1
|
Mukhopadhyay S, Huang HY, Lin Z, Ranieri M, Li S, Sahu S, Liu Y, Ban Y, Guidry K, Hu H, Lopez A, Sherman F, Tan YJ, Lee YT, Armstrong AP, Dolgalev I, Sahu P, Zhang T, Lu W, Gray NS, Christensen JG, Tang TT, Velcheti V, Khodadadi-Jamayran A, Wong KK, Neel BG. Genome-Wide CRISPR Screens Identify Multiple Synthetic Lethal Targets That Enhance KRASG12C Inhibitor Efficacy. Cancer Res 2023; 83:4095-4111. [PMID: 37729426 PMCID: PMC10841254 DOI: 10.1158/0008-5472.can-23-2729] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/22/2023]
Abstract
Non-small lung cancers (NSCLC) frequently (∼30%) harbor KRAS driver mutations, half of which are KRASG12C. KRAS-mutant NSCLC with comutated STK11 and/or KEAP1 is particularly refractory to conventional, targeted, and immune therapy. Development of KRASG12C inhibitors (G12Ci) provided a major therapeutic advance, but resistance still limits their efficacy. To identify genes whose deletion augments efficacy of the G12Cis adagrasib (MRTX-849) or adagrasib plus TNO155 (SHP2i), we performed genome-wide CRISPR/Cas9 screens on KRAS/STK11-mutant NSCLC lines. Recurrent, potentially targetable, synthetic lethal (SL) genes were identified, including serine-threonine kinases, tRNA-modifying and proteoglycan synthesis enzymes, and YAP/TAZ/TEAD pathway components. Several SL genes were confirmed by siRNA/shRNA experiments, and the YAP/TAZ/TEAD pathway was extensively validated in vitro and in mice. Mechanistic studies showed that G12Ci treatment induced gene expression of RHO paralogs and activators, increased RHOA activation, and evoked ROCK-dependent nuclear translocation of YAP. Mice and patients with acquired G12Ci- or G12Ci/SHP2i-resistant tumors showed strong overlap with SL pathways, arguing for the relevance of the screen results. These findings provide a landscape of potential targets for future combination strategies, some of which can be tested rapidly in the clinic. SIGNIFICANCE Identification of synthetic lethal genes with KRASG12C using genome-wide CRISPR/Cas9 screening and credentialing of the ability of TEAD inhibition to enhance KRASG12C efficacy provides a roadmap for combination strategies. See related commentary by Johnson and Haigis, p. 4005.
Collapse
Affiliation(s)
- Suman Mukhopadhyay
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Hsin-Yi Huang
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Ziyan Lin
- Applied Bioinformatics Laboratories, Office of Science and Research, New York University Grossman School of Medicine, New York, United States
| | - Michela Ranieri
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Shuai Li
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Soumyadip Sahu
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Yingzhuo Liu
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Yi Ban
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Kayla Guidry
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Hai Hu
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Alfonso Lopez
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Fiona Sherman
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Yi Jer Tan
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Yeuan Ting Lee
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Amanda P. Armstrong
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Igor Dolgalev
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Priyanka Sahu
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Tinghu Zhang
- Department of Chemical and Systems Biology, ChEM-H, Stanford Cancer Institute, School of Medicine, Stanford University, California, United States
| | - Wenchao Lu
- Department of Chemical and Systems Biology, ChEM-H, Stanford Cancer Institute, School of Medicine, Stanford University, California, United States
| | - Nathanael S. Gray
- Department of Chemical and Systems Biology, ChEM-H, Stanford Cancer Institute, School of Medicine, Stanford University, California, United States
| | | | - Tracy T. Tang
- Vivace Therapeutics, Inc., San Mateo, California, United States
| | - Vamsidhar Velcheti
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Alireza Khodadadi-Jamayran
- Applied Bioinformatics Laboratories, Office of Science and Research, New York University Grossman School of Medicine, New York, United States
| | - Kwok-Kin Wong
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| | - Benjamin G. Neel
- Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, NYU Langone Health, New York, United States
| |
Collapse
|