While each cancer is the result of an isolated evolutionary process, there are repeated patterns in tumorigenesis defined by recurrent driver mutations and their temporal ordering. Such repeated evolutionary trajectories hold the potential to improve stratification of cancer patients into subtypes with distinct survival and therapy response profiles. However, current cancer phylogeny methods infer large solution spaces of plausible evolutionary histories from the same sequencing data, obfuscating repeated evolutionary patterns.

中文翻译：

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使用共识树检测癌症的进化模式

虽然每种癌症都是孤立的进化过程的结果，但在肿瘤发生中有重复的模式由复发的驱动程序突变及其时间顺序决定。这种重复的进化轨迹具有改善癌症患者分层成具有不同生存和治疗反应特征的亚型的潜力。但是，当前的癌症系统发生方法可从相同的测序数据中推断出合理的进化历史的较大解空间，从而混淆了重复的进化模式。