Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine

被引：207

作者：

Lipinski, Kamil A. ^{[1
]}

Barber, Louise J. ^{[1
]}

Davies, Matthew N. ^{[1
]}

Ashenden, Matthew ^{[1
]}

Sottoriva, Andrea ^{[1
]}

Gerlinger, Marco ^{[1
,2
]}

机构：

[1] Inst Canc Res, Ctr Evolut & Canc, London, England

[2] Royal Marsden Hosp, Gastrointestinal Canc Unit, London, England

来源：

TRENDS IN CANCER | 2016年 / 2卷 / 01期

基金：

英国惠康基金; 瑞士国家科学基金会;

关键词：

KINASE DOMAIN MUTATIONS; ACQUIRED-RESISTANCE; INTRATUMOR HETEROGENEITY; COLORECTAL-CANCER; CLONAL EVOLUTION; STEM-CELLS; BENEFICIAL MUTATIONS; DRUG-RESISTANCE; EGFR BLOCKADE; CHRONIC PHASE;

D O I：

10.1016/j.trecan.2015.11.003

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 [肿瘤学];

摘要：

The ability to predict the future behavior of an individual cancer is crucial for precision cancer medicine. The discovery of extensive intratumor heterogeneity and ongoing clonal adaptation in human tumors substantiated the notion of cancer as an evolutionary process. Random events are inherent in evolution and tumor spatial structures hinder the efficacy of selection, which is the only deterministic evolutionary force. This review outlines how the interaction of these stochastic and deterministic processes, which have been extensively studied in evolutionary biology, limits cancer predictability and develops evolutionary strategies to improve predictions. Understanding and advancing the cancer predictability horizon is crucial to improve precision medicine outcomes.

引用

页码：49 / 63

页数：15

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