Synthetic lethality as an engine for cancer drug target discovery

可药性 药物发现 合成致死 清脆的 癌症 遗传筛选 计算生物学 生物信息学 生物 表型 DNA修复 遗传学 基因
作者
Alan Huang,Levi A. Garraway,Alan Ashworth,Barbara Weber
出处
期刊:Nature Reviews Drug Discovery [Springer Nature]
卷期号:19 (1): 23-38 被引量:292
标识
DOI:10.1038/s41573-019-0046-z
摘要

The first wave of genetically targeted therapies for cancer focused on drugging gene products that are recurrently mutated in specific cancer types. However, mutational analysis of tumours has largely been exhausted as a strategy for the identification of new cancer targets that are druggable with conventional approaches. Furthermore, some known genetic drivers of cancer have not been directly targeted yet owing to their molecular structure (undruggable oncogenes) or because they result in functional loss (tumour suppressor genes). Functional genomic screening based on the genetic concept of synthetic lethality provides an avenue to discover drug targets in all these areas. Although synthetic lethality is not a new idea, recent advances, including CRISPR-based gene editing, have made possible systematic screens for synthetic lethal drug targets in human cancers. Such approaches have broad potential to drive the discovery of the next wave of genetic cancer targets and ultimately the introduction of effective medicines that are still needed for most cancers. Genomic screenings have enabled the discovery of synthetic lethal partners as potential drug targets in cancer. This Review discusses how the genetic concept of synthetic lethality paired with CRISPR-based functional genomic screening can be applied to identify additional synthetic lethal pairs as new and druggable cancer targets.
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