Literature DB >> 27729774

Incidence and risk of hepatic toxicities with PD-1 inhibitors in cancer patients: a meta-analysis.

Xi Zhang1, Yuge Ran1, Kunjie Wang2, Yuanxue Zhu2, Jinghua Li3.   

Abstract

PURPOSE: Anti-programmed cell death receptor-1 (PD-1) antibodies have demonstrated antitumor activity in many cancer entities. Hepatic adverse events (AEs) are one of its major side effects, but the overall risks have not been systematically evaluated. Thus, we conducted this meta-analysis to investigate the overall incidence and risk of developing hepatic AEs in cancer patients treated with PD-1 inhibitors.
METHODS: PubMed, Embase, and oncology conference proceedings were searched for relevant studies. Eligible studies were randomized controlled trials of cancer patients treated with PD-1 inhibitors with adequate data on hepatic AEs.
RESULTS: A total of nine randomized controlled trials with a variety of solid tumors were eligible for the meta-analysis. The use of PD-1 inhibitors significantly increased the risk of developing all-grade hepatic AEs but not for high-grade hepatic AEs in comparison with chemotherapy or everolimus control. Additionally, the risk of all-grade and high-grade hepatic AEs with a nivolumab/ipilimumab combination was substantially higher than ipilimumab. No significant differences in the risk of all-grade and high-grade hepatic AEs were found between PD-1 inhibitors monotherapy and ipilimumab.
CONCLUSION: While the use of PD-1 inhibitors is associated with an increased risk of developing hepatic AEs in cancer patients, this is primarily for lower grade events.

Entities:  

Keywords:  PD-1 inhibitors; cancer; hepatic toxicities; meta-analysis

Mesh:

Substances:

Year:  2016        PMID: 27729774      PMCID: PMC5047728          DOI: 10.2147/DDDT.S115493

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Program death 1 (PD-1) and its ligand (PD-L1) have been identified as potential therapeutic targets for solid and hematologic malignancies in recent years. PD-1 is an inhibitory receptor, which prevents overactivation of T-cells and thus prevents autoimmunity by promoting tolerance to self-antigens and to limit damage to normal tissues. PD-1 and its ligands (PD-L1 and PD-L2) have been noted as critical mediators of immunosuppression within the tumor microenvironment.1,2 Tumor cells can suppress the activity of T-cells in tissues and the tumor microenvironment by binding PD-L1 to PD-1 on the T-cells to evade immune destruction.3 Recently, several antibodies that inhibit the interaction between PD-L1 and PD-1 have demonstrated durable efficacy in a number of solid and hematologic malignancies.4–7 Nivolumab is a fully human monoclonal immunoglobulin G4 anti-PD-1 antibody that has been approved for the treatment of unresectable or metastatic melanoma, advanced non-small-cell lung cancer, and advanced renal cell carcinoma.7–11 Pembrolizumab is another human PD-1-blocking antibody indicated for the treatment of patients with unresectable or metastatic melanoma.12 Moreover, it is being extensively evaluated as a single agent and as a combination with other therapeutic agents in many advanced refractory solid tumors.13 Other antibodies targeting the PD-1/PD-L1 checkpoint in the phase of development include atezolizumab and durvalumab, which have also shown activity against many solid malignancies.14–16 However, the very specific mechanism of action of those new medicines brings about some specific immunological adverse event (AE) profiles, which is different from toxicities known for cytotoxic drugs or kinase inhibitors.17 For instance, many clinical trials have shown that these side effects affect skin, lung, gastrointestinal tract, liver, endocrine system, and other organ systems.9–11 Hepatic AEs mainly manifest as asymptomatic increase of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels.18 The contribution of anti-PD-1 therapy to the development of hepatic AEs is difficult to assess as individual randomized controlled trials (RCTs) may be not powered to detect a significant relationship. Although a meta-analysis has shown that the use of immune checkpoint inhibitors has a causal relationship to an increased risk of high-grade (grade 3 or 4) elevated ALT and AST,19 most RCTs included in the analysis evaluated anti-CTLA-4 monoclonal antibodies and only three RCTs evaluated anti-PD-1 antibody (nivolumab), thus the contributions of anti-PD-1 therapy to hepatic AEs are still unclear. As a result, we conducted a meta-analysis of all published RCTs to determine the incidence and risk of hepatic AEs associated with the use of PD-1 inhibitors in cancer patients.

