
==== Front
Hepatol Commun
Hepatol Commun
HC9
Hepatology Communications
2471-254X
Lippincott Williams & Wilkins Hagerstown, MD

39298568
HEP4-24-0589
10.1097/HC9.0000000000000525
00002
3
Review
Steroid-refractory immune checkpoint inhibitor (ICI) hepatitis and ICI rechallenge: A systematic review and meta-analysis
https://orcid.org/0000-0001-9845-7073
Hwang Soo Young 12sooyoungsarah@gmail.com

https://orcid.org/0000-0002-1558-9781
Hsieh Pinghsin 1Pinghsin.hsieh@umm.edu

Zhang Wei 2wzhang50@mgh.harvard.edu

1 Department of Internal Medicine, University of Maryland Midtown Campus, Baltimore, Maryland, USA
2 Gastroenterology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
Correspondence Wei Zhang, Gastroenterology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. Email: wzhang50@mgh.harvard.edu
10 2024
18 9 2024
8 10 e052510 6 2024
31 7 2024
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.
2024
https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/

Background:

In recent years, the use of immune checkpoint inhibitors (ICIs) has become a cornerstone in cancer treatment. However, this has also resulted in the emergence of immune-related adverse events, notably ICI hepatitis, posing a significant clinical challenge. While steroids are the primary treatment, there are increasing cases of steroid-refractory ICI hepatitis. Our objective is to investigate the management of ICI hepatitis and its response to steroid treatment.

Methods:

PubMed/MEDLINE, EMBASE, and CENTRAL databases were searched in July 2023 based on keywords including ICIs (anti–Programmed cell death protein 1/Programmed Death-Ligand 1, anti–CTLA–4, and anti-LAG3) and hepatitis.

Results:

A total of 4358 studies were screened, and 44 studies were included in this systematic review. One thousand eight hundred fifty-six patients with ICI hepatitis were included (grade 1-2: 31.7%, grade 3-4: 56.0%, and unknown: 12.3%) with 1184 patients who received corticosteroid treatment. The duration of treatment and dosage varied considerably across the studies. Mycophenolate mofetil was the predominant agent used in 68 out of 82 cases (82.9%), followed by infliximab and azathioprine. A summary estimate of the proportion of steroid-refractory hepatitis in a random effects model was 16% (95% CI: 11%–23%). An estimated 40% (95% CI: 30%–51%) of patients of all patients with ICI hepatitis were rechallenged with an ICI, and of those rechallenged, there was an estimated 22% (95% CI: 15%–30%) recurrence.

Conclusions:

Corticosteroids are the primary treatment for ICI hepatitis, with mycophenolate mofetil used as a secondary option for steroids-refractory cases. Current practices mostly rely on expert consensus, highlighting the need for further research to validate and optimize these treatments, particularly for steroid-resistant cases.

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pmcINTRODUCTION

Immune checkpoint inhibitors (ICIs) have become a cornerstone in cancer treatment, demonstrating lasting efficacy even in patients with metastatic cancer, and are increasingly employed in (neo)adjuvant and maintenance therapy.1 However, this has also resulted in the emergence of immune-related adverse events (irAEs), which are strongly associated with but not limited to immune activation associated with antitumor immune responses.2 Long-term implications and management for irAEs are essential in improving survival with ICIs.

The liver is one of the frequently involved organs in irAE, along with the skin, gut, endocrine gland, and lungs.3 Incidence of ICI hepatitis is around 5%–10% of patients treated with ipilimumab, nivolumab, pembrolizumab as single agents but increases as high as 25%–30% in ipilimumab and nivolumab combination therapy.4 Steroids are advised as the initial course of treatment, but there are limitations to the current recommendations as the guidelines are derived largely from expert opinion and case studies.5

In this study, we aim to conduct a comprehensive review of the treatment approaches and responses for ICI hepatitis, primarily to steroids and secondary immunosuppressants as needed. We further explore the response with rechallenge with an ICI and the recurrent rate of ICI hepatitis.

METHODS

Literature search and eligibility

This study was prospectively registered at PROSPERO (registration number: CRD42023450088) and followed the MOOSE reporting guidelines (Supplemental Table S1, http://links.lww.com/HC9/B40). We searched PubMed/MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases in July 2023 based on keywords including currently approved “immune checkpoint inhibitors” (anti–Programmed cell death protein 1 (PD-1)/Programmed Death-Ligand 1 (PD-L1), anti–CTLA–4, and anti-LAG3) and “hepatitis” (complete search strategy provided in Supplemental Table S2, http://links.lww.com/HC9/B40) as keywords by investigator (Soo Young Hwang). Two independent researchers (Soo Young Hwang and Pinghsin Hsieh) reviewed the eligibility of the studies independently, and any disagreement was resolved upon discussion between the 2 researchers. Studies that have a description of steroid usage as a treatment for ICI hepatitis or any other treatment for ICI hepatitis were included. Non-English studies, case reports, meeting abstracts, studies on data that were reported in included studies, and studies with insufficient data were excluded.

Data extraction

From the eligible studies, we extracted the name of the first author, publication year, country, study design, number of patients with ICI hepatitis, stage of ICI hepatitis, cancer type and stage, ICIs, steroid dosage and duration of treatment, secondary immunosuppressive agents, number of patients who were rechallenged, peak ALT levels, adverse events of steroids, and other irAE. The Newcastle–Ottawa Scale (NOS) was applied to assess the risk of bias in the observational studies.

ICI hepatitis

In the setting that ICI is the most likely cause of liver injury, Common Terminology Criteria for Adverse Events, Version 5 (CTCAE) defines grade 1 hepatitis as AST/ALT 1–3× the upper limit of normal (ULN) or total bilirubin 1–1.5× ULN, grade 2 hepatitis as AST/ALT >3–5× ULN or total bilirubin >1.5–3× ULN, grade 3 hepatitis as AST/ALT >5–20× ULN or total bilirubin >3–10× ULN, and grade 4 hepatitis as AST/ALT >20× ULN or total bilirubin >10× ULN or hepatic decompensation.6

Statistical analysis

Meta-analysis of proportions was performed based on the number of patients treated with steroids and the number of patients requiring a secondary immunosuppressant as the primary outcome. Secondary outcomes were the proportion of patients with ICI hepatitis who were rechallenged with an ICI and the proportion of ICI hepatitis recurrence. The proportion of each study outcome was calculated using a logit transformation. The random effects model was used to obtain the summary estimates, and the summary results were displayed in forest plots. The Q and Higgins I2 statistics were calculated to evaluate the heterogeneity in the included studies.7 Publication bias was visually assessed by plotting effect size against sample size (ie, funnel plot) (Supplemental Figure S1, http://links.lww.com/HC9/B40). We performed additional analyses to further explore the heterogeneity of the study. These included subgroup analysis on the country of origin and tumor type, with a focus on melanoma (Supplemental Figure S4, http://links.lww.com/HC9/B40).

A meta-regression analysis was performed based on the primary outcome with moderators, including the percentage of patients who received combination treatment and the percentage of patients with advanced hepatitis (grade 3-4). In addition, we conducted a meta-regression analysis based on the primary outcome and the year of publication. In addition, the association between the number of patients with ICI hepatitis who did not receive any intervention and the percentage of grade 1-2 hepatitis was investigated through a meta-regression analysis.

