Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Center for Pharmacogenomics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
J Cardiovasc Transl Res. 2020 Jun;13(3):377-389. doi: 10.1007/s12265-020-09962-x. Epub 2020 Feb 20.
Chemotherapy-induced cardiovascular toxicity (CICT) is a well-established risk for cancer survivors and causes diseases such as heart failure, arrhythmia, vascular dysfunction, and atherosclerosis. As our knowledge of the precise cardiovascular risks of each chemotherapy agent has improved, it has become clear that genomics is one of the most influential predictors of which patients will experience cardiovascular toxicity. Most recently, GWAS-led, top-down approaches have identified novel genetic variants and their related genes that are statistically related to CICT. Importantly, the advent of human-induced pluripotent stem cell (hiPSC) models provides a system to experimentally test the effect of these genomic findings in vitro, query the underlying mechanisms, and develop novel strategies to mitigate the cardiovascular toxicity liabilities due to these mechanisms. Here we review the cardiovascular toxicities of chemotherapy drugs, discuss how these can be modeled in vitro, and suggest how these models can be used to validate genetic variants that predispose patients to these effects.
化疗引起的心血管毒性(CICT)是癌症幸存者的一个既定风险,可导致心力衰竭、心律失常、血管功能障碍和动脉粥样硬化等疾病。随着我们对每种化疗药物的确切心血管风险的认识的提高,很明显,基因组学是预测哪些患者会经历心血管毒性的最有影响力的预测因子之一。最近,基于 GWAS 的自上而下方法已经确定了与 CICT 具有统计学相关性的新型遗传变异及其相关基因。重要的是,人诱导多能干细胞(hiPSC)模型的出现为在体外实验中测试这些基因组发现的效果、探究潜在机制以及开发减轻由于这些机制引起的心血管毒性的新策略提供了一个系统。在这里,我们综述了化疗药物的心血管毒性,讨论了如何在体外对其进行建模,并提出了如何利用这些模型来验证使患者易患这些影响的遗传变异。