Delineating the evolutionary dynamics of cancer from theory to reality
Delineating the evolutionary dynamics of cancer from theory to reality
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DOI：
10.1038/s43018-020-0079-6
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发表时间：
2020-06-01
期刊：
影响因子：
22.7
通讯作者：
Wu, Catherine J.
中科院分区：
文献类型：
--
作者：
Bozic, Ivana;Wu, Catherine J.
揭示和量化癌症进化动力学的规律，特别是在特定的遗传损伤和个体患者的背景下，有可能彻底改变精确肿瘤学。人类癌症研究的最新技术进步增加了对活体人体数据的获取，从而促进了对现有理论模型的确认或驳斥。在这个视角下，我们讨论了最近在癌症进化的定量数学模型和患者数据的交叉点上的工作，这些模型提供了对肿瘤进化的不同阶段的洞察，包括癌前和恶性进展以及对治疗的反应。Bozic和Wu讨论了定量数学模型如何阐明肿瘤进化的不同阶段，从癌前病变到恶性进展，以及对治疗的反应。
Uncovering and quantifying the laws of the evolutionary dynamics of cancer, in particular in the context of specific genetic lesions and in individual patients, has the potential to revolutionize precision oncology. Recent technological advances in the study of human cancer have increased access to in vivo human data and have thereby facilitated the confirmation or refutation of existing theoretical models. In this Perspective, we discuss recent work at the intersection of quantitative mathematical models of cancer evolution and patient data that provides insights into different stages of tumor evolution, including premalignant and malignant progression and response to therapy. Bozic and Wu discuss how quantitative mathematical models elucidate the various stages of tumor evolution, from premalignancy to malignant progression, and the response to therapy.