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探索合成致死相互作用作为癌症药物靶点。

Exploration of synthetic lethal interactions as cancer drug targets.

机构信息

Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.

出版信息

Future Oncol. 2010 Nov;6(11):1789-802. doi: 10.2217/fon.10.131.

Abstract

In cancer research the quest continues to identify the Achilles' heel of cancer. The ideal cancer drug targets are those that are essential in tumor cells but not in normal cells. Such targets are defined as cancer-specific vulnerabilities or as synthetic lethal interactions with cancer-specific genetic lesions. The search for synthetic lethal interactions focuses on proteins that are frequently mutated but elude pharmacological inhibition, for example, RAS, or proteins that are lost in cancer cells and by definition cannot be targeted, such as the tumor suppressor genes p53, APC and RB. These genetic interactions could yield alternative, effective targets for cancer treatment. However, it remains very difficult to predict or extrapolate these synthetic lethal interactions based on existing knowledge. With the discovery of RNAi, unbiased large-scale functional genomic screens for the identification of such targets have become possible potentially leading to major advances in the treatment of cancers. In this review we will discuss the biological basis of synthetic lethal interactions in relation to existing targeted therapeutics, lessons taught by targeted therapeutics already used in the clinic and the implementation of RNAi as tool to identify such synthetic lethal interactions.

摘要

在癌症研究中,人们一直在努力寻找癌症的致命弱点。理想的癌症药物靶点是那些在肿瘤细胞中必不可少而在正常细胞中不存在的靶点。这些靶点被定义为癌症特异性脆弱性或与癌症特异性遗传损伤的合成致死相互作用。寻找合成致死相互作用的重点是那些经常发生突变但逃避药物抑制的蛋白质,例如 RAS,或在癌细胞中丢失且根据定义不能成为靶向目标的蛋白质,例如肿瘤抑制基因 p53、APC 和 RB。这些遗传相互作用可能为癌症治疗提供替代的有效靶点。然而,基于现有知识,预测或推断这些合成致死相互作用仍然非常困难。随着 RNAi 的发现,针对这些靶点的无偏大规模功能基因组筛选成为可能,这可能会极大地推动癌症治疗的进展。在这篇综述中,我们将讨论合成致死相互作用的生物学基础与现有的靶向治疗药物的关系,以及已经在临床上使用的靶向治疗药物所带来的教训,以及 RNAi 作为识别这种合成致死相互作用的工具的实施。

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