# Comprehensive post-marketing safety evaluation of atezolizumab: A disproportionality analysis based on individual case safety reports in the FAERS

**Authors:** Yu Cui, Yuxuan Gao, Na Meng, Xiaojuan Li, Na Zhao, Lili Yu

PMC · DOI: 10.1371/journal.pone.0344190 · PLOS One · 2026-03-03

## TL;DR

This study evaluates the safety of atezolizumab, a cancer drug, by analyzing adverse event reports to identify common and severe side effects.

## Contribution

The study provides a comprehensive safety profile of atezolizumab using disproportionality analysis of post-marketing adverse event data.

## Key findings

- Systemic immune activation was the highest intensity adverse event signal for atezolizumab.
- Common adverse events included death, pyrexia, infectious pneumonia, anaemia, and febrile neutropenia.
- Endocrine, respiratory, and urinary system disorders were highlighted as areas needing clinical monitoring.

## Abstract

Atezolizumab is a widely used immune checkpoint inhibitor (ICI) for cancer treatment, and postmarketing testing is important. This study aims to provide a reference for the safe and rational use of drugs in clinical practice by mining and analyzing the adverse event (AE) signals of atezolizumab on the basis of the FDA Adverse Event Reporting System (FAERS). This research extracted AE reports from the second quarter (Q2) of 2016 to Q2 of 2024 from the FAERS. AEs were standardized and classified on the basis of the System Organ Class (SOC) and Preferred Term (PT) from the Medical Dictionary for Regulatory Activities (MedDRA) version 23.0. This study utilized disproportionality analysis (DPA) for signal mining and analysis, including the reporting odds ratio (ROR) method, the Medicines and Healthcare Products Regulatory Agency (MHRA) method, and the Bayesian confidence propagation neural network (BCPNN) method. We obtained a total of 3,124 AE signals and identified 640 PTs and 21 SOCs for atezolizumab. The highest signal intensity was systemic immune activation (n = 15, ROR = 449.20, PRR = 449.07, IC = 8.06), and the most frequently reported AEs were death, pyrexia, infectious pneumonia, anaemia, and febrile neutropenia. The top 100 PTs in terms of signal intensity involved a total of 16 SOCs, including those associated with endocrine disorders; respiratory, thoracic and mediastinal disorders; and renal and urinary disorders. This study revealed that AEs in the endocrine, respiratory and urinary systems need to be monitored in clinical practice.

## Full-text entities

- **Genes:** CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, LINC-ROR (long intergenic non-protein coding RNA, regulator of reprogramming) [NCBI Gene 100885779] {aka ROR, lincRNA-RoR, lincRNA-ST8SIA3}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, BRAF (B-Raf proto-oncogene, serine/threonine kinase) [NCBI Gene 673] {aka B-RAF1, B-raf, BRAF-1, BRAF1, NS7, RAFB1}
- **Diseases:** ADEs (MESH:D064420), hepatobiliary disorders (MESH:D004066), immune system disorders (MESH:D007154), gastrointestinal disorders (MESH:D005767), endocrine disorders (MESH:D004700), hypothyroidism (MESH:D007037), Deaths (MESH:D003643), renal and urinary disorders (MESH:C566906), PT (MESH:D000088562), anemia (MESH:D000740), Nervous system disorders (MESH:D009422), febrile neutropenia (MESH:D064147), blood and lymphatic system disorders (MESH:D006425), eye diseases (MESH:D005128), HCC (MESH:D006528), anaemia (MESH:D000743), hepatitis (MESH:D056486), respiratory, thoracic and mediastinal disorders (MESH:D008480), drug (MESH:D000081015), TNBC (MESH:D064726), breast cancer (MESH:D001943), liver fibrosis (MESH:D008103), damage to lung function (MESH:D055370), ASPS (MESH:D018234), lung cancer (MESH:D008175), cancer (MESH:D009369), adrenal insufficiency (MESH:D000309), SCLC (MESH:D055752), inflammation (MESH:D007249), melanoma (MESH:D008545), Varices oesophageal (MESH:D014648), Metabolism and nutrition disorders (MESH:D009750), NSCLC (MESH:D002289), Large-duct cholangitis (MESH:D002761), bile-duct injury (MESH:D001649), fever pyrexia (MESH:D005334), Proteinuria (MESH:D011507), adrenocortical insufficiency (MESH:D000224), nephritis (MESH:D009393), AKI (MESH:D058186), infectious pneumonia (MESH:D011014), SOC (MESH:D009102)
- **Chemicals:** cemiplimab (MESH:C000627974), FAERS (-), steroids (MESH:D013256), vemurafenib (MESH:D000077484), cortisol (MESH:D006854), cobimetinib (MESH:C574276), bevacizumab (MESH:D000068258), Atezolizumab (MESH:C000594389)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12956082/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC12956082/full.md

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Source: https://tomesphere.com/paper/PMC12956082