Evidence map›Paper›PMID 42093890›Full record

ArticleFrontiers in pharmacology2026

Reported drug spectrum and disproportionality signals for malignant neoplasm progression in FAERS: a real-world pharmacovigilance study.

Yinghao Liu, Miao Zeng, Mingying Zhang, Hongxiang Xu, Xiaoyu Li, Jun Zhang

Abstract read
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Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yinghao LiuNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.
Miao ZengNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.
Mingying ZhangNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.
Hongxiang XuNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.
Xiaoyu LiNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.
Jun ZhangNational Clinical Research Center for Children and Adolescents' Health and Diseases, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Using malignant neoplasm/tumour progression as the endpoint, we screened FAERS for disproportionate reporting signals, characterized the drug spectrum represented in progression-related reports, and prioritized drug-event pairs for further evaluation rather than causal inference. Methods: Publicly available reports from FAERS (2004Q1-2024Q4) and JADER (2004-2024) were analyzed. After FDA-recommended deduplication, malignant tumor progression was identified using the MedDRA Preferred Terms "Malignant neoplasm progression" and "Tumour progression" (version 26.1). Primary and secondary suspect drugs were standardized to generic names using MedEx. Signals were detected by disproportionality analysis using the reporting odds ratio (ROR), with positive signals defined as a report count ≥3 and a lower 95% confidence interval bound >1. The same analytical pipeline was applied to JADER for external validation. Results: FAERS contained 321,020 progression-related reports; 84,977 unique cases remained after deduplication, rising over time (notably after 2018) with severe outcomes (death 27.63%, hospitalization 13.66%). Among the top 50 drugs, 92% were antineoplastic/immunomodulating agents; nivolumab, pembrolizumab, enzalutamide, everolimus, and osimertinib were most frequently reported. 49 drugs showed positive ROR signals (highest: afatinib, gefitinib, osimertinib); 35/49 were replicated in JADER (8,929 cases). Conclusion: Progression-related reporting signals were concentrated mainly in immunotherapies and targeted agents. Although disproportionality analysis does not establish causality, these findings may help prioritize drug-event pairs for further investigation and highlight the need for more standardized reporting, as well as confirmatory epidemiologic and mechanistic studies.

Indexed as

disproportionality analysisdrugsFAERSJADERmalignant neoplasm progressionpharmacovigilancespontaneous reporting systems

Identifiers

PMID42093890
PMCPMC13139327

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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.