A pharmacovigilance data-driven approach to reveal high fatal adverse events following checkpoint immunotherapy

• 成果类型: Article
• 署名作者: Sun, Zhen; Deng, Xuan; Guo, Jianglong; Liu, Mengsi; Wang, Siying; Wang, Jian; Zheng, Jiaojiao; Niu, Kongyan; Shen, Weiming; Ye, Zhen; Zheng, Chongming; Wang, Hongye; Yang, Fan; Bao, Zhouzhou; Chan, Kui Ming; Chen, Gang; Guan, Ming; Jin, Haojie
• 署名单位: Shanghai Jiao Tong University; Fudan University; Guangdong Academy of Medical Sciences & Guangdong General Hospital; Southern Medical University - China; University of South China; Wenzhou Medical University; Shanghai Jiao Tong University; Shanghai Jiao Tong University; Shanghai Jiao Tong University; City University of Hong Kong
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2427234123
• 发表日期: 2026-03-10
• 页码: e2427234123
• 关键词: checkpoint immunotherapy; adverse event; Drug Safety; fatality; pharmacovigilance analysis

摘要

Immune checkpoint inhibitors (ICIs) have significantly improved the outcome of cancer treatment, but they also expose most patients to a variety of treatment-related adverse events (AEs). This study introduces a modified pharmacovigilance approach to identify ICI-related high-mortality AEs, a subset of treatment-related complications that are disproportionately reported with elevated fatality during ICI therapy. Utilizing large-scale pharmacovigilance data from 148,972 ICI-treated cases in the FDA AEs Reporting System and 142,645 ICI-treated cases in the WHO global VigiBase, we found 63 types of ICI-related high-mortality AE, such as interstitial lung disease, myositis, and hepatic failure, which necessitate heightened clinical vigilance. Patients who experienced these events had significantly higher fatality reporting rates compared to other cases (36.25% vs. 10.66%). These findings were corroborated in the additional clinical datasets to ensure their generalizability. In summary, identifying these ICI-related high-mortality AEs provides crucial insights for developing proactive monitoring strategies and prioritizes specific events for prevention and intervention to mitigate fatality risk.