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利用人诱导多能干细胞衍生的心肌细胞和美国食品药品监督管理局不良事件报告系统评估表皮生长因子受体酪氨酸激酶抑制剂的心脏毒性

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

作者信息

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

机构信息

Division of Pharmacology, National Institute of Health Sciences (NIHS), Kawasaki, Kanagawa, Japan.

Japan Pharmaceutical Information Center (JAPIC), Tokyo, Japan.

出版信息

Clin Transl Sci. 2025 Aug;18(8):e70325. doi: 10.1111/cts.70325.

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.

摘要

抗癌药物研发的最新进展延长了癌症患者的生存期。相比之下,药物诱导的心脏毒性,尤其是心脏收缩功能障碍,在癌症治疗中日益受到关注。因此,了解抗癌药物诱导的心脏收缩功能障碍在药物研发中的风险很重要。我们之前开发了基于图像的运动分析方法,利用人诱导多能干细胞衍生的心肌细胞(hiPSC-CMs)来评估药物对收缩性的影响。然而,使用hiPSC-CMs进行基于图像的运动分析在预测抗癌药物诱导的心脏收缩功能障碍方面的实用性和潜力尚未得到充分理解。在此,我们聚焦于表皮生长因子受体(EGFR)-酪氨酸激酶抑制剂(TKIs),研究了hiPSC-CMs数据与心脏收缩功能障碍相关不良事件临床信号之间的相关性。我们使用基于图像的运动分析方法,检测了四种EGFR-TKIs(奥希替尼、吉非替尼、阿法替尼和厄洛替尼)对hiPSC-CMs收缩性的影响。我们发现,奥希替尼以剂量和时间依赖性方式降低收缩速度和变形距离,而吉非替尼、阿法替尼和厄洛替尼对这些参数影响很小。接下来,我们使用美国食品药品监督管理局不良事件报告系统(FAERS;日本药品不良反应监测系统AERS)检查了EGFR-TKIs的真实世界数据。只有奥希替尼显示出与心脏收缩功能障碍相关不良事件的显著临床信号。这些数据表明,在四种EGFR-TKIs的FAERS分析中,hiPSC-CMs数据与临床信号相关。因此,使用hiPSC-CMs进行基于图像的运动分析可以成为预测患者抗癌药物诱导的心脏收缩功能障碍风险的有用平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7285/12358684/221a63b6c28b/CTS-18-e70325-g005.jpg

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