "evidence_source": [
            {
                "id": "19375421",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "When considering progressive stages, 2 patterns were evident: (1) type 1 markers, showing consistently high levels of methylation in both gastric dysplasia and cancer (MINT25 and GDNF); (2) type 2 markers, showing high levels of methylation in early gastric cancer and gastric dysplasia but decreased levels in advanced gastric cancer (RORA, ADAM23, PRDM5, and MLF1). Of interest, use of the type 2 markers showed higher methylation levels in gastric dysplasia than in advanced gastric cancer (P < .001), which is consistent with our studies in ulcerative colitis and colon cancer. RORA and MINT25 were more hypermethylated in intestinal type GCs than those of diffuse type GCs, whereas CDH1 showed opposite patterns of methylation."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Sensitive and specific detection of early gastric cancer with DNA methylation analysis of gastric washes.",
                "journal": "Gastroenterology",
                "authors": "Watanabe Y, Kim HS, Castoro RJ, Chung W, Estecio MR, Kondo K, Guo Y, Ahmed SS, Toyota M, Itoh F, Suk KT, Cho MY, Shen L, Jelinek J, Issa JP",
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        "biomarker_canonical_id": "AN4221",
        "collision": 1
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    {
        "biomarker_id": "AA4983-1",
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            {
                "biomarker": "increased COX-2 level",
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                        {
                            "synonym": "Cyclooxygenase-2"
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                            "synonym": "COX-2"
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                        {
                            "synonym": "PHS II"
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                        {
                            "synonym": "Prostaglandin H2 synthase 2"
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                        {
                            "synonym": "PGH synthase 2"
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                        {
                            "synonym": "PGHS-2"
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                        {
                            "synonym": "Prostaglandin-endoperoxide synthase 2"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P35354",
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                    {
                        "name": "uterus",
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                "evidence_source": [
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                            {
                                "evidence": "COX-2 overexpression was noted in one third of the cases in both early and advanced stage disease. These patients fared significantly worse than those without COX-2 overexpression."
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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        "best_biomarker_role": [
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                "id": "DOID:363",
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                {
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                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
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                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
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                    {
                        "evidence": "COX-2 overexpression was noted in one third of the cases in both early and advanced stage disease. These patients fared significantly worse than those without COX-2 overexpression."
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                ],
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                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "COX-2, c-KIT and HER-2/neu expression in uterine carcinosarcomas: prognostic factors or potential markers for targeted therapies?",
                "journal": "Gynecologic oncology",
                "authors": "Raspollini MR, Susini T, Amunni G, Paglierani M, Taddei A, Marchionni M, Scarselli G, Taddei GL",
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                    {
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        ],
        "biomarker_canonical_id": "AA4983",
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    {
        "biomarker_id": "AA4984-1",
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                "biomarker": "increased NAV2 level",
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                            "synonym": "Helicase APC down-regulated 1"
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                            "synonym": "Retinoic acid inducible in neuroblastoma 1"
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                            "synonym": "Steerin-2"
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                        {
                            "synonym": "Unc-53 homolog 2"
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                            "synonym": "unc53H2"
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                "assessed_biomarker_entity_id": "UPKB:Q8IVL1",
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                            {
                                "evidence": "The presence of any degree of NAV2, assessed in 159 of these patients who had informative cores, was significantly related to shorter Overall Survival (OS) (p = 0.037; Fig. 2a). Expression was analyzed for association with clinicopathologic parameters and survival. TGLN (p < 0.001), NAV2 (p < 0.001), and FABP3 (p = 0.005) were overexpressed in LMS compared to LG-ESS, whereas nuclear CCND2 (p < 0.001) was overexpressed in LG-ESS. NAV2 and CCND2 are novel candidate prognostic markers in LMS and LG-ESS, respectively."
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                        ],
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                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                    {
                        "evidence": "The presence of any degree of NAV2, assessed in 159 of these patients who had informative cores, was significantly related to shorter Overall Survival (OS) (p = 0.037; Fig. 2a). Expression was analyzed for association with clinicopathologic parameters and survival. TGLN (p < 0.001), NAV2 (p < 0.001), and FABP3 (p = 0.005) were overexpressed in LMS compared to LG-ESS, whereas nuclear CCND2 (p < 0.001) was overexpressed in LG-ESS. NAV2 and CCND2 are novel candidate prognostic markers in LMS and LG-ESS, respectively."
                    }
                ],
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            {
                "title": "Neuron navigator-2 and cyclin D2 are new candidate prognostic markers in uterine sarcoma.",
                "journal": "Virchows Archiv : an international journal of pathology",
                "authors": "Davidson B, Hellesylt E, Holth A, Danielsen HE, Skeie-Jensen T, Katz B",
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    {
        "biomarker_id": "AA4985-1",
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                "biomarker": "increased CCND2 level",
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                "assessed_biomarker_entity_id": "UPKB:P30279",
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                                "evidence": "The presence of nuclear CCND2 expression in >10% tumor cells, assessed in 62 of these patients who had informative cores, was significantly related to longer Overall Survival (OS) (p = 0.012; Fig. 2b). TGLN (p < 0.001), NAV2 (p < 0.001), and FABP3 (p = 0.005) were overexpressed in LMS compared to LG ESS, whereas nuclear CCND2 (p < 0.001) was overexpressed in LG-ESS. NAV2 expression was associated with shorter overall survival in patients with LMS (p = 0.037), whereas nuclear CCND2 expression in LG-ESS was significantly related to longer survival (p = 0.012) in univariate analysis. Nuclear CCND2 expression was an independent prognosticator in Cox multivariate analysis (p = 0.023). In conclusion, TGLN, FABP3, NAV2, and nuclear CCND2 aid in differentiating LG-ESS from LMS. NAV2 and CCND2 are novel candidate prognostic markers in LMS and LG-ESS, respectively."
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                        ],
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                                "tag": "biomarker"
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                {
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                    "id": "DOID:363",
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                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
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                {
                    "id": "DOID:363",
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        "evidence_source": [
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                    {
                        "evidence": "The presence of nuclear CCND2 expression in >10% tumor cells, assessed in 62 of these patients who had informative cores, was significantly related to longer Overall Survival (OS) (p = 0.012; Fig. 2b). TGLN (p < 0.001), NAV2 (p < 0.001), and FABP3 (p = 0.005) were overexpressed in LMS compared to LG ESS, whereas nuclear CCND2 (p < 0.001) was overexpressed in LG-ESS. NAV2 expression was associated with shorter overall survival in patients with LMS (p = 0.037), whereas nuclear CCND2 expression in LG-ESS was significantly related to longer survival (p = 0.012) in univariate analysis. Nuclear CCND2 expression was an independent prognosticator in Cox multivariate analysis (p = 0.023). In conclusion, TGLN, FABP3, NAV2, and nuclear CCND2 aid in differentiating LG-ESS from LMS. NAV2 and CCND2 are novel candidate prognostic markers in LMS and LG-ESS, respectively."
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                ],
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        "citation": [
            {
                "title": "Neuron navigator-2 and cyclin D2 are new candidate prognostic markers in uterine sarcoma.",
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        "biomarker_canonical_id": "AA4985",
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        "biomarker_id": "AA4986-1",
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                "biomarker": "increased TAGLN level",
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                            "synonym": "22 kDa actin-binding protein"
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                                "evidence": "For the diagnosis of leiomyosarcomas versus all other sarcomas including GIST, transgelin emerged as the best diagnostic marker with 83% Se, 82% Sp, a PPV of 67%, a NPV of 92% and an accuracy rate of 83%."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
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            "synonyms": [
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                {
                    "id": "DOID:363",
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                {
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                {
                    "id": "DOID:363",
                    "name": "malignant uterine tumor",
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                {
                    "id": "DOID:363",
                    "name": "malignant neoplasm of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
                    "name": "CA - cancer of uterus",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_363"
                },
                {
                    "id": "DOID:363",
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        "evidence_source": [
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                        "evidence": "For the diagnosis of leiomyosarcomas versus all other sarcomas including GIST, transgelin emerged as the best diagnostic marker with 83% Se, 82% Sp, a PPV of 67%, a NPV of 92% and an accuracy rate of 83%."
                    }
                ],
                "tags": [
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        ],
        "citation": [
            {
                "title": "Transgelin is a novel marker of smooth muscle differentiation that improves diagnostic accuracy of leiomyosarcomas: a comparative immunohistochemical reappraisal of myogenic markers in 900 soft tissue tumors.",
                "journal": "Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc",
                "authors": "Robin YM, Penel N, P\u00e9rot G, Neuville A, V\u00e9lasco V, Ranch\u00e8re-Vince D, Terrier P, Coindre JM",
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            {
                "title": "The oncofetal protein IMP3: a novel biomarker for endometrial serous carcinoma.",
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                "title": "Immunohistochemical expression of CD10 antigen in uterine adenosarcoma.",
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                "title": "CD10 is a sensitive and diagnostically useful immunohistochemical marker of normal endometrial stroma and of endometrial stromal neoplasms.",
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                                "evidence": "Based on our established CTC detection platform, CTCs were isolated from peripheral blood samples collected from 70 patients (38 resectable and 32 unresectable) with GC using magnetic positive selection and a CSV-specific monoclonal antibody, 84-1. CSV+ PD-L1+ CTCs were observed in 50 of 70 (71%) GC patient samples, ranging from 0 to 261 mL-1. A higher number of CSV+ PD-L1+ CTCs were significantly associated with a short survival duration and poor therapeutic response. This study demonstrated that detection of PD-L1+ CTCs using a CSV-enrichment method has promising value as a clinically relevant prognostic marker for GC."
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                                "evidence": "We found that inhibition of autophagy by pharmacological inhibitors or small interfering RNAs increased the levels of PD-L1 in cultured gastric cancer cells and in xenografts. Mechanistically, autophagy inhibition led to the accumulation of p62/SQSTM1 and activation of nuclear factor (NF)-kB, in which NF-kB inhibition or p62/SQSTM1 knockdown attenuated PD-L1 induction by autophagy inhibition. Immunohistochemical staining of primary tumor tissues of 137 patients with gastric cancer showed that LC3 and p62/SQSTM1 protein levels were positively correlated with PD-L1 (LC3, p < 0.001; p62/SQSTM1, p < 0.05). The expression of PD-L1 was also positively correlated with tumor lymphocyte infiltration (p < 0.001). We discovered that autophagy regulates PD-L1 expression in gastric cancer through the p62/SQSTM1-NF-kB pathway. Pharmacological modulation of autophagy may thus influence the therapeutic efficacy of PD-L1 blockade in gastric cancer."
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                        "evidence": "We found that inhibition of autophagy by pharmacological inhibitors or small interfering RNAs increased the levels of PD-L1 in cultured gastric cancer cells and in xenografts. Mechanistically, autophagy inhibition led to the accumulation of p62/SQSTM1 and activation of nuclear factor (NF)-kB, in which NF-kB inhibition or p62/SQSTM1 knockdown attenuated PD-L1 induction by autophagy inhibition. Immunohistochemical staining of primary tumor tissues of 137 patients with gastric cancer showed that LC3 and p62/SQSTM1 protein levels were positively correlated with PD-L1 (LC3, p < 0.001; p62/SQSTM1, p < 0.05). The expression of PD-L1 was also positively correlated with tumor lymphocyte infiltration (p < 0.001). We discovered that autophagy regulates PD-L1 expression in gastric cancer through the p62/SQSTM1-NF-kB pathway. Pharmacological modulation of autophagy may thus influence the therapeutic efficacy of PD-L1 blockade in gastric cancer."
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                "title": "Prognostic significance of PD-L1 expression on cell-surface vimentin-positive circulating tumor cells in gastric cancer patients.",
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                "authors": "Liu M, Wang R, Sun X, Liu Y, Wang Z, Yan J, Kong X, Liang S, Liu Q, Zhao T, Ji X, Wang G, Wang F, Wang G, Chen L, Zhang Q, Lv W, Li H, Sun M",
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                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31653140",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31653140",
                "evidence_list": [
                    {
                        "evidence": "Among the 150 samples, 66 (44%) expressed PDL1 expression in the tumor cell surface, and a significant association was between the PDL1 expression and the high graded tumors"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "33797012",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/33797012",
                "evidence_list": [
                    {
                        "evidence": "PD-L1 expression predicts response to immune checkpoint inhibitors in renal cell carcinomas (RCC), but has also been suggested to be linked to poor patient outcome."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Programmed Death Ligand 1; An Immunotarget for Renal Cell Carcinoma.",
                "journal": "Asian Pacific journal of cancer prevention : APJCP",
                "authors": "Chandrasekaran D, Sundaram S, N K, R P",
                "date": "2019-10-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "31653140",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31653140"
                    }
                ]
            },
            {
                "title": "Tumor cell PD-L1 expression is a strong predictor of unfavorable prognosis in immune checkpoint therapy-naive clear cell renal cell cancer.",
                "journal": "International urology and nephrology",
                "authors": "M\u00f6ller K, Fraune C, Blessin NC, Lennartz M, Kluth M, Hube-Magg C, Lindhorst L, Dahlem R, Fisch M, Eichenauer T, Riechardt S, Simon R, Sauter G, B\u00fcscheck F, H\u00f6ppner W, Matthies C, Doh O, Krech T, Marx AH, Zecha H, Rink M, Steurer S, Clauditz TS",
                "date": "2021-04-03",
                "evidence": [],
                "reference": [
                    {
                        "id": "33797012",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/33797012"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4989",
        "collision": 1
    },
    {
        "biomarker_id": "AN4222-1",
        "biomarker_component": [
            {
                "biomarker": "increased ARPP-19 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "cAMP-regulated phosphoprotein 19",
                    "synonyms": [
                        {
                            "synonym": "ARPP-19"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P56211",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32753897",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32753897",
                        "evidence_list": [
                            {
                                "evidence": "We observed ARPP-19 was up-regulated in Herceptin resistance gastric cancer cells NCI-N87-HR and MKN45-HR. The forced expression of ARPP-19 promoted, whereas the silencing of ARPP-19 impaired Herceptin resistance of HER2-positive gastric cancer cells both in vitro and in vivo. Moreover, ARPP-19 significantly enhanced the sphere formation capacity and CD44 expression, CD44 was also a positive factor of Herceptin resistance in HER2-positive gastric cancer cells. In addition, high level of ARPP-19 was positively associated with Herceptin resistance and poor survival rate of gastric cancer patients. We have demonstrated that ARPP-19 promoted Herceptin resistance of gastric cancer via up-regulation of CD44, our study suggested that ARPP-19 could be a potential diagnostic and therapeutic candidate for HER2-positive gastric cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32753897",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32753897",
                "evidence_list": [
                    {
                        "evidence": "We observed ARPP-19 was up-regulated in Herceptin resistance gastric cancer cells NCI-N87-HR and MKN45-HR. The forced expression of ARPP-19 promoted, whereas the silencing of ARPP-19 impaired Herceptin resistance of HER2-positive gastric cancer cells both in vitro and in vivo. Moreover, ARPP-19 significantly enhanced the sphere formation capacity and CD44 expression, CD44 was also a positive factor of Herceptin resistance in HER2-positive gastric cancer cells. In addition, high level of ARPP-19 was positively associated with Herceptin resistance and poor survival rate of gastric cancer patients. We have demonstrated that ARPP-19 promoted Herceptin resistance of gastric cancer via up-regulation of CD44, our study suggested that ARPP-19 could be a potential diagnostic and therapeutic candidate for HER2-positive gastric cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "ARPP-19 Mediates Herceptin Resistance via Regulation of CD44 in Gastric Cancer.",
                "journal": "OncoTargets and therapy",
                "authors": "Gao X, Lu C, Chen C, Sun K, Liang Q, Shuai J, Wang X, Xu Y",
                "date": "2020-08-06",
                "evidence": [],
                "reference": [
                    {
                        "id": "32753897",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32753897"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4222",
        "collision": 1
    },
    {
        "biomarker_id": "AN4223-1",
        "biomarker_component": [
            {
                "biomarker": "increased STAT2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Signal transducer and activator of transcription 2",
                    "synonyms": [
                        {
                            "synonym": "p113"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P52630",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26622669",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26622669",
                        "evidence_list": [
                            {
                                "evidence": "The data demonstrated that eight genes associated with ApoE were differentially expressed, with six of these upregulated and two downregulated. Functionally, these genes were involved in the JAK-STAT cascade, acute-phase response, acute inflammatory response, and the steroid hormone response. Among these ApoE-associated genes, expression of the signal transducer and activator of transcription 2 (STAT2) and STAT3 transcription factors was upregulated. To the best of our knowledge, this is the first study to demonstrate the network of ApoE-related genes and transcription factors in gastric cancer. Additional studies are required in order to confirm these data and to translate the results into the identification of clinical biomarkers and novel treatment strategies for gastric cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26622669",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26622669",
                "evidence_list": [
                    {
                        "evidence": "The data demonstrated that eight genes associated with ApoE were differentially expressed, with six of these upregulated and two downregulated. Functionally, these genes were involved in the JAK-STAT cascade, acute-phase response, acute inflammatory response, and the steroid hormone response. Among these ApoE-associated genes, expression of the signal transducer and activator of transcription 2 (STAT2) and STAT3 transcription factors was upregulated. To the best of our knowledge, this is the first study to demonstrate the network of ApoE-related genes and transcription factors in gastric cancer. Additional studies are required in order to confirm these data and to translate the results into the identification of clinical biomarkers and novel treatment strategies for gastric cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Expression analysis of apolipoprotein E and its associated genes in gastric cancer.",
                "journal": "Oncology letters",
                "authors": "Shi X, Xu J, Wang J, Cui M, Gao Y, Niu H, Jin H",
                "date": "2015-12-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "26622669",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26622669"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4223",
        "collision": 1
    },
    {
        "biomarker_id": "AN4224-1",
        "biomarker_component": [
            {
                "biomarker": "increased DSC2 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Desmocollin-2",
                    "synonyms": [
                        {
                            "synonym": "Cadherin family member 2"
                        },
                        {
                            "synonym": "Desmocollin-3"
                        },
                        {
                            "synonym": "Desmosomal glycoprotein II"
                        },
                        {
                            "synonym": "Desmosomal glycoprotein III"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q02487",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "20527021",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20527021",
                        "evidence_list": [
                            {
                                "evidence": "Gastric cancer (GC) is one of the most common malignancies worldwide. Genes expressed only in cancer tissue, and especially on the cell membrane, will be useful molecular markers for diagnosis and may also be good therapeutic targets. To identify genes that encode transmembrane proteins present in GC, we generated Escherichia coli ampicillin secretion trap (CAST) libraries from two GC cell lines and normal stomach. By sequencing 4320 colonies from CAST libraries, we identified 30 candidate genes that encode transmembrane proteins present in GC. Quantitative reverse transcription-polymerase chain reaction analysis of these candidates revealed that ZDHHC14, BST2, DRAM2, and DSC2 were expressed much more highly in GC than in 14 kinds of normal tissues. Among these, DSC2 encodes desmocollin 2, which is one of three known desmocollins. Immunohistochemical analysis demonstrated that 22 (28%) of 80 GC cases were positive for desmocollin 2, and desmocollin 2 expression was observed frequently in GC with the intestinal mucin phenotype. Furthermore, desmocollin 2 expression was correlated with CDX2 expression. These results suggest that expression of desmocollin 2, induced by CDX2, may be a key regulator for GC with the intestinal mucin phenotype. Our results provide a list of genes that have high potential as a diagnostic and therapeutic target for GC."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20527021",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20527021",
                "evidence_list": [
                    {
                        "evidence": "Gastric cancer (GC) is one of the most common malignancies worldwide. Genes expressed only in cancer tissue, and especially on the cell membrane, will be useful molecular markers for diagnosis and may also be good therapeutic targets. To identify genes that encode transmembrane proteins present in GC, we generated Escherichia coli ampicillin secretion trap (CAST) libraries from two GC cell lines and normal stomach. By sequencing 4320 colonies from CAST libraries, we identified 30 candidate genes that encode transmembrane proteins present in GC. Quantitative reverse transcription-polymerase chain reaction analysis of these candidates revealed that ZDHHC14, BST2, DRAM2, and DSC2 were expressed much more highly in GC than in 14 kinds of normal tissues. Among these, DSC2 encodes desmocollin 2, which is one of three known desmocollins. Immunohistochemical analysis demonstrated that 22 (28%) of 80 GC cases were positive for desmocollin 2, and desmocollin 2 expression was observed frequently in GC with the intestinal mucin phenotype. Furthermore, desmocollin 2 expression was correlated with CDX2 expression. These results suggest that expression of desmocollin 2, induced by CDX2, may be a key regulator for GC with the intestinal mucin phenotype. Our results provide a list of genes that have high potential as a diagnostic and therapeutic target for GC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Search for transmembrane protein in gastric cancer by the Escherichia coli ampicillin secretion trap: expression of DSC2 in gastric cancer with intestinal phenotype.",
                "journal": "The Journal of pathology",
                "authors": "Anami K, Oue N, Noguchi T, Sakamoto N, Sentani K, Hayashi T, Hinoi T, Okajima M, Graff JM, Yasui W",
                "date": "2010-06-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "20527021",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/20527021"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4224",
        "collision": 1
    },
    {
        "biomarker_id": "AA4992-1",
        "biomarker_component": [
            {
                "biomarker": "increased HOXA10 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Homeobox protein HOXA10",
                    "synonyms": [
                        {
                            "synonym": "Homeobox protein Hox-1.8"
                        },
                        {
                            "synonym": "Homeobox protein Hox-1H"
                        },
                        {
                            "synonym": "PL"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P31260",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "31406476",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31406476",
                        "evidence_list": [
                            {
                                "evidence": "HOXA10 expression was obviously increased in gastric cancer tissues and cells when compared with the normal gastric tissue samples and cells. Upregulation of HOXA10 significantly enhanced cell proliferation, cloning formation and tumorigenesis abilities and reduced cell apoptosis in gastric cancer, and promoted the activation of JAK1/STAT3 signaling."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31406476",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31406476",
                "evidence_list": [
                    {
                        "evidence": "HOXA10 expression was obviously increased in gastric cancer tissues and cells when compared with the normal gastric tissue samples and cells. Upregulation of HOXA10 significantly enhanced cell proliferation, cloning formation and tumorigenesis abilities and reduced cell apoptosis in gastric cancer, and promoted the activation of JAK1/STAT3 signaling."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "HOXA10 deteriorates gastric cancer through activating JAK1/STAT3 signaling pathway.",
                "journal": "Cancer management and research",
                "authors": "Chen W, Wu G, Zhu Y, Zhang W, Zhang H, Zhou Y, Sun P",
                "date": "2019-08-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "31406476",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31406476"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA4992",
        "collision": 1
    },
    {
        "biomarker_id": "AN4225-1",
        "biomarker_component": [
            {
                "biomarker": "decreased OLFM4 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Olfactomedin-4",
                    "synonyms": [
                        {
                            "synonym": "OLM4"
                        },
                        {
                            "synonym": "Antiapoptotic protein GW112"
                        },
                        {
                            "synonym": "G-CSF-stimulated clone 1 protein"
                        },