RESULTS

Through a comprehensive search of the 3 databases, 4358 potentially eligible studies were identified and independently screened with an in-depth full-text screening of 130 studies and 44 studies included for final analysis8–51 (Figure 1; Tables 1–3).

FIGURE 1 Flow diagram of all included studies. *Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). **If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools. From Page et al.52 For more information, visit: http://www.prisma-statement.org/.

TABLE 1 Basic characteristics of all included studies

			Cancer			Grade of ICI hepatitis		
Study	Age	Male, n (%)	Type (n)	Stage (%)	ICI	N. received ICI	1	2	3	4	Total	
Leroy et al8	82 [80–90]	14 (60.9)	Melanoma (23)	Stage 4	Ipilimumab	23	0	0	2	0	2	
Luo et al9			Lung			51					6	
Romanski et al10	60 [38–87]	19 (44.2)	Melanoma	Stage 4	Ipilimumab (14), pembrolizumab (16), nivolumab (1), ipilimumab + nivolumab (12)	521	179	15	23	5	265	
Miller et al11	60 [IQR: 54–69]	61 (61)	Melanoma (53), GU (14), lung, head, neck (12), GI (9), other solid (2), hematological (10)	Stage 3
(9) Stage 4 (91)	CTLA-4 monotherapy (25), PD-1/PD-L1 monotherapy (46), combination (29)	5762	0	0	85	15	100	
Smith et al12	53.8 [IQR: 46.9–60.7]	22 (69)	Melanoma	Stage 3 (8)
Stage 4 (92)	Ipilimumab + nivolumab	63	11		21		32	
Yamamoto et al13	70 [30–84]	14 (66.67)	NSCLC (3), RCC (7), urothelial (1), MM (8), other (2)		Nivolumab (10), pembrolizumab (3), atezolizumab (1), ipilimumab (2), ipilimumab + nivolumab (5)	245	0	7	9	5	21	
Takinami et al14	55.5 [IQR: 54–68]	4 (50)	Melanoma (6), renal cell (2)		Pembrolizumab (1), ipilimumab (2), ipilimumab + nivolumab (5)	530	0	3	5		8	
Owen et al15			Melanoma	Stage 4	Anti-PD1, anti-PD1 + anti-CTLA4, anti-PD1 ± anti-CTLA4	118	0	2	8	2	12	
Li et al16	57.8 (13.7)	47 (54.0)	Melanoma, NSCLC, RCC, breast cancer, urothelial cancer, other		Nivolumab (11), pembrolizumab (43), cemiplimab, ipilimumab (18), ipilimumab + nivolumab (49), anti–PD-L1 (7)	7046	0	0	60	27	87	
	61.6 (15.5)	66 (51.6)			Nivolumab (11), pembrolizumab (14), cemiplimab (2), ipilimumab (9), ipilimumab + nivolumab (45), anti–PD-L1 (6)		0	0	106	22	128	
Cunningham et al17	47.9 (95% CI: 39.3–58.4)	9 (52.9)	Head and neck (4), melanoma (8), pancreas (1), colorectal (2), sarcoma (1), RCC (1)		Anti-PD1 (11), anti–PD-L1 (1), anti-CTLA4 (3), combination (1), blinded (1)	450	0	4	13		17	
Sanz-Segura et al18						132	2	2	0	0	4	
da Silva et al19	65	2 (66.7)	Lung (2), melanoma (1)		Pembrolizumab (1), nivolumab (2)	151					3	
Huffman et al20	57 [32–82]	12 (75)	Melanoma	Stage 4	Ipilimumab (12), pembrolizumab (3), ipilimumab + nivolumab (2)	218	3	1	8	3	17	
Cheung et al21	62 [21–76]	11 (52)	Melanoma (17), renal cell (1), non–small cell lung (2), epithelial mesothelioma (1)		ipilimumab, nivolumab, pembrolizumab, ipilimumab + nivolumab, Checkmate 238	453	3	4	9	5	21	
Shimomura et al22			NSCLC	Stage 4	Anti–PD-1 inhibitors	375	18	10	6	0	34	
Swanson et al (2022)	70 [54–86]	1 (50)	cSCC		Cemiplimab (2)	39					2	
de la Bruyère et al24			Melanoma (8), lung (4)		PD(L)-1 inhibitors (6), CTLA-4 inhibitors (6)	150	0	0	12		12	
Swanson et al (2022)	65 [47–70]	3 (50)	Pancreatic (3), HCC (2), RCC (1)	Stage 4	Durvalumab combination (6)	112	0	3	3	0	6	
Sawada et al26	64.0 [48–76]	7 (87.5)	NSCLC (3), MM (1), GC (2), RCC (1), HNSCC (1)		Nivolumab (8), pembrolizumab (5), ipilimumab (4)	135	0	3	5	0	8	
Fan et al27	60 [IQR: 57–65]	8 (38)	Bladder (2), breast (4), esophageal (2), GBM (2), gastric (2), liposarcoma (1), melanoma (3), NSCLC (3), ovarian (1), pancreatic (1)	Stage 4 (33)	CTLA-4 (20), CTLA-4 + PD-1/PD-L1 (3), PD-1/PD-L1 (16)	331	6		15		21	
Kitagataya et al28	67 [25–92]	9 (52.9)	Melanoma (5), lung (1), lymphoma (1), other (1)		Nivolumab (8), pembrolizumab (5), ipilimumab (4)	202	3	6	6	2	17	
Zheng et al29					Anti–PD-1/PD-L1 inhibitor	240	1	0	3	0	4	
Daniello et al30			NSCLC	Stage 4	Anti-PD(L)1 inhibitors	894	2	7	20	4	33	
Cheng et al31	63 [56–69]	3 (100)	Melanoma	Stage 4	Ipilimumab						3	
Pollack et al32			Melanoma	Stage 4	anti–PD-1 + ipilimumab		13		24		37	
De Martine et al33	63 [33–84]	7 (44)	Melanoma (12), bronchial (1), renal clear cell (1), bladder (1), cholangiocarcinoma (1)	Stage 4	Anti–PD-1/PD-L1 (9), anti-CTLA4 (7)	536	0	0	16		16	
Simonaggio et al34						159	0	4	8	5	17	
Imoto et al35	63 [49–69]	31 (63.6)				387	45		11		56	
Zen et al36	70 [59–74]	8 (80)	NSCLC (4), urothelial (3), merkel cell (1), melanoma (1), colon (1)	Stage 4	Pembrolizumab (6), atezolizumab (4)						10	
Riveiro-Barciela et al37	62.8 [IQR: 56.6–70.5]	14 (50)	NSCLC (21.4%), melanoma (17.9%), urothelial (14.3%)		Anti-CTLA4 (10), anti–PD-1/PD-L1 (18)	414	0	0	28		28	
Gauci et al38	52 [IQR: 47–67]	14 (66.7)	Melanoma	Stage 3 (5), Stage 4 (95)	Ipilimumab (7), nivolumab (3), pembrolizumab (1), ipilimumab + nivolumab (10)	339	0	0	10	11	21	
Patrinely, Jr. et al39	63	88 (53.7)	Lung (12), melanoma (138), renal (5), squamous cell (2), other (7)	Stage 4 (86)	Ipilimumab (7), ipilimumab + nivolumab (97), ipilimumab + pembrolizumab (3), nivolumab (19), pembrolizumab (34), other anti–PD-1/PD-L1 (4)	164	16	50	75	23	164	
Rini et al40			RCC	Stage 4	Pembrolizumab + axitinib (429), sunitinib (425)	861					125	
Lin et al41		34 (66.67)			Anti-PD1	1310	37		14		51	
Personeni et al42	71 [49–83]	5 (55.56)	HCC	BFTABLE
CLC stage B or C	Anti–PD-1/PD-L1 ± anti–CTLA–4 antibodies and/or targeted agents (including sorafenib, cabozantinib, and an investigational c-Met inhibitor)	58	0	0	9	0	9	
Purde et al43	61 [41–73]	6 (54.55)	NSCLC (6), melanoma (5)	Stage 4	Anti-PD1 (6), CTLA4 (1), anti-PD1 + CTLA4 (3)	135	6		4	1	11	
Ng et al44			HCC	Stage 4		168	12		12		24	
Riveiro-Barciela et al45	65 [IQR: 56–75]	11 (47.8)	NSCLC (7), Urinary tract (6), melanoma, (4), endometrial (2), HCC (1), cholangiocarcinoma (1), breast(1) chordoma (1)	Stage 3 (30%)
Stage 4 (70%)	Anti-PD1 or anti–PD-1/PD-L1 (18), anti–CTLA-4 ± anti-PD1 (4), CD40 agonist antibodies (1)		0	0	19	4	23	
Alomari et al46				Stage 4	Nivolumab (9), pembrolizumab (7), ipilimumab (1), avelumab (2), nivolumab and ipilimumab (4)	567	8	9	4	2	23	
Miah et al47	60 [IQR: 51.9–66.8]	30 (46.9)	Head and neck (2), melanoma (24), NSCLC + SCLC (9), RCC (7), Other (22)	Stage 4	PD1 or CTLA monotherapy (46), Combination PD-1 and CTLA-4 (13), other (5)	1096	30		34		64	
Hountondji et al48	63 [23–89]	63 (53.8)	Melanoma (49), lung (32), renal (16), urothelial (6), cutaneous and oral SCC (7), GI (3), HCC (2), hematological (1), pancreatic(1)	Stage 1-2 (29%)
Stage 3 (16%)
Stage 4 (54%)	Anti–PD-1 (62), anti–PD-L1 (8), anti–CTLA–4 (4), anti–PD-1 + anti–CTLA–4 (42), anti–PD-1 + anti-LAG-3 (1)	1058	4	17	73	23	117	
Matsukane et al49						1008	17	15	33		65	
Parlati et al50	62 [IQR: 48–73]	14 (40)	Melanoma (19), lymphoma (1), NSCLC (10), other (5)		Anti–PD-1 monotherapy (26), anti-PD1/anti-CTLA4 (9)		5	7	12	11	35	
Storm et al51	62.1 (16.7)	55 (56.7)	Head and neck (10), lung (13), skin (42), GI (5), GU (22), sarcoma (4), other (1)		Pembrolizumab (30), nivolumab (13), ipilimumab/nivolumab combination (43), cemiplimab (2), ipilimumab (5), atezolizumab (4)	2611		37	46	14	97	
Age is summarized in median (range), median [IQR Q1-Q3], mean (SD).

