Pancreatic Adverse Events Associated With Immune Checkpoint Inhibitors: A Large-Scale Pharmacovigilance Analysis.

Backgrounds: Immune checkpoint inhibitors (ICIs) are considered cornerstones of oncology treatment with durable anti-tumor efficacy, but the increasing use of ICIs is associated with the risk of developing immune-related adverse events (irAEs). Although ICI-associated pancreatic adverse events (AEs) have been reported in patients treated with ICIs, the clinical features and spectrum of pancreatic AEs are still not well-defined. Therefore, this study aimed to identify the association between pancreatic AEs and ICIs treatments and to characterize the main features of ICI-related pancreatic injury (ICIPI) based on the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Data from the first quarter of 2015 to the first quarter of 2021 in the database were extracted to conduct a disproportionality analysis. The selection of AEs related to the pancreas relied on previous studies and preferred terms from the Medical Dictionary for Regulatory Activities. Two main disproportionality analyses-the reporting odds ratio (ROR) and information component (IC)-were used to evaluate potential associations between ICIs and pancreatic AEs. In total, 2,364 cases of pancreatic AEs in response to ICIs were extracted from the FAERS database, of which, 647 were identified as ICI-associated pancreatitis and 1,293 were identified as ICI-associated diabetes mellitus. Generally, significant signals can be detected between pancreatic AEs and all ICIs treatments (ROR025 = 3.30, IC025 = 1.71). For monotherapy, the strongest signal associated with pancreatitis was reported for anti-PD-L1 (ROR025 = 1.75, IC025 = 0.76), whereas that with diabetes mellitus was reported for anti-PD-1 (ROR025 = 6.39, IC025 = 2.66). Compared with monotherapy, combination therapy showed stronger associations with both ICI-associated pancreatitis (ROR025 = 2.35, IC025 = 1.20 vs. ROR025 = 1.52, IC025 = 0.59) and ICI-associated diabetes mellitus (ROR025 = 9.53, IC025 = 3.23 vs. ROR025 = 5.63, IC025 = 2.48), but lower fatality proportion. ICIs were significantly associated with the over-reporting frequency of pancreatic AEs, in which combination therapy posed a higher reporting frequency. Therefore, patients should be informed of these potential toxicities before ICIs medications are administered.

Zhang Y ，Fang Y ，Wu J ，Huang G ，Bin J ，Liao Y ，Shi M ，Liao W ，Huang N ... -  《Frontiers in Pharmacology》

Endocrine toxicity of immune checkpoint inhibitors: a real-world study leveraging US Food and Drug Administration adverse events reporting system.

Zhai Y ，Ye X ，Hu F ，Xu J ，Guo X ，Zhuang Y ，He J ... -  《Journal for ImmunoTherapy of Cancer》

Cardiovascular toxicity profiles of immune checkpoint inhibitors with or without angiogenesis inhibitors: a real-world pharmacovigilance analysis based on the FAERS database from 2014 to 2022.

Immune checkpoint inhibitors (ICIs) combined with angiogenesis inhibitors (AGIs) have become increasingly available for multiple types of cancers, although the cardiovascular safety profiles of this combination therapy in real-world settings have not been elucidated to date. Therefore, we aimed to comprehensively investigate the cardiovascular toxicity profiles of ICIs combined with AGIs in comparison with ICIs alone. The Food and Drug Administration Adverse Event Reporting System (FAERS) database from the 1st quarter of 2014 to the 1st quarter of 2022 was retrospectively queried to extract reports of cardiovascular adverse events (AEs) associated with ICIs alone, AGIs alone and combination therapy. To perform disproportionality analysis, the reporting odds ratios (RORs) and information components (ICs) were calculated with statistical shrinkage transformation formulas and a lower limit of the 95% confidence interval (CI) for ROR (ROR025) > 1 or IC (IC025) > 0 with at least 3 reports was considered statistically significant. A total of 18 854 cardiovascular AE cases/26 059 reports for ICIs alone, 47 168 cases/67 595 reports for AGIs alone, and 3 978 cases/5 263 reports for combination therapy were extracted. Compared to the entire database of patients without AGIs or ICIs, cardiovascular AEs were overreported in patients with combination therapy (IC025/ROR025 = 0.559/1.478), showing stronger signal strength than those taking ICIs alone (IC025/ROR025 = 0.118/1.086) or AGIs alone (IC025/ROR025 = 0.323/1.252). Importantly, compared with ICIs alone, combination therapy showed a decrease in signal strength for noninfectious myocarditis/pericarditis (IC025/ROR025 = 1.142/2.216 vs. IC025/ROR025 = 0.673/1.614), while an increase in signal value for embolic and thrombotic events (IC025/ROR025 = 0.147/1.111 vs. IC025/ROR025 = 0.591/1.519). For outcomes of cardiovascular AEs, the frequency of death and life-threatening AEs was lower for combination therapy than ICIs alone in noninfectious myocarditis/pericarditis (37.7% vs. 49.2%) as well as in embolic and thrombotic events (29.9% vs. 39.6%). Analysis among indications of cancer showed similar findings. Overall, ICIs combined with AGIs showed a greater risk of cardiovascular AEs than ICIs alone, mainly due to an increase in embolic and thrombotic events while a decrease in noninfectious myocarditis/pericarditis. In addition, compared with ICIs alone, combination therapy presented a lower frequency of death and life-threatening in noninfectious myocarditis/pericarditis and embolic and thrombotic events.