Methods

Data sources

This meta-analysis was performed according to the PRISMA (Preferred Reporting Items for Systemic Reviews and Meta-Analyses) recommendations.20 A literature review of PubMed (data from January 2000 to May 2016) and Embase (data from January 2000 to May 2016) was conducted to identify relevant clinical trials. The search was conducted using keywords “nivolumab”, “pembrolizumab”, “cancer”, and “trials”. The search was limited to RCTs published in English. Additionally, we searched abstracts presented at the annual meetings of the American Society of Clinical Oncology and the European Society of Medical Oncology annual meetings. Moreover, the references cited by the included studies were also used to complete the search. Each publication was reviewed, and in cases of multiple publications of the same clinical trial were encountered, only the most complete, recent, and updated report of clinical trials was included in the meta-analysis.

Study selection

The primary objective of this analysis was to determine the overall incidence and relative risk (RR) of hepatic AEs associated with PD-1 inhibitors. Thus, Phase I and nonrandomized Phase II trials were excluded from the analysis due to lack of sufficient controls. The relevant clinical trials were selected carefully based on the following criteria: 1) prospective RCTs evaluating patients with solid tumors, 2) patients were allocated to treatment with PD-1 inhibitors (nivolumab 3 mg/kg, pembrolizumab 2 mg/kg or 10 mg/kg) or control (chemotherapy or everolimus or ipilimumab), and 3) available data regarding events or event rate and sample size of all-grade and high-grade hepatic AEs.

Data extraction and clinical end point

The data abstraction was conducted by two authors independently, and discrepancies were resolved by consensus. For each study, the following details were extracted: the name of first author, year of publication, trial phase, cancer type, treatment arms and control arms, and patients included for analysis. The following outcomes were considered as hepatic AEs: elevated ALT and elevated AST. AEs of all grade and high grade were defined according to the National Cancer Institute’s common toxicity criteria (Version 4.0; http://ctep.cancer.gov) (Table 1). Study quality of RCTs was assessed according to the Jadad scale including randomization, blinding, and withdrawals.21
Table 1

Baseline characteristics of six trials comparing PD-1 inhibitors to chemotherapy or everolimus

StudyPhaseUnderlying malignancyTreatment armControl armTreatment armControl armCTC versionJadad score
Borghaei et al9IIINSCLCNivolumab 3 mg/kg every 2 weeksDocetaxel2872684.03
Brahmer et al10IIINSCLCNivolumab 3 mg/kg every 2 weeksDocetaxel1311294.03
Robert et al25IIIMelanomaNivolumab 3 mg/kg every 2 weeksDacarbazine2062054.05
Weber et al7IIIMelanomaNivolumab 3 mg/kg every 2 weeksInvestigator’s choice of chemotherapy2681024.03
Motzer et al11IIIRCCNivolumab 3 mg/kg every 2 weeksEverolimus4063974.03
Herbst et al5II/IIINSCLCPembrolizumab 2 mg/kg every 3 weeksDocetaxel3393094.03
Pembrolizumab 10 mg/kg every 3 weeksDocetaxel343

Abbreviations: PD-1, program death 1; CTC, common toxicity criteria; NSCLC, non-small-cell lung cancer; RCC, renal cell carcinoma.

