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.
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.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- From molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Pulmonary Complications of Cancer Therapy: Clinical Presentations, Imaging Patterns, and Management Strategies.Medicina (Kaunas, Lithuania) · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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
Identifiers
41609852What OpenQuestion holds
Registered trials
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.