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Exploration of synthetic lethal interactions as cancer drug targets.

机译:探索合成致死性相互作用作为抗癌药物的靶标。

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摘要

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.
机译:在癌症研究中,人们一直在寻找癌症的致命弱点。理想的癌症药物靶标是那些在肿瘤细胞中必需但在正常细胞中不是必需的靶标。此类目标被定义为特定于癌症的脆弱性或与特定于癌症的遗传损伤的合成致死相互作用。合成致死相互作用的研究集中在经常突变但没有药理学抑制作用的蛋白质(例如RAS)或癌细胞中丢失且无法定义的蛋白质,例如肿瘤抑制基因p53,APC和RB。这些遗传相互作用可以产生替代的,有效的癌症治疗靶标。然而,基于现有知识很难预测或推断这些合成的致命相互作用。随着RNAi的发现,用于鉴定此类靶标的无偏大规模功能基因组筛选已可能潜在地导致癌症治疗的重大进展。在这篇综述中,我们将讨论与现有靶向治疗有关的合成致死相互作用的生物学基础,临床上已经使用的靶向治疗剂所教的课程以及RNAi作为鉴定此类合成致死相互作用的工具的实施方法。

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