Statistical analysis

The number of hepatic AEs and the total number of patients receiving PD-1 inhibitors were extracted from the safety profiles of all selected studies, and then the proportion of patients with hepatic AEs and 95% confidence interval (CI) were calculated for each study. Studies that had a comparative arm were used to calculate the RR of hepatic AEs. For the meta-analysis, both the fixed-effect model and the random-effect model were considered.22,23 The χ2-based Q statistic was first applied to estimate between-study heterogeneity, and inconsistency was quantified with the I2 statistic, which estimates the percentage of total variation across studies because of heterogeneity rather than chance.24 Heterogeneity was considered statistically significant when P<0.1. If heterogeneity existed, data were analyzed using a random-effect model. Otherwise, a fixed-effect model was used. Moreover, the following subgroup analyses were conducted: 1) PD-1 inhibitors monotherapy (nivolumab or pembrolizumab) versus control (including chemotherapy or everolimus), 2) a nivolumab/ipilimumab combination versus ipilimumab control, and 3) PD-1 inhibitors monotherapy (nivolumab or pembrolizumab) versus ipilimumab control. A two-tailed P-value of <0.05 was considered statistically significant. All statistical analyses were performed by using Version 2 of the Comprehensive Meta Analysis program (Biostat, Englewood, NJ, USA).

Results

Search results

On the basis of our search criteria, 251 potentially clinical studies evaluating nivolumab or pembrolizumab were identified. After the selection procedure, ten full-text articles were considered for further assessment; one trial without sufficient data on hepatic AEs was excluded. Finally, a total of nine RCTs5,7–12,25,26 were considered to be of adequate quality and relevance for the meta-analysis. Studies excluded from the analysis and the reasons for their exclusion are shown in Figure 1.
Figure 1

Flow chart of selection process for trials included in meta-analysis.

Abbreviations: AEs, adverse events; RCTs, randomized controlled trials.

Study characteristics

In total, nine RCTs were available for the meta-analysis including eight Phase III trials and one randomized Phase II/III trial. Four studies evaluated nivolumab monotherapy versus chemotherapy controls,7,9,10,25 one study evaluated nivolumab monotherapy versus everolimus (data on high-grade hepatic AEs),11 one study evaluated pembrolizumab monotherapy versus chemotherapy control,5 two studies evaluated nivolumab/ipilimumab combination versus ipilimumab,8,26 and two studies evaluated pembrolizumab monotherapy or nivolumab monotherapy versus ipilimumab control.12,26 Underlying malignancies included melanoma,7,8,12,25,26 renal cell carcinoma,11 and advanced non-small-cell lung cancer.5,9,10 All trials reported the hepatic AEs according to the National Cancer Institute’s Common Terminology Criteria for Adverse Events version four criteria. Jadad scores were listed for each trial in Tables 1 and 2; the mean score was 3.7 (range, 3.0–5.0), indicating that the overall methodological quality of the included studies was good and fair.
Table 2

Direct comparison among different immune checkpoint inhibitors

StudyPhaseUnderlying malignancyTreatment armControl armTreatment armControl armCTC versionJadad score
Larkin et al26IIIMelanomaNivolumab 3 mg/kg combined with placeboIpilimumab3133114.05
Ipilimumab combined with nivolumab (1 mg/kg)Ipilimumab313
Postow et al8IIIMelanomaIpilimumab combined with nivolumab (1 mg/kg)Ipilimumab94464.05
Robert et al12IIIMelanomaPembrolizumab 10 mg/kg every 2 weeksIpilimumab2782564.03
Pembrolizumab 10 mg/kg every 3 weeksIpilimumab277

Abbreviation: CTC, common toxicity criteria.

Incidence of all-grade and high-grade hepatic AEs

For the incidence analysis, only arms receiving one of the anti PD-1 antibodies were included. A total of 2,442 patients from seven RCTs were included for the calculation of the incidence of all-grade hepatic AEs. The calculated summary incidence of all-grade hepatic AEs was 3.1% (95% CI: 2.5%–3.9%) using the fixed-effect model (heterogeneity test: I2=0%, P=0.67) for elevated ALT and 3.2% (95% CI: 2.5%–3.9%) with the fixed-effect model (heterogeneity test: I2=0.82%, P=0.366) for elevated AST (Figure 2). Data for high-grade hepatic AEs included a total of 2,848 patients from eight RCTs. The summary incidence of high-grade elevated ALT was 0.6% (95% CI: 0.4%–1.1%) according to the fixed-effect model (heterogeneity test: I2=0%, P=0.600), and the calculated incidence of high-grade elevated AST was 0.5% (95% CI: 0.3%–0.8%) using a fixed-effect model (heterogeneity test: I2=0%, P=0.879) (Figure 2).
Figure 2

Forest plot for meta-analysis of incidence of all-grade elevated ALT (A) and AST (B) and high-grade elevated ALT (C) and AST (D).

