Mapping genetic interactions in cancer: a road to rational combination therapies

Beril Tutuncuoglu1,2,3,4, Nevan J Krogan5,6,7,8

  • 1Department of Cellular and Molecular Pharmacology, University of California, San Francisco, 16th Street, Mission Bay Campus, San Francisco, CA, 94158-2140, USA.

Genome Medicine
|October 24, 2019
PubMed

Insights

Synthetic lethal interactions, like those involving poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, are expanding beyond BRCA mutations. Advanced genetic screens offer new insights for developing targeted cancer therapies and combination treatments.

Area of Science:

  • Genetics
  • Oncology
  • Pharmacology

Background:

  • Synthetic lethality between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes led to PARP inhibitor approvals for BRCA1/2-mutated cancers.
  • The therapeutic potential of PARP inhibitors extends beyond BRCA mutations, indicating broader applications in cancer treatment.
  • Understanding drug mechanisms is crucial for developing targeted therapies and combination treatments to enhance cancer cell death and overcome resistance.

Purpose of the Study:

  • To summarize recent advances in mapping genetic interactions using high-throughput screens.
  • To discuss therapeutic insights derived from genetic interaction screens.
  • To outline considerations for developing robust genetic interaction analysis pipelines and integrating functional data for combination therapies.

Main Methods:

  • Review of recent advances in targeted, genome-wide, and high-throughput genetic interaction screens.
  • Discussion of therapeutic insights gained from these screens.
  • Consideration of factors for robust analysis pipeline development and integration with orthogonal methods.

Main Results:

  • Genetic interaction screens, particularly high-throughput methods, are advancing the understanding of gene dependencies in cancer.
  • These screens provide valuable therapeutic insights, expanding the potential applications of drugs like PARP inhibitors.
  • Integration of functional interaction data with other methods can enhance the development of rational combination therapies.

Conclusions:

  • Systematic genetic screening is fundamental for mapping cancer dependencies and developing targeted therapies.
  • Advances in high-throughput screening are crucial for uncovering new therapeutic strategies beyond current applications.
  • Integrating diverse data sources and robust analysis pipelines will broaden the impact of genetic screens on combination therapy development.

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