KRASG12C inhibition produces a driver-limited state revealing collateral dependencies

Kevin Lou1, Veronica Steri2,3, Alex Y Ge2,4

  • 1Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA.

Science Signaling
|May 30, 2019
PubMed

Insights

Targeting KRAS G12C with new inhibitors shows promise for cancer treatment. Researchers identified "collateral dependencies" to enhance therapy effectiveness and block cancer cell survival.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • KRAS G12C is a common oncogenic driver in various cancers.
  • KRAS G12C inhibitors offer a targeted therapeutic approach by binding to the mutant cysteine residue.
  • Understanding resistance mechanisms and dependencies is crucial for optimizing KRAS G12C inhibitor efficacy.

Purpose of the Study:

  • To systematically identify genetic interactions with KRAS G12C inhibitors using a CRISPR interference platform.
  • To discover genes that, when lost, sensitize cells to KRAS G12C inhibition, termed "collateral dependencies" (CDs).
  • To explore combination therapies targeting these CDs for enhanced anti-cancer effects.

Main Methods:

  • Utilized a genome-scale CRISPR interference (CRISPRi) functional genomics platform.
  • Screened cellular models of KRAS G12C-mutant lung and pancreatic cancer.
  • Identified genes essential in the KRAS G12C-inhibitor-treated state.

Main Results:

  • Discovered novel "collateral dependencies" (CDs) – genes whose loss enhances sensitivity to KRAS G12C inhibitors.
  • Identified two classes of combination therapies targeting CDs.
  • Demonstrated that targeting CDs can increase KRAS G12C target engagement and block residual survival pathways in vitro and in vivo.

Conclusions:

  • KRAS G12C inhibitors represent a significant advancement in oncogene-specific cancer therapy.
  • Collateral dependencies offer new targets for combination strategies to overcome treatment resistance.
  • A framework for assessing genetic dependencies induced by oncogene inhibition was proposed.

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