Related Experiment Video

Updated: Apr 25, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

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Context-dependent synthetic lethality - an emerging precision therapeutic approach

Liang Chang1, Katharin Shaw1,2,3, Francisca Vazquez1

  • 1Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Nature Reviews. Cancer
|April 23, 2026
PubMed

Insights

Context-dependent synthetic lethality exploits cancer-specific vulnerabilities for precision oncology. This approach identifies genetic contexts and mechanisms, like DNA repair defects, to develop targeted therapies beyond direct oncogene inhibition.

Area of Science:

  • Oncology
  • Genetics
  • Pharmacology

Background:

  • Precision oncology aims to expand beyond direct oncogene inhibition.
  • Context-dependent synthetic lethality presents a promising strategy for this expansion.
  • Understanding cancer-intrinsic vulnerabilities is key to identifying synthetic lethal opportunities.

Purpose of the Study:

  • To describe genetic contexts and mechanistic themes underlying synthetic lethality in cancer.
  • To highlight clinical successes and challenges in translating synthetic lethality into therapies.
  • To provide a framework for discovering and developing novel synthetic lethal cancer therapies.

Main Methods:

  • Identification of genetic contexts leading to cancer-intrinsic vulnerabilities.
  • Analysis of common mechanistic themes (e.g., DNA repair defects, metabolic imbalances).
  • Review of clinical case studies and functional genomics data for therapeutic index assessment.

Main Results:

  • Synthetic lethality arises from diverse genetic contexts and mechanisms like DNA repair defects and metabolic imbalances.
  • Clinical successes include poly(ADP-ribose) polymerase (PARP), hypoxia-inducible factor 2 (HIF-2), and Smoothened (SMO) inhibitors.
  • Therapeutic index, informed by functional genomics, is critical for target prioritization and strategy.

Conclusions:

  • Synthetic lethality offers a framework for developing more selective and durable cancer therapies.
  • Understanding molecular mechanisms informs optimal therapeutic modality selection.
  • Emerging approaches facilitate diverse synthetic lethal target discovery and drug development.

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