                        {
                            "synonym": "hGC-1"
                        },
                        {
                            "synonym": "hOLfD"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q6UX06",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "22471589",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22471589",
                        "evidence_list": [
                            {
                                "evidence": "Our study suggests that depletion of OLFM4 significantly inhibits tumorigenicity of the gastric cancer SGC-7901 and MKN45 cells. Blocking OLFM4 expression can sensitize gastric cancer cells to H2O2 or TNF alpha treatment by increasing caspase-3 dependent apoptosis. The elimination of OLFM4 protein by RNA interference in SGC-7901 and MKN45 cells significantly inhibits tumorigenicity both in vitro and in vivo by induction of cell G1 arrest (all P < 0.01). OLFM4 knockdown did not trigger obvious cell apoptosis but increased H2O2 or TNF alpha-induced apoptosis and caspase-3 activity (all P < 0.01)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "22471589",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/22471589",
                "evidence_list": [
                    {
                        "evidence": "Our study suggests that depletion of OLFM4 significantly inhibits tumorigenicity of the gastric cancer SGC-7901 and MKN45 cells. Blocking OLFM4 expression can sensitize gastric cancer cells to H2O2 or TNF alpha treatment by increasing caspase-3 dependent apoptosis. The elimination of OLFM4 protein by RNA interference in SGC-7901 and MKN45 cells significantly inhibits tumorigenicity both in vitro and in vivo by induction of cell G1 arrest (all P < 0.01). OLFM4 knockdown did not trigger obvious cell apoptosis but increased H2O2 or TNF alpha-induced apoptosis and caspase-3 activity (all P < 0.01)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Depletion of OLFM4 gene inhibits cell growth and increases sensitization to hydrogen peroxide and tumor necrosis factor-alpha induced-apoptosis in gastric cancer cells.",
                "journal": "Journal of biomedical science",
                "authors": "Liu RH, Yang MH, Xiang H, Bao LM, Yang HA, Yue LW, Jiang X, Ang N, Wu LY, Huang Y",
                "date": "2012-04-05",
                "evidence": [],
                "reference": [
                    {
                        "id": "22471589",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/22471589"
                    }
                ]
            }
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    {
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            {
                "biomarker": "increased CDH17 level",
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                        {
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                            "synonym": "Liver-intestine cadherin"
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                            "synonym": "LI-cadherin"
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                "assessed_biomarker_entity_id": "UPKB:Q12864",
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                "id": "DOID:10534",
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                {
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                {
                    "id": "DOID:10534",
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                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Gene expression profiling of metaplastic lineages identifies CDH17 as a prognostic marker in early stage gastric cancer.",
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    {
        "biomarker_id": "AA4995-1",
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            {
                "biomarker": "increased PVT1 level",
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                    "recommended_name": "Plasmacytoma variant translocation 1",
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                "assessed_biomarker_entity_id": "RNAC:URS0000D3E92F",
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                                "evidence": "Compared with paracancerous tissues, the expression of PVT1 and miR-125 was significantly increased in gastric cancer tissues. There were no significant differences in the expression level of PVT1 between gastric cancer patients of different genders and ages. The higher the gastric cancer staging was, the more obvious the expression level of PVT1 in the tissues of patients with gastric cancer was, and the more obvious the expression of PVT1 in the tissues of patients with gastric lymph node metastasis was."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
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                        "evidence": "Compared with paracancerous tissues, the expression of PVT1 and miR-125 was significantly increased in gastric cancer tissues. There were no significant differences in the expression level of PVT1 between gastric cancer patients of different genders and ages. The higher the gastric cancer staging was, the more obvious the expression level of PVT1 in the tissues of patients with gastric cancer was, and the more obvious the expression of PVT1 in the tissues of patients with gastric lymph node metastasis was."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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        ],
        "citation": [
            {
                "title": "Regulation of lncRNA PVT1 on miR-125 in metastasis of gastric cancer cells.",
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                "biomarker": "decreased PRMT1 level",
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                            "synonym": "Histone-arginine N-methyltransferase PRMT1"
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                            "synonym": "Interferon receptor 1-bound protein 4"
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                    {
                        "name": "kidney",
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                            {
                                "evidence": "Nuclear PRMT1 IHC expression was seen in all samples of the renal parenchyma used as a positive control. PRMT1 expression together with low-nuclear tumor grade and stage were significantly associated with better cancer-specific survival (p = 0.029). Patients who died of clear cell Renal Cell Carcinoma (ccRCC) showed homogenous loss of PRMT1 in 44.7%."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                        "id": "33859753",
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                            {
                                "evidence": "Taken together, our study revealed a PRMT1-dependent epigenetic mechanism in the control of clear cell renal cell carcinoma (ccRCC) tumor growth and drug resistance, indicating PRMT1 may serve as a promising target for therapeutic intervention in ccRCC patients."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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        ],
        "best_biomarker_role": [
            {
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        "condition": {
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                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
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                {
                    "id": "DOID:263",
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                    {
                        "evidence": "Nuclear PRMT1 IHC expression was seen in all samples of the renal parenchyma used as a positive control. PRMT1 expression together with low-nuclear tumor grade and stage were significantly associated with better cancer-specific survival (p = 0.029). Patients who died of clear cell Renal Cell Carcinoma (ccRCC) showed homogenous loss of PRMT1 in 44.7%."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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            {
                "id": "33859753",
                "database": "Pubmed",
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                    {
                        "evidence": "Taken together, our study revealed a PRMT1-dependent epigenetic mechanism in the control of clear cell renal cell carcinoma (ccRCC) tumor growth and drug resistance, indicating PRMT1 may serve as a promising target for therapeutic intervention in ccRCC patients."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "PRMT1 expression in renal cell tumors- application in differential diagnosis and prognostic relevance.",
                "journal": "Diagnostic pathology",
                "authors": "Filipovi\u0107 J, Bosi\u0107 M, \u0106irovi\u0107 S, \u017divoti\u0107 M, Dun\u0111erovi\u0107 D, \u0110or\u0111evi\u0107 D, \u017divkovi\u0107-Peri\u0161i\u0107 S, Lipkovski A, Markovi\u0107-Lipkovski J",
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                    {
                        "id": "31655611",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31655611"
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                ]
            },
            {
                "title": "PRMT1 is a novel molecular therapeutic target for clear cell renal cell carcinoma.",
                "journal": "Theranostics",
                "authors": "Wang J, Wang C, Xu P, Li X, Lu Y, Jin D, Yin X, Jiang H, Huang J, Xiong H, Ye F, Jin J, Chen Y, Xie Y, Chen Z, Ding H, Zhang H, Liu R, Jiang H, Chen K, Yao Z, Luo C, Huang Y, Zhang Y, Zhang J",
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                        "type": "Pubmed",
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        ],
        "biomarker_canonical_id": "AA4996",
        "collision": 1
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    {
        "biomarker_id": "AA4997-1",
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            {
                "biomarker": "increased NUPR1 level",
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                "assessed_biomarker_entity_id": "UPKB:O60356",
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                "evidence_source": [
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                        "id": "34030133",
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                                "evidence": "NUPR1 mRNA levels were significantly increased in ccRCC cells and cancer tissues compared with HK-2 cells (human renal cortex/proximal tubular epithelial cells) and adjacent normal kidney tissues. High NUPR1 mRNA level in primary tumors was correlated with poor overall survival (OS) and disease-free survival (DFS)."
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                        ],
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                                "tag": "biomarker"
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                    {
                        "id": "27451286",
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                            {
                                "evidence": "Finally, immunohistochemical analysis revealed strong expression of NUPR1 in the nuclei of renal proximal tubules of injured human kidney allografts, but not in those of stable allografts. Taken together, these results suggest that epithelial expression of NUPR1 has a protective role in response to injury after renal transplant and, presumably, in other forms of acute tubular damage."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
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                            {
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        ],
        "condition": {
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                "id": "DOID:263",
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                "description": "A urinary system cancer that is located_in the kidney.",
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                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
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                {
                    "id": "DOID:263",
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                    {
                        "evidence": "NUPR1 mRNA levels were significantly increased in ccRCC cells and cancer tissues compared with HK-2 cells (human renal cortex/proximal tubular epithelial cells) and adjacent normal kidney tissues. High NUPR1 mRNA level in primary tumors was correlated with poor overall survival (OS) and disease-free survival (DFS)."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
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            {
                "id": "27451286",
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                        "evidence": "Finally, immunohistochemical analysis revealed strong expression of NUPR1 in the nuclei of renal proximal tubules of injured human kidney allografts, but not in those of stable allografts. Taken together, these results suggest that epithelial expression of NUPR1 has a protective role in response to injury after renal transplant and, presumably, in other forms of acute tubular damage."
                    }
                ],
                "tags": [
                    {
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                ]
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        ],
        "citation": [
            {
                "title": "NUPR1 is a novel potential biomarker and confers resistance to sorafenib in clear cell renal cell carcinoma by increasing stemness and targeting the PTEN/AKT/mTOR pathway.",
                "journal": "Aging",
                "authors": "He W, Cheng F, Zheng B, Wang J, Zhao G, Yao Z, Zhang T",
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                        "id": "34030133",
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            {
                "title": "Stress Response Gene Nupr1 Alleviates Cyclosporin A Nephrotoxicity In Vivo.",
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                "authors": "Galichon P, Bataille A, Vandermeersch S, Wetzstein M, Xu-Dubois YC, Legouis D, Hertig A, Buob D, Placier S, Big\u00e9 N, Lefevre G, Jouanneau C, Martin C, Iovanna JL, Rondeau E",
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    {
        "biomarker_id": "AA4998-1",
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            {
                "biomarker": "increased DKC1 level",
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                            "synonym": "CBF5 homolog"
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                        {
                            "synonym": "Dyskerin"
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                        {
                            "synonym": "Nopp140-associated protein of 57 kDa"
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                            "synonym": "Nucleolar protein NAP57"
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                            "synonym": "Nucleolar protein family A member 4"
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                            "synonym": "snoRNP protein DKC1"
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                "assessed_biomarker_entity_id": "UPKB:O60832",
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                "evidence_source": [
                    {
                        "id": "29901172",
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                                "evidence": "High DKC1 expression was detected in 61.3% ccRCC tissues and 34.7% paracancerous tissues. ccRCC patients with high DKC1 expression were correlated with greater unfavorable 5-year overall and disease-specific survival than the rest of the patients with low DKC1 expression (P<0.001 and P<0.001, respectively)."
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                                "tag": "biomarker"
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                {
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                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
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                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
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        "evidence_source": [
            {
                "id": "29901172",
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                "evidence_list": [
                    {
                        "evidence": "High DKC1 expression was detected in 61.3% ccRCC tissues and 34.7% paracancerous tissues. ccRCC patients with high DKC1 expression were correlated with greater unfavorable 5-year overall and disease-specific survival than the rest of the patients with low DKC1 expression (P<0.001 and P<0.001, respectively)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "DKC1 serves as a potential prognostic biomarker for human clear cell renal cell carcinoma and promotes its proliferation, migration and invasion via the NF\u2011\u03baB pathway.",
                "journal": "Oncology reports",
                "authors": "Zhang M, Pan Y, Jiang R, Hou P, Shan H, Chen F, Jiang T, Bai J, Zheng J",
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        "biomarker_canonical_id": "AA4998",
        "collision": 1
    },
    {
        "biomarker_id": "AA4999-1",
        "biomarker_component": [
            {
                "biomarker": "increased SCARB1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Scavenger receptor class B member 1",
                    "synonyms": [
                        {
                            "synonym": "SRB1"
                        },
                        {
                            "synonym": "CD36 and LIMPII analogous 1"
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                        {
                            "synonym": "CLA-1"
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                        {
                            "synonym": "CD36 antigen-like 1"
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                        {
                            "synonym": "Collagen type I receptor, thrombospondin receptor-like 1"
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                        {
                            "synonym": "SR-BI"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8WTV0",
                "assessed_entity_type": "protein",
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                    {
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                            {
                                "evidence": "The expression of SR-BI was significantly increased in ccRCC tissues compared with normal matched tissues. Patients with tumors that expressed high levels of SR-BI had a shorter PFS survival (P = 0.0062)."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "evidence": "Our findings demonstrate that hSR-BII, and to a lesser extent hSR-BI, significantly increase LPS-induced inflammation and contribute to LPS-induced tissue injury in the liver and kidney, two major organs susceptible to LPS toxicity."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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        ],
        "best_biomarker_role": [
            {
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                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
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                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
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                {
                    "id": "DOID:263",
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                    {
                        "evidence": "The expression of SR-BI was significantly increased in ccRCC tissues compared with normal matched tissues. Patients with tumors that expressed high levels of SR-BI had a shorter PFS survival (P = 0.0062)."
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                ],
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                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "26936883",
                "database": "Pubmed",
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                    {
                        "evidence": "Our findings demonstrate that hSR-BII, and to a lesser extent hSR-BI, significantly increase LPS-induced inflammation and contribute to LPS-induced tissue injury in the liver and kidney, two major organs susceptible to LPS toxicity."
                    }
                ],
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                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Up-regulation of SR-BI promotes progression and serves as a prognostic biomarker in clear cell renal cell carcinoma.",
                "journal": "BMC cancer",
                "authors": "Xu GH, Lou N, Shi HC, Xu YC, Ruan HL, Xiao W, Liu L, Li X, Xiao HB, Qiu B, Bao L, Yuan CF, Zhou YL, Hu WJ, Chen K, Yang HM, Zhang XP",
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                    {
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            {
                "title": "Human SR-BI and SR-BII Potentiate Lipopolysaccharide-Induced Inflammation and Acute Liver and Kidney Injury in Mice.",
                "journal": "Journal of immunology (Baltimore, Md. : 1950)",
                "authors": "Baranova IN, Souza AC, Bocharov AV, Vishnyakova TG, Hu X, Vaisman BL, Amar MJ, Chen Z, Kost Y, Remaley AT, Patterson AP, Yuen PS, Star RA, Eggerman TL",
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                    {
                        "id": "26936883",
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        ],
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    {
        "biomarker_id": "AA5000-1",
        "biomarker_component": [
            {
                "biomarker": "decreased QKI level",
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                    "recommended_name": "Protein quaking",
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                        {
                            "synonym": "Protein quaking"
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                        {
                            "synonym": "Hqk"
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                        {
                            "synonym": "HqkI"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q96PU8",
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                    {
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                            {
                                "evidence": "The relative expression level of QKI-5 was significantly lower in the tumor tissues than it was in their noncancerous counterparts (P < 0.01). Decreased QKI-5 expression significantly correlated with poorer overall survival in ccRCC patients."
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                        "id": "34804823",
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                        "url": "https://pubmed.ncbi.nlm.nih.gov/34804823",
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                            {
                                "evidence": "Our results revealed that downregulation of QKI-5 by miR-200c attenuated KIRC migration and invasion via the EMT process, indicating that QKI-5 may be a potential therapeutic target and a key indicator of kidney renal clear cell carcinoma (KIRC) progression."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                                "tag": "assessed_entity_type"
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        ],
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            {
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            "id": "DOID:263",
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                {
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                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
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                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
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        "evidence_source": [
            {
                "id": "27767378",
                "database": "Pubmed",
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                    {
                        "evidence": "The relative expression level of QKI-5 was significantly lower in the tumor tissues than it was in their noncancerous counterparts (P < 0.01). Decreased QKI-5 expression significantly correlated with poorer overall survival in ccRCC patients."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "34804823",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/34804823",
                "evidence_list": [
                    {
                        "evidence": "Our results revealed that downregulation of QKI-5 by miR-200c attenuated KIRC migration and invasion via the EMT process, indicating that QKI-5 may be a potential therapeutic target and a key indicator of kidney renal clear cell carcinoma (KIRC) progression."
                    }
                ],
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                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "RNA-binding protein QKI-5 inhibits the proliferation of clear cell renal cell carcinoma via post-transcriptional stabilization of RASA1 mRNA.",
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            {
                "title": "Quaking I-5 protein inhibits invasion and migration of kidney renal clear cell carcinoma via inhibiting epithelial-mesenchymal transition suppression through the regulation of microRNA 200c.",
                "journal": "Translational andrology and urology",
                "authors": "Zhang R, Wang W, Aimudula A, Lu S, Lu P, Aihaiti R, Bao Y",
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                    {
                        "id": "34804823",
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        ],
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    {
        "biomarker_id": "AA5001-1",
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                "biomarker": "decreased SORBS2 level",
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                        {
                            "synonym": "ArgBP2"
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                        {
                            "synonym": "Arg/Abl-interacting protein 2"
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                            "synonym": "Sorbin"
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                "assessed_biomarker_entity_id": "UPKB:O94875",
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                    {
                        "name": "kidney",
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                            {
                                "evidence": "There was significantly lower expression of SORBS2 protein in metastatic tissues than that in primary tissues and normal tissues. Kaplan-Meier survival analysis indicated that patients with low SORBS2 had a poorer overall survival than those belonging to high SORBS2 levels in ccRCC."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                        "id": "32905431",
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                                "evidence": "KCNQ1OT1 and SORBS2 were elevated in DN. Both knockdown of KCNQ1OT1 and silencing of SORBS2 restrained proliferation and fibrosis and induced apoptosis in diabetic nephropathy (DN) cells."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                {
                    "id": "DOID:263",
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                },
                {
                    "id": "DOID:263",
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                {
                    "id": "DOID:263",
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                "id": "33311452",
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                    {
                        "evidence": "There was significantly lower expression of SORBS2 protein in metastatic tissues than that in primary tissues and normal tissues. Kaplan-Meier survival analysis indicated that patients with low SORBS2 had a poorer overall survival than those belonging to high SORBS2 levels in ccRCC."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "32905431",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32905431",
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                    {
                        "evidence": "KCNQ1OT1 and SORBS2 were elevated in DN. Both knockdown of KCNQ1OT1 and silencing of SORBS2 restrained proliferation and fibrosis and induced apoptosis in diabetic nephropathy (DN) cells."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "RNA-binding protein SORBS2 suppresses clear cell renal cell carcinoma metastasis by enhancing MTUS1 mRNA stability.",
                "journal": "Cell death & disease",
                "authors": "Lv Q, Dong F, Zhou Y, Cai Z, Wang G",
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                        "id": "33311452",
                        "type": "Pubmed",
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                ]
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            {
                "title": "LncRNA KCNQ1OT1 affects cell proliferation, apoptosis and fibrosis through regulating miR-18b-5p/SORBS2 axis and NF-\u0138B pathway in diabetic nephropathy.",
                "journal": "Diabetology & metabolic syndrome",
                "authors": "Jie R, Zhu P, Zhong J, Zhang Y, Wu H",
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                "reference": [
                    {
                        "id": "32905431",
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        "biomarker_canonical_id": "AA5001",
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    {
        "biomarker_id": "AA5002-1",
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            {
                "biomarker": "increased IGF2BP3 level",
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                            "synonym": "IGF-II mRNA-binding protein 3"
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                        {
                            "synonym": "KH domain-containing protein overexpressed in cancer"
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                        {
                            "synonym": "hKOC"
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                        {
                            "synonym": "VICKZ family member 3"
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                },
                "assessed_biomarker_entity_id": "UPKB:O00425",
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                        "url": "http://purl.obolibrary.org/obo/UBERON_0002113",
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                        "id": "30650187",
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                            {
                                "evidence": "IMP3 concentration was significantly elevated in plasma samples of tumor patients compared to healthy controls (p=0.015). IMP3 mRNA expression was significantly higher in Renal Cell Carcinoma (RCC) tissues compared to tumor neighboring normal tissues (p=0.001). high IMP3 plasma concentration was an independent risk factor of Overall Survival, OS, (p=0.002) and DSS (p=0.039) and elevated IMP3 mRNA expression levels were independently associated with poor DSS (p=0.047)."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                        "id": "25919292",
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                            {
                                "evidence": "IMP3 promotes RCC cell migration and invasion by activation of NF-kB pathway. IMP3 is validated to be an independent prognostic marker for localized CCRCC."
