henhaobio
Sign in

bioRxivCancer Biology

An integrative oncogene-dependency map identifies unique vulnerabilities of oncogenic EGFR, KRAS, and RIT1 in lung cancer

Athea Vichas, Naomi T. Nkinsi, Amanda Riley, Phoebe C.R. Parrish, Fujiko Duke, Jenny Chen, Iris Fung, Jacqueline Watson, Matthew Rees, John K. Lee, Federica PiccioniiD, Emily M. Hatch, Alice H. BergeriD

PDFDOIPreprint

Abstract

ABSTRACTAdvances in precision oncology have transformed cancer therapy from broadly-applied cytotoxic therapy to personalized treatments based on each tumor’s unique molecular alterations. Here we investigate the oncogene-specific dependencies conferred by lung cancer driver variants of KRAS, EGFR, and RIT1. Integrative analysis of genome-wide CRISPR screens in isogenic cell lines identified shared and unique vulnerabilities of each oncogene. The non-identical landscape of dependencies underscores the importance of genotype-guided therapies to maximize tumor responses. Combining genetic screening data with small molecule sensitivity profiling, we identify a unique vulnerability of RIT1-mutant cells to loss of spindle assembly checkpoint regulators. This sensitivity may be related to a novel role of RIT1 in mitosis; we find that oncogenic RIT1M90I alters mitotic timing via weakening of the spindle assembly checkpoint. In addition, we uncovered a specific cooperation of mutant RIT1 with loss of Hippo pathway genes. In human lung cancer, RIT1 mutations and amplifications frequently co-occur with loss of Hippo pathway gene expression. These results provide the first genome-wide atlas of oncogenic RIT1-cooperating factors and genetic dependencies and identify components of the RAS pathway, spindle assembly checkpoint, and Hippo/YAP1 network as candidate therapeutic targets in RIT1-mutant lung cancer.Competing Interest StatementThe authors have declared no competing interest.View Full Text

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.