Evidence map›Paper›PMID 40891914›Full record

ArticleInternational journal of surgery (London, England)2026

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

Xiaohan Zheng, Yongzhen Song, Yong Cao, Xuan Zhang, Kaiyuan Ge, Qi Zhang, Yaru Wang, Huimin Zhang, Shi Li, Lei Cao and 1 more

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
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

11 authors.

Xiaohan ZhengDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Yongzhen SongDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Yong CaoDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Xuan ZhangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Kaiyuan GeDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Qi ZhangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Yaru WangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Huimin ZhangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Shi LiSchool of Health Management, Harbin Medical University, Harbin, China.
Lei CaoDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Liuying WangSchool of Health Management, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibody-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

methodsThis 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.

resultscAEs 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.

conclusionsThis 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.

Indexed as

Adverse Drug Reaction Reporting SystemsCardiotoxicityImmunoconjugatesAgedDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesImmunoconjugatesadverse drug eventsantibody–drug conjugatebiological mechanismscardiacFAERS

Identifiers

PMID40891914
PMCPMC12825936

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
Read underepoch 390

Registered trials

None linked

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.