Abbreviations: cSCC, cutaneous squamous cell carcinoma; GBM, glioblastoma multiforme; GI, gastrointestinal; GU, genitourinary; HNSCC, head and neck squamous cell carcinoma; ICI, immune checkpoint inhibitor; MM, multiple myeloma; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; RCC, renal cell carcinoma; NSCLC, non-small cell lung cancer.

TABLE 2 Studies on steroid-refractory hepatitis (primary outcome: usage of second-line immunosuppressants)

Study	Total no. ICI hepatitis	No. received steroids	Steroid dose, duration	Side effects of steroid	Peak ALT levels, IU/L	Unit	
Romanski et al10	265	31	Cumulative dose of prednisolone (mg)
grade 2: 737.5 (375–6000)
grade 3: 2325 (575–5987.5)
grade 4: 4975 (1867.5–6000)			Median (range)	
Miller et al11	100	67	grade 3: 44 (25–71) days
grade 4: 90 (43–121) d		Anti–CTLA–4: 670 (310–2,574), anti–PD-1/PD-L1 482 (297–2946), combination 414 (300–2991)	Median (IQR)	
Smith et al12	32	31	Induction: mean 69 (23) (mg) prednisone—equivalent/d (adjusted for weight, mean dose of 0.86 mg/kg 0.21 mg/kg)			Mean (SD)	
Yamamoto et al13	21	13	CS 1 mg/kg (5), 0.7 mg/kg (2), 0.5 mg/kg (2), pulse (5) 10 mg (1)				
Owen et al15	12	10	1.8 (1.0–11.4) mo			Median (range)	
Li et al16	87	87	Initial mPSL ≥1.5 mg/kg
maximum CS dose 2.0 (2.0–2.0)
i.v. steroids 80 (92.0%)
60 (40–85) d until achieving a prednisone dose ≤10 mg	Infection 16 (18.4%), GI bleed 2 (2.3%), hyperglycemia requiring Tx 20 (23.3%), peak glucose 195 (154–286)	391 (248–606)	Median (IQR)	
Li et al16	128	128	Initial mPSL <1.5 mg/kg
maximum steroid dose 1.0 (1.0–1.3)
i.v. steroids 42 (32.8%)
44 (32–70) d until achieving a prednisone dose ≤10 mg	infection 9 (7.0%), GI bleed 3 (2.3%), hyperglycemia requiring Tx 10 (7.8%), peak glucose 166 (137–205)	314 (234–468)	Median (IQR)	
Cunningham et al17	17	15	DXA 4 mg (1), steroid 1.5 mg/kg i.v. (1), PDN 1 mg/kg (7), PDN taper (2), CS 2 mg/kg i.v. (3)
NA		217 (145–324)	Mean (95% CI)	
Sanz-Segura et al18	4	2	Oral CS 1 mg/kg/d				
Huffman et al20	17	16	Prednisone (14), dexamethasone (2), high-dose methylprednisolone (3)
42 (7–78) d		261 (IQR: 110–615)	Median (range)
Median (IQR)	
Cheung et al21	21	18	Dexamethasone (1), prednisolone (11), methylprednisolone (7)		610 (183–1088.5)	Median (IQR)	
Shimomura et al22	34	7	High-dose (≥0.5 mg/kg of prednisolone) (6), low-dose (<0.5 mg/kg of prednisolone) (1)				
Swanson et al23	2	1	6 wk				
de la Bruyère et al24	12	7	CS 1 mg/kg (3), ≥2 mg/kg (4)
42 (30–44) d			Median (IQR)	
Swanson et al25	6	3	CS 1 mg/kg (5), 0.7 mg/kg (2), 0.5 mg/kg (2), pulse (5) 10 mg (1)
28–77 d		415 [30–946]	Median (range)	
Fan et al27	21	17	Prednisone >1 mg/kg/d: 9
58 (14–111) d	Hyperglycemia (14, 82%), leukocytosis (7, 41%), infection (3, 18%), AMS, melena, venous thromboembolism		Median (IQR)	
Kitagataya et al28	17	4	PSL 2 mg/kg/d (2), 1 mg/kg/d (1), 1000 mg (1)		185.5 (61–2488)	Median (range)	
Zheng et al29	4	3	mPSL 2 mg/kg, i.v.
3 d				
Daniello et al30	33	27	Initial dose: 87 (92), average dose: 47 (37)
33 (27) d			Mean (SD)	
Cheng et al31	3	3	mPSL 1 g		372, 1211, 896		
De Martine et al33	16	10	Corticosteroid 0.2 mg/kg/d (2), 0.5 mg/kg/d (2), 1 mg/kg/d (5), 2.5 mg/kg/d (1)		460 (266–3137)	Median (range)	
Imoto et al35	56	4	mPSL 1000 mg/d (1), PSL 0.6 mg/kg/d (2), PSL 1 mg/kg/d (2)		58 (47–129)	Median (range)	
Zen et al36	10	10	PSL (50 mg/d) (3), PSL (40 mg/d) (3), predonisone (80 mg/d) (1), steroid mini pulse (mPSL, 500 mg/d, 3 d), followed by PSL (50 mg/d) (1), mPSL (1), PSL (1)		226 (93–504)	Median (IQR)	
Riveiro-Barciela et al37	28	28	Initial dose 60 (52–70) mg/d
2.3 (1.3–3.1) mo	Infection (2)	351 (208–910)	Median (IQR)	
Gauci et al38	21	13	1 [IQR: 1; 1] (0.3; 2) mg/kg/d
1.8 [IQR: 1.7; 3.5] (1.2–12.6) mo		663 [IQR: 422; 1380] (173–3537)	Median [IQR] (range)	
