Evidence map›Paper›PMID 42733017›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Real-world pharmacovigilance signals of antibody-drug conjugates: reporting patterns by payload, linker, target, and sex in FAERS.

Zhen Chen, Jing Song, Miaomiao Chen, Chen Zhu, Liucheng Li, Zhijie Lv

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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. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Zhen ChenDepartment of Pharmacy, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, 310058, China. zhenchen29@zju.edu.cn.ORCID https://orcid.org/0009-0000-8836-2724
Jing SongDepartment of Pharmacy, Kunshan Hospital of Integrated Traditional Chinese and Western Medicine, Suzhou, 215300, China.
Miaomiao ChenDepartment of Pharmacy, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Chen ZhuDepartment of Pharmacy, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Liucheng LiDepartment of Pharmacy, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, 310058, China. 3415116@zju.edu.cn.
Zhijie LvDepartment of Pharmacy, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, 310058, China. lilylorry525@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) have transformed cancer therapy by delivering potent cytotoxic agents directly to tumor cells, yet their complex structure creates unique safety challenges. This retrospective pharmacovigilance study utilized the FDA Adverse Event Reporting System (FAERS) database from 2004Q1 to 2025Q4 to characterize adverse-event reporting patterns of 15 approved ADCs across 100,536 ADC-PT-report records derived from 34,041 unique FAERS reports. Using disproportionality algorithms, we identified heterogeneous adverse-event reporting patterns across ADCs grouped by payload, linker, and antibody target. Signals for peripheral neuropathy were frequently observed among microtubule inhibitor-based ADCs, whereas ILD signals were prominent among deruxtecan-containing ADCs. Cardiac-event signals were also observed among HER2-targeted ADCs, consistent with established HER2-related safety concerns. Notably, these associations should be interpreted as disproportionality signals generating mechanistic hypotheses rather than causal inferences. Sex-stratified analyses identified differences in reporting odds between female and male reports for several hematological and neuropathic events. These descriptive patterns may reflect differences in indication, ADC use, patient characteristics, and reporting practices rather than biological susceptibility. Time-to-onset was generally early among eligible reports, whereas T-DXd-associated ILD showed wide temporal dispersion (median, 62 days; Q1, 14.25 days; Q3, 166 days), with 22.8% of eligible reports occurring more than 180 days after treatment initiation. These findings identify reporting patterns that are consistent with established ADC pharmacology and generate hypotheses regarding possible structural correlates of adverse-event reporting. However, these associations do not establish independent effects of individual structural components or causal mechanisms. These findings provide a compelling rationale for future prospective studies and real-world cohort validation to explore tailored safety management in ADC therapies.

Indexed as

Adverse eventsAntibody–drug conjugatesData miningSafety profileSex difference

Identifiers

PMID42733017

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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.