Evidence map›Paper›PMID 42106642›Full record

ArticleBMC cancer2026

Osimertinib-induced interstitial lung disease insights from faers signal detection and network toxicology analysis.

Shi Zhang, Jian Liu, Xiaojie Feng, Rui Feng, Jianing Zhang, Senao Liu, Yueting Lu

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shi ZhangThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jian LiuComprehensive Supervision and Service Center of Hebei Health Commission, Shijiazhuang, China.
Xiaojie FengThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Rui FengThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jianing ZhangThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Senao LiuThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yueting LuThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China. 48901999@hebmu.edu.cn.

Funding

Medical Science Research Project of Hebei (20260573)
6 · The paper itself

Abstract

Osimertinib is a key treatment for EGFR-mutated non-small cell lung cancer, but interstitial lung disease (ILD) remains a rare yet potentially life-threatening pulmonary adverse event. Early recognition of osimertinib-associated ILD and clarification of its underlying mechanisms are important for improving clinical management. In this study, real-world pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS; 2015Q4-2025Q2) were extracted, deduplicated, and evaluated using four disproportionality algorithms. Potential molecular links between osimertinib and ILD were further explored by integrating drug- and disease-related targets from SwissTargetPrediction, CTD, GeneCards, and DisGeNET, followed by intersection analysis, protein-protein interaction (PPI) network construction, and functional enrichment analysis. A total of 24,676 osimertinib-related adverse event reports were identified, and ILD emerged as one of the strongest pulmonary safety signals. Among 484 ILD reports, cases were more commonly observed in older patients, women, and Asian patients, and were associated with high rates of hospitalization and serious clinical outcomes. Twenty-one overlapping targets between osimertinib and ILD were identified, and PPI network analysis highlighted CTNNB1, KRAS, STAT3, and TP53 as central nodes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses indicated significant involvement of cancer-related pathways, EGFR tyrosine kinase inhibitor resistance, and multiple signaling and regulatory pathways, including PI3K-Akt, MAPK, and Wnt/β-catenin-related signaling, suggesting potential roles in inflammation, epithelial injury, and fibrotic remodeling. Together, these findings integrate pharmacovigilance evidence with network-based mechanistic prediction and provide a basis for risk-stratified monitoring and further experimental validation of osimertinib-associated ILD.

Indexed as

AcrylamidesAdverse Drug Reaction Reporting SystemsAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungLung Diseases, InterstitialLung NeoplasmsProtein Kinase InhibitorsAgedFemaleHumansIndolesMaleMiddle AgedPharmacovigilanceProtein Interaction MapsAcrylamidesAniline CompoundsAntineoplastic AgentsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesDrug-induced adverse eventsFDA Adverse Event Reporting SystemInterstitial lung diseaseNetwork-based toxicologyOsimertinibPharmacovigilance analysis

Identifiers

PMID42106642
PMCPMC13343941

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Registered trials

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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.