间断平衡
中性分子进化理论
癌症的体细胞进化
进化生物学
生物
支化(高分子化学)
肿瘤进展
选择(遗传算法)
点突变
肿瘤异质性
遗传异质性
人类进化
癌症
突变
遗传学
表型
计算机科学
基因
人工智能
材料科学
复合材料
作者
Ashley N. Davis,Ruli Gao,Nicholas Navin
标识
DOI:10.1016/j.bbcan.2017.01.003
摘要
Intratumor heterogeneity has been widely reported in human cancers, but our knowledge of how this genetic diversity emerges over time remains limited. A central challenge in studying tumor evolution is the difficulty in collecting longitudinal samples from cancer patients. Consequently, most studies have inferred tumor evolution from single time-point samples, providing very indirect information. These data have led to several competing models of tumor evolution: linear, branching, neutral and punctuated. Each model makes different assumptions regarding the timing of mutations and selection of clones, and therefore has different implications for the diagnosis and therapeutic treatment of cancer patients. Furthermore, emerging evidence suggests that models may change during tumor progression or operate concurrently for different classes of mutations. Finally, we discuss data that supports the theory that most human tumors evolve from a single cell in the normal tissue. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby.
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