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CI, confidence interval.

RR of hepatic AEs in patients treated with PD-1 inhibitors monotherapy versus chemotherapy or everolimus control

The RR of hepatic AEs was calculated by comparing with those assigned to a control treatment in the same trial to determine the specific contribution of PD-1 inhibitors to the development of hepatic AEs. A total of 2,587 patients from five RCTs were included for calculating the RR of all-grade hepatic AEs, and the combined results demonstrated that the use of PD-1 inhibitors monotherapy was associated with a significantly increased risk of developing all-grade hepatic AEs with an RR of 2.09 (95% CI: 1.1–3.95, P=0.024) (heterogeneity test: I2=0%, P=0.889) for elevated ALT and 2.02 (95% CI: 1.01–4.03, P=0.047) (heterogeneity test: I2=0%, P=0.449) for elevated AST (Figure 3). As for high-grade hepatic AEs, a total of 3,390 patients from six RCTs were included for analysis. The combined RR showed that the use of PD-1 inhibitors monotherapy did not significantly increase the risk of high-grade hepatic AEs among cancer patients with an RR of 1.47 (95% CI: 0.45–4.86, P=0.525) (heterogeneity test: I2=0%, P=0.745) for elevated ALT and 1.51 (95% CI: 0.43–5.27, P=0.515) (heterogeneity test: I2=0%, P=0.878) for elevated AST (Figure 3).
Figure 3

RR of all-grade elevated ALT (A) and AST (B) and high-grade elevated ALT (C) and AST (D) for cancer patients receiving PD-1 inhibitors monotherapy compared with control.

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; PD-1, program death 1; CI, confidence interval; RR, risk ratio.

RR of hepatic AEs in patients treated with a nivolumab/ipilimumab combination versus ipilimumab control

In order to determine whether a nivolumab/ipilimumab combination is associated with a higher risk of developing hepatic toxicities than ipilimumab monotherapy, we calculated the RR according to a nivolumab/ipilimumab combination versus ipilimumab control. The RR of all-grade elevated ALT and AST was 4.64 (95% CI: 2.66–8.09, P<0.001) (heterogeneity test: I2=0%, P=0.877) and 4.43 (95% CI: 2.48–7.90, P<0.001) (heterogeneity test: I2=0%, P=0.878), respectively (Figure 4). Moreover, there was a statistically significant increase in the risk of high-grade hepatic AEs with an RR of 5.55 (95% CI: 2.27–13.57; P<0.001) (heterogeneity test: I2=0%, P=0.645) for elevated ALT and 8.98 (95% CI: 2.47–32.65; P=0.001) (heterogeneity test: I2=0%, P=0.882) for elevated AST (Figure 4). Thus, compared with ipilimumab, a nivolumab/ipilimumab combination was associated with higher risk of developing all-grade and high-grade hepatic AEs.
Figure 4

Relative risk of all-grade elevated ALT (A) and AST (B) and high-grade elevated ALT (C) and AST (D) for cancer patients receiving a nivolumab/ipilimumab combination compared with ipilimumab control.

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; PD-1, program death 1; CI, confidence interval.

