Evidence mapPaperPMID 40820655Full record

ArticleClinical and translational science2025

Cardiotoxicity Assessment of EGFR Tyrosine Kinase Inhibitors Using Human iPS Cell-Derived Cardiomyocytes and FDA Adverse Events Reporting System.

Shota Yanagida, Hiroyuki Kawagishi, Mitsuo Saito, Hirofumi Hamano, Yoshito Zamami, Yasunari Kanda

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In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Shota YanagidaDivision of Pharmacology, National Institute of Health Sciences (NIHS), Kawasaki, Kanagawa, Japan.ORCID 0009-0002-9563-3443
Hiroyuki KawagishiDivision of Pharmacology, National Institute of Health Sciences (NIHS), Kawasaki, Kanagawa, Japan.ORCID 0000-0001-7622-341X
Mitsuo SaitoJapan Pharmaceutical Information Center (JAPIC), Tokyo, Japan.ORCID 0009-0003-4472-2339
Hirofumi HamanoDepartment of Pharmacy, Okayama University Hospital, Okayama, Japan.ORCID 0000-0002-2231-0179
Yoshito ZamamiDepartment of Pharmacy, Okayama University Hospital, Okayama, Japan.ORCID 0000-0002-7879-423X
Yasunari KandaDivision of Pharmacology, National Institute of Health Sciences (NIHS), Kawasaki, Kanagawa, Japan.ORCID 0000-0003-2527-3526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the development of anti-cancer drugs have contributed to prolonged survival of cancer patients. In contrast, drug-induced cardiotoxicity, particularly cardiac contractile dysfunction, is of growing concern in cancer treatment. Therefore, it is important to understand the risks of anti-cancer drug-induced cardiac contractile dysfunction in drug development. We have previously developed image-based motion analysis using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) to assess the effect of drugs on contractility. However, the utility and predictive potential of image-based motion analysis using hiPSC-CMs for anti-cancer drug-induced cardiac contractile dysfunction have not been well understood. Here we focused on epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) and investigated the correlation between the hiPSC-CMs data and clinical signals of adverse events related to cardiac contractile dysfunction. We examined the effects of the four EGFR-TKIs, osimertinib, gefitinib, afatinib, and erlotinib, on the contractility of hiPSC-CMs using image-based motion analysis. We found that osimertinib decreased contraction velocity and deformation distance in a dose- and time-dependent manner, whereas gefitinib, afatinib, and erlotinib had little effect on these parameters. Next, we examined the real-world data of the EGFR-TKIs using FDA Adverse Event Reporting System (FAERS; JAPIC AERS). Only osimertinib showed significant clinical signals of adverse events related to cardiac contractile dysfunction. These data suggest that hiPSC-CM data correlate with clinical signals in FAERS analysis for four EGFR-TKIs. Thus, image-based motion analysis using hiPSC-CMs can be a useful platform for predicting the risk of anti-cancer drug-induced cardiac contractile dysfunction in patients.

Indexed as

Antineoplastic AgentsCardiotoxicityMyocytes, CardiacProtein Kinase InhibitorsAcrylamidesAfatinibAniline CompoundsErbB ReceptorsGefitinibHumansIndolesInduced Pluripotent Stem CellsMyocardial ContractionPyrimidinesTyrosine Kinase InhibitorsUnited StatesAcrylamidesAfatinibAniline CompoundsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsGefitinibIndolesosimertinibProtein Kinase InhibitorsPyrimidinesTyrosine Kinase InhibitorscardiomyocytescardiotoxicitycontractilityEGFR‐tyrosine kinase inhibitorFAERShuman iPS cell

Identifiers

PMID40820655
PMCPMC12358684

What Socratic holds

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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.