Patrinely, Jr. et al39	164	150	PDN or mPSL (147), DXA (1), hydrocortisone (2)|
Initially required low-dose steroids (<50 mg daily or <1 mg/kg) (20), required high-dose steroids (129)	Adrenal insuff (2), infection (7), GI (3), hyperglycemia/diabetes (22), insomnia (7), mood changes (7), muscle weakness/myalgias (3), osteoporosis (2), weight gain (3), others (6)			
Rini et al40	125	68	High-dose (≥ 40 mg/d of prednisone or equivalent) (61), low-dose (7)				
Lin et al41	51	8	Prednisone 0.5–2 mg/kg
3–6 wk				
Personeni et al42	9	3	Prednisone 1–2 mg/kg		Grade 3-4: 88 (13 –147)
grade 1-2: 37 (11–146)	Median (range)	
Purde et al43	11	6	80 (13–145) days		NA	Median (IQR)	
Riveiro-Barciela et al45	23	19	Prednisone (12), methylprednisone (7)
recurrence (n = 8) 63 (25)
non-recurrence (n = 15) 66 (18)
median (range) 8 wk (0.5–51 wk)		280 (188–438)	Median (IQR)
mean (SD)	
Alomari et al46	23	20	>4 wk (18) < 4 wk (2)				
Miah et al47	64	46	PDN (23), DXA (6), mPSL (4)
median 45 d (range: 21–120 d)				
Matsukane et al49	65	29	Low-dose (< 0.5 mg/kg PSL) (n = 93), moderate to high dose (0.5–2.0 mg/kg PSL) (n = 36), i.v. mPSL pulse therapy (500–1000 mg, 3 d) (n = 41)				
Abbreviations: CS, corticosteroid; DXA, dexamethasone; mPSL, methylprednisolone; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; PDN, prednisone; PSL, prednisolone.

TABLE 3 Studies on recurrence of immune checkpoint inhibitor hepatitis

Study	No. treated with steroids	No. treated with secondary immunosuppressants	No. rechallenged/recurrence	
Leroy et al8	2	1 (MMF)		
Luo et al9	6	5 (MMF)	1/0	
Romanski et al10	31	2 (MMF)		
Miller et al11	67	3 (MMF)	31/8	
Smith et al12	31	1 (infliximab)	17/3	
Yamamoto et al13	13	2 (MMF)		
Takinami et al14	6	2 (MMF)	3/0	
Owen et al15	10	1 (MMF, azathioprine)		
Li et al16	87	32		
Li et al16	128	29		
Cunningham et al17	15	1 (MMF)	7/1	
da Silva et al19	3		1/0	
Huffman et al20	16	2 (AZA 1 CsA 1)		
Cheung et al21	18	10 (infliximab 2 MMF 8 tacrolimus 1)	4/0	
de la Bruyère et al24	7	1	3/1	
Swanson et al (2022)	3	0	1/0	
Fan et al27	17	6 (MMF)		
Kitagataya et al28	4	2 (MMF)		
Zheng et al29	3	1 (MMF, gamma globulin)		
Daniello et al30	27	2		
Cheng et al31	3	0		
Pollack et al32	36	3 (MMF)	29/5	
De Martine et al33	10	1 (MMF)	3/1	
Simonaggio et al34	13	2 (MMF)	5/3	
Imoto et al35	4	3 (MMF 2, infliximab 1)		
Zen et al36	10	1 (MMF, AZA)		
Riveiro-Barciela et al37	28	10	6/0	
Gauci et al38	13	0	8/0	
Patrinely, Jr. et al39	150	37	66/17	
Rini et al40	68		100/45	
Personeni et al42	3		6/0	
Purde et al43	6	0	3/1	
Riveiro-Barciela et al45	19	2 (MMF)	23/8	
Miah et al47	46	3 (MMF, MMF+infliximab)	11/0	
Hountondji et al48	93	18 (MMF 17 rituximab 1)	51/12	
Matsukane et al49	29		33/8	
Parlati et al50	20		8/0	
Storm et al51	78	10 (MMF 9, other 1)	32/13	
Cunningham et al17	15	1 (MMF)	7/1	
da Silva et al19	3		1/0	
Huffman et al20	16	2 (AZA 1 CsA 1)		
Cheung et al21	18	10 (infliximab 2 MMF 8 tacrolimus 1)	4/0	
de la Bruyère et al24	7	1	3/1	
Swanson et al (2022)	3	0	1/0	
Fan et al27	17	6 (MMF)		
Kitagataya et al28	4	2 (MMF)		
Zheng et al29	3	1 (MMF, gamma globulin)		
Daniello et al30	27	2		
Cheng et al31	3	0		
Pollack et al32	36	3 (MMF)	29/5	
De Martine et al33	10	1 (MMF)	3/1	
Simonaggio et al34	13	2 (MMF)	5/3	
Imoto et al35	4	3 (MMF 2, infliximab 1)		
Zen et al36	10	1 (MMF, AZA)		
Riveiro-Barciela et al37	28	10	6/0	
Gauci et al38	13	0	8/0	
Patrinely, Jr. et al39	150	37	66/17	
Rini et al40	68		100/45	
Personeni et al42	3		6/0	
Purde et al43	6	0	3/1	
Riveiro-Barciela et al45	19	2 (MMF)	23/8	
Miah et al47	46	3 (MMF, MMF + infliximab)	11/0	
Hountondji et al48	93	18 (MMF 17 rituximab 1)	51/12	
Matsukane et al49	29		33/8	
Parlati et al50	20		8/0	
Storm et al51	78	10 (MMF 9, other 1)	32/13	
Abbreviations: AZA, azathioprine; CsA, cyclosporine; MMF, mycophenolate mofetil.