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    "id": "DOID:263",
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                    {
                        "evidence": "IMP3 concentration was significantly elevated in plasma samples of tumor patients compared to healthy controls (p=0.015). IMP3 mRNA expression was significantly higher in Renal Cell Carcinoma (RCC) tissues compared to tumor neighboring normal tissues (p=0.001). high IMP3 plasma concentration was an independent risk factor of Overall Survival, OS, (p=0.002) and DSS (p=0.039) and elevated IMP3 mRNA expression levels were independently associated with poor DSS (p=0.047)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            },
            {
                "id": "25919292",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "IMP3 promotes RCC cell migration and invasion by activation of NF-kB pathway. IMP3 is validated to be an independent prognostic marker for localized CCRCC."
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                ],
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                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "Circulating and tissue IMP3 levels are correlated with poor survival in renal cell carcinoma.",
                "journal": "International journal of cancer",
                "authors": "Tschirdewahn S, Panic A, P\u00fcllen L, Harke NN, Hadaschik B, Riesz P, Horv\u00e1th A, Szalontai J, Nyir\u00e1dy P, Baba HA, Reis H, Szarvas T",
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                "reference": [
                    {
                        "id": "30650187",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30650187"
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                ]
            },
            {
                "title": "Enhanced IMP3 Expression Activates NF-\u043aB Pathway and Promotes Renal Cell Carcinoma Progression.",
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                "authors": "Pei X, Li M, Zhan J, Yu Y, Wei X, Guan L, Aydin H, Elson P, Zhou M, He H, Zhang H",
                "date": "2015-04-29",
                "evidence": [],
                "reference": [
                    {
                        "id": "25919292",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25919292"
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                ]
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        ],
        "biomarker_canonical_id": "AA5002",
        "collision": 1
    },
    {
        "biomarker_id": "AA5003-1",
        "biomarker_component": [
            {
                "biomarker": "increased APOC1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Apolipoprotein C-I",
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                        {
                            "synonym": "Apo-CI"
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                        {
                            "synonym": "ApoC-I"
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                        {
                            "synonym": "Apolipoprotein C1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P02654",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
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                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
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                        "evidence_list": [
                            {
                                "evidence": "It was firstly found that concentration of APOC1 in serum was significantly higher in GC than that in control. Expression of APOC1 protein was also higher in GC than that in adjacent issues of GC and normal tissues using tissues array by immunohistochemistry."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "31555694",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31555694",
                "evidence_list": [
                    {
                        "evidence": "It was firstly found that concentration of APOC1 in serum was significantly higher in GC than that in control. Expression of APOC1 protein was also higher in GC than that in adjacent issues of GC and normal tissues using tissues array by immunohistochemistry."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Apolipoprotein C1 (APOC1) as a novel diagnostic and prognostic biomarker for gastric cancer.",
                "journal": "Annals of translational medicine",
                "authors": "Yi J, Ren L, Wu J, Li W, Zheng X, Du G, Wang J",
                "date": "2019-09-27",
                "evidence": [],
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                    {
                        "id": "31555694",
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                ]
            }
        ],
        "biomarker_canonical_id": "AA5003",
        "collision": 1
    },
    {
        "biomarker_id": "AN4226-1",
        "biomarker_component": [
            {
                "biomarker": "decreased ATP4B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Potassium-transporting ATPase subunit beta",
                    "synonyms": [
                        {
                            "synonym": "Gastric H(+)/K(+) ATPase subunit beta"
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                        {
                            "synonym": "Proton pump beta chain"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P51164",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "28281974",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28281974",
                        "evidence_list": [
                            {
                                "evidence": "ATP4B expression was decreased in human GC tissues and cell lines associated with DNA hypermethylation and histone hypoacetylation of histone H3 lysine 9 at its intragenic region close to the transcriptional start site."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
                    }
                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
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            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
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            ]
        },
        "evidence_source": [
            {
                "id": "28281974",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28281974",
                "evidence_list": [
                    {
                        "evidence": "ATP4B expression was decreased in human GC tissues and cell lines associated with DNA hypermethylation and histone hypoacetylation of histone H3 lysine 9 at its intragenic region close to the transcriptional start site."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Silencing of ATP4B of ATPase H",
                "journal": "Oncology research",
                "authors": "Lin S, Lin B, Wang X, Pan Y, Xu Q, He JS, Gong W, Xing R, He Y, Guo L, Lu Y, Wang JM, Huang J",
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                "evidence": [],
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                    {
                        "id": "28281974",
                        "type": "Pubmed",
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                ]
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        ],
        "biomarker_canonical_id": "AN4226",
        "collision": 1
    },
    {
        "biomarker_id": "AA5005-1",
        "biomarker_component": [
            {
                "biomarker": "increased DDX5 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Probable ATP-dependent RNA helicase",
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                        {
                            "synonym": "DEAD box protein 5"
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                        {
                            "synonym": "RNA helicase p68"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17844",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
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                        "name_space": "Uberon",
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                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "28216662",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28216662",
                        "evidence_list": [
                            {
                                "evidence": "In this study, we observed that DDX5 was significantly up-regulated in gastric cancer tissues compared with the paired adjacent normal tissues. The expression of DDX5 correlated strongly with Ki67 index and pathological stage of gastric cancer. In vitro and in vivo studies suggested that knockdown of DDX5 inhibited gastric cancer cell proliferation, colony formation and xenografts growth, whereas ectopic expression of DDX5 promoted these cellular functions."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                        ]
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                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
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        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
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                "url": "http://purl.obolibrary.org/obo/DOID_10534"
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            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
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            ]
        },
        "evidence_source": [
            {
                "id": "28216662",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28216662",
                "evidence_list": [
                    {
                        "evidence": "In this study, we observed that DDX5 was significantly up-regulated in gastric cancer tissues compared with the paired adjacent normal tissues. The expression of DDX5 correlated strongly with Ki67 index and pathological stage of gastric cancer. In vitro and in vivo studies suggested that knockdown of DDX5 inhibited gastric cancer cell proliferation, colony formation and xenografts growth, whereas ectopic expression of DDX5 promoted these cellular functions."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "DDX5 promotes gastric cancer cell proliferation in vitro and in vivo through mTOR signaling pathway.",
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                "authors": "Du C, Li DQ, Li N, Chen L, Li SS, Yang Y, Hou MX, Xie MJ, Zheng ZD",
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                "evidence": [],
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        "biomarker_canonical_id": "AA5005",
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    {
        "biomarker_id": "AN4227-1",
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            {
                "biomarker": "increased mutation",
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                            "synonym": "Low-density lipoprotein receptor-related protein-deleted in tumor"
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                        {
                            "synonym": "LRP-DIT"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q9NZR2",
                "assessed_entity_type": "protein",
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                    {
                        "name": "stomach",
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                            {
                                "evidence": "LRP1B is one of the top 10 genes with high gene mutation frequency in gastric cancer. The mutation status of LRP1B in gastric cancer patients was significantly correlated with age and TP53 and MUC16 mutation status. The result of ROC curve analysis revealed that the mutation status of LRP1B could be considered as an indicator of the degree of TMB in patients with gastric cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
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        ],
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                {
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                        "evidence": "LRP1B is one of the top 10 genes with high gene mutation frequency in gastric cancer. The mutation status of LRP1B in gastric cancer patients was significantly correlated with age and TP53 and MUC16 mutation status. The result of ROC curve analysis revealed that the mutation status of LRP1B could be considered as an indicator of the degree of TMB in patients with gastric cancer."
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                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Correlation between ",
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                "authors": "Hu S, Zhao X, Qian F, Jin C, Hou K",
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        "biomarker_canonical_id": "AN4227",
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    {
        "biomarker_id": "AA5007-1",
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            {
                "biomarker": "increased GPX1 level",
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                    "recommended_name": "Glutathione peroxidase 1",
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                        {
                            "synonym": "GPx-1"
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                        {
                            "synonym": "GSHPx-1"
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                        {
                            "synonym": "Cellular glutathione peroxidase"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07203",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "kidney",
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                        "loinc_code": "LP15611-4"
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                ],
                "evidence_source": [
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                        "id": "31844035",
                        "database": "Pubmed",
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                            {
                                "evidence": "Bioinformatics analysis found that high expression of GPX1 was positively correlated with tumor stage, distant metastasis and lymphatic metastasis. ROC curve analysis found that high expression of GPX1 could effectively distinguish ccRCC from normal individuals."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
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        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
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            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
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                    {
                        "evidence": "Bioinformatics analysis found that high expression of GPX1 was positively correlated with tumor stage, distant metastasis and lymphatic metastasis. ROC curve analysis found that high expression of GPX1 could effectively distinguish ccRCC from normal individuals."
                    }
                ],
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                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "GPX1, a biomarker for the diagnosis and prognosis of kidney cancer, promotes the progression of kidney cancer.",
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                "authors": "Cheng Y, Xu T, Li S, Ruan H",
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        ],
        "biomarker_canonical_id": "AA5007",
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    {
        "biomarker_id": "AA5008-1",
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            {
                "biomarker": "increased SPAG9 level",
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                            "synonym": "JIP-4"
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                            "synonym": "JNK-interacting protein 4"
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                        {
                            "synonym": "Cancer/testis antigen 89"
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                        {
                            "synonym": "CT89"
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                        {
                            "synonym": "Human lung cancer oncogene 6 protein"
                        },
                        {
                            "synonym": "HLC-6"
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                        {
                            "synonym": "JNK-associated leucine-zipper protein"
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                        {
                            "synonym": "JLP"
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                        {
                            "synonym": "Mitogen-activated protein kinase 8-interacting protein 4"
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                        {
                            "synonym": "Proliferation-inducing protein 6"
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                        {
                            "synonym": "Protein highly expressed in testis"
                        },
                        {
                            "synonym": "PHET"
                        },
                        {
                            "synonym": "Sperm surface protein"
                        },
                        {
                            "synonym": "Sperm-associated antigen 9"
                        },
                        {
                            "synonym": "Sperm-specific protein"
                        },
                        {
                            "synonym": "Sunday driver 1"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O60271",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
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                ],
                "evidence_source": [
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                        "id": "25033008",
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                                "evidence": "SPAG9 was upregulated in NMSC when compared with normal skin. In conclusion, SPAG9 is expressed in NMSC cases."
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                        ],
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                            {
                                "tag": "biomarker"
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                            {
                                "tag": "assessed_biomarker_entity"
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                ]
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        ],
        "best_biomarker_role": [
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                "role": "diagnostic"
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        "condition": {
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            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
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            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "25033008",
                "database": "Pubmed",
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                "evidence_list": [
                    {
                        "evidence": "SPAG9 was upregulated in NMSC when compared with normal skin. In conclusion, SPAG9 is expressed in NMSC cases."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Immunohistochemical expression of sperm-associated antigen 9 in nonmelanoma skin cancer.",
                "journal": "The American Journal of dermatopathology",
                "authors": "Seleit I, Bakry OA, Samaka RM, Malak MA",
                "date": "2014-07-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "25033008",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/25033008"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA5008",
        "collision": 1
    },
    {
        "biomarker_id": "AN4228-1",
        "biomarker_component": [
            {
                "biomarker": "decreased FGFR3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Fibroblast growth factor receptor 3",
                    "synonyms": [
                        {
                            "synonym": "FGFR-3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB: P22607",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urinary bladder",
                        "id": "UBERON:0001255",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001255",
                        "loinc_code": "LP19706-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "28927152",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/28927152",
                        "evidence_list": [
                            {
                                "evidence": "Low FGFR3 expression level was associated with high-grade tumors and cancer progression (P=0.006 and P=0.001), whereas FGFR3 mutation status was not associated with cancer progression. Kaplan-Meier analysis revealed a similar result (log-rank, P<0.001). Multivariate analysis identified low FGFR3 expression level (odds ratio, 3.300; 95% confidence interval, 1.310-8.313; P=0.011) as an independent predictor of cancer progression."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:11054",
            "recommended_name": {
                "id": "DOID:11054",
                "name": "urinary bladder cancer",
                "description": "An urinary system cancer that results_in malignant growth located_in the urinary bladder.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11054"
            },
            "synonyms": [
                {
                    "id": "DOID:11054",
                    "name": "tumor of the bladder",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                },
                {
                    "id": "DOID:11054",
                    "name": "bladder cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11054"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "28927152",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/28927152",
                "evidence_list": [
                    {
                        "evidence": "Low FGFR3 expression level was associated with high-grade tumors and cancer progression (P=0.006 and P=0.001), whereas FGFR3 mutation status was not associated with cancer progression. Kaplan-Meier analysis revealed a similar result (log-rank, P<0.001). Multivariate analysis identified low FGFR3 expression level (odds ratio, 3.300; 95% confidence interval, 1.310-8.313; P=0.011) as an independent predictor of cancer progression."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Expression levels of ",
                "journal": "Oncology letters",
                "authors": "Kang HW, Kim YH, Jeong P, Park C, Kim WT, Ryu DH, Cha EJ, Ha YS, Kim TH, Kwon TG, Moon SK, Choi YH, Yun SJ, Kim WJ",
                "date": "2017-09-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "28927152",
                        "type": "Pubmed",
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                ]
            }
        ],
        "biomarker_canonical_id": "AN4228",
        "collision": 1
    },
    {
        "biomarker_id": "AN4229-1",
        "biomarker_component": [
            {
                "biomarker": "increased methylation",
                "assessed_biomarker_entity": {
                    "recommended_name": "BarH-like 2 homeobox protein gene methylation",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9NY43",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "27441821",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27441821",
                        "evidence_list": [
                            {
                                "evidence": "High levels of BARHL2 methylation were detected in three of seven GC cell lines; consistent with this, these cell lines expressed low levels of BARHL2. Treatment of these cell lines with 5-aza-2'-deoxycytidine restored BARHL2 expression. Levels of BARHL2 methylation in 18 normal and 14 atrophic gastritis samples were low irrespective of Helicobacter pylori infection. High levels of BARHL2 methylation were observed in gastric wash-derived DNA obtained from early GC patients before endoscopic resection (ER), but methylation was significantly lower after curative ER. Analysis using gastric juice derived exoDNA samples revealed that BARHL2 methylation yielded an area under the curve of 0.923 with 90% sensitivity and 100% specificity with respect to discriminating GC patients from non-GC controls."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "27441821",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27441821",
                "evidence_list": [
                    {
                        "evidence": "High levels of BARHL2 methylation were detected in three of seven GC cell lines; consistent with this, these cell lines expressed low levels of BARHL2. Treatment of these cell lines with 5-aza-2'-deoxycytidine restored BARHL2 expression. Levels of BARHL2 methylation in 18 normal and 14 atrophic gastritis samples were low irrespective of Helicobacter pylori infection. High levels of BARHL2 methylation were observed in gastric wash-derived DNA obtained from early GC patients before endoscopic resection (ER), but methylation was significantly lower after curative ER. Analysis using gastric juice derived exoDNA samples revealed that BARHL2 methylation yielded an area under the curve of 0.923 with 90% sensitivity and 100% specificity with respect to discriminating GC patients from non-GC controls."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "BARHL2 Methylation Using Gastric Wash DNA or Gastric Juice Exosomal DNA is a Useful Marker For Early Detection of Gastric Cancer in an H. pylori-Independent Manner.",
                "journal": "Clinical and translational gastroenterology",
                "authors": "Yamamoto H, Watanabe Y, Oikawa R, Morita R, Yoshida Y, Maehata T, Yasuda H, Itoh F",
                "date": "2016-07-22",
                "evidence": [],
                "reference": [
                    {
                        "id": "27441821",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/27441821"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4229",
        "collision": 1
    },
    {
        "biomarker_id": "AN4230-1",
        "biomarker_component": [
            {
                "biomarker": "increased methylation",
                "assessed_biomarker_entity": {
                    "recommended_name": "GDNF family receptor alpha-3 gene promoter methylation",
                    "synonyms": [
                        {
                            "synonym": "GDNF receptor alpha-3"
                        },
                        {
                            "synonym": "GDNFR-alpha-3"
                        },
                        {
                            "synonym": "GFR-alpha-3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O60609",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "26984265",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26984265",
                        "evidence_list": [
                            {
                                "evidence": "The different DNA methylation clusters of the tumors and normal tissue indicate that aberrant DNA methylation is a distinct feature of gastric cancer, although there is little difference in the overall, and low, methylation levels between the two tissue types. The GFRA3 promoter region showed marked hypermethylation in almost all tumors, and its correlation with survival and other clinicopathological parameters may have important prognostic significance."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "26984265",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/26984265",
                "evidence_list": [
                    {
                        "evidence": "The different DNA methylation clusters of the tumors and normal tissue indicate that aberrant DNA methylation is a distinct feature of gastric cancer, although there is little difference in the overall, and low, methylation levels between the two tissue types. The GFRA3 promoter region showed marked hypermethylation in almost all tumors, and its correlation with survival and other clinicopathological parameters may have important prognostic significance."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "GFRA3 promoter methylation may be associated with decreased postoperative survival in gastric cancer.",
                "journal": "BMC cancer",
                "authors": "Eftang LL, Klajic J, Kristensen VN, Tost J, Esbensen QY, Blom GP, Bukholm IR, Bukholm G",
                "date": "2016-03-18",
                "evidence": [],
                "reference": [
                    {
                        "id": "26984265",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/26984265"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4230",
        "collision": 1
    },
    {
        "biomarker_id": "AN4231-1",
        "biomarker_component": [
            {
                "biomarker": "decreased GXP3 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Glutathione peroxidase 3",
                    "synonyms": [
                        {
                            "synonym": "GPx-3"
                        },
                        {
                            "synonym": "GSHPx-3"
                        },
                        {
                            "synonym": "Extracellular glutathione peroxidase"
                        },
                        {
                            "synonym": "Plasma glutathione peroxidase"
                        },
                        {
                            "synonym": "GPx-P"
                        },
                        {
                            "synonym": "GSHPx-P"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22352",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "stomach",
                        "id": "UBERON:0000945",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000945",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "23071548",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23071548",
                        "evidence_list": [
                            {
                                "evidence": "Downregulation or silencing of GPX3 was detected in 8 of 9 cancer cell lines, 83% (90/108) gastric cancers samples, as compared to non-tumor adjacent normal gastric samples (P<0.0001). Examination of GPX3 promoter demonstrated DNA hypermethylation (= 10% methylation level determined by Bisulfite Pyrosequencing) in 6 of 9 cancer cell lines and 60% of gastric cancer samples (P = 0.007). We also detected a significant loss of DNA copy number of GPX3 in gastric cancers (P<0.001)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:10534",
            "recommended_name": {
                "id": "DOID:10534",
                "name": "stomach cancer",
                "description": "A gastrointestinal system cancer that is located_in the stomach.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10534"
            },
            "synonyms": [
                {
                    "id": "DOID:10534",
                    "name": "gastric neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                },
                {
                    "id": "DOID:10534",
                    "name": "gastric cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10534"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "23071548",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/23071548",
                "evidence_list": [
                    {
                        "evidence": "Downregulation or silencing of GPX3 was detected in 8 of 9 cancer cell lines, 83% (90/108) gastric cancers samples, as compared to non-tumor adjacent normal gastric samples (P<0.0001). Examination of GPX3 promoter demonstrated DNA hypermethylation (= 10% methylation level determined by Bisulfite Pyrosequencing) in 6 of 9 cancer cell lines and 60% of gastric cancer samples (P = 0.007). We also detected a significant loss of DNA copy number of GPX3 in gastric cancers (P<0.001)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Silencing of glutathione peroxidase 3 through DNA hypermethylation is associated with lymph node metastasis in gastric carcinomas.",
                "journal": "PloS one",
                "authors": "Peng DF, Hu TL, Schneider BG, Chen Z, Xu ZK, El-Rifai W",
                "date": "2012-10-17",
                "evidence": [],
                "reference": [
                    {
                        "id": "23071548",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/23071548"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4231",
        "collision": 1
    },
    {
        "biomarker_id": "AA5013-1",
        "biomarker_component": [
            {
                "biomarker": "increased SNHG5 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Long noncoding RNA SNHG5",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "RNAC:URS000075B42D",
                "assessed_entity_type": "RNA",
                "specimen": [
                    {
                        "name": "kidney",
                        "id": "UBERON:0002113",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002113",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32281285",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281285",
                        "evidence_list": [
                            {
                                "evidence": "SNHG5 expression was found to be remarkably increased in ccRCC samples."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "32194916",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32194916",
                        "evidence_list": [
                            {
                                "evidence": "SNHG5 expression levels were significantly increased in ccRCC tissues compared to those in non-tumor tissue. Inhibition of SNHG5 expression significantly reduced invasion ability and increased apoptosis rate of 786-O RCC cells infected with shR-NA-SNHG5."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32281285",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32281285",