RR of hepatic AEs in patients treated with nivolumab or pembrolizumab monotherapy versus ipilimumab control

Patients treated with PD-1 inhibitors monotherapy (nivolumab or pembrolizumab) might have a lower risk of developing hepatic AEs compared with ipilimumab control. Then, we performed an analysis by nivolumab or pembrolizumab monotherapy versus ipilimumab. The RR of all-grade elevated ALT and AST was 0.91 (95% CI: 0.52–1.59; P=0.726) (heterogeneity test: I2=0%, P=0.737) and 1.27 (95% CI: 0.70–2.30; P=0.441) (heterogeneity test: I2=0%, P=0.570), respectively (Figure 5). Additionally, we observed an RR of 0.60 (95% CI: 0.19–1.88; P=0.38) (heterogeneity test: I2=0%, P=0.374) for high-grade elevated ALT and an RR of 0.77 (95% CI: 0.18–3.20; P=0.716) (heterogeneity test: I2=33.3%, P=0.221) for high-grade elevated AST (Figure 5). Thus, no significant differences in the risk of all-grade or high-grade hepatic AEs can be detected between PD-1 inhibitors monotherapy and ipilimumab.
Figure 5

Relative risk of all-grade elevated ALT (A) and AST (B) and high-grade elevated ALT (C) and AST (D) for cancer patients receiving PD-1 inhibitors monotherapy compared with ipilimumab control.

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; PD-1, program death 1; CI, confidence interval.

Publication bias

When stratified by PD-1 inhibitors monotherapy versus chemotherapy or everolimus control, no significant publication bias was detected for the RR of hepatic AEs by either Begg test or Egger test (RR of all-grade elevated ALT: Begg test P=0.46, Egger test P=0.61; RR of all-grade elevated AST: Begg test P=0.46, Egger test P=0.62; RR of high-grade elevated ALT: Begg test P=0.26, Egger test P=0.42; RR of high-grade elevated AST: Begg test P=0.85, Egger test P=0.94).

