Evidence map›Paper›PMID 41609852›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Pharmacovigilance study and genetic target prediction analysis of FDA adverse event reporting system for anticancer drug-associated interstitial lung disease.

Shun Li, Weijian Miao, Qimeng Tao, Jingjing Sun, Zhifei Huang, Yan Zhou, Hao Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Shun LiDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China.
Weijian MiaoDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China.
Qimeng TaoDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China.
Jingjing SunDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China.
Zhifei HuangDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China.
Yan ZhouDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China. 30623491@qq.com.
Hao JiangDepartment of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, Anhui, China. byyfyjh@bbmu.edu.cn.

Funding

Anhui Provincial Key R&D Programmes 202304295107020078the Research Funds of Joint Research Center for Regional Diseases of IHM 2023bydjk003
6 · The paper itself

Abstract

Anticancer drug-associated interstitial lung disease (ILD) is a serious adverse event. Identifying high-risk drugs and elucidating pathogenic mechanisms are crucial for prevention and management. Based on 21 years of the US Food and Drug Administration Adverse Event Reporting System (FAERS) data, we identified anticancer drugs strongly associated with ILD in solid tumor patients using disproportionality analysis and logistic regression. Network pharmacology identified overlapping targets between anticancer drugs and ILD. Mendelian randomization (MR) was used to assess causal links between target gene/protein expression and ILD. Molecular docking further evaluated drug-target binding. Finally, mediation MR analysis was applied to assess the role of immune cells and metabolites in mediating the causal effect of CD40 on ILD. We identified 21 anticancer drugs as independent risk factors for ILD, with the majority exhibiting an early failure mode. ILD onset was primarily observed within the first three months. Network pharmacology and MR analyses pinpointed CD40 as a key pathogenic target. Elevated CD40 expression causally increased ILD risk. Molecular docking further confirmed stable binding between gemcitabine and CD40. Mediation MR revealed CD40 influences ILD risk via specific Tregs (CD28 on secreting Treg, CD28 on activated & secreting Treg, and CD28 on CD45RA⁻ CD4 non-Treg) and metabolites (gamma-glutamylvaline, S-adenosylhomocysteine (SAH) to 5-methyluridine ratio). This integrated study reveals CD40 as a key contributor to anticancer drug-associated ILD, especially linked to gemcitabine. CD40 exerts its effect through dysregulation of specific Tregs and metabolites. These findings reveal novel disease mechanisms and identify potential therapeutic targets, providing new clues for the prevention and treatment of anticancer drug-associated ILD.

Indexed as

Adverse Drug Reaction Reporting SystemsAntineoplastic AgentsLung Diseases, InterstitialCD40 AntigensHumansMolecular Docking SimulationPharmacovigilanceRisk FactorsUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsCD40 AntigensAnticancer drugCD40GemcitabineInterstitial lung disease

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.