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Systematic analysis and mechanistic investigation of cardiac adverse events associated with antibody-drug conjugates using FAERS database.

International journal of surgery (London, England) 2026 Vol.112(1) p. 1436-1447

Zheng X, Song Y, Cao Y, Zhang X, Ge K, Zhang Q, Wang Y, Zhang H, Li S, Cao L, Wang L

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[BACKGROUND] Antibody-drug conjugate (ADC), combining monoclonal antibodies with cytotoxic payloads through covalent linkers, is leading a new era of targeted cancer therapy.

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BibTeX ↓ RIS ↓
APA Zheng X, Song Y, et al. (2026). Systematic analysis and mechanistic investigation of cardiac adverse events associated with antibody-drug conjugates using FAERS database.. International journal of surgery (London, England), 112(1), 1436-1447. https://doi.org/10.1097/JS9.0000000000003314
MLA Zheng X, et al.. "Systematic analysis and mechanistic investigation of cardiac adverse events associated with antibody-drug conjugates using FAERS database.." International journal of surgery (London, England), vol. 112, no. 1, 2026, pp. 1436-1447.
PMID 40891914

Abstract

[BACKGROUND] Antibody-drug conjugate (ADC), combining monoclonal antibodies with cytotoxic payloads through covalent linkers, is leading a new era of targeted cancer therapy. Despite its therapeutic success, cardiotoxicity has been a recognized concern in early approved ADCs such as trastuzumab, yet the cardiac safety profiles and mechanisms of recently approved ADCs remain poorly characterized. Assessing the nature of their cardiac events using the FDA Adverse Event Reporting System (FAERS) database is vital for risk assessment in surgical oncology. This study aimed to analyze cardiac adverse events (cAEs) related to ADCs in the FAERS database to detect cardiac risk signals, characterize clinical patterns, and investigate mechanistic pathways, ultimately informing risk mitigation strategies in clinical practice.

[MATERIALS AND METHODS] This systematic study analyzed FAERS data (Jan 2019-Sep 2023) for ADC-related adverse events (AEs). AEs were standardized using MedDRA terminology. Disproportionality analysis using the reporting odds ratio (ROR) method was performed to identify ADC-related cAEs. Potential risk factors were evaluated through logistic regression analyses. To understand the molecular basis, TCGA transcriptome data were analyzed to explore mechanisms of ADC-related cAEs.

[RESULTS] cAEs comprised 11.77% (range: 8.63-23.50%) of all ADC-related reports from 2019 to 2023. A total of 49 cAE categories were identified. The mean age of reports with ADC-related cAEs was 60 (±13) years with 8.67% of reports having a fatal outcome. Breast cancer indications dominated. Combining ADCs with dexamethasone significantly reduced the risk of cardiac failure (ROR decreased from 3.18 to 0.85). ADC-related cAEs correlated with dysregulated HSP70 binding ( R = 0.82, P = 4.66e-4) and heat shock protein pathways.

[CONCLUSIONS] This study underscores the importance of recognizing and managing the cAEs associated with ADC therapy. Our findings provide a nuanced understanding of the burden, risk factors, and potential biological mechanisms of ADC-related cAEs, which can inform clinical decision-making and guide the development of safer and more effective ADC therapies.

MeSH Terms

Humans; Adverse Drug Reaction Reporting Systems; Cardiotoxicity; Databases, Factual; Immunoconjugates; United States; Female; Male; Middle Aged; Aged

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