Baseline characteristics

A total of 1856 patients with ICI hepatitis were included. Five hundred ninety (31.7%) of the patients developed grade 1-2 hepatitis, and 1,043 (56.0%) of the patients developed grade 3-4 hepatitis.

The prevalence of ICI hepatitis in our study was 6.38% (1856 cases out of 29,112 patients who received an ICI). The estimated median age of patients with ICI hepatitis was 63 (range: 21–90), with 55.7% (692 out of 1243) of male patients in advanced stages of cancer, stages 3 and 4. Ten studies were conducted in Asia, 13 studies were conducted in North America, 17 studies in Europe, 1 in Australia, and 3 studies were multinational. ICI included in the study were anti-PD1 nivolumab, pembrolizumab, cemiplimab; anti–PD-L1 atezolizumab, durvalumab; and anti-CTLA4 ipilimumab. Combination therapies consist of ipilimumab and nivolumab, ipilimumab and pembrolizumab. 37.52% (454 out of 1218) of patients were treated with combination therapy, and 62.48% (756 out of 1218) of patients were treated with monotherapy. Two hundred eighteen (38.05%) of the patients experienced disease progression regarding ICI, while 355 (61.95%) of the patients experienced stable disease or response from the ICI.

Steroid as a first-line treatment of ICI hepatitis

One thousand one hundred eighty-four patients out of a total of 1864 patients received corticosteroid treatment Table 2. The duration of treatment varied considerably across the studies, ranging from 3 to 361 days. Similarly, there was substantial variation in dosage, from oral prednisone at 0.5 mg/kg to i.v. methylprednisolone at 2 mg/kg. In total, 32 studies reported on steroid-refractory cases that necessitated the use of second-line immunosuppressants. Mycophenolate mofetil was the predominant agent used in 68 out of 82 cases (82.9%). Other treatments included infliximab in 5 out of 82 cases (6.1%), azathioprine in 3 out of 82 cases (3.7%), and 1 case each for rituximab, gamma globulin, tacrolimus, and cyclosporine. A summary estimate of the proportion of steroid-refractory hepatitis in a random effects model was 16% (95% CI: 11%–23%) (Figure 2). There was moderate heterogeneity (I 2 = 60%) in the analysis. The funnel plot (Supplemental Figure S1, http://links.lww.com/HC9/B40) showed no visual asymmetry, and statistical analysis showed no evidence of publication bias (p < 0.001). Subgroup analyses based on the country of origin did not demonstrate statistically significant differences in the proportion of patients requiring additional immunosuppressants (chi-square 5.71, df = 3, p = 0.13) (Supplemental Figure S3, http://links.lww.com/HC9/B40) and there was no statistically significant association with the publication year (coefficient = −0.031, p = 0.784) (Supplemental Figure S5, http://links.lww.com/HC9/B40).

FIGURE 2 Forest plot of the proportion of steroid-refractory ICI hepatitis. Abbreviation: ICI, immune checkpoint inhibitor.

The proportion of patients requiring additional immunosuppressants was not statistically associated with percentage of combination ICI therapy (coefficient = −0.461, p = 0.546) or percentage of grade 3-4 hepatitis (coefficient = 0.03, p = 0.976).

An estimated 23% (95% CI: 15%–35%) of the patients with ICI hepatitis did not receive any steroids, correlated with the proportion of grade 1-2 hepatitis in the cohort (coefficient = 3.22, p < 0.001) (Supplemental Figure S2, http://links.lww.com/HC9/B40). The most common side effects of steroid treatment were infection (11.6%, 38 out of 329 cases) and hyperglycemia (20.1%, 66 out of 329 cases). Other side effects reported were gastrointestinal bleeding, altered mental status, mood changes, muscle weakness or myalgia, and osteoporosis.

ICI rechallenge

After the resolution of ICI hepatitis or improvement to grade 1 hepatitis, patients were rechallenged with the ICI based on clinical judgment Table 3. An estimated 40% (95% CI: 30%–51%) of patients of all patients with ICI hepatitis were rechallenged with an ICI, and of those rechallenged (Figure 3A), there was an estimated 22% (95% CI: 15%–30%) recurrence (Figure 3B). There was high heterogeneity (I 2 = 81.8%) in the proportion of patients rechallenged out of the total patients with ICI hepatitis. The funnel plot analysis showed no evidence of publication bias (p < 0.001) for this outcome. Previously developing advanced ICI hepatitis (grade 3-4) did not have a significant association with the proportion of patients rechallenged (coefficient = 0.197, p = 0.848) nor the recurrence of ICI hepatitis (coefficient = 0.449, p = 0.553).

FIGURE 3 (A) Proportion of patients who were rechallenged with an ICI. (B) Proportion of ICI recurrences in patients who were rechallenged. Abbreviation: ICI, immune checkpoint inhibitor.

DISCUSSION

Steroid treatment was the primary intervention in over 75% of patients with ICI hepatitis while 16% of the patients who received steroids required a secondary immunosuppressant in management. An estimated 23% of patients, mostly with grades 1-2 hepatitis, did not require any intervention. Of those who were rechallenged with an ICI, only 22% of the patients experienced a recurrence of ICI hepatitis. Steroids are the treatment of choice given that it is considered that high-dose glucocorticoids do not interfere with the antitumor response of ICIs but there are also controversial studies against this.1,53

Current AGA guidelines suggest liver monitoring for grade 1 hepatitis, ICI discontinuation for grade 2 and higher, and if the patient is symptomatic of liver toxicity, an equivalent of prednisone 0.5–1.0 mg/kg/d should be administered for grade 2 hepatitis. For grade 3 hepatitis, initiation of an equivalent of 1–2 mg/kg of methylprednisone is recommended, and a second-line immunomodulator such as an azathioprine or mycophenolate mofetil can be considered if there is no clinical improvement in 3–5 days. For grade 4 hepatitis, permanent discontinuation of ICI and initiation of an equivalent of 2 mg/kg/d of methylprednisone is recommended.5 Third-line immunosuppressive therapy brought into consideration is anti-thymocyte globulin for ipilimumab-induced hepatitis or tacrolimus, whereas infliximab is not recommended.4

Several studies included in our analysis asserted that there is greater risk than benefit in the use of high-dose steroids compared to low-dose steroids and association with poor survival.9,16,22,27,49 This can be interpreted by 3 hypotheses: (1) patients who are treated with high-dose steroids have more advanced hepatitis; (2) patients with advanced cancer treated with ICIs are at higher risk for side effects of immunosuppression, especially infection; and (3) high-dose steroids compromise the effectiveness of ICIs. Li et al16 compared 87 patients in the ≥1.5 mg/kg methylprednisone equivalent group and 128 patients in the <1.5 mg/kg group with grade 3-4 ICI hepatitis and reported that there was no difference in the development of steroid-refractory hepatitis but longer exposure and higher incidence of infection. However, the high-dose steroid group also had a higher percentage of ipilimumab and nivolumab combination therapy, which can contribute to a higher risk of disease.16 Corticosteroids can inhibit the antitumor immune response of ICIs by suppressing low-affinity memory T cells, particularly in a higher dose and earlier administration timing.54