Discussion

Our meta-analysis of data from Phase II/III and III RCTs demonstrated that treatment with PD-1 inhibitors was associated with a significant increase in the risk of developing all-grade hepatic AEs, but not for high-grade hepatic AEs, which are different from the results previously reported by Abdel-Rahman et al.19 In their analysis, the use of immune checkpoint inhibitors (PD-1 inhibitors and CTLA-4 inhibitors) had a causal relationship to an increased risk of high-grade elevated ALT and AST. The reason for this discrepancy could be partly explained by the distribution of treatment agents. All RCTs included in our study used PD-1 inhibitors as treatment drugs, while only three of ten RCTs in the study of Omar Abdel-Rahman et al evaluated PD-1 inhibitors (three RCTs evaluated nivolumab and seven RCTs evaluated CTLA-4 inhibitors). Although no significant differences in the risk of developing hepatic AEs can be detected between PD-1 inhibitors and ipilimumab in our analysis, these results should be interpreted cautiously as only two RCTs were included for the RR calculation. Moreover, it has been reported that anti-CTLA-4 monoclonal antibodies were associated with elevated AST and ALT levels in 10% of patients or less,27–29 while this was <5% for PD-1 inhibitors confirmed by our study. Additionally, we found that a nivolumab/ipilimumab combination was associated with significantly increased risk of developing all-grade and high-grade hepatic AEs compared with ipilimumab monotherapy. Similar to our results, Wolchok et al30 reported that high-grade treatment-related hepatic AEs were one of the most common AEs in patients who received ipilimumab plus nivolumab with 11% of patients for ALT and 13% of patients for AST. Hepatic AEs induced by PD-1/PD-L1 inhibitors commonly present as asymptomatic increase of AST and ALT, rarely total bilirubin.18 A proportion of patients may be presenting with fatigue, fever, and radiologic appearances including hepatomegaly, periportal lymphadenopathy, and periportal edema.31 Pathologic signs of pembrolizumab-induced hepatitis have been reported with periportal and lobular hepatitis, eosinophils, and some other inflammatory cell infiltrates.32 The median time to the onset of hepatic AEs was highly variable, such as 25 weeks (range 4–31 weeks) in lung cancer patients, 4 weeks (range 0.1–23 weeks) in melanoma patients treated with nivolumab, and 19 weeks (range 0.3–93 weeks) in patients treated with pembrolizumab.33 The risk of hepatic AEs with anti-PD-1 therapy seems to be increased not only by combination use of anti-PD-1 and anti-CTLA-4 monoclonal antibody but also by combination use of PD-1 inhibitors and targeted therapy or chemotherapy.34 For example, nivolumab combined with either sunitinib or pazopanib was associated with increased incidence of high-grade AST/ALT elevations in metastatic renal cell carcinoma.35 In addition, higher rates of AST/ALT elevation have been noted in advanced hepatocellular carcinoma patients treated with nivolumab. In a prospective analysis conducted by El-Khoueiry et al,36 41 patients were enrolled, 17% of patients experienced all-grade AST increase, and 15% of patients experienced all-grade ALT elevation. As for high-grade hepatic AEs, 12% of patients suffered AST elevation and 10% of patients suffered ALT elevation. Given hypothesized risk of triggering exacerbations of autoimmune diseases and/or chronic viral infections, patients with chronic hepatitis B/C (HBV/HCV), human immunodeficiency virus (HIV) infection, or autoimmune diseases have been excluded from clinical trials evaluating checkpoint blocking antibodies PD-1 and CTLA-4. Interestingly, Davar et al37 reported two patients with advanced melanoma and concomitant HCV or/and HIV infections treated with pembrolizumab and found that this drug was well tolerated with no exacerbation of underlying HCV/HIV infection or hepatic toxicity in both cases. Although the results of only two patients is in no way generalizable to other patients, it may indicate an important area for future investigation of the systematic evaluation of PD-1/PD-L1 inhibitors in patients with chronic HBV/HCV and/or HIV infection and other entities including autoimmune disease requiring systemic immunosuppression. Management of immune checkpoint inhibitor-related hepatic AEs consists of dose interruption and/or dose reduction and treatment with corticosteroids. Monitoring of patients for liver function before, during, and after anti-PD-1 therapy is essential, but at the same time, the malignant disease in the liver, viral hepatitis, or another drug-induced toxicity should be excluded. Several algorithms have already been proposed for hepatic AEs with immune checkpoint blockade.28,33 The grade of the AE should be conducted to guide therapeutic decisions. In asymptomatic patients with AST or ALT ≤2.5× upper limit of normal, treatment with immunotherapy may continue without dose adjustment, but patients should be monitored closely for liver function. Immunotherapy should be held or reduced for grade 2, and oral prednisone may be involved in treatment. If a patient presents with grade 3 or 4 hepatic AEs, then discontinuation of immunotherapy should be considered in addition to methylprednisolone 2–4 mg/kg/d, and occasionally additional immune suppression with mycophenolate mofetil 500–1,000 mg every 12 hours is recommended.38 Infliximab, as confers its own risk of hepatotoxicity, should be avoided in this setting.1 However, there are several potential limitations needed to be considered in our meta-analysis. First, all the included studies were conducted at academic centers or major institutions, excluding patients with poor renal, hematological, and hepatic functions, so the true incidences and risk of PD-1 inhibitors-related hepatic AEs might be higher in daily clinical work. Second, this is a meta-analysis at study level and not on the patients’ data, then confounding factors at the patient level including patients’ comorbidities, previous therapeutic exposure, and concomitant treatments that affect liver function cannot be assessed properly and incorporated into the analysis. Third, this analysis is not powered to detect significant difference in the risk of developing hepatic AEs between PD-1 inhibitors monotherapy and ipilimumab control, while the observation might be influenced by sample size. Fourth, in this retrospective analysis, different tumor types, drug types, and dosage of PD-1 drug may increase the clinical heterogeneity among included trials and make the interpretation of the meta-analysis more problematic. However, the heterogeneity of pooled RR was not significant for both all-grade and high-grade hepatic AEs.

Conclusion

This meta-analysis of RCTs demonstrates that the use of PD-1 inhibitors is associated with an increased risk of hepatic AEs in cancer patients, which is primarily for lower grade events. And the risk of hepatic AEs is higher in patients treated with a nivolumab/ipilimumab combination compared with ipilimumab control. These findings would help clinicians and patients to recognize the risk of hepatic AEs of PD-1 checkpoint inhibitors to avoid delays in diagnosis and treatment.
  33 in total

1.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Int J Surg       Date:  2010-02-18       Impact factor: 6.071

Review 2.  Diagnosis, monitoring and management of immune-related adverse drug reactions of anti-PD-1 antibody therapy.