Wang Y ，Cui C ，Deng L ，Wang L ，Ren X ... -  《Frontiers in Immunology》

Hematological toxicities in immune checkpoint inhibitors: A pharmacovigilance study from 2014 to 2019.

Immune checkpoint inhibitors (ICIs) have shown remarkable clinical effects in many cancer types. However, ICIs could also induce severe organ system toxicities, including those of the hematological system. The present study aimed to extensively characterize the hematological toxicities of ICIs immunotherapy. Data were extracted from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from January 1, 2014, to March 31, 2019. Disproportionality analysis, including information component (IC) and reporting odds ratio (ROR), was used to detect potential disproportionality signal. The lower boundary of the 95% confidence interval of IC (IC025 ) exceeding zero or that of ROR (ROR025 ) exceeding one was considered statistically significant for detecting disproportionality signal. A total of 29 294 335 records were extracted from the database, with 132 573 related to ICIs. Overall, hematological adverse events (AEs) were more frequently reported in ICIs (IC025 : 0.81; ROR025 : 1.80). On further analysis, hematological AEs were overreported in female patients (female vs male, ROR025 : 1.04) and anti-CTLA-4 monotherapy groups (anti-CTLA-4 vs anti-PD-1, ROR025 : 1.33) and polytherapy groups (polytherapy vs monotherapy, ROR: 1.20, ROR025 : 1.11). Moreover, class-specific hematological AEs were also detected and differed in unique ICI regimens. Notably, disseminated intravascular coagulation had the highest proportion of death outcomes among the top 10 most frequently reported ICI-associated hematological AEs. Our study shows a high reporting frequency of hematological AEs induced by ICI monotherapy (especially by anti-CTLA-4 therapy) and reinforced by polytherapy. A spectrum of class-specific disproportionality signal was also detected; some were fatal and reported for the first time. The heterogeneous clinical spectrum of hematological toxicities, including the non-negligible proportion of death as reported outcome, are warranted to be reminded by clinicians. Early recognition and management of ICI-related hematological AEs are highly important and further studies are needed to confirm the results of our study.

Ye X ，Hu F ，Zhai Y ，Qin Y ，Xu J ，Guo X ，Zhuang Y ，He J ... -  《-》

Hepatic failure associated with immune checkpoint inhibitors: An analysis of the Food and Drug Administration Adverse Event Reporting System database.

Hepatic failure induced by immune checkpoint inhibitors (ICIs) has been reported in only a few case series and case reports. We aimed to explore the association between ICIs and hepatic failure and characterize the clinical features of ICI-associated hepatic failure in the pharmacovigilance database. Data from the first quarter (Q1) of 2015 to the fourth quarter (Q4) of 2021 in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database were retrieved for disproportionality and Bayesian analysis. Reporting odds ratios (ROR) and information component (IC) were used to evaluate correlations between ICIs and hepatic failure. Hepatic failure occurred in 0.19% (18,454/9,647,655) of all cases in the FAERS database, of which 654 cases were associated with ICIs. The overall median time from ICIs initiation to hepatic failure onset was 38 days, 72.3% of the adverse events occurred within the first 3 months, and 68.65% of the cases died after developing hepatic failure. In general, a strong signal was shown between ICIs and hepatic failure (ROR025  = 2.70, IC025  = 1.39). For the three categories of ICIs, programmed cell death 1 ligand 1 inhibitors (ROR025  = 3.09, IC025  = 1.57) had a higher risk signal than programmed cell death protein 1 inhibitors and cytotoxic T lymphocyte-associated protein 4 inhibitors. For monotherapy, atezolizumab showed the strongest risk signal (ROR025  = 4.07, IC025  = 1.90). The combination of nivolumab and ipilimumab showed stronger signals of hepatic failure compared with nivolumab or ipilimumab alone (nivolumab + ipilimumab vs. ipilimumab: ROR025  = 1.40, IC025  = 0.16; nivolumab + ipilimumab vs. nivolumab: ROR025  = 1.24, IC025  = 0.34). Considering the concomitant agents used with ICIs, the majority of these regimens showed stronger signals than ICI monotherapy, such as acetaminophen (ICIs + acetaminophen vs. ICIs: ROR025  = 1.06, IC025  = 0.32). ICIs had possible strong signals associated with hepatic failure, and most cases of hepatic failure occurred within the first 3 months and had poor outcomes, which should attract clinical attention.

Xu Y ，Yan C ，Zhao Y ，Li D ，Guo M ，Cui X ... -  《Cancer Medicine》