抗药性
癌症
还原论
癌症治疗
鉴定(生物学)
癌细胞
药品
抗性(生态学)
计算生物学
肿瘤异质性
计算机科学
药理学
抗癌药物
医学
生物信息学
生物
遗传学
内科学
认识论
哲学
植物
生态学
作者
Neil Vasan,José Baselga,David M. Hyman
出处
期刊:Nature
[Springer Nature]
日期:2019-11-13
卷期号:575 (7782): 299-309
被引量:1868
标识
DOI:10.1038/s41586-019-1730-1
摘要
The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to define and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identification of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These different approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy. A review of drug resistance in cancer analyses each biological determinant of resistance separately and discusses existing and new therapeutic strategies to combat the problem as a whole.
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