Anti–CTLA–4 mAbs have been associated with a higher incidence of ICI hepatitis compared to anti-PD1/anti–PD-L1 mAbs, and combination therapy was considered a higher risk than monotherapy, although our study did not demonstrate a statistically significant relationship.10,17,47 Several studies have suggested that specific histopathologic patterns may correlate with the type of ICI used. Furthermore, these studies indicate that treatment responses may vary based on the characteristic histopathologic pattern of ICI hepatitis. De Martin et al33 observed a more prevalent pattern of granulomatous hepatitis with anti–CTLA–4 mAbs and a more heterogeneous pattern, mainly lobular hepatitis in anti–PD-1/PD-L1 mAbs. Different histopathologic patterns were also associated with different treatment responses. A study of 20 biopsied patients reported that patients with an acute granulomatous profile defined by the presence of granulomas or acute hepatitis with a toxic profile defined by the presence of eosinophilic polynuclear cells had a better response to corticosteroids, whereas patients with a cholangitic lesion with recorded bile duct lesions had a worse response.50

As a second-line immunomodulator, mycophenolate mofetil was used in the majority of cases refractory to steroids. Interestingly, infliximab, which was not recommended in the AGA guidelines due to potential idiosyncratic liver injury, was the second-line drug of choice in 5 cases and azathioprine in 3 cases.5 Mycophenolate mofetil is a purine antagonist that inhibits the proliferation and activation of both T and B lymphocytes and has been used as a second-line agent for steroid-refractory autoimmune hepatitis.55–57 Azathioprine, traditionally the first-line steroid-sparing agent for autoimmune hepatitis, is less favored in ICI treatment. This is due to its slow onset of immunosuppressive effect, which can take several months to reach peak efficacy. In addition, azathioprine’s metabolites can potentially cause hepatotoxicity, further complicating its use in patients already experiencing liver inflammation.31,58 While the selection of second-line immunomodulators originates from agents used to manage autoimmune hepatitis, it is worth noting that ICI hepatitis exhibits distinct characteristics compared to autoimmune hepatitis, including analytic factors such as lower levels of gammaglobulins, immunoglobulin G, and ANAs.37

Diagnosis and management of ICI hepatitis are challenging in that it is a distinct etiology that is a DILI but also has components of immunological characteristics. ICI hepatitis is a clinical diagnosis of exclusion, and certain adjunctive parameters, such as the RUCAM score, were used to assist in determining whether hepatitis is a DILI.59 Also, as the majority of studies for ICI hepatitis are conducted on patients with advanced cancer, such as patients with stage 4 melanoma or non–small cell lung cancer, hepatic metastases can be a confounding factor in the evaluation of ICI hepatitis.10,25

ICIs were rechallenged after resolution or improvement to grade 1 hepatitis in an estimated 40% of the cases. Recurrence of ICI hepatitis was present in 22% of all rechallenged cases, mainly in anti–PD-1/PD-L1 agents, and was noted to be not as severe as the initial event.34,45,48 Hountondji et al48 suggested that rechallenge was even possible after grade 3-4 hepatitis. ICI rechallenge is important because patients at advanced cancer stage have limited options for treatment and because irAEs, including ICI hepatitis, have been associated with improved antitumor efficacy and overall survival.44,46,47,60 Our findings suggest that rechallenge of ICIs should be reconsidered more frequently after successful treatment of ICI hepatitis. Two studies compared the outcome between patients who underwent ICI rechallenge and those who did not; Simonaggio et al34 found no significant difference in median progression-free survival time between the rechallenged and non-rechallenged groups, including irAE from other systems. Similarly, Miah et al47 reported no difference in best overall response or time to death between these groups. However, these findings need to be interpreted cautiously due to the potential for substantial selection bias based on the severity and treatment response of ICI hepatitis. It is also critical that rechallenge would often involve a different regimen, such as switching the class from anti-CTLA4 to anti-PD (L)1 therapy or de-escalation from combination therapy to monotherapy.11,14,21,37,38,48,51

Our study is the first meta-analysis to quantify the prognosis and treatment response of ICI hepatitis with steroid treatment as the primary treatment. However, our study also had several limitations. First, the variability in the dosage and duration of steroids were high between studies, and it could have been an overgeneralization in estimating the effect of steroids on whether patients received steroid treatment or not. Second, not all studies reported patient characteristics we considered important. For example, while earlier studies provided the detailed dosage and regimen of ICI therapy, most recent studies only included broad categories of ICI therapy used, potentially introducing greater heterogeneity into the analysis. Lastly, although we determined that this is minimal in our study, there is still a possibility of publication bias.

CONCLUSIONS

Our meta-analysis reveals that corticosteroids remain the primary treatment for ICI hepatitis, with mycophenolate mofetil serving as a secondary option in steroids-refractory cases. ICI rechallenge resulted in recurrence in approximately one-fifth of the cases, typically with less severe presentations. However, current practices largely rely on expert consensus, highlighting the need for prospective studies on key areas. These include establishing standardized steroid treatment protocols, evaluating the efficacy of mycophenolate mofetil in steroid-refractory cases, and assessing the safety and efficacy of ICI rechallenge following ICI hepatitis.

Supplementary Material

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author.

CONFLICTS OF INTEREST

The authors have no conflicts to report.

Abbreviations: CTCAE, Common Terminology Criteria for Adverse Events, Version 5; ICI, immune checkpoint inhibitor; irAE, immune-related adverse event; NOS, Newcastle–Ottawa Scale; ULN, upper limit of normal.

Supplemental Digital Content is available for this article. Direct URL citations are provided in the HTML and PDF versions of this article on the journal’s website, www.hepcommjournal.com.
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REFERENCES

