Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Graduate School, Beijing University of Chinese Medicine, Beijing, China.
Curr Treat Options Oncol. 2024 May;25(5):679-701. doi: 10.1007/s11864-024-01203-6. Epub 2024 Apr 27.
Cardio-oncology is an emerging interdisciplinary field dedicated to the early detection and treatment of adverse cardiovascular events associated with anticancer treatment, and current clinical management of anticancer-treatment-related cardiovascular toxicity (CTR-CVT) remains limited by a lack of detailed phenotypic data. However, the promise of diagnosing CTR-CVT using deep phenotyping has emerged with the development of precision medicine, particularly the use of omics-based methodologies to discover sensitive biomarkers of the disease. In the future, combining information produced by a variety of omics methodologies could expand the clinical practice of cardio-oncology. In this review, we demonstrate how omics approaches can improve our comprehension of CTR-CVT deep phenotyping, discuss the positive and negative aspects of available omics approaches for CTR-CVT diagnosis, and outline how to integrate multiple sets of omics data into individualized monitoring and treatment. This will offer a reliable technical route for lowering cardiovascular morbidity and mortality in cancer patients and survivors.
肿瘤心脏病学是一个新兴的跨学科领域,致力于早期发现和治疗与癌症治疗相关的不良心血管事件,并对当前癌症治疗相关心血管毒性(CTR-CVT)的临床管理仍然受到缺乏详细表型数据的限制。然而,随着精准医学的发展,特别是使用基于组学的方法来发现疾病的敏感生物标志物,使用深度表型来诊断 CTR-CVT 的前景已经出现。在未来,通过结合各种组学方法产生的信息,可以扩展肿瘤心脏病学的临床实践。在这篇综述中,我们展示了组学方法如何能够提高我们对 CTR-CVT 深度表型的理解,讨论了目前用于 CTR-CVT 诊断的组学方法的优缺点,并概述了如何将多组组学数据整合到个体化监测和治疗中。这将为降低癌症患者和幸存者的心血管发病率和死亡率提供可靠的技术途径。
Curr Treat Options Oncol. 2024-5
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