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Mapping genetic interactions in cancer: a road to rational combination therapies

机译:绘制癌症中的基因相互作用图谱:通向合理组合疗法的道路

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摘要

The discovery of synthetic lethal interactions between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, which are involved in homologous recombination, led to the approval of PARP inhibition as a monotherapy for patients with BRCA1/2-mutated breast or ovarian cancer. Studies following the initial observation of synthetic lethality demonstrated that the reach of PARP inhibitors is well beyond just BRCA1/2 mutants. Insights into the mechanisms of action of anticancer drugs are fundamental for the development of targeted monotherapies or rational combination treatments that will synergize to promote cancer cell death and overcome mechanisms of resistance. The development of targeted therapeutic agents is premised on mapping the physical and functional dependencies of mutated genes in cancer. An important part of this effort is the systematic screening of genetic interactions in a variety of cancer types. Until recently, genetic-interaction screens have relied either on the pairwise perturbations of two genes or on the perturbation of genes of interest combined with inhibition by commonly used anticancer drugs. Here, we summarize recent advances in mapping genetic interactions using targeted, genome-wide, and high-throughput genetic screens, and we discuss the therapeutic insights obtained through such screens. We further focus on factors that should be considered in order to develop a robust analysis pipeline. Finally, we discuss the integration of functional interaction data with orthogonal methods and suggest that such approaches will increase the reach of genetic-interaction screens for the development of rational combination therapies.
机译:参与同源重组的聚(ADP-核糖)聚合酶(PARP)抑制剂与BRCA基因之间合成致死性相互作用的发现,导致PARP抑制被批准作为BRCA1 / 2突变的乳腺癌或卵巢癌患者的单一疗法癌症。初步观察到合成杀伤性后的研究表明,PARP抑制剂的作用范围远远超出BRCA1 / 2突变体。对抗癌药作用机理的深入了解是开发靶向单一疗法或合理联合疗法的基础,这些疗法将协同作用以促进癌细胞死亡并克服耐药机制。靶向治疗剂的开发以绘制癌症中突变基因的物理和功能依赖性为前提。这项工作的重要组成部分是系统筛选各种癌症类型中的遗传相互作用。直到最近,遗传相互作用筛选还是依赖于两个基因的成对扰动,还是依赖于感兴趣基因的扰动并结合了常用抗癌药物的抑制作用。在这里,我们总结了使用有针对性的,全基因组的和高通量的遗传筛选来绘制遗传相互作用的最新进展,并讨论了通过此类筛选获得的治疗见解。我们进一步关注于开发稳健的分析管道应考虑的因素。最后,我们讨论了功能交互数据与正交方法的集成,并建议这种方法将增加遗传交互筛选的范围,以开发合理的联合疗法。

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