可药性
合成致死
清脆的
计算生物学
癌变
抑制器
损失函数
生物
药物开发
功能(生物学)
癌症研究
基因
表型
药物发现
生物信息学
药品
DNA修复
遗传学
药理学
作者
Jeremy Setton,Michael Zinda,Nadeem Riaz,Daniel Durocher,Michal Zimmermann,María Koehler,Jorge S. Reis‐Filho,Simon N. Powell
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2021-04-01
卷期号:11 (7): 1626-1635
被引量:142
标识
DOI:10.1158/2159-8290.cd-20-1503
摘要
Abstract Synthetic lethality (SL) provides a conceptual framework for tackling targets that are not classically “druggable,” including loss-of-function mutations in tumor suppressor genes required for carcinogenesis. Recent technological advances have led to an inflection point in our understanding of genetic interaction networks and ability to identify a wide array of novel SL drug targets. Here, we review concepts and lessons emerging from first-generation trials aimed at testing SL drugs, discuss how the nature of the targeted lesion can influence therapeutic outcomes, and highlight the need to develop clinical biomarkers distinct from those based on the paradigms developed to target activated oncogenes. Significance: SL offers an approach for the targeting of loss of function of tumor suppressor and DNA repair genes, as well as of amplification and/or overexpression of genes that cannot be targeted directly. A next generation of tumor-specific alterations targetable through SL has emerged from high-throughput CRISPR technology, heralding not only new opportunities for drug development, but also important challenges in the development of optimal predictive biomarkers.
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