                "evidence_list": [
                    {
                        "evidence": "SNHG5 expression was found to be remarkably increased in ccRCC samples."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "32194916",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32194916",
                "evidence_list": [
                    {
                        "evidence": "SNHG5 expression levels were significantly increased in ccRCC tissues compared to those in non-tumor tissue. Inhibition of SNHG5 expression significantly reduced invasion ability and increased apoptosis rate of 786-O RCC cells infected with shR-NA-SNHG5."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The lncRNA SNHG5-mediated miR-205-5p downregulation contributes to the progression of clear cell renal cell carcinoma by targeting ZEB1.",
                "journal": "Cancer medicine",
                "authors": "Xiang W, Lv L, Zhou G, Wu W, Yuan J, Zhang C, Jiang G",
                "date": "2020-04-14",
                "evidence": [],
                "reference": [
                    {
                        "id": "32281285",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32281285"
                    }
                ]
            },
            {
                "title": "Long non-coding RNA SNHG5 affects the invasion and apoptosis of renal cell carcinoma by regulating the miR-363-3p-Twist1 interaction.",
                "journal": "American journal of translational research",
                "authors": "Li WZ, Zou Y, Song ZY, Wei ZW, Chen G, Cai QL, Wang Z",
                "date": "2020-03-21",
                "evidence": [],
                "reference": [
                    {
                        "id": "32194916",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32194916"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA5013",
        "collision": 1
    },
    {
        "biomarker_id": "AN4232-1",
        "biomarker_component": [
            {
                "biomarker": "BRACAnalysis CDx ovarian cancer germline BRCA1, BRCA2 mutations panel",
                "assessed_biomarker_entity": {
                    "recommended_name": "BRCA1",
                    "synonyms": [
                        {
                            "synonym": "RING finger protein 53"
                        },
                        {
                            "synonym": "RING-type E3 ubiquitin transferase BRCA1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P38398",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "21636-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P140020",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P140020",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in ovarian cancer patients with deleterious or suspected deleterious germline BRCA variants. The genes are BRCA1 (UPKB:P38398), BRCA2 (UPKB:P51587)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
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                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160018",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene risk biomarkers (mutations) in ovarian cancer. The genes are BRCA1 (UPKB:P38398) and BRCA2 (UPKB:P51587)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:2394",
            "recommended_name": {
                "id": "DOID:2394",
                "name": "ovarian cancer",
                "description": "A female reproductive organ cancer that is located_in the ovary.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_2394"
            },
            "synonyms": [
                {
                    "id": "DOID:2394",
                    "name": "primary ovarian cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovary neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant tumour of ovary",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_2394"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P160018",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160018",
                "evidence_list": [
                    {
                        "evidence": "Panel of identified gene risk biomarkers (mutations) in ovarian cancer. The genes are BRCA1 (UPKB:P38398) and BRCA2 (UPKB:P51587)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4463",
        "collision": 0
    },
    {
        "biomarker_id": "AN4464-1",
        "biomarker_component": [
            {
                "biomarker": "increased level",
                "assessed_biomarker_entity": {
                    "recommended_name": "GeneSearch breast cancer breast lymph node  MG, KRT19 expression panel",
                    "synonyms": [
                        {
                            "synonym": "Cytokeratin-19"
                        },
                        {
                            "synonym": "CK-19"
                        },
                        {
                            "synonym": "Keratin-19"
                        },
                        {
                            "synonym": "K19"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P08727",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lymph node",
                        "id": "UBERON:0000029",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000029",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P060017",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P060017",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression levels (measured by the Ct value determined when the fluorescent signal exceeds a pre-defined threshold limit. If the external controls are valid, then the Ct value for each gene marker in the patient sample is compared to marker-specific Ct cutoff values. Samples with Ct values less than or equal to one or both of the cutoff values for MG or CKi9 are considered positive. The Cutoff Ct values are as follows: MG < 31, CK19 < 30, Internal Control < 36.) for breast cancer metastasis. The genes are MG and KRT19 (UPKB:P08727)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "increased level",
                "assessed_biomarker_entity": {
                    "recommended_name": "GeneSearch breast cancer breast lymph node  MG, KRT19 expression panel",
                    "synonyms": [
                        {
                            "synonym": "Lacryglobin"
                        },
                        {
                            "synonym": "Lipophilin-C"
                        },
                        {
                            "synonym": "Mammaglobin-2"
                        },
                        {
                            "synonym": "Secretoglobin family 2A member 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O75556",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lymph node",
                        "id": "UBERON:0000029",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000029",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P060017",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P060017",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression levels (measured by the Ct value determined when the fluorescent signal exceeds a pre-defined threshold limit. If the external controls are valid, then the Ct value for each gene marker in the patient sample is compared to marker-specific Ct cutoff values. Samples with Ct values less than or equal to one or both of the cutoff values for MG or CKi9 are considered positive. The Cutoff Ct values are as follows: MG < 31, CK19 < 30, Internal Control < 36.) for breast cancer metastasis. The genes are MG and KRT19 (UPKB:P08727)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P060017",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P060017",
                "evidence_list": [
                    {
                        "evidence": "Gene expression levels (measured by the Ct value determined when the fluorescent signal exceeds a pre-defined threshold limit. If the external controls are valid, then the Ct value for each gene marker in the patient sample is compared to marker-specific Ct cutoff values. Samples with Ct values less than or equal to one or both of the cutoff values for MG or CKi9 are considered positive. The Cutoff Ct values are as follows: MG < 31, CK19 < 30, Internal Control < 36.) for breast cancer metastasis. The genes are MG and KRT19 (UPKB:P08727)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4464",
        "collision": 0
    },
    {
        "biomarker_id": "AN4465-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Anaplastic lymphoma kinase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UM73",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Cell division protein kinase 4"
                        },
                        {
                            "synonym": "PSK-J3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P11802",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Discoidin domain receptor 2"
                        },
                        {
                            "synonym": "CD167 antigen-like family member B"
                        },
                        {
                            "synonym": "Discoidin domain-containing receptor tyrosine kinase 2"
                        },
                        {
                            "synonym": "Neurotrophic tyrosine kinase, receptor-related 3"
                        },
                        {
                            "synonym": "Receptor protein-tyrosine kinase TKT"
                        },
                        {
                            "synonym": "Tyrosine-protein kinase TYRO10"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q16832",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "MAP kinase kinase 1"
                        },
                        {
                            "synonym": "MAPKK 1"
                        },
                        {
                            "synonym": "MKK1"
                        },
                        {
                            "synonym": "ERK activator kinase 1"
                        },
                        {
                            "synonym": "MAPK/ERK kinase 1"
                        },
                        {
                            "synonym": "MEK 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q02750",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "MAP kinase kinase 2"
                        },
                        {
                            "synonym": "MAPKK 2"
                        },
                        {
                            "synonym": "ERK activator kinase 2"
                        },
                        {
                            "synonym": "MAPK/ERK kinase 2"
                        },
                        {
                            "synonym": "MEK 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P36507",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene c-ErbB-1"
                        },
                        {
                            "synonym": "Receptor tyrosine-protein kinase erbB-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P00533",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "FGFR-2"
                        },
                        {
                            "synonym": "K-sam"
                        },
                        {
                            "synonym": "KGFR"
                        },
                        {
                            "synonym": "Keratinocyte growth factor receptor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21802",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "FGFR-3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22607",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "H-Ras-1"
                        },
                        {
                            "synonym": "Ha-Ras"
                        },
                        {
                            "synonym": "Transforming protein p21"
                        },
                        {
                            "synonym": "c-H-ras"
                        },
                        {
                            "synonym": "p21ras"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01112",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "K-Ras 2"
                        },
                        {
                            "synonym": "Ki-Ras"
                        },
                        {
                            "synonym": "c-K-ras"
                        },
                        {
                            "synonym": "c-Ki-ras"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01116",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Transforming protein N-Ras"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01111",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "HGF receptor"
                        },
                        {
                            "synonym": "HGF/SF receptor"
                        },
                        {
                            "synonym": "Proto-oncogene c-Met"
                        },
                        {
                            "synonym": "Scatter factor receptor"
                        },
                        {
                            "synonym": "SF receptor"
                        },
                        {
                            "synonym": "Tyrosine-protein kinase Met"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P08581",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "SCFR"
                        },
                        {
                            "synonym": "Piebald trait protein"
                        },
                        {
                            "synonym": "PBT"
                        },
                        {
                            "synonym": "Proto-oncogene c-Kit"
                        },
                        {
                            "synonym": "Tyrosine-protein kinase Kit"
                        },
                        {
                            "synonym": "p145 c-kit"
                        },
                        {
                            "synonym": "v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10721",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "PI3-kinase subunit alpha"
                        },
                        {
                            "synonym": "PI3K-alpha"
                        },
                        {
                            "synonym": "PI3Kalpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit alpha"
                        },
                        {
                            "synonym": "Phosphatidylinositol 4,5-bisphosphate 3-kinase 110 kDa catalytic subunit alpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit p110-alpha"
                        },
                        {
                            "synonym": "p110alpha"
                        },
                        {
                            "synonym": "Phosphoinositide 3-kinase alpha"
                        },
                        {
                            "synonym": "Phosphoinositide-3-kinase catalytic alpha polypeptide"
                        },
                        {
                            "synonym": "Serine/threonine protein kinase PIK3CA"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P42336",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "PDGF-R-alpha"
                        },
                        {
                            "synonym": "PDGFR-alpha"
                        },
                        {
                            "synonym": "Alpha platelet-derived growth factor receptor"
                        },
                        {
                            "synonym": "Alpha-type platelet-derived growth factor receptor"
                        },
                        {
                            "synonym": "CD140 antigen-like family member A"
                        },
                        {
                            "synonym": "CD140a antigen"
                        },
                        {
                            "synonym": "Platelet-derived growth factor alpha receptor"
                        },
                        {
                            "synonym": "Platelet-derived growth factor receptor 2"
                        },
                        {
                            "synonym": "PDGFR-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P16234",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Cadherin family member 12"
                        },
                        {
                            "synonym": "Proto-oncogene c-Ret"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07949",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene c-Ros"
                        },
                        {
                            "synonym": "Proto-oncogene c-Ros-1"
                        },
                        {
                            "synonym": "Receptor tyrosine kinase c-ros oncogene 1"
                        },
                        {
                            "synonym": "c-Ros receptor tyrosine kinase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P08922",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Protein kinase B"
                        },
                        {
                            "synonym": "PKB"
                        },
                        {
                            "synonym": "Protein kinase B alpha"
                        },
                        {
                            "synonym": "PKB alpha"
                        },
                        {
                            "synonym": "Proto-oncogene c-Akt"
                        },
                        {
                            "synonym": "RAC-PK-alpha"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P31749",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene c-RAF"
                        },
                        {
                            "synonym": "cRaf"
                        },
                        {
                            "synonym": "Raf-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04049",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Metastatic lymph node gene 19 protein"
                        },
                        {
                            "synonym": "MLN 19"
                        },
                        {
                            "synonym": "Proto-oncogene Neu"
                        },
                        {
                            "synonym": "Proto-oncogene c-ErbB-2"
                        },
                        {
                            "synonym": "Tyrosine kinase-type cell surface receptor HER2"
                        },
                        {
                            "synonym": "p185erbB2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04626",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene-like protein c-ErbB-3"
                        },
                        {
                            "synonym": "Tyrosine kinase-type cell surface receptor HER3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P21860",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene B-Raf"
                        },
                        {
                            "synonym": "p94"
                        },
                        {
                            "synonym": "v-Raf murine sarcoma viral oncogene homolog B1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15056",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Oncomine lung cancer Dx 23 target gene mutations panel",
                    "synonyms": [
                        {
                            "synonym": "FK506-binding protein 12-rapamycin complex-associated protein 1"
                        },
                        {
                            "synonym": "FKBP12-rapamycin complex-associated protein"
                        },
                        {
                            "synonym": "Mammalian target of rapamycin"
                        },
                        {
                            "synonym": "mTOR"
                        },
                        {
                            "synonym": "Mechanistic target of rapamycin"
                        },
                        {
                            "synonym": "Rapamycin and FKBP12 target 1"
                        },
                        {
                            "synonym": "Rapamycin target protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P42345",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P160045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:1324",
            "recommended_name": {
                "id": "DOID:1324",
                "name": "lung cancer",
                "description": "A respiratory system cancer that is located_in the lung.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1324"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "P160045",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P160045",
                "evidence_list": [
                    {
                        "evidence": "Panel of identified gene predictive biomarkers (mutations) in lung cancer. The genes are ALK (UPKB:Q9UM73), CDK4 (UPKB:P11802), DDR2 (UPKB:Q16832), MAP2K1 (UPKB:Q02750), MAP2K2 (UPKB:P36507), EGFR (UPKB:P00533), FGFR2 (UPKB:P21802), FGFR3 (UPKB:P22607), HRAS (UPKB:P01112), KRAS (UPKB:P01116), NRAS (UPKB:P01111), MET (UPKB:P08581), KIT (UPKB:P10721), PIK3CA (UPKB:P42336), PGFRA (UPKB:P16234), RET (UPKB:P07949), ROS1 (UPKB:P08922), ATK1 (UPKB:P31749), RAF1 (UPKB:P04049), ERBB2 (UPKB:P04626), ERBB3 (UPKB:P21860), BRAF (UPKB:P15056), MTOR (UPKB:P42345)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4465",
        "collision": 0
    },
    {
        "biomarker_id": "AN4466-1",
        "biomarker_component": [
            {
                "biomarker": "mRNA ratio",
                "assessed_biomarker_entity": {
                    "recommended_name": "PROGENSA prostate cancer PCA3, PSA mRNA ratio",
                    "synonyms": [
                        {
                            "synonym": "PSA"
                        },
                        {
                            "synonym": "Gamma-seminoprotein"
                        },
                        {
                            "synonym": "Seminin"
                        },
                        {
                            "synonym": "Kallikrein-3"
                        },
                        {
                            "synonym": "P-30 antigen"
                        },
                        {
                            "synonym": "Semenogelase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07288",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P100033",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100033",
                        "evidence_list": [
                            {
                                "evidence": "PCA3 score of measured ratio of PCA3 mRNA to PSA mRNA (UPKB:P07288) level as risk biomarker for prostate cancer patients. A PCA3 Score <25 is associated with a decreased likelihood of a positive biopsy. Prostatic biopsy is required for diagnosis of cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "mRNA ratio",
                "assessed_biomarker_entity": {
                    "recommended_name": "PROGENSA prostate cancer PCA3, PSA mRNA ratio",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "RNAC:URS00008E3A1F",
                "assessed_entity_type": "RNA",
                "specimen": [
                    {
                        "name": "urine",
                        "id": "UBERON:0001088",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001088",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P100033",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100033",
                        "evidence_list": [
                            {
                                "evidence": "PCA3 score of measured ratio of PCA3 mRNA to PSA mRNA (UPKB:P07288) level as risk biomarker for prostate cancer patients. A PCA3 Score <25 is associated with a decreased likelihood of a positive biopsy. Prostatic biopsy is required for diagnosis of cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:10283",
            "recommended_name": {
                "id": "DOID:10283",
                "name": "prostate cancer",
                "description": "A male reproductive organ cancer that is located_in the prostate.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_10283"
            },
            "synonyms": [
                {
                    "id": "DOID:10283",
                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P100033",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100033",
                "evidence_list": [
                    {
                        "evidence": "PCA3 score of measured ratio of PCA3 mRNA to PSA mRNA (UPKB:P07288) level as risk biomarker for prostate cancer patients. A PCA3 Score <25 is associated with a decreased likelihood of a positive biopsy. Prostatic biopsy is required for diagnosis of cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4466",
        "collision": 0
    },
    {
        "biomarker_id": "AN4467-1",
        "biomarker_component": [
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "ARP3-beta"
                        },
                        {
                            "synonym": "Actin-like protein 3B"
                        },
                        {
                            "synonym": "Actin-related protein ARP4"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9P1U1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9NQW6",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P10415",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Arylamide acetylase 1"
                        },
                        {
                            "synonym": "Monomorphic arylamine N-acetyltransferase"
                        },
                        {
                            "synonym": "MNAT"
                        },
                        {
                            "synonym": "N-acetyltransferase type 1"
                        },
                        {
                            "synonym": "NAT-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P18440",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Apoptosis inhibitor 4"
                        },
                        {
                            "synonym": "Apoptosis inhibitor survivin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O15392",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "BAG-1"
                        },
                        {
                            "synonym": "Bcl-2-associated athanogene 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99933",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "BVR A"
                        },
                        {
                            "synonym": "Biliverdin-IX alpha-reductase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P53004",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Placental cadherin"
                        },
                        {
                            "synonym": "P-cadherin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22223",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "CDC6-related protein"
                        },
                        {
                            "synonym": "Cdc18-related protein"
                        },
                        {
                            "synonym": "HsCdc18"
                        },
                        {
                            "synonym": "p62(cdc6)"
                        },
                        {
                            "synonym": "HsCDC6"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99741",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "p55CDC"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q12834",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "CENP-F"
                        },
                        {
                            "synonym": "AH antigen"
                        },
                        {
                            "synonym": "Kinetochore protein CENPF"
                        },
                        {
                            "synonym": "Mitosin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P49454",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Cep55"
                        },
                        {
                            "synonym": "Up-regulated in colon cancer 6"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q53EZ4",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "CF5"
                        },
                        {
                            "synonym": "Putative MAPK-activating protein PM08"
                        },
                        {
                            "synonym": "Putative NF-kappa-B-activating protein 102"
                        },
                        {
                            "synonym": "Retinoid-inducible nuclear factor"
                        },
                        {
                            "synonym": "RINF"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q7LFL8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "3-PGDH"
                        },
                        {
                            "synonym": "2-oxoglutarate reductase"
                        },
                        {
                            "synonym": "Malate dehydrogenase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O43175",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Double minute 2 protein"
                        },
                        {
                            "synonym": "Hdm2"
                        },
                        {
                            "synonym": "Oncoprotein Mdm2"
                        },
                        {
                            "synonym": "RING-type E3 ubiquitin transferase Mdm2"
                        },
                        {
                            "synonym": "p53-binding protein Mdm2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q00987",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene c-ErbB-1"
                        },
                        {
                            "synonym": "Receptor tyrosine-protein kinase erbB-1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P00533",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "ER"
                        },
                        {
                            "synonym": "ER-alpha"
                        },
                        {
                            "synonym": "Estradiol receptor"
                        },
                        {
                            "synonym": "Nuclear receptor subfamily 3 group A member 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P03372",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "hExo1"
                        },
                        {
                            "synonym": "Exonuclease I"
                        },
                        {
                            "synonym": "hExoI"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UQ84",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "FGFR-4"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22455",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Forkhead-related protein FKHL7"
                        },
                        {
                            "synonym": "Forkhead-related transcription factor 3"
                        },
                        {
                            "synonym": "FREAC-3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q12948",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P24864",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P14635",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "B47"
                        },
                        {
                            "synonym": "Epidermal growth factor receptor GRB-7"
                        },
                        {
                            "synonym": "GRB7 adapter protein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14451",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "HNF-3-alpha"
                        },
                        {
                            "synonym": "HNF-3A"
                        },
                        {
                            "synonym": "Forkhead box protein A1"
                        },
                        {
                            "synonym": "Transcription factor 3A"
                        },
                        {
                            "synonym": "TCF-3A"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P55317",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Cytokeratin-14"
                        },
                        {
                            "synonym": "CK-14"
                        },
                        {
                            "synonym": "Keratin-14"
                        },
                        {
                            "synonym": "K14"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P02533",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "39.1"
                        },
                        {
                            "synonym": "Cytokeratin-17"
                        },
                        {
                            "synonym": "CK-17"
                        },
                        {
                            "synonym": "Keratin-17"
                        },
                        {
                            "synonym": "K17"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q04695",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "58 kDa cytokeratin"
                        },
                        {
                            "synonym": "Cytokeratin-5"
                        },
                        {
                            "synonym": "CK-5"
                        },
                        {
                            "synonym": "Keratin-5"
                        },
                        {
                            "synonym": "K5"
                        },
                        {
