{
    "biomarker_id": "AN6290-1",
    "biomarker_canonical_id": "AN6290",
    "condition": {
        "recommended_name": {
            "id": "DOID:11934",
            "resource": "Disease Ontology",
            "url": "https://disease-ontology.org/term/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."
        },
        "synonyms": [
            {
                "id": "DOID:11934",
                "resource": "Disease Ontology",
                "url": "https://disease-ontology.org/term/DOID:11934",
                "name": "head and neck neoplasm",
                "description": ""
            },
            {
                "id": "DOID:11934",
                "resource": "Disease Ontology",
                "url": "https://disease-ontology.org/term/DOID:11934",
                "name": "head and neck tumours",
                "description": ""
            },
            {
                "id": "DOID:11934",
                "resource": "Disease Ontology",
                "url": "https://disease-ontology.org/term/DOID:11934",
                "name": "head/neck neoplasm",
                "description": ""
            },
            {
                "id": "DOID:11934",
                "resource": "Disease Ontology",
                "url": "https://disease-ontology.org/term/DOID:11934",
                "name": "tumor of head and neck",
                "description": ""
            }
        ],
        "id": "DOID:11934"
    },
    "biomarker_component": [
        {
            "biomarker": "increased CRP level",
            "assessed_biomarker_entity_id": "P02741-1",
            "assessed_entity_type": "protein",
            "assessed_biomarker_entity": {
                "recommended_name": "C-reactive protein",
                "synonyms": []
            },
            "specimen": [
                {
                    "name": "blood",
                    "namespace": "UBERON",
                    "id": "0000178",
                    "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                    "loinc_code": "71426-1"
                }
            ],
            "evidence_source": [
                {
                    "id": "AN6290-1",
                    "database": "BiomarkerKB",
                    "url": "https://biomarkerkb.org/biomarker/AN6290-1"
                },
                {
                    "id": "24481866",
                    "database": "PubMed",
                    "url": "https://glygen.org/publication/PubMed/24481866",
                    "tags": [
                        "assessed_biomarker_entity",
                        " biomarker",
                        " specimen"
                    ],
                    "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."
                        }
                    ]
                },
                {
                    "id": "32224151",
                    "database": "PubMed",
                    "url": "https://glygen.org/publication/PubMed/32224151",
                    "tags": [
                        "assessed_biomarker_entity",
                        " biomarker",
                        " specimen"
                    ],
                    "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"
                        }
                    ]
                }
            ]
        }
    ],
    "best_biomarker_role": [
        {
            "role": "prognostic"
        }
    ],
    "evidence_source": [
        {
            "id": "AN6290-1",
            "database": "BiomarkerKB",
            "url": "https://biomarkerkb.org/biomarker/AN6290-1"
        },
        {
            "id": "24481866",
            "database": "PubMed",
            "url": "https://glygen.org/publication/PubMed/24481866",
            "tags": [
                "best_biomarker_role",
                " condition"
            ],
            "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."
                }
            ]
        },
        {
            "id": "32224151",
            "database": "PubMed",
            "url": "https://glygen.org/publication/PubMed/32224151",
            "tags": [
                "best_biomarker_role",
                " condition"
            ],
            "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"
                }
            ]
        }
    ],
    "crossref": [
        {
            "id": "AN6290-1",
            "database": "BiomarkerKB",
            "url": "https://biomarkerkb.org/biomarker/AN6290-1",
            "categories": [
                "Biomarkers"
            ]
        }
    ],
    "citation": [
        {
            "title": "Plasma tumor necrosis factor-alpha 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 BA, Lewin F, Lundgren J, Nilsson M, Rutqvist LE, Lofgren S, Laytragoon-Lewin N",
            "date": "2014",
            "reference": [
                {
                    "type": "PubMed",
                    "id": "24481866",
                    "url": "https://glygen.org/publication/PubMed/24481866"
                }
            ],
            "evidence": [
                {
                    "id": "AN6278-3",
                    "database": "BiomarkerKB",
                    "url": "https://biomarkerkb.org/biomarker/AN6290-1"
                }
            ]
        },
        {
            "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",
            "reference": [
                {
                    "type": "PubMed",
                    "id": "32224151",
                    "url": "https://glygen.org/publication/PubMed/32224151"
                }
            ],
            "evidence": [
                {
                    "id": "AN6290-1",
                    "database": "BiomarkerKB",
                    "url": "https://biomarkerkb.org/biomarker/AN6290-1"
                }
            ]
        }
    ],
    "section_stats": [
        {
            "table_id": "biomarker_component",
            "table_stats": [
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                    "count": 1
                }
            ],
            "sort_fields": [
                "biomarker",
                "assessed_biomarker_entity_id",
                "assessed_entity_type",
                "assessed_biomarker_entity.recommended_name"
            ]
        },
        {
            "table_id": "citation",
            "table_stats": [
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                    "count": 2
                }
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}