Zhao Di, DePinho Ronald A
Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Bioessays. 2017 Aug;39(8). doi: 10.1002/bies.201700076. Epub 2017 Jul 4.
In this review, we summarize recent work exploring a novel conceptual approach termed "synthetic essentiality" as a means for targeting specific tumor suppressor gene deficiencies in cancer. With the aid of extensive publically available cancer genome and clinical databases, "synthetic essentiality" could be utilized to identify synthetic essential genes, which might be occasionally deleted in some cancers but almost always retained in the context of a specific tumor suppressor deficiency. Synthetic essentiality expands the existing concepts for therapeutic strategies, including oncogene addiction, tumor maintenance, synthetic, and collateral lethality, to provide a framework for the discovery of cancer-specific vulnerabilities. Enabled by ever-expanding large-scale genome datasets and genome-scale functional screens, the "synthetic essentiality" framework provides an avenue for the identification of context-specific therapeutic targets and development of patient responder hypotheses for novel and existing therapies.
在本综述中,我们总结了近期的研究工作,这些工作探索了一种名为“合成必需性”的新颖概念方法,作为在癌症中靶向特定肿瘤抑制基因缺陷的手段。借助广泛公开可用的癌症基因组和临床数据库,“合成必需性”可用于识别合成必需基因,这些基因在某些癌症中可能偶尔缺失,但在特定肿瘤抑制因子缺陷的情况下几乎总是保留。合成必需性扩展了现有的治疗策略概念,包括癌基因成瘾、肿瘤维持、合成致死和旁系致死,以提供一个发现癌症特异性脆弱性的框架。在不断扩展的大规模基因组数据集和基因组规模功能筛选的推动下,“合成必需性”框架为识别特定背景下的治疗靶点以及为新疗法和现有疗法制定患者反应者假设提供了一条途径。