预测基因组学：使用基因组测序数据预测肿瘤临床表型的癌症标志网络框架
Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data
摘要：
我们讨论了一个癌症标志网络框架，用于对基因组测序数据进行建模，以预测癌症克隆演变和相关的临床表型。结合基因组测序数据，试图预测个性化的药物靶点，耐药性和癌症患者的转移，以及健康个体的癌症风险，使用这个框架的策略进行了讨论。准确预测肿瘤克隆演变和临床表型对肿瘤的及时诊断、个体化管理和预防具有重要意义。
英文摘要：
We discuss a cancer hallmark network framework for modelling genome-sequencing data to predict cancer clonal evolution and associated clinical phenotypes. Strategies of using this framework in conjunction with genome sequencing data in an attempt to predict personalized drug targets, drug resistance, and metastasis for a cancer patient, as well as cancer risks for a healthy individual are discussed. Accurate prediction of cancer clonal evolution and clinical phenotypes will have substantial impact on timely diagnosis, personalized management and prevention of cancer.
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