Evidence map›Paper›PMID 41770934›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

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

Zhen Sun, Xuan Deng, Jianglong Guo, Mengsi Liu, Siying Wang, Jian Wang, Jiaojiao Zheng, Kongyan Niu, Weiming Shen, Zhen Ye and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Reply to Revol et al.: Interpreting fatality-reporting signals in checkpoint immunotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Disproportionality analysis to investigate fatal adverse events with immune checkpoint inhibitors: Proceed with extreme caution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Zhen Sun *State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Xuan Deng *Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
Jianglong Guo *State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Mengsi Liu *Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Siying WangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Jian WangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Jiaojiao ZhengState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Kongyan NiuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Weiming ShenState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Zhen YeDepartment of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang 421001, China.
Chongming ZhengZhejiang Key Laboratory of intelligent Cancer Biomarker Discovery & Translation, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China.
Hongye WangDepartment of interventional oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
Fan YangDepartment of Pharmacy, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
Zhouzhou BaoShanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
Kui Ming ChanDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.ORCID 0000-0001-6430-3340
Gang ChenZhejiang Key Laboratory of intelligent Cancer Biomarker Discovery & Translation, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China.ORCID 0000-0001-6067-6959
Ming GuanDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
Haojie JinState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.ORCID 0000-0001-9295-1951

Funding

The national key research and development program of China 2022YFC2804300The National Natural Science Foundation of China 82222047 82073039The National Natural Science Foundation of China 82372336The Science and Technology Commission of Shanghai Municipality 22XD1423100 22S11900500The Shanghai Municipal Health Commission 2022XD057
6 · The paper itself

Abstract

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.

Indexed as

Drug-Related Side Effects and Adverse ReactionsImmune Checkpoint InhibitorsImmunotherapyNeoplasmsPharmacovigilanceAdverse Drug Reaction Reporting SystemsFemaleHumansLiver FailureLung Diseases, InterstitialMaleMyositisUnited StatesImmune Checkpoint Inhibitorsadverse eventcheckpoint immunotherapydrug safetyfatalitypharmacovigilance analysis

Identifiers

PMID41770934
PMCPMC12974455

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.