                            "synonym": "Type-II keratin Kb5"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P13647",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Kinesin-like protein 6"
                        },
                        {
                            "synonym": "Mitotic centromere-associated kinesin"
                        },
                        {
                            "synonym": "MCAK"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q99661",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Highly expressed in cancer protein"
                        },
                        {
                            "synonym": "Kinetochore protein Hec1"
                        },
                        {
                            "synonym": "HsHec1"
                        },
                        {
                            "synonym": "Kinetochore-associated protein 2"
                        },
                        {
                            "synonym": "Retinoblastoma-associated protein HEC"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O14777",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "hNuf2"
                        },
                        {
                            "synonym": "hNuf2R"
                        },
                        {
                            "synonym": "hsNuf2"
                        },
                        {
                            "synonym": "Cell division cycle-associated protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9BZD4",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "hMELK"
                        },
                        {
                            "synonym": "Protein kinase Eg3"
                        },
                        {
                            "synonym": "pEg3 kinase"
                        },
                        {
                            "synonym": "Protein kinase PK38"
                        },
                        {
                            "synonym": "hPK38"
                        },
                        {
                            "synonym": "Tyrosine-protein kinase MELK"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14680",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "MIA protein 2"
                        },
                        {
                            "synonym": "CTAGE family member 5 ER export factor"
                        },
                        {
                            "synonym": "Cutaneous T-cell lymphoma-associated antigen 5"
                        },
                        {
                            "synonym": "Meningioma-expressed antigen 6/11"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96PC5",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Exophilin-3"
                        },
                        {
                            "synonym": "Slp homolog lacking C2 domains a"
                        },
                        {
                            "synonym": "SlaC2-a"
                        },
                        {
                            "synonym": "Synaptotagmin-like protein 2a"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9BV36",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Neurofibrillary tangle protein"
                        },
                        {
                            "synonym": "Paired helical filament-tau"
                        },
                        {
                            "synonym": "PHF-tau"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10636",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Nucleolar phosphoprotein Nopp34"
                        },
                        {
                            "synonym": "Nucleolar protein interacting with the FHA domain of pKI-67"
                        },
                        {
                            "synonym": "hNIFK"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9BYG3",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "B-Myb"
                        },
                        {
                            "synonym": "Myb-like protein 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P10244",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Class E basic helix-loop-helix protein 39"
                        },
                        {
                            "synonym": "bHLHe39"
                        },
                        {
                            "synonym": "Proto-oncogene c-Myc"
                        },
                        {
                            "synonym": "Transcription factor p64"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01106",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y5N6",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Ferredoxin-plastoquinone reductase 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8H112",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "G-protein coupled receptor GPCR1"
                        },
                        {
                            "synonym": "hGPCR1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UJ42",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Antigen identified by monoclonal antibody Ki-67"
                        },
                        {
                            "synonym": "Antigen KI-67"
                        },
                        {
                            "synonym": "Antigen Ki67"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P46013",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Metastatic lymph node gene 19 protein"
                        },
                        {
                            "synonym": "MLN 19"
                        },
                        {
                            "synonym": "Proto-oncogene Neu"
                        },
                        {
                            "synonym": "Proto-oncogene c-ErbB-2"
                        },
                        {
                            "synonym": "Tyrosine kinase-type cell surface receptor HER2"
                        },
                        {
                            "synonym": "p185erbB2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04626",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Ribonucleotide reductase small chain"
                        },
                        {
                            "synonym": "Ribonucleotide reductase small subunit"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P31350",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "FRP-1"
                        },
                        {
                            "synonym": "sFRP-1"
                        },
                        {
                            "synonym": "Secreted apoptosis-related protein 2"
                        },
                        {
                            "synonym": "SARP-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8N474",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Esp1-associated protein"
                        },
                        {
                            "synonym": "Pituitary tumor-transforming gene 1 protein"
                        },
                        {
                            "synonym": "Tumor-transforming protein 1"
                        },
                        {
                            "synonym": "hPTTG"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O95997",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "SL-3"
                        },
                        {
                            "synonym": "ST3"
                        },
                        {
                            "synonym": "Matrix metalloproteinase-11"
                        },
                        {
                            "synonym": "MMP-11"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P24347",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "TS"
                        },
                        {
                            "synonym": "TSase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P04818",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q96B21",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "(E3-independent) E2 ubiquitin-conjugating enzyme C"
                        },
                        {
                            "synonym": "E2 ubiquitin-conjugating enzyme C"
                        },
                        {
                            "synonym": "UbcH10"
                        },
                        {
                            "synonym": "Ubiquitin carrier protein C"
                        },
                        {
                            "synonym": "Ubiquitin-protein ligase C"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O00762",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Cell proliferation-inducing gene 50 protein"
                        },
                        {
                            "synonym": "E2 ubiquitin-conjugating enzyme T"
                        },
                        {
                            "synonym": "Ubiquitin carrier protein T"
                        },
                        {
                            "synonym": "Ubiquitin-protein ligase T"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9NPD8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prosigna breast cancer 51 mRNA expression panel",
                    "synonyms": [
                        {
                            "synonym": "Estrogen-regulated protein LIV-1"
                        },
                        {
                            "synonym": "Solute carrier family 39 member 6"
                        },
                        {
                            "synonym": "Zrt- and Irt-like protein 6"
                        },
                        {
                            "synonym": "ZIP-6"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q13433",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "76546-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K130010",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                        "evidence_list": [
                            {
                                "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "K130010",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K130010",
                "evidence_list": [
                    {
                        "evidence": "Gene expression signature profile (measured by calculating the amount of each RNA entered into a proprietary algorithm to produce a Prosigna score (0-100) and risk category (low 0-40/intermediate 41-60/high 41-40 for node-negative classification and 61-100 for node positive classification) for breast cancer patients. The genes are ACTR3B (UPKB:Q9P1U1), ANLN (UPKB:Q9NQW6), BCL2 (UPKB:P10415), NAT1 (UPKB:P18440), BIRC5 (UPKB:O15392), BAG1 (UPKB:Q99933), BLVRA (UPKB:P53004), CDH3 (UPKB:P22223), CDC6 (UPKB:Q99741), CDC20 (UPKB:Q12834), CENPF (UPKB:P49454), CEP55 (UPKB:Q53EZ4), CXXC5 (UPKB:Q7LFL8), PHGDH (UPKB:O43175), MDM2 (UPKB:Q00987), EGFR (UPKB:P00533), ESR1 (UPKB:P03372), EXO1  (UPKB:Q9UQ84), FGFR4 (UPKB:P22455), FOXC1 (UPKB:Q12948), CCNE1 (UPKB:P24864), CCNB1 (UPKB:P14635), GRB7 (UPKB:Q14451), FOXA1 (UPKB:P55317), KRT14 (UPKB:P02533), KRT17 (UPKB:Q04695), KRT5 (UPKB:P13647), KIF2C (UPKB:Q99661), NDC80 (UPKB:O14777), NUF2 (UPKB:Q9BZD4), MELK (UPKB:Q14680), MIA2 (UPKB:Q96PC5), MLPH (UPKB:Q9BV36), MAPT (UPKB:P10636), MIKF (UPKB:Q9BYG3), MYBL2 (UPKB:P10244), MYC (UPKB:P01106), ORC6 (UPKB:Q9Y5N6), PGRL1A (UPKB:Q8H112), GPR160 (UPKB:Q9UJ42), MKI67 (UPKB:P46013), ERBB2 (UPKB:P04626), RRM2 (UPKB:P31350), SFRP1 (UPKB:Q8N474), PTTG1 (UPKB:O95997), MMPL1 (UPKB:P24347), TYMS (UPKB:P04818), TMEM45B (UPKB:Q96B21), UBE3C (UPKB:O00762), UBE2T (UPKB:Q9NPD8), SLC39A6 (UPKB:Q13433)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4467",
        "collision": 0
    },
    {
        "biomarker_id": "AN4468-1",
        "biomarker_component": [
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Ventana colorectal cancer BRAF, MLH1, MSH2, MSH6, PMS2 panel",
                    "synonyms": [
                        {
                            "synonym": "MutL protein homolog 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P40692",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "DEN170026",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Ventana colorectal cancer BRAF, MLH1, MSH2, MSH6, PMS2 panel",
                    "synonyms": [
                        {
                            "synonym": "hMSH2"
                        },
                        {
                            "synonym": "MutS protein homolog 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P43246",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "DEN170026",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Ventana colorectal cancer BRAF, MLH1, MSH2, MSH6, PMS2 panel",
                    "synonyms": [
                        {
                            "synonym": "hMSH6"
                        },
                        {
                            "synonym": "G/T mismatch-binding protein"
                        },
                        {
                            "synonym": "GTBP"
                        },
                        {
                            "synonym": "GTMBP"
                        },
                        {
                            "synonym": "MutS protein homolog 6"
                        },
                        {
                            "synonym": "MutS-alpha 160 kDa subunit"
                        },
                        {
                            "synonym": "p160"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P52701",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "DEN170026",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Ventana colorectal cancer BRAF, MLH1, MSH2, MSH6, PMS2 panel",
                    "synonyms": [
                        {
                            "synonym": "DNA mismatch repair protein PMS2"
                        },
                        {
                            "synonym": "PMS1 protein homolog 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P54278",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "DEN170026",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Ventana colorectal cancer BRAF, MLH1, MSH2, MSH6, PMS2 panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene B-Raf"
                        },
                        {
                            "synonym": "p94"
                        },
                        {
                            "synonym": "v-Raf murine sarcoma viral oncogene homolog B1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15056",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": "81691-8"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "DEN170026",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                        "evidence_list": [
                            {
                                "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "DEN170026",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=DEN170026",
                "evidence_list": [
                    {
                        "evidence": "Panel of identified protein prognostic biomarkers (differential expression) and a gene prognostic biomarker (mutation) in colorectal cancer. The proteins are MLH1 (UPKB:P40692), MSH2 (UPKB:P43246), MSH6 (UPKB:P52701), PMS2 (UPKB:P54278) and the gene is BRAF (UPKB:P15056)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4468",
        "collision": 0
    },
    {
        "biomarker_id": "AN4238-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "COBAS colorectal cancer KRAS somatic codon mutations panel",
                    "synonyms": [
                        {
                            "synonym": "K-Ras 2"
                        },
                        {
                            "synonym": "Ki-Ras"
                        },
                        {
                            "synonym": "c-K-ras"
                        },
                        {
                            "synonym": "c-Ki-ras"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01116",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "colon",
                        "id": "UBERON:0001155",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001155",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P140023",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P140023",
                        "evidence_list": [
                            {
                                "evidence": "The Cobas KRAS Mutation Test, for use with the cobas 4800 System, is a real-time PCR test for the detection of seven somatic mutations in codons 12 and 13 of the KRAS gene in DNA derived from formalin-fixed paraffin-embedded human colorectal cancer (CRC) tumor tissue. The test is intended to be used as an aid in the identification of CRC patients for whom treatment with Erbitux (cetuximab) or with Vectibix (panitumumab) may be indicated based on a no mutation detected result. Specimens are processed using the cobas DNA Sample Preparation Kit for manual sample preparation and the cobas z 480 analyzer for automated amplification and detection."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "P140023",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P140023",
                "evidence_list": [
                    {
                        "evidence": "The Cobas KRAS Mutation Test, for use with the cobas 4800 System, is a real-time PCR test for the detection of seven somatic mutations in codons 12 and 13 of the KRAS gene in DNA derived from formalin-fixed paraffin-embedded human colorectal cancer (CRC) tumor tissue. The test is intended to be used as an aid in the identification of CRC patients for whom treatment with Erbitux (cetuximab) or with Vectibix (panitumumab) may be indicated based on a no mutation detected result. Specimens are processed using the cobas DNA Sample Preparation Kit for manual sample preparation and the cobas z 480 analyzer for automated amplification and detection."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4238",
        "collision": 1
    },
    {
        "biomarker_id": "AN4319-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Dako breast cancer TOP2A  copy number FISH panel",
                    "synonyms": [
                        {
                            "synonym": "DNA topoisomerase II, alpha isozyme"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P11388",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "63070-7"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P050045",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P050045",
                        "evidence_list": [
                            {
                                "evidence": "TOP2A FISH pharmDx Kit is designed to detect amplifications and deletions (copy number changes) of the TOP2A gene using fluorescence in situ hybridization (FISH) technique on formalin- fixed, paraffin-embedded human breast cancer tissue specimens. Deletions and amplifications of the TOP2A gene serve as a marker for poor prognosis in high-risk breast cancer patients. Results from the TOP2A FISH pharmDx MT Kit are intended for use as an adjunct to existing clinical and pathological information."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P050045",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P050045",
                "evidence_list": [
                    {
                        "evidence": "TOP2A FISH pharmDx Kit is designed to detect amplifications and deletions (copy number changes) of the TOP2A gene using fluorescence in situ hybridization (FISH) technique on formalin- fixed, paraffin-embedded human breast cancer tissue specimens. Deletions and amplifications of the TOP2A gene serve as a marker for poor prognosis in high-risk breast cancer patients. Results from the TOP2A FISH pharmDx MT Kit are intended for use as an adjunct to existing clinical and pathological information."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4319",
        "collision": 1
    },
    {
        "biomarker_id": "AN4259-2",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "THXID skin cancer BRAF V600E, K mutations panel",
                    "synonyms": [
                        {
                            "synonym": "Proto-oncogene B-Raf"
                        },
                        {
                            "synonym": "p94"
                        },
                        {
                            "synonym": "v-Raf murine sarcoma viral oncogene homolog B1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P15056",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "skin epidermis",
                        "id": "UBERON:0001003",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001003",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P120014",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P120014",
                        "evidence_list": [
                            {
                                "evidence": "THXID BRAF kit is an in vitro diagnostic device intended for the qualitative detection of the BRAF V600E and V600K mutations in DNA samples extracted from formalin-fixed paraffin embedded (ffpe) human melanoma tissue. the THXID BRAF KIT is a real-time PCR test on the abi 7500 fast dx system and is intended to be used as an aid in selecting melanoma patients whose tumors carry the BRAF v600e mutation for treatment with dabrafenib [tafinlar ] and as an aid in selecting melanoma patients whose tumors carry the BRAF v600e or v600k mutation for treatment with trametinib [mekinist]."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P120014",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P120014",
                "evidence_list": [
                    {
                        "evidence": "THXID BRAF kit is an in vitro diagnostic device intended for the qualitative detection of the BRAF V600E and V600K mutations in DNA samples extracted from formalin-fixed paraffin embedded (ffpe) human melanoma tissue. the THXID BRAF KIT is a real-time PCR test on the abi 7500 fast dx system and is intended to be used as an aid in selecting melanoma patients whose tumors carry the BRAF v600e mutation for treatment with dabrafenib [tafinlar ] and as an aid in selecting melanoma patients whose tumors carry the BRAF v600e or v600k mutation for treatment with trametinib [mekinist]."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4259",
        "collision": 1
    },
    {
        "biomarker_id": "AN4320-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Invader skin cancer UGT1A1 *1, *28 alleles panel",
                    "synonyms": [
                        {
                            "synonym": "UGT1A1"
                        },
                        {
                            "synonym": "Bilirubin-specific UDPGT isozyme 1"
                        },
                        {
                            "synonym": "hUG-BR1"
                        },
                        {
                            "synonym": "UDP-glucuronosyltransferase 1-1"
                        },
                        {
                            "synonym": "UDPGT 1-1"
                        },
                        {
                            "synonym": "UGT1*1"
                        },
                        {
                            "synonym": "UGT1-01"
                        },
                        {
                            "synonym": "UGT1.1"
                        },
                        {
                            "synonym": "UDP-glucuronosyltransferase 1A isoform 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P22309",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K051824",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K051824",
                        "evidence_list": [
                            {
                                "evidence": "The Invader UGT1A1 Molecular Assay is an in vitro diagnostic test for the detection and genotyping of the *1 (TA6) and *28 (TA7) alleles of the UDP glucuronosyltransferase 1A1 (UGT1A1) gene in genomic DNA from whole peripheral blood as an aid in the identification of patients with greater risk for decreased UDP-glucuronosyltransferase activity."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:4159",
            "recommended_name": {
                "id": "DOID:4159",
                "name": "skin cancer",
                "description": "An integumentary system cancer located_in the skin that is the uncontrolled growth of abnormal skin cells.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_4159"
            },
            "synonyms": [
                {
                    "id": "DOID:4159",
                    "name": "CA - skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "malignant neoplasm of skin",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                },
                {
                    "id": "DOID:4159",
                    "name": "melanoma and Non-melanoma skin cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_4159"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "K051824",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K051824",
                "evidence_list": [
                    {
                        "evidence": "The Invader UGT1A1 Molecular Assay is an in vitro diagnostic test for the detection and genotyping of the *1 (TA6) and *28 (TA7) alleles of the UDP glucuronosyltransferase 1A1 (UGT1A1) gene in genomic DNA from whole peripheral blood as an aid in the identification of patients with greater risk for decreased UDP-glucuronosyltransferase activity."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4320",
        "collision": 1
    },
    {
        "biomarker_id": "AN4216-3",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "THERASCREEN breast cancer PIK3CA exonic mutations panel",
                    "synonyms": [
                        {
                            "synonym": "PI3-kinase subunit alpha"
                        },
                        {
                            "synonym": "PI3K-alpha"
                        },
                        {
                            "synonym": "PI3Kalpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit alpha"
                        },
                        {
                            "synonym": "Phosphatidylinositol 4,5-bisphosphate 3-kinase 110 kDa catalytic subunit alpha"
                        },
                        {
                            "synonym": "PtdIns-3-kinase subunit p110-alpha"
                        },
                        {
                            "synonym": "p110alpha"
                        },
                        {
                            "synonym": "Phosphoinositide 3-kinase alpha"
                        },
                        {
                            "synonym": "Phosphoinositide-3-kinase catalytic alpha polypeptide"
                        },
                        {
                            "synonym": "Serine/threonine protein kinase PIK3CA"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P42336",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "breast",
                        "id": "UBERON:0000310",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000310",
                        "loinc_code": "60034-6"
                    },
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "60034-6"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P190001",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P190001",
                        "evidence_list": [
                            {
                                "evidence": "Therascreen PIK3CA RGQ PCR Kit is a real-time qualitative PCR test for the detection of 11 mutations in the PIK3CA gene (Exon 7: C420R; Exon 9: E542K, E545A, E545D [1635G>T only], E545G, E545K, Q546E, Q546R; and Exon 20: H1047L, H1047R, H1047Y) using genomic DNA (gDNA) extracted from formalin-fixed, paraffin-embedded (FFPE) breast tumor tissue or circulating tumor DNA (ctDNA) from plasma derived from K2EDTA anticoagulated peripheral whole blood ... The test is intended to aid clinicians in identifying breast cancer patients who may be eligible for treatment with PIQRAY (alpelisib) based on a PIK3CA Mutation Detected result."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
            "id": "DOID:1612",
            "recommended_name": {
                "id": "DOID:1612",
                "name": "breast cancer",
                "description": "A thoracic cancer that originates in the mammary gland.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_1612"
            },
            "synonyms": [
                {
                    "id": "DOID:1612",
                    "name": "malignant tumor of the breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "P190001",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P190001",
                "evidence_list": [
                    {
                        "evidence": "Therascreen PIK3CA RGQ PCR Kit is a real-time qualitative PCR test for the detection of 11 mutations in the PIK3CA gene (Exon 7: C420R; Exon 9: E542K, E545A, E545D [1635G>T only], E545G, E545K, Q546E, Q546R; and Exon 20: H1047L, H1047R, H1047Y) using genomic DNA (gDNA) extracted from formalin-fixed, paraffin-embedded (FFPE) breast tumor tissue or circulating tumor DNA (ctDNA) from plasma derived from K2EDTA anticoagulated peripheral whole blood ... The test is intended to aid clinicians in identifying breast cancer patients who may be eligible for treatment with PIQRAY (alpelisib) based on a PIK3CA Mutation Detected result."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4216",
        "collision": 1
    },
    {
        "biomarker_id": "AN4321-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "23andMe colorectal cancer MUTYH mutations panel",
                    "synonyms": [
                        {
                            "synonym": "MutY homolog"
                        },
                        {
                            "synonym": "hMYH"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UIF7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "saliva",
                        "id": "UBERON:0001836",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001836",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "K182784",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K182784",
                        "evidence_list": [
                            {
                                "evidence": "The 23andMe PGS Genetic Health Risk Report for MUTYH Associated Polyposis is indicated for reporting of the Y179C and the G396D variants in the MUTYH gene. The report describes if a person is at increased risk of developing colorectal cancer."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "risk"
            }
        ],
        "condition": {
            "id": "DOID:9256",
            "recommended_name": {
                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9256"
            },
            "synonyms": []
        },
        "evidence_source": [
            {
                "id": "K182784",
                "database": "Ftcid",
                "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=K182784",
                "evidence_list": [
                    {
                        "evidence": "The 23andMe PGS Genetic Health Risk Report for MUTYH Associated Polyposis is indicated for reporting of the Y179C and the G396D variants in the MUTYH gene. The report describes if a person is at increased risk of developing colorectal cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [],
        "biomarker_canonical_id": "AN4321",
        "collision": 1
    },
    {
        "biomarker_id": "AN4243-1",
        "biomarker_component": [
            {
                "biomarker": "presence of",
                "assessed_biomarker_entity": {
                    "recommended_name": "Vysis lung cancer ALK gene rearrangements panel",
                    "synonyms": [
                        {
                            "synonym": "Anaplastic lymphoma kinase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UM73",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "lung",
                        "id": "UBERON:0002048",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0002048",
                        "loinc_code": "78205-2"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "P110012",
                        "database": "Ftcid",
                        "url": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P110012",
                        "evidence_list": [
                            {
                                "evidence": "The Vysis ALK Break Apart FISH Probe Kit is a qualitative test to detect rearrangements involving the ALK gene via fluorescence in situ hybridization (FISH) in formalin-fixed paraffin-embedded (FFPE) non- small cell lung cancer (NSCLC) tissue specimens ... The test is for prescription use only."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
            }
        ],
        "condition": {
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                {
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                    "name": "primary breast cancer",
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                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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        "evidence_source": [
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                ],
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        ],
        "citation": [],
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    {
        "biomarker_id": "AA5014-1",
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            {
                "biomarker": "increased sTRA level",
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                        "id": "33093149",
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                            {
                                "evidence": "Furthermore, a blood-plasma test for the sTRA glycan identified the PDACs that showed rapid relapse following neoadjuvant chemotherapy. This research demonstrates the use of the sTRA glycan to identify the PDAC cases that are highly resistant to chemotherapy."
