Drug-gene Interaction Screens Coupled to Tumor Data Analyses Identify the Most Clinically Relevant Cancer Vulnerabilities Driving Sensitivity to PARP Inhibition

药物-基因相互作用筛选与肿瘤数据分析相结合,确定了临床上最相关的癌症弱点,这些弱点决定了 PARP 抑制的敏感性

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作者:Kunzah Jamal #, Alessandro Galbiati #, Joshua Armenia #, Giuditta Illuzzi, James Hall, Sabrina Bentouati, Daniel Barrell, Miika Ahdesmäki; Functional Genomics Centre Group; Mark J O'Connor, Elisabetta Leo, Josep V Forment

Significance

This study identifies tumor genetic backgrounds where to expand the use of PARPis beyond mutations in BRCA1 or BRCA2. This is achieved by combining the output of unbiased genome-wide loss-of-function CRISPR-Cas9 genetic screens with bioinformatics analysis of biallelic losses of the identified genes in public tumor datasets, unveiling loss of the DNA repair gene XRCC3 as a potential biomarker of PARPi sensitivity in prostate cancer.

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