A consensus set of genetic vulnerabilities to ATR inhibition

Nicole Hustedt1, Alejandro Álvarez-Quilón1, Andrea McEwan1

  • 1Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario, Canada M5G 1X5.

Open Biology
|September 12, 2019
PubMed

Insights

Researchers identified 117 genes critical for surviving suppressed ataxia-telangiectasia and Rad3-related (ATR) kinase activity. This discovery aids in understanding genome integrity and may reveal biomarkers for ATR inhibitor response in cancer therapy.

Area of Science:

  • Genetics
  • Molecular Biology
  • Cancer Biology

Background:

  • The ataxia-telangiectasia and Rad3-related (ATR) kinase pathway is crucial for managing DNA replication stress in eukaryotes.
  • ATR stabilizes replication forks, regulates DNA replication, and prevents mitotic entry with damaged DNA.
  • ATR inhibitors are under clinical investigation for cancer treatment, necessitating a deeper understanding of ATR-dependent pathways.

Purpose of the Study:

  • To genetically map cellular pathways dependent on ATR kinase function.
  • To identify genes that, when mutated, confer hypersensitivity to ATR inhibitors.
  • To provide a comprehensive gene set for understanding ATR biology and predicting therapeutic response.

Main Methods:

  • Genome-scale CRISPR/Cas9 screening was employed to identify genes associated with hypersensitivity to ATR inhibitors.
  • A consensus set of 117 genes was delineated through these screens.
  • 14 genes from the set were validated, including novel modulators of ATR inhibitor response.

Main Results:

  • A consensus set of 117 genes was identified, enriched in DNA replication, repair, and cell cycle regulation.
  • Loss of POLE3/POLE4 proteins, DNA polymerase ε accessory subunits, resulted in significant hypersensitivity to ATR inhibition.
  • Several previously undescribed genes modulating ATR inhibitor response were reported.

Conclusions:

  • The identified 117-gene set is valuable for discovering genes regulating genome integrity and characterizing ATR-related biological processes.
  • This research may reveal biomarkers for predicting patient response to ATR inhibitors in clinical settings.
  • Understanding these genetic dependencies can refine ATR inhibitor-based cancer therapies.

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