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                ]
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        ],
        "best_biomarker_role": [
            {
                "role": "predictive"
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        ],
        "condition": {
            "id": "DOID:1793",
            "recommended_name": {
                "id": "DOID:1793",
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                "description": "An endocrine gland cancer located_in the pancreas.",
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                {
                    "id": "DOID:1793",
                    "name": "Ca head of pancreas",
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                },
                {
                    "id": "DOID:1793",
                    "name": "Ca body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of head of pancreas",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:1793",
                    "name": "pancreatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "Ca tail of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "pancreas neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                },
                {
                    "id": "DOID:1793",
                    "name": "malignant neoplasm of body of pancreas",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1793"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "33093149",
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                "evidence_list": [
                    {
                        "evidence": "Furthermore, a blood-plasma test for the sTRA glycan identified the PDACs that showed rapid relapse following neoadjuvant chemotherapy. This research demonstrates the use of the sTRA glycan to identify the PDAC cases that are highly resistant to chemotherapy."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "Detection of Chemotherapy-resistant Pancreatic Cancer Using a Glycan Biomarker, sTRA.",
                "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research",
                "authors": "Gao C, Wisniewski L, Liu Y, Staal B, Beddows I, Plenker D, Aldakkak M, Hall J, Barnett D, Gouda MK, Allen P, Drake R, Zureikat A, Huang Y, Evans D, Singhi A, Brand RE, Tuveson DA, Tsai S, Haab BB",
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        "biomarker_id": "AN4322-1",
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                "biomarker": "increased trisialylated triantennary core fucosylated N-glycan level",
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                            {
                                "evidence": "From these representative chromatograms, it appears that the biantennary-monosialylated N-linked glycan is down-regulated in Stage IV breast cancer, while the fucosylated triantennary-trisialylated N-linked glycan appears to be up-regulated under such a condition. A biantennary-monosialylated N-linked glycan and a fucosylated triantennary-trisialylated structure were implicated as potential indicators of late-stage breast cancer."
                            }
                        ],
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                                "tag": "biomarker"
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                "description": "A thoracic cancer that originates in the mammary gland.",
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                },
                {
                    "id": "DOID:1612",
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                {
                    "id": "DOID:1612",
                    "name": "mammary cancer",
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                {
                    "id": "DOID:1612",
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                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
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                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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            ]
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        "evidence_source": [
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                        "evidence": "From these representative chromatograms, it appears that the biantennary-monosialylated N-linked glycan is down-regulated in Stage IV breast cancer, while the fucosylated triantennary-trisialylated N-linked glycan appears to be up-regulated under such a condition. A biantennary-monosialylated N-linked glycan and a fucosylated triantennary-trisialylated structure were implicated as potential indicators of late-stage breast cancer."
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                ],
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        ],
        "citation": [
            {
                "title": "Chip-based reversed-phase liquid chromatography-mass spectrometry of permethylated N-linked glycans: a potential methodology for cancer-biomarker discovery.",
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    {
        "biomarker_id": "AN4323-1",
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            {
                "biomarker": "decreased monosialylated biantennary N-glycan level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Monosialylated biantennary N-glycan",
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                },
                "assessed_biomarker_entity_id": "GTC:G73813HX",
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                            {
                                "evidence": "From these representative chromatograms, it appears that the biantennary-monosialylated N-linked glycan is down-regulated in Stage IV breast cancer, while the fucosylated triantennary-trisialylated N-linked glycan appears to be up-regulated under such a condition. A biantennary-monosialylated N-linked glycan and a fucosylated triantennary-trisialylated structure were implicated as potential indicators of late-stage breast cancer."
                            }
                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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        ],
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            "synonyms": [
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                {
                    "id": "DOID:1612",
                    "name": "breast tumor",
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                },
                {
                    "id": "DOID:1612",
                    "name": "primary breast cancer",
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                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "20491449",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/20491449",
                "evidence_list": [
                    {
                        "evidence": "From these representative chromatograms, it appears that the biantennary-monosialylated N-linked glycan is down-regulated in Stage IV breast cancer, while the fucosylated triantennary-trisialylated N-linked glycan appears to be up-regulated under such a condition. A biantennary-monosialylated N-linked glycan and a fucosylated triantennary-trisialylated structure were implicated as potential indicators of late-stage breast cancer."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
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        ],
        "citation": [
            {
                "title": "Chip-based reversed-phase liquid chromatography-mass spectrometry of permethylated N-linked glycans: a potential methodology for cancer-biomarker discovery.",
                "journal": "Analytical chemistry",
                "authors": "Alley WR, Madera M, Mechref Y, Novotny MV",
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                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4323",
        "collision": 1
    },
    {
        "biomarker_id": "AN4469-1",
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            {
                "biomarker": "increased LRG-FTG level",
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                    "recommended_name": "Lewis fucosylated triantennary N-glycan on leucine-rich alpha-2-glycoprotein-1",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "GTC:G33187NK",
                "assessed_entity_type": "glycan",
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                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
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                    }
                ],
                "evidence_source": [
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                        "id": "29642865",
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                        "evidence_list": [
                            {
                                "evidence": "Leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan (LRG-FTG) was identified as CRC marker after evaluating 30,000 candidate glycopeptide peaks. Serum LRG-FTG was significantly elevated in CRC patients compared with healthy volunteers, and its accuracy as a CRC tumor marker was equal to that of CEA. LRG with biantennary glycan did not change between CRC patients and healthy individuals, which meant that the sugar chain alteration in LRG was key to cancer diagnosis. The elution time (33 min) and m/z (1975.37, z4) of this marker was just coincident with leucine-rich alpha-2-glycoprotein-1, whose Asn79 was modified with fucosylated triantennary N-glycan (LRG-FTG)."
                            }
                        ],
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                                "tag": "biomarker"
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                            {
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                ]
            },
            {
                "biomarker": "increased LRG-FTG level",
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                            "synonym": "LRG"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P02750",
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                        "id": "29642865",
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                            {
                                "evidence": "Leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan (LRG-FTG) was identified as CRC marker after evaluating 30,000 candidate glycopeptide peaks. Serum LRG-FTG was significantly elevated in CRC patients compared with healthy volunteers, and its accuracy as a CRC tumor marker was equal to that of CEA. LRG with biantennary glycan did not change between CRC patients and healthy individuals, which meant that the sugar chain alteration in LRG was key to cancer diagnosis. The elution time (33 min) and m/z (1975.37, z4) of this marker was just coincident with leucine-rich alpha-2-glycoprotein-1, whose Asn79 was modified with fucosylated triantennary N-glycan (LRG-FTG)."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
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                            {
                                "tag": "assessed_entity_type"
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                "role": "diagnostic"
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                "id": "DOID:9256",
                "name": "colorectal cancer",
                "description": "A large intestine cancer that is located_in the colon and/or located_in the rectum.",
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            {
                "id": "29642865",
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                "evidence_list": [
                    {
                        "evidence": "Leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan (LRG-FTG) was identified as CRC marker after evaluating 30,000 candidate glycopeptide peaks. Serum LRG-FTG was significantly elevated in CRC patients compared with healthy volunteers, and its accuracy as a CRC tumor marker was equal to that of CEA. LRG with biantennary glycan did not change between CRC patients and healthy individuals, which meant that the sugar chain alteration in LRG was key to cancer diagnosis. The elution time (33 min) and m/z (1975.37, z4) of this marker was just coincident with leucine-rich alpha-2-glycoprotein-1, whose Asn79 was modified with fucosylated triantennary N-glycan (LRG-FTG)."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Serum leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan: a novel colorectal cancer marker.",
                "journal": "BMC cancer",
                "authors": "Shinozaki E, Tanabe K, Akiyoshi T, Tsuchida T, Miyazaki Y, Kojima N, Igarashi M, Ueno M, Suenaga M, Mizunuma N, Yamaguchi K, Nakayama K, Iijima S, Yamaguchi T",
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                ]
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            {
                "title": "Serum leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan: a novel colorectal cancer marker.",
                "journal": "BMC cancer",
                "authors": "Shinozaki E, Tanabe K, Akiyoshi T, Tsuchida T, Miyazaki Y, Kojima N, Igarashi M, Ueno M, Suenaga M, Mizunuma N, Yamaguchi K, Nakayama K, Iijima S, Yamaguchi T",
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        "collision": 0
    },
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            {
                "biomarker": "increased A3FG1 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lewis x fucosylated monogalactosylated triantennary N-glycan",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "GTC:G36521AS",
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                            {
                                "evidence": "Following digestion with sialidase and beta-galactosidase, the alpha1,3-fucosylated trisialylated triantennary structure (A3FG3S3, GU 10.75) digested to form the alpha1,3-fucosylated monogalactosylated triantennary structure (A3FG1). We observed a significant difference in the trends of both A3FG1 and CA 15-3 in all 10 patients. Interestingly, we found that A3FG1 increased in all the second samples, clearly consistent with breast cancer progression and/or metastasis. This preliminary result suggests that compared to the commonly measured CA 15-3 and CEA, the glycan marker A3FG1, quantified from whole serum of breast cancer patients, could be more reliable for detecting disease progression and metastasis."
                            }
                        ],
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                                "tag": "biomarker"
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                {
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                        "evidence": "Following digestion with sialidase and beta-galactosidase, the alpha1,3-fucosylated trisialylated triantennary structure (A3FG3S3, GU 10.75) digested to form the alpha1,3-fucosylated monogalactosylated triantennary structure (A3FG1). We observed a significant difference in the trends of both A3FG1 and CA 15-3 in all 10 patients. Interestingly, we found that A3FG1 increased in all the second samples, clearly consistent with breast cancer progression and/or metastasis. This preliminary result suggests that compared to the commonly measured CA 15-3 and CEA, the glycan marker A3FG1, quantified from whole serum of breast cancer patients, could be more reliable for detecting disease progression and metastasis."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "A strategy to reveal potential glycan markers from serum glycoproteins associated with breast cancer progression.",
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                "evidence": [],
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                    {
                        "id": "18818422",
                        "type": "Pubmed",
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        ],
        "biomarker_canonical_id": "AA5015",
        "collision": 1
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    {
        "biomarker_id": "AN4325-1",
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            {
                "biomarker": "increased GalNAc level",
                "assessed_biomarker_entity": {
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                    "synonyms": []
                },
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                    {
                        "name": "brain",
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                                "evidence": "Fluorescently labeled lectins that specifically recognize \u03b1-N-acetylgalactosamine (GalNAc) and \u03b1-N-acetylglucosamine (GlcNAc) differentially bound to the cell surface based on the state of cellular differentiation. GalNAc and GlcNAc were highly expressed on the surface of undifferentiated cells and showed markedly reduced expression over a 12-day duration of differentiation. Our preliminary results on a single cerebellar GBM suggest that GalNAc and GlcNAc are novel biomarkers for identifying glioma-derived stem cells and can be used to isolate cancer stem cells from unsorted cell populations, thereby creating new cell lines for research or clinical testing."
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                        ],
                        "tags": [
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                                "tag": "biomarker"
                            },
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                {
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                {
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                {
                    "id": "DOID:1319",
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                        "evidence": "Fluorescently labeled lectins that specifically recognize \u03b1-N-acetylgalactosamine (GalNAc) and \u03b1-N-acetylglucosamine (GlcNAc) differentially bound to the cell surface based on the state of cellular differentiation. GalNAc and GlcNAc were highly expressed on the surface of undifferentiated cells and showed markedly reduced expression over a 12-day duration of differentiation. Our preliminary results on a single cerebellar GBM suggest that GalNAc and GlcNAc are novel biomarkers for identifying glioma-derived stem cells and can be used to isolate cancer stem cells from unsorted cell populations, thereby creating new cell lines for research or clinical testing."
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                "title": "Lectins identify glycan biomarkers on glioblastoma-derived cancer stem cells.",
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                "biomarker": "increased GlcNAc level",
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                                "evidence": "Fluorescently labeled lectins that specifically recognize \u03b1-N-acetylgalactosamine (GalNAc) and \u03b1-N-acetylglucosamine (GlcNAc) differentially bound to the cell surface based on the state of cellular differentiation. GalNAc and GlcNAc were highly expressed on the surface of undifferentiated cells and showed markedly reduced expression over a 12-day duration of differentiation. Our preliminary results on a single cerebellar GBM suggest that GalNAc and GlcNAc are novel biomarkers for identifying glioma-derived stem cells and can be used to isolate cancer stem cells from unsorted cell populations, thereby creating new cell lines for research or clinical testing."
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                        ],
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                {
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                {
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                {
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                },
                {
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                {
                    "id": "DOID:1319",
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                {
                    "id": "DOID:1319",
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                    }
                ],
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        ],
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            {
                "title": "Lectins identify glycan biomarkers on glioblastoma-derived cancer stem cells.",
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                "authors": "Tucker-Burden C, Chappa P, Krishnamoorthy M, Gerwe BA, Scharer CD, Heimburg-Molinaro J, Harris W, Usta SN, Eilertson CD, Hadjipanayis CG, Stice SL, Brat DJ, Nash RJ",
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                    }
                ]
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        ],
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    },
    {
        "biomarker_id": "AN4470-1",
        "biomarker_component": [
            {
                "biomarker": "increased FA2 and SLex level, Sialyl Lewis x level",
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                    "recommended_name": "Agalactosylated biantennary core fucosylated N-glycan  and Sialyl Lewis x",
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                        ],
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                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                ],
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                    {
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        ],
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            {
                "title": "Ovarian cancer is associated with changes in glycosylation in both acute-phase proteins and IgG.",
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                ]
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            {
                "title": "Ovarian cancer is associated with changes in glycosylation in both acute-phase proteins and IgG.",
                "journal": "Glycobiology",
                "authors": "Saldova R, Royle L, Radcliffe CM, Abd Hamid UM, Evans R, Arnold JN, Banks RE, Hutson R, Harvey DJ, Antrobus R, Petrescu SM, Dwek RA, Rudd PM",
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                                "evidence": "S-HPX, a measure of sialylated O-glycoforms of hemopexin, progressively increases in fibrotic and cirrhotic patient of HCV etiology and can be quantified by an LC-MS/MS-MRM assay in unfractionated serum of patients. Quantification of sialylated O-glycoforms of this liver secreted glycoprotein represents a novel measure of the stage of liver disease that could have a role in monitoring the progression of liver pathology. The ratio of disialylated (NeuAc2Hex1HexNAc1) to monosialylated (NeuAc1Hex1HexNAc1) glycoforms of the peptide TPLPPTSAHGNVAEGETKPDPVTER of HPX carrying one O-glycan on the T1 (S-HPX) was used as a final quantitative measure for evaluation of liver disease. The results show an approximately fourfold increase in disialylated O-glycopeptide of HPX in cirrhosis and further increase in the cirrhotics with HCC with a simultaneous approximately 20 % decrease in the monosialylated O-glycopeptide of HPX."
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        "best_biomarker_role": [
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        "condition": {
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            "recommended_name": {
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                {
                    "id": "DOID:3571",
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                    "id": "DOID:3571",
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                {
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                {
                    "id": "DOID:3571",
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        "citation": [
            {
                "title": "Increased sialylation of site specific O-glycoforms of hemopexin in liver disease.",
                "journal": "Clinical proteomics",
                "authors": "Sanda M, Benicky J, Wu J, Wang Y, Makambi K, Ahn J, Smith CI, Zhao P, Zhang L, Goldman R",
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            {
                "title": "Increased sialylation of site specific O-glycoforms of hemopexin in liver disease.",
                "journal": "Clinical proteomics",
                "authors": "Sanda M, Benicky J, Wu J, Wang Y, Makambi K, Ahn J, Smith CI, Zhao P, Zhang L, Goldman R",
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            {
                "title": "Increased sialylation of site specific O-glycoforms of hemopexin in liver disease.",
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                                "evidence": "ALKBH5 was significantly reduced in RCC compared to normal tissue (P < 0.001), low expression levels of ALKBH5 and FTO were correlated with a shorter overall survival (OS: ALKBH5 log-rank P = 0.007; FTO log-rank P = 0.033) and cancer-specific survival (CSS: ALKBH5 log-rank P = 0.018; FTO log-rank P = 0.029"
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                ],
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                "id": "34683137",
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                        "evidence": ". Univariate analysis showed that higher FTO expression was associated with better overall and progression free survival in both ccRCC and pRCC patients. No associations were disclosed concerning ALKBH5 expressions levels."
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        ],
        "citation": [
            {
                "title": "The N",
                "journal": "BJU international",
                "authors": "Strick A, von Hagen F, Gundert L, Kl\u00fcmper N, Tolkach Y, Schmidt D, Kristiansen G, Toma M, Ritter M, Ellinger J",
                "date": "2020-01-28",
                "evidence": [],
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                        "type": "Pubmed",
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                "journal": "Journal of personalized medicine",
                "authors": "Guimar\u00e3es-Teixeira C, Barros-Silva D, Lobo J, Soares-Fernandes D, Const\u00e2ncio V, Leite-Silva P, Silva-Santos R, Braga I, Henrique R, Miranda-Gon\u00e7alves V, Jer\u00f3nimo C",
                "date": "2021-10-24",
                "evidence": [],
                "reference": [
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                        "id": "34683137",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/34683137"
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                ]
            }
        ],
        "biomarker_canonical_id": "AA5016",
        "collision": 1
    },
    {
        "biomarker_id": "AA5017-1",
        "biomarker_component": [
            {
                "biomarker": "decreased FTO level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Alpha-ketoglutarate-dependent dioxygenase",
                    "synonyms": [
                        {
                            "synonym": "Fat mass and obesity-associated protein"
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                        {
                            "synonym": "U6 small nuclear RNA (2'-O-methyladenosine-N(6)-)-demethylase FTO"
                        },
                        {
                            "synonym": "U6 small nuclear RNA N(6)-methyladenosine-demethylase FTO"
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                        {
                            "synonym": "mRNA (2'-O-methyladenosine-N(6)-)-demethylase FTO"
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                        {
                            "synonym": "m6A(m)-demethylase FTO"
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                        {
                            "synonym": "mRNA N(6)-methyladenosine demethylase FTO"
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                        {
                            "synonym": "tRNA N1-methyl adenine demethylase FTO"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q9C0B1",
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                        "name": "kidney",
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                        "name_space": "Uberon",
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                "evidence_source": [
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                        "url": "https://pubmed.ncbi.nlm.nih.gov/31985880",
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                            {
                                "evidence": "ALKBH5 was significantly reduced in RCC compared to normal tissue (P < 0.001), low expression levels of ALKBH5 and FTO were correlated with a shorter overall survival (OS: ALKBH5 log-rank P = 0.007; FTO log-rank P = 0.033) and cancer-specific survival (CSS: ALKBH5 log-rank P = 0.018; FTO log-rank P = 0.029"
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
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                                "tag": "assessed_biomarker_entity_id"
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                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/34683137",
                        "evidence_list": [
                            {
                                "evidence": ". Univariate analysis showed that higher FTO expression was associated with better overall and progression free survival in both ccRCC and pRCC patients. No associations were disclosed concerning ALKBH5 expressions levels."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
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        "best_biomarker_role": [
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        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
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            "synonyms": [
                {
                    "id": "DOID:263",
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                {
                    "id": "DOID:263",
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                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
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        "evidence_source": [
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                    {
                        "evidence": "ALKBH5 was significantly reduced in RCC compared to normal tissue (P < 0.001), low expression levels of ALKBH5 and FTO were correlated with a shorter overall survival (OS: ALKBH5 log-rank P = 0.007; FTO log-rank P = 0.033) and cancer-specific survival (CSS: ALKBH5 log-rank P = 0.018; FTO log-rank P = 0.029"
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "34683137",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/34683137",
                "evidence_list": [
                    {
                        "evidence": ". Univariate analysis showed that higher FTO expression was associated with better overall and progression free survival in both ccRCC and pRCC patients. No associations were disclosed concerning ALKBH5 expressions levels."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "The N",
                "journal": "BJU international",
                "authors": "Strick A, von Hagen F, Gundert L, Kl\u00fcmper N, Tolkach Y, Schmidt D, Kristiansen G, Toma M, Ritter M, Ellinger J",
                "date": "2020-01-28",
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                    {
                        "id": "31985880",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31985880"
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                ]
            },
            {
                "title": "Deregulation of N6-Methyladenosine RNA Modification and Its Erasers FTO/ALKBH5 among the Main Renal Cell Tumor Subtypes.",
                "journal": "Journal of personalized medicine",
                "authors": "Guimar\u00e3es-Teixeira C, Barros-Silva D, Lobo J, Soares-Fernandes D, Const\u00e2ncio V, Leite-Silva P, Silva-Santos R, Braga I, Henrique R, Miranda-Gon\u00e7alves V, Jer\u00f3nimo C",
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                        "id": "34683137",
                        "type": "Pubmed",
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                ]
            }
        ],
        "biomarker_canonical_id": "AA5017",
        "collision": 1
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    {
        "biomarker_id": "AA5018-1",
        "biomarker_component": [
            {
                "biomarker": "differentially measured MIR-576 level",
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                },
                "assessed_biomarker_entity_id": "MRB:MI0003583",
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                    {
                        "name": "kidney",
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                ],
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                    {
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
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                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
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                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
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                    {
                        "evidence": "Thirteen miRNAs that were significantly differentially expressed in RCC patients were identified, 10 of them have been proved to be associated with kidney cancer in other studies, miR-576, miR-616 and miR-133a-2 are three newly discovered biomarkers of RCC in this study. We found that the target genes of miR-576 (CUL3 and RAC1) are involved in the regulation of multiple cancer-related biological pathways, and the target gene of miR-616 (ASB13 and FBXW2) has been reported to be associated with the development of other cancers. Our findings may have guiding significance for the early diagnosis of renal cell carcinoma."
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        "citation": [
            {
                "title": "Computational identification and analysis of early diagnostic biomarkers for kidney cancer.",
                "journal": "Journal of human genetics",
                "authors": "Tang T, Du X, Zhang X, Niu W, Li C, Tan J",
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                                "evidence": "Thirteen miRNAs that were significantly differentially expressed in RCC patients were identified, 10 of them have been proved to be associated with kidney cancer in other studies, miR-576, miR-616 and miR-133a-2 are three newly discovered biomarkers of RCC in this study. We found that the target genes of miR-576 (CUL3 and RAC1) are involved in the regulation of multiple cancer-related biological pathways, and the target gene of miR-616 (ASB13 and FBXW2) has been reported to be associated with the development of other cancers. Our findings may have guiding significance for the early diagnosis of renal cell carcinoma."