Authors:  Thomas K Eigentler; Jessica C Hassel; Carola Berking; Jens Aberle; Oliver Bachmann; Viktor Grünwald; Katharina C Kähler; Carmen Loquai; Niels Reinmuth; Martin Steins; Lisa Zimmer; Anna Sendl; Ralf Gutzmer
Journal:  Cancer Treat Rev       Date:  2016-02-18       Impact factor: 12.111

3.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

4.  Nivolumab and ipilimumab versus ipilimumab in untreated melanoma.

Authors:  Michael A Postow; Jason Chesney; Anna C Pavlick; Caroline Robert; Kenneth Grossmann; David McDermott; Gerald P Linette; Nicolas Meyer; Jeffrey K Giguere; Sanjiv S Agarwala; Montaser Shaheen; Marc S Ernstoff; David Minor; April K Salama; Matthew Taylor; Patrick A Ott; Linda M Rollin; Christine Horak; Paul Gagnier; Jedd D Wolchok; F Stephen Hodi
Journal:  N Engl J Med       Date:  2015-04-20       Impact factor: 91.245

5.  Cutaneous, gastrointestinal, hepatic, endocrine, and renal side-effects of anti-PD-1 therapy.

Authors:  Lars Hofmann; Andrea Forschner; Carmen Loquai; Simone M Goldinger; Lisa Zimmer; Selma Ugurel; Maria I Schmidgen; Ralf Gutzmer; Jochen S Utikal; Daniela Göppner; Jessica C Hassel; Friedegund Meier; Julia K Tietze; Ioannis Thomas; Carsten Weishaupt; Martin Leverkus; Renate Wahl; Ursula Dietrich; Claus Garbe; Michael C Kirchberger; Thomas Eigentler; Carola Berking; Anja Gesierich; Angela M Krackhardt; Dirk Schadendorf; Gerold Schuler; Reinhard Dummer; Lucie M Heinzerling
Journal:  Eur J Cancer       Date:  2016-04-13       Impact factor: 9.162

6.  Ipilimumab monotherapy in patients with pretreated advanced melanoma: a randomised, double-blind, multicentre, phase 2, dose-ranging study.

Authors:  Jedd D Wolchok; Bart Neyns; Gerald Linette; Sylvie Negrier; Jose Lutzky; Luc Thomas; William Waterfield; Dirk Schadendorf; Michael Smylie; Troy Guthrie; Jean-Jacques Grob; Jason Chesney; Kevin Chin; Kun Chen; Axel Hoos; Steven J O'Day; Celeste Lebbé
Journal:  Lancet Oncol       Date:  2009-12-08       Impact factor: 41.316

7.  Ipilimumab associated hepatitis: imaging and clinicopathologic findings.

Authors:  Kyung Won Kim; Nikhil H Ramaiya; Katherine M Krajewski; Jyothi P Jagannathan; Sree Harsha Tirumani; Amitabh Srivastava; Nageatte Ibrahim
Journal:  Invest New Drugs       Date:  2013-02-14       Impact factor: 3.850

8.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

9.  Nivolumab plus ipilimumab in advanced melanoma.

Authors:  Jedd D Wolchok; Harriet Kluger; Margaret K Callahan; Michael A Postow; Naiyer A Rizvi; Alexander M Lesokhin; Neil H Segal; Charlotte E Ariyan; Ruth-Ann Gordon; Kathleen Reed; Matthew M Burke; Anne Caldwell; Stephanie A Kronenberg; Blessing U Agunwamba; Xiaoling Zhang; Israel Lowy; Hector David Inzunza; William Feely; Christine E Horak; Quan Hong; Alan J Korman; Jon M Wigginton; Ashok Gupta; Mario Sznol
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

10.  PD-1 Blockade in Advanced Melanoma in Patients with Hepatitis C and/or HIV.

Authors:  Diwakar Davar; Melissa Wilson; Chelsea Pruckner; John M Kirkwood
Journal:  Case Rep Oncol Med       Date:  2015-09-10
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  12 in total