1 Johnson DB Nebhan CA Moslehi JJ Balko JM . Immune-checkpoint inhibitors: Long-term implications of toxicity. Nat Rev Clin Oncol. 2022;19 :254–267.35082367
2 Sullivan RJ Weber JS . Immune-related toxicities of checkpoint inhibitors: Mechanisms and mitigation strategies. Nat Rev Drug Discov. 2022;21 :495–508.34316029
3 Romão R Mendes AS Ranchor R Ramos MJ Coelho J Pichel RC . Impact of immune-related adverse events on immune checkpoint inhibitors treated cancer patients’ survival: single center experience and literature review. Cancers. 2023;15 :888.36765845
4 Haanen JBAG Carbonnel F Robert C Kerr KM Peters S Larkin J . Management of toxicities from immunotherapy: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28 :iv119–iv142.28881921
5 Dougan M Wang Y Rubio-Tapia A Lim JK . AGA clinical practice update on diagnosis and management of immune checkpoint inhibitor colitis and hepatitis: Expert review. Gastroenterology. 2021;160 :1384–1393.33080231
6 Institute NC. Common Terminology Criteria for Adverse Events (CTCAE) v5.0. 2017. Accessed May 2024. https://ctep.cancer.gov/protocoldevelopment/electronic_applications/docs/CTCAE_v5_Quick_Reference_5x7.pdf
7 Julian PTH Simon GT Jonathan JD Douglas GA . Measuring inconsistency in meta-analyses. BMJ. 2003;327 :557.12958120
8 Leroy V Gerard E Dutriaux C Prey S Gey A Mertens C . Adverse events need for hospitalization and systemic immunosuppression in very elderly patients (over 80 years) treated with ipilimumab for metastatic melanoma. Cancer Immunol Immunother. 2019;68 :545–551.30661086
9 Luo J Beattie JA Fuentes P Rizvi H Egger JV Kern JA . Beyond steroids: Immunosuppressants in steroid-refractory or resistant immune-related adverse events. J Thoracic Oncol. 2021;16 :1759–1764.
10 Romanski NA Holmstroem RB Ellebaek E Svane IM . Characterization of risk factors and efficacy of medical management of immune-related hepatotoxicity in real-world patients with metastatic melanoma treated with immune checkpoint inhibitors. Eur J Cancer. 2020;130 :211–218.32229418
11 Miller ED Abu-Sbeih H Styskel B Nogueras Gonzalez GM Blechacz B Naing A . Clinical characteristics and adverse impact of hepatotoxicity due to immune checkpoint inhibitors. Am J Gastroenterol. 2020;115 :251–261.31789632
12 Smith MK Chan Y Suo AE Shaheen AA Congly SE Tandon P . Clinical course and treatment implications of combination immune checkpoint inhibitor-mediated hepatitis: A multicentre cohort. J Can Assoc Gastroenterol. 2022;5 :39–47.35118226
13 Yamamoto A Yano Y Ueda Y Yasutomi E Hatazawa Y Hayashi H . Clinical features of immune-mediated hepatotoxicity induced by immune checkpoint inhibitors in patients with cancers. J Cancer Res Clin Oncol. 2021;147 :1747–1756.33222015
14 Takinami M Ono A Kawabata T Mamesaya N Kobayashi H Omori S . Comparison of clinical features between immune-related sclerosing cholangitis and hepatitis. Investig New Drugs. 2021;39 :1716–1723.34046801
15 Owen CN Bai X Quah T Lo SN Allayous C Callaghan S . Delayed immune-related adverse events with anti-PD-1-based immunotherapy in melanoma. Ann Oncol. 2021;32 :917–925.33798657
16 Li M Wong D Vogel AS Sack JS Rahma OE Hodi FS . Effect of corticosteroid dosing on outcomes in high-grade immune checkpoint inhibitor hepatitis. Hepatology. 2022;75 :531–540.34709662
17 Cunningham M Iafolla M Kanjanapan Y Cerocchi O Butler M Siu LL . Evaluation of liver enzyme elevations and hepatotoxicity in patients treated with checkpoint inhibitor immunotherapy. PLoS One. 2021;16 :e0253070.34115819
18 Sanz-Segura P García-Cámara P Fernández-Bonilla E Arbonés-Mainar JM Bernal Monterde V . Gastrointestinal and liver immune-related adverse effects induced by immune checkpoint inhibitors: A descriptive observational study. Gastroenterol Hepatol. 2021;44 :261–268.33153772
19 da Silva JA Falcão D Cardoso C Pires AL Araújo A Castro-Poças F . Hepatic immune-mediatedadverseeffects of immune checkpoint inhibitors: Analysis of real-life experience. Ann Hepatol. 2021;26 . doi:10.1016/j.aohep.2021.100561
20 Huffman BM Kottschade LA Kamath PS Markovic SN . Hepatotoxicity after immune checkpoint inhibitor therapy in melanoma: Natural progression and management. Am J Clin Oncol. 2018;41 :760–765.28749795
21 Cheung V Gupta T Payne M Middleton MR Collier JD Simmons A . Immunotherapy-related hepatitis: Real-world experience from a tertiary centre. Frontline Gastroenterol. 2019;10 :364–371.31656561
22 Shimomura K Yamaguchi T Oya Y Uchida K Murotani K . Impact of corticosteroids for IrAEs on the clinical outcome of immunotherapy in patients with NSCLC. Anticancer Res. 2022;42 :5961–5969.36456164
23 Swanson L Kassab I Tsung I Worden FP Fontana RJ . Infrequent liver injury from cemiplimab in patients with advanced cutaneous squamous cell carcinoma. Immunotherapy. 2022;14 :409–418.35232282
24 Bruyère CL Souquet PJ Dalle S Corbaux P Boespflug A Duruisseaux M . Investigating the impact of immune-related adverse events, glucocorticoid use and immunotherapy interruption on long-term survival outcomes. Cancers. 2021;13 :2365.34068892
25 Swanson LA Kassab I Tsung I Schneider BJ Fontana RJ . Liver injury during durvalumab-based immunotherapy is associated with poorer patient survival: A retrospective analysis. Front Oncol. 2022;12 :984940.36353563
26 Sawada K Hayashi H Nakajima S Hasebe T Fujiya M Okumura T . Non-alcoholic fatty liver disease is a potential risk factor for liver injury caused by immune checkpoint inhibitor. J Gastroenterol Hepatol. 2020;35 :1042–1048.31752049
27 Fan C Kim A Li S Naidoo J Cappelli LC Brahmer JR . Outcomes of immunotherapy-related hepatotoxicity from a multi-disciplinary toxicity team. J Cancer Res Clin Oncol. 2023;149 :877–883.36102989
28 Kitagataya T Suda G Nagashima K Katsurada T Yamamoto K Kimura M . Prevalence, clinical course, and predictive factors of immune checkpoint inhibitor monotherapy-associated hepatitis in Japan. J Gastroenterol Hepatol. 2020;35 :1782–1788.32187734
29 Zheng J Cui T Gao Y Li T . Retrospective analysis of immune-related adverse events of the immune checkpoint inhibitors of PD-1/PD-l1 in the Fujian provincial hospital. Eur J Inflamm. 2022;20 :1721727X2210915. doi:10.1177/1721727X221091540
30 Daniello L Elshiaty M Bozorgmehr F Kuon J Kazdal D Schindler H . Therapeutic and prognostic implications of immune-related adverse events in advanced non-small-cell lung cancer. Front Oncol. 2021;11 :703893.34268127
31 Cheng R Cooper A Kench J Watson G Bye W McNeil C . Ipilimumab-induced toxicities and the gastroenterologist. J Gastroenterol Hepatology. 2015;30 :657–666.