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                                "tag": "biomarker"
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                {
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                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
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                {
                    "id": "DOID:263",
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                    {
                        "evidence": "Thirteen miRNAs that were significantly differentially expressed in RCC patients were identified, 10 of them have been proved to be associated with kidney cancer in other studies, miR-576, miR-616 and miR-133a-2 are three newly discovered biomarkers of RCC in this study. We found that the target genes of miR-576 (CUL3 and RAC1) are involved in the regulation of multiple cancer-related biological pathways, and the target gene of miR-616 (ASB13 and FBXW2) has been reported to be associated with the development of other cancers. Our findings may have guiding significance for the early diagnosis of renal cell carcinoma."
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                ],
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        ],
        "citation": [
            {
                "title": "Computational identification and analysis of early diagnostic biomarkers for kidney cancer.",
                "journal": "Journal of human genetics",
                "authors": "Tang T, Du X, Zhang X, Niu W, Li C, Tan J",
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        "biomarker_canonical_id": "AA5019",
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                "biomarker": "increased P4HB level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Prolyl 4-hydroxylase, beta polypeptide",
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                            "synonym": "PDI"
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                                "evidence": "High expression of P4HB mRNA was related to significantly worse Overall Survival (OS) for KIRC patients (Kidney renal cell carcinoma) (p<0.0001). Univariate Cox regression analyses, showed higher stage and high P4HB mRNA expression exhibited unfavorable effects on OS (p<0.0001 and p<0.0001)."
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        "citation": [
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                "title": "Computational identification and analysis of early diagnostic biomarkers for kidney cancer.",
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        ],
        "citation": [
            {
                "title": "Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer.",
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                "biomarker": "differentially measured gentisate level",
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                                "evidence": "Quinolinate, 4-hydroxybenzoate, and gentisate were significantly differentially expressed between the two groups at an FDR (False Discovery Rate) of 0.26, 4-hydroxybenzoate and gentisate being decreased in cancer patients urine compared to normal patients' urine."
                            }
                        ],
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                            {
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                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:263",
            "recommended_name": {
                "id": "DOID:263",
                "name": "kidney cancer",
                "description": "A urinary system cancer that is located_in the kidney.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_263"
            },
            "synonyms": [
                {
                    "id": "DOID:263",
                    "name": "malignant tumour of kidney",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "malignant neoplasm of kidney except pelvis",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                },
                {
                    "id": "DOID:263",
                    "name": "renal cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_263"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "21348635",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/21348635",
                "evidence_list": [
                    {
                        "evidence": "Quinolinate, 4-hydroxybenzoate, and gentisate were significantly differentially expressed between the two groups at an FDR (False Discovery Rate) of 0.26, 4-hydroxybenzoate and gentisate being decreased in cancer patients urine compared to normal patients' urine."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer.",
                "journal": "Omics : a journal of integrative biology",
                "authors": "Kim K, Taylor SL, Ganti S, Guo L, Osier MV, Weiss RH",
                "date": "2011-02-26",
                "evidence": [],
                "reference": [
                    {
                        "id": "21348635",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21348635"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4333",
        "collision": 1
    },
    {
        "biomarker_id": "AA5023-1",
        "biomarker_component": [
            {
                "biomarker": "increased IL1B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-1 beta protein",
                    "synonyms": [
                        {
                            "synonym": "IL-1 beta"
                        },
                        {
                            "synonym": "Catabolin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01584",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "13629-1"
                    },
                    {
                        "name": "blood serum",
                        "id": "UBERON:0001977",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001977",
                        "loinc_code": "13629-1"
                    },
                    {
                        "name": "blood plasma",
                        "id": "UBERON:0001969",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001969",
                        "loinc_code": "13629-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "32511562",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511562",
                        "evidence_list": [
                            {
                                "evidence": "COVID-19 is associated with high levels of IL-6, TNF-a, IL-1b, and CXCL8/IL-8. IL-6 was one of the most robust prognostic markers of survival. It remained independently associated with severity and predictive of outcome. Furthermore, elevated TNF-a, known to contribute to organ damage, was also a strong predictor of poor outcome."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    },
                    {
                        "id": "31986264",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31986264",
                        "evidence_list": [
                            {
                                "evidence": "We noted that patients infected with 2019-nCoV also had high amounts of IL1B, IFN gamma, IP10, and MCP1, probably leading to activated T-helper-1 (Th1) cell responses. Initial plasma IL1B concentrations were higher in both ICU patients and non-ICU patients than in healthy adults."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            },
            {
                "role": "prognostic"
            }
        ],
        "condition": {
            "id": "DOID:0080600",
            "recommended_name": {
                "id": "DOID:0080600",
                "name": "COVID-19",
                "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_0080600"
            },
            "synonyms": [
                {
                    "id": "DOID:0080600",
                    "name": "SARS-CoV-2 infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan coronavirus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "COVID19",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "Wuhan seafood market pneumonia virus infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019-nCoV infection",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                },
                {
                    "id": "DOID:0080600",
                    "name": "2019 Novel Coronavirus (2019-nCoV)",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_0080600"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "32511562",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/32511562",
                "evidence_list": [
                    {
                        "evidence": "COVID-19 is associated with high levels of IL-6, TNF-a, IL-1b, and CXCL8/IL-8. IL-6 was one of the most robust prognostic markers of survival. It remained independently associated with severity and predictive of outcome. Furthermore, elevated TNF-a, known to contribute to organ damage, was also a strong predictor of poor outcome."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            },
            {
                "id": "31986264",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/31986264",
                "evidence_list": [
                    {
                        "evidence": "We noted that patients infected with 2019-nCoV also had high amounts of IL1B, IFN gamma, IP10, and MCP1, probably leading to activated T-helper-1 (Th1) cell responses. Initial plasma IL1B concentrations were higher in both ICU patients and non-ICU patients than in healthy adults."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "An inflammatory cytokine signature helps predict COVID-19 severity and death.",
                "journal": "medRxiv : the preprint server for health sciences",
                "authors": "Del Valle DM, Kim-Schulze S, Hsin-Hui H, Beckmann ND, Nirenberg S, Wang B, Lavin Y, Swartz T, Madduri D, Stock A, Marron T, Xie H, Patel MK, van Oekelen O, Rahman A, Kovatch P, Aberg J, Schadt E, Jagannath S, Mazumdar M, Charney A, Firpo-Betancourt A, Mendu DR, Jhang J, Reich D, Sigel K, Cordon-Cardo C, Feldmann M, Parekh S, Merad M, Gnjatic S",
                "date": "2020-06-09",
                "evidence": [],
                "reference": [
                    {
                        "id": "32511562",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/32511562"
                    }
                ]
            },
            {
                "title": "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.",
                "journal": "Lancet (London, England)",
                "authors": "Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B",
                "date": "2020-01-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "31986264",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/31986264"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA5023",
        "collision": 1
    },
    {
        "biomarker_id": "AA5023-2",
        "biomarker_component": [
            {
                "biomarker": "increased IL1B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-1 beta protein",
                    "synonyms": [
                        {
                            "synonym": "IL-1 beta"
                        },
                        {
                            "synonym": "Catabolin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01584",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "saliva",
                        "id": "UBERON:0001836",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0001836",
                        "loinc_code": "13629-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "21109482",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21109482",
                        "evidence_list": [
                            {
                                "evidence": "IL1B protein and IL8 protein as well as S100P mRNA were increased the most between all OSCC patients and controls with a fold change of 3.96, 3.09, and 3.24 respectively. Combined markers proved to be the strongest discriminator of OSCC with an AUC of 0.86 for all cancer patients (IL1B protein + SAT1 mRNA + DUSP1 mRNA), 0.85 for T1-T2 (IL1B mRNA + SAT1 mRNA + DUSP1 mRNA), and 0.88 for T3-T4 (IL1B protein + DUSP1 mRNA) (Figure 1\u00a0and\u00a0Table 3). The sensitivity/specificity for these groups were 0.89/0.78, 0.67/0.96, and 0.82/0.84 respectively."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "diagnostic"
            }
        ],
        "condition": {
            "id": "DOID:11934",
            "recommended_name": {
                "id": "DOID:11934",
                "name": "head and neck cancer",
                "description": "An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_11934"
            },
            "synonyms": [
                {
                    "id": "DOID:11934",
                    "name": "head and neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head/neck neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "head and neck tumours",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                },
                {
                    "id": "DOID:11934",
                    "name": "tumor of head and neck",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_11934"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "21109482",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/21109482",
                "evidence_list": [
                    {
                        "evidence": "IL1B protein and IL8 protein as well as S100P mRNA were increased the most between all OSCC patients and controls with a fold change of 3.96, 3.09, and 3.24 respectively. Combined markers proved to be the strongest discriminator of OSCC with an AUC of 0.86 for all cancer patients (IL1B protein + SAT1 mRNA + DUSP1 mRNA), 0.85 for T1-T2 (IL1B mRNA + SAT1 mRNA + DUSP1 mRNA), and 0.88 for T3-T4 (IL1B protein + DUSP1 mRNA) (Figure 1\u00a0and\u00a0Table 3). The sensitivity/specificity for these groups were 0.89/0.78, 0.67/0.96, and 0.82/0.84 respectively."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Oral squamous cell carcinoma detection by salivary biomarkers in a Serbian population.",
                "journal": "Oral oncology",
                "authors": "Brinkmann O, Kastratovic DA, Dimitrijevic MV, Konstantinovic VS, Jelovac DB, Antic J, Nesic VS, Markovic SZ, Martinovic ZR, Akin D, Spielmann N, Zhou H, Wong DT",
                "date": "2010-11-27",
                "evidence": [],
                "reference": [
                    {
                        "id": "21109482",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/21109482"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AA5023",
        "collision": 1
    },
    {
        "biomarker_id": "AN4334-1",
        "biomarker_component": [
            {
                "biomarker": "decreased IL1B level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interleukin-1 beta protein",
                    "synonyms": [
                        {
                            "synonym": "IL-1 beta"
                        },
                        {
                            "synonym": "Catabolin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01584",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "13629-1"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "17595242",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17595242",
                        "evidence_list": [
                            {
                                "evidence": "Changes in expression of IL1B, early growth response gene 3, and prostaglandin-endoperoxide synthase 2 resolved within 4 months of insulin therapy and were also observed in T2D, suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81 of 282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            }
        ],
        "best_biomarker_role": [
            {
                "role": "monitoring"
            }
        ],
        "condition": {
            "id": "DOID:9351",
            "recommended_name": {
                "id": "DOID:9351",
                "name": "diabetes mellitus",
                "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.",
                "resource": "Disease Ontology",
                "url": "http://purl.obolibrary.org/obo/DOID_9351"
            },
            "synonyms": [
                {
                    "id": "DOID:9351",
                    "name": "diabetes",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_9351"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "17595242",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/17595242",
                "evidence_list": [
                    {
                        "evidence": "Changes in expression of IL1B, early growth response gene 3, and prostaglandin-endoperoxide synthase 2 resolved within 4 months of insulin therapy and were also observed in T2D, suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81 of 282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Gene expression in peripheral blood mononuclear cells from children with diabetes.",
                "journal": "The Journal of clinical endocrinology and metabolism",
                "authors": "Kaizer EC, Glaser CL, Chaussabel D, Banchereau J, Pascual V, White PC",
                "date": "2007-06-28",
                "evidence": [],
                "reference": [
                    {
                        "id": "17595242",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/17595242"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4334",
        "collision": 1
    },
    {
        "biomarker_id": "AN4472-1",
        "biomarker_component": [
            {
                "biomarker": "increased IFNG, CD274, LAG3, CXCL9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interferon gamma+  signature panel",
                    "synonyms": [
                        {
                            "synonym": "IFN-gamma"
                        },
                        {
                            "synonym": "Immune interferon"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P01579",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "12729-0"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29716923",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29716923",
                        "evidence_list": [
                            {
                                "evidence": "In the NSCLC discovery set, a four-gene IFN gamma-positive (IFN gamma+) signature comprising IFN gamma, CD274, LAG3, and CXCL9 was associated with higher overall response rates, longer median progression-free survival, and overall survival compared with signature-low patients. IFN gamma+ signature NSCLC patients had improved survival regardless of IHC PD-L1 status. These associations were replicated in a urothelial cancer cohort. The IFN gamma+ signature was induced 2-fold (P = 0.003) by durvalumab after 8 weeks of therapy in patients with NSCLC, and baseline signature was associated with TMB but not survival in TCGA data."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
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                        ]
                    }
                ]
            },
            {
                "biomarker": "increased IFNG, CD274, LAG3, CXCL9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interferon gamma+  signature panel",
                    "synonyms": [
                        {
                            "synonym": "PD-L1"
                        },
                        {
                            "synonym": "PDCD1 ligand 1"
                        },
                        {
                            "synonym": "Programmed death ligand 1"
                        },
                        {
                            "synonym": "hPD-L1"
                        },
                        {
                            "synonym": "B7 homolog 1"
                        },
                        {
                            "synonym": "B7-H1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9NZQ7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "12729-0"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29716923",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29716923",
                        "evidence_list": [
                            {
                                "evidence": "In the NSCLC discovery set, a four-gene IFN gamma-positive (IFN gamma+) signature comprising IFN gamma, CD274, LAG3, and CXCL9 was associated with higher overall response rates, longer median progression-free survival, and overall survival compared with signature-low patients. IFN gamma+ signature NSCLC patients had improved survival regardless of IHC PD-L1 status. These associations were replicated in a urothelial cancer cohort. The IFN gamma+ signature was induced 2-fold (P = 0.003) by durvalumab after 8 weeks of therapy in patients with NSCLC, and baseline signature was associated with TMB but not survival in TCGA data."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "increased IFNG, CD274, LAG3, CXCL9 level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Interferon gamma+  signature panel",
                    "synonyms": [
                        {
                            "synonym": "LAG-3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P18627",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": "12729-0"
                    }
                ],
                "evidence_source": [
                    {
                        "id": "29716923",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/29716923",
                        "evidence_list": [
                            {
                                "evidence": "In the NSCLC discovery set, a four-gene IFN gamma-positive (IFN gamma+) signature comprising IFN gamma, CD274, LAG3, and CXCL9 was associated with higher overall response rates, longer median progression-free survival, and overall survival compared with signature-low patients. IFN gamma+ signature NSCLC patients had improved survival regardless of IHC PD-L1 status. These associations were replicated in a urothelial cancer cohort. The IFN gamma+ signature was induced 2-fold (P = 0.003) by durvalumab after 8 weeks of therapy in patients with NSCLC, and baseline signature was associated with TMB but not survival in TCGA data."
                            }
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            {
                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
                "journal": "Diabetes",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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            {
                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
                "journal": "Diabetes",
                "authors": "Pesenacker AM, Wang AY, Singh A, Gillies J, Kim Y, Piccirillo CA, Nguyen D, Haining WN, Tebbutt SJ, Panagiotopoulos C, Levings MK",
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            {
                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
                "journal": "Diabetes",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.",
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                "title": "Prognostic value of RASSF1 promoter methylation in prostate cancer.",
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                "title": "Diagnostic markers for early detection of ovarian cancer.",
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                        {
                            "synonym": "(4S)-4-{[(5Z)-3-hydroxytetradec-5-enoyl]oxy}-4-(trimethylazaniumyl)butanoate"
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                        {
                            "synonym": "3-Hydroxy-5-tetradecenoylcarnitine"
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                        {
                            "synonym": "3-Hydroxytetradecenoylcarnitine"
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                        {
                            "synonym": "3-Hydroxy-5(Z)-tetradecenoylcarnitine"
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                "title": "Metabolomics of Non-muscle Invasive Bladder Cancer: Biomarkers for Early Detection of Bladder Cancer.",
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                "title": "Evaluation of paraneoplastic antigens reveals TRIM21 autoantibodies as biomarker for early detection of ovarian cancer in combination with autoantibodies to NY-ESO-1 and TP53.",
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                "title": "Evaluation of paraneoplastic antigens reveals TRIM21 autoantibodies as biomarker for early detection of ovarian cancer in combination with autoantibodies to NY-ESO-1 and TP53.",
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                {
                    "id": "DOID:1612",
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                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
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            ]
        },
        "evidence_source": [
            {
                "id": "27608715",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/27608715",
                "evidence_list": [
                    {
                        "evidence": "This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 patients with breast cancer as compared to the plasma exosomes of healthy control subjects. Receiver operating characteristic curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 is a better indicator of breast cancer than their individual levels."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Plasma exosome microRNAs are indicative of breast cancer.",
                "journal": "Breast cancer research : BCR",
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                ]
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            {
                "title": "Plasma exosome microRNAs are indicative of breast cancer.",
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        "biomarker_id": "AN4483-1",
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            {
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                "title": "Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma.",
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                "title": "Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma.",
                "journal": "Journal of molecular medicine (Berlin, Germany)",
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                ]
            },
            {
                "title": "Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma.",
                "journal": "Journal of molecular medicine (Berlin, Germany)",
                "authors": "Lee YH, Kim JH, Zhou H, Kim BW, Wong DT",
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                ]
            },
            {
                "title": "Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma.",
                "journal": "Journal of molecular medicine (Berlin, Germany)",
                "authors": "Lee YH, Kim JH, Zhou H, Kim BW, Wong DT",
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    {
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            {
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                        {
                            "synonym": "HspB3"
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                        {
                            "synonym": "Heat shock 17 kDa protein"
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                        {
                            "synonym": "HSP 17"
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                        {
                            "synonym": "Protein 3"
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                },
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                            "synonym": "Aldehyde dehydrogenase family 6 member A1"
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                        {
                            "synonym": "Malonate-semialdehyde dehydrogenase [acylating]"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q02252",
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                        {
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                            "synonym": "Repressor of estrogen receptor activity"
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                },
                "assessed_biomarker_entity_id": "UPKB:Q99623",
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                {
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                {
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                {
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        "citation": [
            {
                "title": "HSP27, ALDH6A1 and Prohibitin Act as a Trio-biomarker to Predict Survival in Late Metastatic Prostate Cancer.",
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                "authors": "Cho SY, Kang S, Kim DS, Na HJ, Kim YJ, Choi YD, Cho NH",
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                "title": "HSP27, ALDH6A1 and Prohibitin Act as a Trio-biomarker to Predict Survival in Late Metastatic Prostate Cancer.",
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                "title": "HSP27, ALDH6A1 and Prohibitin Act as a Trio-biomarker to Predict Survival in Late Metastatic Prostate Cancer.",
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                                "evidence": "By cDNA array analysis, ADAMTS8, ECM1, MMP8, PLAU, SELP, and TMPRSS4 were upregulated, and by quantitative PCR, ECM1, SELP, and TMPRSS4 mRNA expression was higher in malignant (n = 57) than in benign (n = 38) thyroid neoplasms. Combining both markers improved their diagnostic use (AUC 0.985; sensitivity, 91.7%; specificity, 89.8%; positive predictive value, 85.7%; negative predictive value, 82.8%). ECM1 and TMPRSS4 expression analysis improved the diagnostic accuracy of FNA biopsy in 35 of 38 indeterminate or suspicious results."
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                    "id": "DOID:1781",
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                    "id": "DOID:1781",
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                        "evidence": "By cDNA array analysis, ADAMTS8, ECM1, MMP8, PLAU, SELP, and TMPRSS4 were upregulated, and by quantitative PCR, ECM1, SELP, and TMPRSS4 mRNA expression was higher in malignant (n = 57) than in benign (n = 38) thyroid neoplasms. Combining both markers improved their diagnostic use (AUC 0.985; sensitivity, 91.7%; specificity, 89.8%; positive predictive value, 85.7%; negative predictive value, 82.8%). ECM1 and TMPRSS4 expression analysis improved the diagnostic accuracy of FNA biopsy in 35 of 38 indeterminate or suspicious results."
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                "title": "ECM1 and TMPRSS4 are diagnostic markers of malignant thyroid neoplasms and improve the accuracy of fine needle aspiration biopsy.",
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                "title": "ECM1 and TMPRSS4 are diagnostic markers of malignant thyroid neoplasms and improve the accuracy of fine needle aspiration biopsy.",
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                                "evidence": "The levels of fucosylated kininogen (Fc-Kin) and fucosylated \u03b1-1-antitrypsin were significantly higher in patients with HCC compared with those with cirrhosis (P < 0.0001). Greatest performance was achieved through the combination of Fc-Kin, \u03b1-fetoprotein, and GP73. These markers when used in combination with GP73 had an overall performance that was better than AFP alone. GP73 had a mean increase of 2.4-fold in patients with cirrhosis, 8.4-fold in patients with stage I or II HCC, and 8.1-fold in patients with stage III or IV HCC."
