Evidence map›Paper›PMID 40205546›Full record

ArticleBreast cancer research : BCR2025

Pharmacovigilance study of adverse reactions of anti-HER-2 drugs for the treatment of HER-2-positive breast cancer based on the FAERS database.

Jinming Han, Xiaohan Zhai, Xufeng Tao, Yunming Li, Ziqi Zhao, Zhan Yu, Deshi Dong, Shilei Yang, Linlin Lv

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Exploring tyrosine kinase inhibitors for HER2-positive breast cancer: comprehensive review on a complete pharmacology-molecular mechanisms, safety profiles, and insights from preclinical and clinical studies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

9 authors.

Jinming Han *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Xiaohan Zhai *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Xufeng TaoDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Yunming LiDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Ziqi ZhaoDepartment of Breast Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhan YuDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Deshi DongDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Shilei YangDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China.
Linlin LvDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116024, China. lvlinlinyu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere are three categories of drugs that treat human epidermal growth factor receptor type 2 (HER-2) positive breast cancer: monoclonal antibodies (mAbs), antibody-drug conjugates (ADCs), and tyrosine kinase inhibitors (TKIs). The purpose of this study is to analyze and compare the adverse reactions of three classes of anti-HER-2 drugs to various body systems in patients based on the FDA Adverse Event Reporting System (FAERS).

methodsAll data reports were extracted from the FAERS between 2004 and 2024. Data mining of adverse events associated with anti-HER-2 drugs was carried out using disproportionality analysis. A multivariate logistic regression analysis was conducted to explore the risk factors associated with AEs leading to hospitalization.

resultsA total of 47,799 patients were screened for the three classes of drugs, among which ADC drugs caused the largest proportion of deaths. MAb has the strongest ADR signals associated with "cardiac disorders". Moreover, trastuzumab was associated with a greater risk of cardiotoxicity. Logistic regression analysis revealed that the treatment with mAbs should be wary of serious adverse reactions in "infections and infestations" and "metabolism and nutrition disorders". Moreover, "endocrine disorders" were the factor associated with the highest risk of prolonged hospitalization due to trastuzumab deruxtecan (T-DXd). The safety of tucatinib among TKI drugs is greater than that of other drugs.

conclusionIn general, from the perspective of the effects of the three classes of drugs on the various body systems of patients, we should focus on mAb-associated "cardiac disorders", ADC-associated "hepatobiliary disorders", "respiratory, thoracic and mediastinal disorders", and TKI-associated "gastrointestinal disorders.

Indexed as

Antineoplastic AgentsBreast NeoplasmsDrug-Related Side Effects and Adverse ReactionsErb-b2 Receptor Tyrosine KinasesProtein Kinase InhibitorsAdultAdverse Drug Reaction Reporting SystemsAgedAntibodies, MonoclonalDatabases, FactualFemaleHumansImmunoconjugatesMiddle AgedPharmacovigilanceTrastuzumabAntibodies, MonoclonalAntineoplastic AgentsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoconjugatesProtein Kinase InhibitorsTrastuzumabAdverse eventsAntibody-drug conjugatesFAERSHER-2-positive breast cancerMonoclonal antibodiesPharmacovigilanceTyrosine kinase inhibitors

Identifiers

PMID40205546
PMCPMC11983758

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.