1.  Supportive care for patients undergoing immunotherapy.

Authors:  Bernardo Leon Rapoport; Ronwyn van Eeden; Vincent Sibaud; Joel B Epstein; Jean Klastersky; Matti Aapro; Devan Moodley
Journal:  Support Care Cancer       Date:  2017-07-13       Impact factor: 3.603

2.  CAUTION ADVISED USING COMBINATION KETOCONAZOLE AND PD-1 INHIBITORS.

Authors:  Yingying Yang; Joel R Hecht; Sandy Ting Liu; Melissa J Cohen; Steven D Hart; Hanlin L Wang; Anthony P Heaney
Journal:  AACE Clin Case Rep       Date:  2020-09-21

Review 3.  Incidence of hepatotoxicity associated with addition of immune checkpoint blockade to systemic solid tumor therapy: a meta-analysis of phase 3 randomized controlled trials.

Authors:  Yu Fujiwara; Nobuyuki Horita; Matthew Harrington; Ho Namkoong; Hirotaka Miyashita; Matthew D Galsky
Journal:  Cancer Immunol Immunother       Date:  2022-04-26       Impact factor: 6.630

4.  Workup and Management of Immune-Mediated Hepatobiliary Pancreatic Toxicities That Develop During Immune Checkpoint Inhibitor Treatment.

Authors:  Christine Hsu; John L Marshall; Aiwu Ruth He
Journal:  Oncologist       Date:  2019-09-09

5.  Phase 1 study of the PI3Kδ inhibitor INCB040093 ± JAK1 inhibitor itacitinib in relapsed/refractory B-cell lymphoma.

Authors:  Tycel J Phillips; Andres Forero-Torres; Taimur Sher; Catherine S Diefenbach; Patrick Johnston; Moshe Talpaz; Jennifer Pulini; Li Zhou; Peggy Scherle; Xuejun Chen; Paul M Barr
Journal:  Blood       Date:  2018-04-25       Impact factor: 22.113

Review 6.  Progresses and Perspectives of Anti-PD-1/PD-L1 Antibody Therapy in Head and Neck Cancers.

Authors:  Bo Yang; Tingjun Liu; Yang Qu; Hangbo Liu; Song Guo Zheng; Bin Cheng; Jianbo Sun
Journal:  Front Oncol       Date:  2018-11-28       Impact factor: 6.244

Review 7.  Development and clinical applications of cancer immunotherapy against PD-1 signaling pathway.

Authors:  Grace Wakabayashi; Yu-Ching Lee; Frank Luh; Chun-Nan Kuo; Wei-Chiao Chang; Yun Yen
Journal:  J Biomed Sci       Date:  2019-12-05       Impact factor: 8.410

Review 8.  Liver damage related to immune checkpoint inhibitors.

Authors:  Naoshi Nishida; Masatoshi Kudo
Journal:  Hepatol Int       Date:  2019-01-03       Impact factor: 9.029

9.  Analysis of immune-related adverse events caused by immune checkpoint inhibitors using the Japanese Adverse Drug Event Report database.

Authors:  Shiori Hasegawa; Hiroaki Ikesue; Satoshi Nakao; Kazuyo Shimada; Ririka Mukai; Mizuki Tanaka; Kiyoka Matsumoto; Misaki Inoue; Riko Satake; Yu Yoshida; Fumiya Goto; Tohru Hashida; Mitsuhiro Nakamura
Journal:  Pharmacoepidemiol Drug Saf       Date:  2020-09-01       Impact factor: 2.890

Review 10.  Dose dependence of treatment-related adverse events for immune checkpoint inhibitor therapies: a model-based meta-analysis.

Authors:  Boris Shulgin; Yuri Kosinsky; Andrey Omelchenko; Lulu Chu; Ganesh Mugundu; Sergey Aksenov; Rodrigo Pimentel; Garrett DeYulia; Geoffrey Kim; Kirill Peskov; Gabriel Helmlinger
Journal:  Oncoimmunology       Date:  2020-05-21       Impact factor: 8.110

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