A CRISPR-drug perturbational map for identifying compounds to combine with commonly used chemotherapeutics

用于识别与常用化疗药物联合使用的化合物的 CRISPR 药物扰动图

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作者:Hyeong-Min Lee #, William C Wright #, Min Pan, Jonathan Low, Duane Currier, Jie Fang, Shivendra Singh, Stephanie Nance, Ian Delahunty, Yuna Kim, Richard H Chapple, Yinwen Zhang, Xueying Liu, Jacob A Steele, Jun Qi, Shondra M Pruett-Miller, John Easton, Taosheng Chen, Jun Yang, Adam D Durbin, Paul Ge

Abstract

Combination chemotherapy is crucial for successfully treating cancer. However, the enormous number of possible drug combinations means discovering safe and effective combinations remains a significant challenge. To improve this process, we conduct large-scale targeted CRISPR knockout screens in drug-treated cells, creating a genetic map of druggable genes that sensitize cells to commonly used chemotherapeutics. We prioritize neuroblastoma, the most common extracranial pediatric solid tumor, where ~50% of high-risk patients do not survive. Our screen examines all druggable gene knockouts in 18 cell lines (10 neuroblastoma, 8 others) treated with 8 widely used drugs, resulting in 94,320 unique combination-cell line perturbations, which is comparable to the largest existing drug combination screens. Using dense drug-drug rescreening, we find that the top CRISPR-nominated drug combinations are more synergistic than standard-of-care combinations, suggesting existing combinations could be improved. As proof of principle, we discover that inhibition of PRKDC, a component of the non-homologous end-joining pathway, sensitizes high-risk neuroblastoma cells to the standard-of-care drug doxorubicin in vitro and in vivo using patient-derived xenograft (PDX) models. Our findings provide a valuable resource and demonstrate the feasibility of using targeted CRISPR knockout to discover combinations with common chemotherapeutics, a methodology with application across all cancers.

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