32 Pollack MH Betof A Dearden H Rapazzo K Valentine I Brohl AS . Safety of resuming anti-PD-1 in patients with immune-related adverse events (irAEs) during combined anti-CTLA-4 and anti-PD1 in metastatic melanoma. Ann Oncol. 2018;29 :250–255.29045547
33 De Martin E Michot JM Papouin B Champiat S Mateus C Lambotte O . Characterization of liver injury induced by cancer immunotherapy using immune checkpoint inhibitors. J Hepatol. 2018;68 :1181–1190.29427729
34 Simonaggio A Michot JM Voisin AL Le Pavec J Collins M Lallart A . Evaluation of readministration of immune checkpoint inhibitors after immune-related adverse events in patients with cancer. JAMA Oncol. 2019;5 :1310–1317.31169866
35 Imoto K Kohjima M Hioki T Kurashige T Kurokawa M Tashiro S . Clinical features of liver injury induced by immune checkpoint inhibitors in Japanese patients. Can J Gastroenterol Hepatol. 2019;2019 :6391712.31929981
36 Zen Y Chen YY Jeng YM Tsai HW Yeh MM . Immune-related adverse reactions in the hepatobiliary system: Second-generation check-point inhibitors highlight diverse histological changes. Histopathology. 2020;76 :470–480.31550390
37 Riveiro‐Barciela M Barreira‐Díaz A Vidal‐González J Muñoz‐Couselo E Martínez‐Valle F Viladomiu L . Immune-related hepatitis related to checkpoint inhibitors: Clinical and prognostic factors. Liver Int. 2020;40 :1906–1916.32329119
38 Gauci ML Baroudjian B Bédérède U Zeboulon C Delyon J Allayous C . Severe immune-related hepatitis induced by immune checkpoint inhibitors: Clinical features and management proposal. Clin Res Hepatol Gastroenterol. 2021;45 :101491.32773362
39 Patrinely JR Jr McGuigan B Chandra S Fenton SE Chowdhary A Kennedy LB . A multicenter characterization of hepatitis associated with immune checkpoint inhibitors. Oncoimmunology. 2021;10 :1875639.33628621
40 Rini BI Atkins MB Plimack ER Soulières D McDermott RS Bedke J . Characterization and management of treatment-emergent hepatic toxicity in patients with advanced renal cell carcinoma receiving first-line pembrolizumab plus axitinib. Results from the KEYNOTE-426 Trial. Eur Urol Oncol. 2022;5 :225–234.34244116
41 Lin Z Zhang X Zhou Y Chen C He L Li H . Hepatotoxicity associated with PD-1 blockade antibodies in cancer patients co-infected with hepatitis B virus. Cancer Immunol Immunother. 2022;71 :1247–1255.34647153
42 Personeni N Pressiani T D’Alessio A Prete MG Bozzarelli S Terracciano L . Hepatotoxicity in patients with hepatocellular carcinoma on treatment with immune checkpoint inhibitors. Cancers (Basel). 2021;13 :5665. doi:10.3390/cancers13225665 34830823
43 Purde MT Niederer R Wagner NB Diem S Berner F Hasan Ali O . Presence of autoantibodies in serum does not impact the occurrence of immune checkpoint inhibitor-induced hepatitis in a prospective cohort of cancer patients. J Cancer Res Clin Oncol. 2022;148 :647–656.34874490
44 Ng KYY Tan SH Tan JJE Tay DSH Lee AWX Ang AJS . Impact of immune-related adverse events on efficacy of immune checkpoint inhibitors in patients with advanced hepatocellular carcinoma. Liver Cancer. 2022;11 :9–21.35222504
45 Riveiro-Barciela M Barreira-Díaz A Callejo-Pérez A Muñoz-Couselo E Díaz-Mejía N Díaz-González Á . Retreatment with immune checkpoint inhibitors after a severe immune-related hepatitis: Results from a prospective multicenter study. Clin Gastroenterol Hepatol. 2023;21 :732–740.35487453
46 Alomari M Al Ashi S Chadalavada P Khazaaleh S Covut F Al Momani L . Gastrointestinal toxicities of immune checkpoint inhibitors are associated with enhanced tumor responsiveness and improved survival. Gastroenterology Res. 2022;15 :56–66.35572476
47 Miah A Tinoco G Zhao S Wei L Johns A Patel S . Immune checkpoint inhibitor-induced hepatitis injury: risk factors, outcomes, and impact on survival. J Cancer Res Clin Oncol. 2023;149 :2235–2242.36070148
48 Hountondji L Ferreira De Matos C Lebossé F Quantin X Lesage C Palassin P . Clinical pattern of checkpoint inhibitor-induced liver injury in a multicentre cohort. JHEP Rep. 2023;5 :100719.37138674
49 Matsukane R Suetsugu K Hata K Matsuda K Nakao S Minami H . Systematic surveillance of immune-related adverse events in clinical practice and impact of subsequent steroid medication on survival outcomes. Int J Clin Oncol. 2023;28 :860–871.37169946
50 Parlati L Marcin K Terris B Vallet-Pichard A Corouge M Hollande C . Histological characteristics and management of hepatitis on immune checkpoint inhibitors: A retrospective descriptive study. J Clin Med. 2023;12 :3751. doi:10.3390/jcm12113751 37297945
51 Storm EM Makrakis D Lin GI Talukder R Bakaloudi DR Shah EE . Role of underlying liver pathology in the development of immune-related hepatitis: A case–control study. Targeted Oncology. 2023;18 :601–610.37358780
52 Page MJ McKenzie JE Bossuyt PM Boutron I Hoffmann TC Mulrow CD . The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372 :n71.33782057
53 Bai X Hu J Betof Warner A Quach HT Cann CG Zhang MZ . Early use of high-dose glucocorticoid for the management of irAE is associated with poorer survival in patients with advanced melanoma treated with anti–PD-1 monotherapy. Clin Cancer Res. 2021;27 :5993–6000.34376536
54 Tokunaga A Sugiyama D Maeda Y Warner AB Panageas KS Ito S . Selective inhibition of low-affinity memory CD8(+) T cells by corticosteroids. J Exp Med. 2019;216 :2701–2713.31537643
55 Mir R Shaw HM Nathan PD . Immunosuppressive agents and their role in managing immunotherapy toxicities in melanoma. Clin Skin Cancer. 2017;2 :18–23.
56 Kadokawa Y Inoue S Tatsumi A Uchida M Fujita K Takagi M . Efficacy and safety of mycophenolate mofetil in treating immune-related hepatitis induced by immune checkpoint inhibitor use: A retrospective study. JGH Open. 2023;7 :87–97.36852148
57 Heneghan MA McFarlane IG . Current and novel immunosuppressive therapy for autoimmune hepatitis. Hepatology. 2002;35 :7–13.11786954
58 Remash D Prince DS McKenzie C Strasser SI Kao S Liu K . Immune checkpoint inhibitor-related hepatotoxicity: A review. World J Gastroenterol. 2021;27 :5376–5391.34539139
59 LiverTox: Clinical and Research Information on Drug-Induced Liver Injury [Internet]. Bethesda (MD): National Institute of Diabetes and Digestive and Kidney Diseases; 2012-. Roussel Uclaf Causality Assessment Method (RUCAM) in Drug Induced Liver Injury. Accessed May 4, 2019. https://www.ncbi.nlm.nih.gov/books/NBK548272/
60 Okada N Kawazoe H Takechi K Matsudate Y Utsunomiya R Zamami Y . Association between immune-related adverse events and clinical efficacy in patients with melanoma treated with nivolumab: A multicenter retrospective study. Clin Ther. 2019;41 :59–67.30528047
