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A comparative genomic approach for identifying synthetic lethal interactions in human cancer

机译:用于鉴定人类癌症中合成致死相互作用的比较基因组方法

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Synthetic lethal interactions enable a novel approach for discovering specific genetic vulnerabilities in cancer cells that can be exploited for the development of therapeutics. Despite successes in model organisms such as yeast, discovering synthetic lethal interactions on a large scale in human cells remains a significant challenge. We describe a comparative genomic strategy for identifying cancer-relevant synthetic lethal interactions whereby candidate interactions are prioritized on the basis of genetic interaction data available in yeast, followed by targeted testing of candidate interactions in human cell lines. As a proof of principle, we describe two novel synthetic lethal interactions in human cells discovered by this approach, one between the tumor suppressor gene SMARCB1 and PSMA4, and another between alveolar soft-part sarcoma-associated ASPSCR1 and PSMC2. These results suggest therapeutic targets for cancers harboring mutations in SMARCB1 or ASPSCR1 and highlight the potential of a targeted, cross-species strategy for identifying synthetic lethal interactions relevant to human cancer.
机译:合成致死相互作用为发现癌细胞中特定的遗传脆弱性提供了一种新颖的方法,可将其用于治疗方法的开发。尽管在诸如酵母的模型生物中取得了成功,但是在人类细胞中大规模发现合成致死相互作用仍然是一项重大挑战。我们描述了一种比较基因组策略,用于识别与癌症相关的合成致死性相互作用,从而根据酵母中可获得的遗传相互作用数据对候选相互作用进行优先排序,然后针对人细胞系中的候选相互作用进行针对性测试。作为原理的证明,我们描述了通过这种方法在人类细胞中发现的两种新型合成致死相互作用,一种在肿瘤抑制基因SMARCB1和PSMA4之间,另一种在与肺泡软性部分肉瘤相关的ASPSCR1和PSMC2之间。这些结果提出了针对具有SMARCB1或ASPSCR1突变的癌症的治疗靶标,并强调了有针对性的跨物种策略用于鉴定与人类癌症相关的合成致死相互作用的潜力。

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