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                {
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            {
                "title": "Novel fucosylated biomarkers for the early detection of hepatocellular carcinoma.",
                "journal": "Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology",
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            {
                "title": "Novel fucosylated biomarkers for the early detection of hepatocellular carcinoma.",
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                "authors": "Wang M, Long RE, Comunale MA, Junaidi O, Marrero J, Di Bisceglie AM, Block TM, Mehta AS",
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                "title": "Osteopontin as a potential diagnostic biomarker for ovarian cancer.",
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                "title": "Preoperative plasma osteopontin level as a biomarker complementary to carbohydrate antigen 125 in predicting ovarian cancer.",
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                "title": "Preoperative plasma osteopontin level as a biomarker complementary to carbohydrate antigen 125 in predicting ovarian cancer.",
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                        {
                            "synonym": "Cellular retinol-binding protein"
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                            "synonym": "CRBP"
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                            "synonym": "Cellular retinol-binding protein I"
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                            "synonym": "CRBP-I"
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                },
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                        ],
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                            {
                                "tag": "biomarker"
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                ],
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                        "tag": "condition"
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        ],
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            {
                "title": "Panel of serum biomarkers for the diagnosis of lung cancer.",
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                "title": "Panel of serum biomarkers for the diagnosis of lung cancer.",
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            {
                "title": "Panel of serum biomarkers for the diagnosis of lung cancer.",
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            },
            {
                "title": "Panel of serum biomarkers for the diagnosis of lung cancer.",
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                        ],
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                                "tag": "biomarker"
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            },
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                "assessed_biomarker_entity_id": "UPKB:P02741",
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                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
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                                "tag": "assessed_biomarker_entity"
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                                "tag": "assessed_biomarker_entity_id"
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                ]
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        ],
        "best_biomarker_role": [
            {
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        ],
        "condition": {
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            "synonyms": [
                {
                    "id": "DOID:1612",
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                {
                    "id": "DOID:1612",
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                {
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                },
                {
                    "id": "DOID:1612",
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                },
                {
                    "id": "DOID:1612",
                    "name": "mammary tumor",
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                    "url": "http://purl.obolibrary.org/obo/DOID_1612"
                },
                {
                    "id": "DOID:1612",
                    "name": "malignant neoplasm of breast",
                    "resource": "Disease Ontology",
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            ]
        },
        "evidence_source": [
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                "id": "19470939",
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                "evidence_list": [
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                        "evidence": "Circulating SAA and CRP may be important prognostic markers for long-term survival in breast cancer patients, independent of race, tumor stage, and body mass index."
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                ],
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                    {
                        "tag": "condition"
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                ]
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        ],
        "citation": [
            {
                "title": "Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients.",
                "journal": "Journal of clinical oncology : official journal of the American Society of Clinical Oncology",
                "authors": "Pierce BL, Ballard-Barbash R, Bernstein L, Baumgartner RN, Neuhouser ML, Wener MH, Baumgartner KB, Gilliland FD, Sorensen BE, McTiernan A, Ulrich CM",
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                        "id": "19470939",
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                ]
            },
            {
                "title": "Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients.",
                "journal": "Journal of clinical oncology : official journal of the American Society of Clinical Oncology",
                "authors": "Pierce BL, Ballard-Barbash R, Bernstein L, Baumgartner RN, Neuhouser ML, Wener MH, Baumgartner KB, Gilliland FD, Sorensen BE, McTiernan A, Ulrich CM",
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                    {
                        "id": "19470939",
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                ]
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        ],
        "biomarker_canonical_id": "AN4489",
        "collision": 0
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    {
        "biomarker_id": "AN4490-1",
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                "biomarker": "hypermethylated P16, RASSF1A, RPRM, RUNX3 gene",
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                    "recommended_name": "Gastric cancer circulating methylated P16, RASSF1A, RPRM, RUNX3 DNA panel",
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                            "synonym": "Alternative reading frame"
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                            "synonym": "ARF"
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                        {
                            "synonym": "Cyclin-dependent kinase inhibitor 2A"
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                        {
                            "synonym": "p14ARF"
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                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8N726",
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                        "evidence": "Methylated P16, RASSF1A, RPRM, and RUNX3 were significantly higher in the GC patients (41.7, 33.3, 66.7, and 58.3%) compared to the controls (15.9, 0.0, 6.8, and 4.5%), respectively (p<0.001). Stratification of patients showed that RPRM (AUC: 0.70, Sensitivity: 0.47, Specificity: 0.93, and p<0.001) and RUNX3 (AUC: 0.77, Sensitivity: 0.59, Specificity: 0.95, and p<0.001) had the highest performances in detection of early-stage (I+II) GC. The combined methylation of RPRM and RUNX3 in detection of early-stage GC had a higher AUC of 0.88 (SE=0.042; 95% CI:0.793-0.957; p<0.001), higher sensitivity of 0.82 and reduced specificity of 0.89."
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        "citation": [
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                "title": "Methylation Analysis of ",
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            {
                "title": "Methylation Analysis of ",
                "journal": "Avicenna journal of medical biotechnology",
                "authors": "Saliminejad K, Soleymani Fard S, Khorram Khorshid HR, Yaghmaie M, Mahmoodzadeh H, Mousavi SA, Ghaffari SH",
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            {
                "title": "Methylation Analysis of ",
                "journal": "Avicenna journal of medical biotechnology",
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            {
                "title": "Methylation Analysis of ",
                "journal": "Avicenna journal of medical biotechnology",
                "authors": "Saliminejad K, Soleymani Fard S, Khorram Khorshid HR, Yaghmaie M, Mahmoodzadeh H, Mousavi SA, Ghaffari SH",
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                            "synonym": "EGP314"
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                            "synonym": "hEGP314"
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                            "synonym": "KS 1/4 antigen"
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                            "synonym": "KSA"
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                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Cysteine-rich with EGF-like domain protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96HD1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Amino acid transporter A1"
                        },
                        {
                            "synonym": "N-system amino acid transporter 2"
                        },
                        {
                            "synonym": "Solute carrier family 38 member 1"
                        },
                        {
                            "synonym": "System A amino acid transporter 1"
                        },
                        {
                            "synonym": "System N amino acid transporter 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9H2H9",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Beta-tropomyosin"
                        },
                        {
                            "synonym": "Tropomyosin-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P07951",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "SMAP55"
                        },
                        {
                            "synonym": "Transducin beta-like protein 1X"
                        },
                        {
                            "synonym": "Transducin-beta-like protein 1, X-linked"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O60907",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "17-beta-HSD 3"
                        },
                        {
                            "synonym": "Estradiol 17-beta-dehydrogenase 2"
                        },
                        {
                            "synonym": "Short chain dehydrogenase/reductase family 12C member 2"
                        },
                        {
                            "synonym": "Testicular 17-beta-hydroxysteroid dehydrogenase"
                        },
                        {
                            "synonym": "Testosterone 17-beta-dehydrogenase 3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P37058",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Dispanin subfamily A member 2b"
                        },
                        {
                            "synonym": "DSPA2b"
                        },
                        {
                            "synonym": "Interferon-inducible protein 1-8U"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q01628",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "B-lymphocyte surface antigen B1"
                        },
                        {
                            "synonym": "Bp35"
                        },
                        {
                            "synonym": "Leukocyte surface antigen Leu-16"
                        },
                        {
                            "synonym": "Membrane-spanning 4-domains subfamily A member 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P11836",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q8N6V9",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Exocrine differentiation and proliferation factor"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9H3Y8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Protein phosphatase 1 myosin-binding subunit of 85 kDa"
                        },
                        {
                            "synonym": "Protein phosphatase 1 myosin-binding subunit p85"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9BZL4",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "DIPP-2"
                        },
                        {
                            "synonym": "Diadenosine 5',5'''-P1,P6-hexaphosphate hydrolase 2"
                        },
                        {
                            "synonym": "Nucleoside diphosphate-linked moiety X motif 4"
                        },
                        {
                            "synonym": "Nudix motif 4"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9NZJ9",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Laminin B1s chain"
                        },
                        {
                            "synonym": "Laminin-11 subunit beta"
                        },
                        {
                            "synonym": "Laminin-14 subunit beta"
                        },
                        {
                            "synonym": "Laminin-15 subunit beta"
                        },
                        {
                            "synonym": "Laminin-3 subunit beta"
                        },
                        {
                            "synonym": "Laminin-4 subunit beta"
                        },
                        {
                            "synonym": "Laminin-7 subunit beta"
                        },
                        {
                            "synonym": "Laminin-9 subunit beta"
                        },
                        {
                            "synonym": "S-laminin subunit beta"
                        },
                        {
                            "synonym": "S-LAM beta"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P55268",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q8IXV7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P12111",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Dilute myosin heavy chain, non-muscle"
                        },
                        {
                            "synonym": "Myosin heavy chain 12"
                        },
                        {
                            "synonym": "Myosin-12"
                        },
                        {
                            "synonym": "Myoxin"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y4I1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Acid sphingomyelinase"
                        },
                        {
                            "synonym": "aSMase"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P17405",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Zinc finger protein 326"
                        },
                        {
                            "synonym": "Zinc finger protein interacting with mRNPs and DBC1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q5BKZ1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Just another zinc finger protein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UL40",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "PKC-interacting cousin of thioredoxin"
                        },
                        {
                            "synonym": "PICOT"
                        },
                        {
                            "synonym": "PKC-theta-interacting protein"
                        },
                        {
                            "synonym": "PKCq-interacting protein"
                        },
                        {
                            "synonym": "Thioredoxin-like protein 2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O76003",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Basement membrane autoantigen p105"
                        },
                        {
                            "synonym": "Lectin galactoside-binding soluble 3-binding protein"
                        },
                        {
                            "synonym": "Mac-2-binding protein"
                        },
                        {
                            "synonym": "MAC2BP"
                        },
                        {
                            "synonym": "Mac-2 BP"
                        },
                        {
                            "synonym": "Tumor-associated antigen 90K"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q08380",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "20 kDa myosin light chain"
                        },
                        {
                            "synonym": "LC20"
                        },
                        {
                            "synonym": "MLC-2C"
                        },
                        {
                            "synonym": "Myosin RLC"
                        },
                        {
                            "synonym": "Myosin regulatory light chain 2, smooth muscle isoform"
                        },
                        {
                            "synonym": "Myosin regulatory light chain 9"
                        },
                        {
                            "synonym": "Myosin regulatory light chain MRLC1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P24844",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y5V0",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:A4D0V7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "SAM domain-containing protein 14"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8IZD0",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "NADP-regulated thyroid-hormone-binding protein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q14894",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Ng"
                        },
                        {
                            "synonym": "RC3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q92686",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "PDHE1-B"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P11177",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
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                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:Q9GZN7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Protein WAVE-1"
                        },
                        {
                            "synonym": "Verprolin homology domain-containing protein 1"
                        },
                        {
                            "synonym": "Wiskott-Aldrich syndrome protein family member 1"
                        },
                        {
                            "synonym": "WASP family protein member 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q92558",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "HECT domain and RCC1-like domain-containing protein 2"
                        },
                        {
                            "synonym": "HECT-type E3 ubiquitin transferase HERC2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O95714",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Testis-expressed protein 27"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9H8U3",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "CTCL tumor antigen se20-10"
                        },
                        {
                            "synonym": "Tumor- and microtubule-associated protein"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8WWK9",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
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                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": []
                },
                "assessed_biomarker_entity_id": "UPKB:P36404",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "SRrp53"
                        },
                        {
                            "synonym": "Arginine/serine-rich coiled-coil protein 1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q96IZ7",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Endo-glucoronidase"
                        },
                        {
                            "synonym": "Heparanase-1"
                        },
                        {
                            "synonym": "Hpa1"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9Y251",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "MutL protein homolog 3"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q9UHC1",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "Lymphopain"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:P56202",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
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                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "AMPK subunit beta-2"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:O43741",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
                        "evidence_list": [
                            {
                                "evidence": "48 biomarker genes accurately predicted NSCLC with leave-one-out cross-validation (LOOCV) sensitivity, specificity, accuracy, and Matthews correlation coefficients of 0.925, 0.827, 0.889, and 0.760, respectively. Network analysis of the 48 genes revealed that the WASF1 actin cytoskeleton module, PRKAB2 kinase module, RSRC1 ribosomal protein module, PDHB carbohydrate-metabolism module, and three intermodule hubs (TPM2, MYL9, and PPP1R12C) may play important roles in NSCLC tumorigenesis and progression. The 48-gene TEP liquid-biopsy biomarkers will facilitate early screening of NSCLC and prolong the survival of cancer patients."
                            }
                        ],
                        "tags": [
                            {
                                "tag": "biomarker"
                            },
                            {
                                "tag": "assessed_biomarker_entity"
                            },
                            {
                                "tag": "assessed_biomarker_entity_id"
                            },
                            {
                                "tag": "assessed_entity_type"
                            }
                        ]
                    }
                ]
            },
            {
                "biomarker": "measured 48 gene expression level",
                "assessed_biomarker_entity": {
                    "recommended_name": "Lung cancer forty-eight-gene TEP liquid-biopsy panel",
                    "synonyms": [
                        {
                            "synonym": "DTD"
                        },
                        {
                            "synonym": "DNA-unwinding element-binding protein B"
                        },
                        {
                            "synonym": "DUE-B"
                        },
                        {
                            "synonym": "Gly-tRNA(Ala) deacylase"
                        },
                        {
                            "synonym": "Histidyl-tRNA synthase-related"
                        }
                    ]
                },
                "assessed_biomarker_entity_id": "UPKB:Q8TEA8",
                "assessed_entity_type": "protein",
                "specimen": [
                    {
                        "name": "blood",
                        "id": "UBERON:0000178",
                        "name_space": "Uberon",
                        "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                        "loinc_code": ""
                    }
                ],
                "evidence_source": [
                    {
                        "id": "30532555",
                        "database": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/30532555",
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                        "evidence": "Two identified candidate O-glycoprotein biomarkers (CD44 and GalNAc-T5) circulating with the STn glycoform were further validated as being expressed in gastric cancer tissue. This study clearly shows that cancer patients have a variety of circulating O-glycoproteins with the STn glycoform, and supports the hypothesis that these glycoproteins originate from the cancer tissue. We confirmed that gastric cancer tissue express the CD44v6 variant and carries STn O-glycans by in situ PLA. It is therefore likely that CD44v6/STn in serum originate from cancer cells and may represent a useful biomarker."
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                ],
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                "title": "Probing the O-glycoproteome of gastric cancer cell lines for biomarker discovery.",
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                        "evidence": "Analysis of sera from breast cancer cases revealed significantly elevated levels of Neu5Gc biomarkers at all stages of breast cancer. We show that Neu5Gc serum biomarker levels can discriminate breast cancer patients from cancer-free individuals with 98.96% sensitivity and 100% specificity. Neu5Gc serum biomarkers are a promising new tool for early detection and disease monitoring for breast cancer that may complement current imaging- and biopsy-based approaches."
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            {
                "title": "N-glycolylneuraminic acid serum biomarker levels are elevated in breast cancer patients at all stages of disease.",
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                "authors": "Shewell LK, Day CJ, Kutasovic JR, Abrahams JL, Wang J, Poole J, Niland C, Ferguson K, Saunus JM, Lakhani SR, von Itzstein M, Paton JC, Paton AW, Jennings MP",
                "date": "2022-03-30",
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                {
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                },
                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
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                "id": "36564848",
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                    {
                        "evidence": "Serum CA125-Tn level could be a novel biomarker for peritoneal dissemination and a promising predictor of surgical completeness in ovarian cancer. Patients with lower CA125-Tn levels were more likely to have no residual disease. CA125-Tn could help surgeons to adopt optimized treatment strategies for patients with advanced ovarian cancer as a pre-treatment evaluator."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
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                ]
            }
        ],
        "citation": [
            {
                "title": "Evaluation of serum CA125-Tn glycoform in peritoneal dissemination and surgical completeness of high-grade serous ovarian cancer.",
                "journal": "Journal of ovarian research",
                "authors": "Jin X, Du M, Wang Y, Wang Y, Lu Y, Xu C, Zhang X",
                "date": "2022-12-24",
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                    {
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                "title": "Evaluation of serum CA125-Tn glycoform in peritoneal dissemination and surgical completeness of high-grade serous ovarian cancer.",
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                "authors": "Jin X, Du M, Wang Y, Wang Y, Lu Y, Xu C, Zhang X",
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                            {
                                "evidence": "Among three fucosylated glycoproteins, the fucosylated PSA was significantly increased and correlated with the tumor Gleason score (p<0.05). The ratio of fucosylated PSA showed a marked increase in aggressive tumors in comparison to non-aggressive tumors. ROC analysis also showed an improved predictive power of fucosylated PSA in the identification of aggressive Pca. Our data suggested that the fucosylated PSA had the potential to be used as a biomarker to separate aggressive from non-aggressive prostate cancers."
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                        ],
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                                "tag": "biomarker"
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                                "evidence": "Among three fucosylated glycoproteins, the fucosylated PSA was significantly increased and correlated with the tumor Gleason score (p<0.05). The ratio of fucosylated PSA showed a marked increase in aggressive tumors in comparison to non-aggressive tumors. ROC analysis also showed an improved predictive power of fucosylated PSA in the identification of aggressive Pca. Our data suggested that the fucosylated PSA had the potential to be used as a biomarker to separate aggressive from non-aggressive prostate cancers."
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                        ],
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                                "tag": "biomarker"
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                {
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                {
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                {
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                {
                    "id": "DOID:10283",
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                    {
                        "evidence": "Among three fucosylated glycoproteins, the fucosylated PSA was significantly increased and correlated with the tumor Gleason score (p<0.05). The ratio of fucosylated PSA showed a marked increase in aggressive tumors in comparison to non-aggressive tumors. ROC analysis also showed an improved predictive power of fucosylated PSA in the identification of aggressive Pca. Our data suggested that the fucosylated PSA had the potential to be used as a biomarker to separate aggressive from non-aggressive prostate cancers."
                    }
                ],
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                    {
                        "tag": "condition"
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        "citation": [
            {
                "title": "Serum fucosylated prostate-specific antigen (PSA) improves the differentiation of aggressive from non-aggressive prostate cancers.",
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                "date": "2015-01-02",
                "evidence": [],
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            {
                "title": "Serum fucosylated prostate-specific antigen (PSA) improves the differentiation of aggressive from non-aggressive prostate cancers.",
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                "authors": "Li QK, Chen L, Ao MH, Chiu JH, Zhang Z, Zhang H, Chan DW",
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                },
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                "evidence_source": [
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                        "id": "29313235",
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                            {
                                "evidence": "...five microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) methylated in the majority of tumor specimens in comparison with paired specimens of histologically intact tissue (37-57% vs. 4-9%, p<0.01). Methylation of three genes (MIR-9-1, MIR-9-3, and MIR-130b) was significantly (p\u22640.05) associated with the parameters of ovarian cancer progress (clinical stage, differentiation degree, tumor size, and presence of metastases). These findings attest to oncosuppressive role of the studied microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) in the pathogenesis and progress of ovarian cancer and indicated their prognostic potential."
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                "name": "ovarian cancer",
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                {
                    "id": "DOID:2394",
                    "name": "tumor of the Ovary",
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                {
                    "id": "DOID:2394",
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                {
                    "id": "DOID:2394",
                    "name": "malignant Ovarian tumor",
                    "resource": "Disease Ontology",
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                {
                    "id": "DOID:2394",
                    "name": "ovarian neoplasm",
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        "evidence_source": [
            {
                "id": "29313235",
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                "evidence_list": [
                    {
                        "evidence": "...five microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) methylated in the majority of tumor specimens in comparison with paired specimens of histologically intact tissue (37-57% vs. 4-9%, p<0.01). Methylation of three genes (MIR-9-1, MIR-9-3, and MIR-130b) was significantly (p\u22640.05) associated with the parameters of ovarian cancer progress (clinical stage, differentiation degree, tumor size, and presence of metastases). These findings attest to oncosuppressive role of the studied microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) in the pathogenesis and progress of ovarian cancer and indicated their prognostic potential."
                    }
                ],
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        "citation": [
            {
                "title": "Five Hypermethylated MicroRNA Genes as Potential Markers of Ovarian Cancer.",
                "journal": "Bulletin of experimental biology and medicine",
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                "biomarker": "hypermethylated RASSF1 gene",
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                                "evidence": "Hypermethylation of RASSF1 in cancerous tissue and urine from patients with prostate cancer correlated with biochemical recurrence after radical prostatectomy. The prognostic potential of this biomarker deserves further investigation."
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                    "name": "prostate neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "NGP - new growth of prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostate cancer, familial",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic neoplasm",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "malignant tumor of the prostate",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "hereditary prostate cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                },
                {
                    "id": "DOID:10283",
                    "name": "prostatic cancer",
                    "resource": "Disease Ontology",
                    "url": "http://purl.obolibrary.org/obo/DOID_10283"
                }
            ]
        },
        "evidence_source": [
            {
                "id": "24980613",
                "database": "Pubmed",
                "url": "https://pubmed.ncbi.nlm.nih.gov/24980613",
                "evidence_list": [
                    {
                        "evidence": "Hypermethylation of RASSF1 in cancerous tissue and urine from patients with prostate cancer correlated with biochemical recurrence after radical prostatectomy. The prognostic potential of this biomarker deserves further investigation."
                    }
                ],
                "tags": [
                    {
                        "tag": "condition"
                    }
                ]
            }
        ],
        "citation": [
            {
                "title": "Prognostic value of RASSF1 promoter methylation in prostate cancer.",
                "journal": "The Journal of urology",
                "authors": "Daniunaite K, Jarmalaite S, Kalinauskaite N, Petroska D, Laurinavicius A, Lazutka JR, Jankevicius F",
                "date": "2014-07-02",
                "evidence": [],
                "reference": [
                    {
                        "id": "24980613",
                        "type": "Pubmed",
                        "url": "https://pubmed.ncbi.nlm.nih.gov/24980613"
                    }
                ]
            }
        ],
        "biomarker_canonical_id": "AN4384",
        "collision": 1
    }
]
