The transcriptomic architecture of common cancers reflects synthetic lethal interactions

Syed Haider1, Rachel Brough2,3, Santiago Madera2

  • 1Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK. Syed.Haider@icr.ac.uk.

Nature Genetics
|March 3, 2025
PubMed

Insights

Cancer cells use transcriptomic buffering to compensate for tumor suppressor gene (TSG) loss. This buffering mechanism, involving synthetic lethal partners, is common across many cancers and offers new therapeutic targets.

Area of Science:

  • Oncology
  • Genetics
  • Systems Biology

Background:

  • Cellular robustness relies on compensatory gene changes to buffer genetic alterations.
  • Synthetic lethality, targeting gene interactions, shows promise in cancer therapy but lacks clinical validation.
  • Understanding buffering mechanisms is crucial for cancer treatment and target identification.

Purpose of the Study:

  • To investigate transcriptomic buffering of tumor suppressor gene (TSG) loss in cancer.
  • To determine if buffering phenomena can be leveraged for synthetic lethality clinical applications.
  • To identify robust synthetic lethal targets based on buffering characteristics.

Main Methods:

  • Integrated analysis of molecular profiling data from over 9,000 cancer samples.
  • Correlated transcriptomic data with results from synthetic lethal screens.
  • Examined buffering in BRCAness cancers and its association with clinical outcomes.

Main Results:

  • Transcriptomic buffering of TSG loss by synthetic lethal partner hyperexpression is a prevalent mechanism in diverse cancers.
  • Buffering is observed in cancers phenocopying TSG loss, like BRCAness.
  • Expression of BRCA1/2 synthetic lethal genes correlates with clinical outcomes in relevant cancers.
  • Genes exhibiting transcriptomic buffering demonstrate more robust synthetic lethal effects.

Conclusions:

  • Transcriptomic buffering helps tumors tolerate TSG loss and shapes cancer's molecular architecture.
  • Buffering mechanisms provide insights for selecting effective synthetic lethal therapeutic targets.
  • This study bridges preclinical synthetic lethality findings with clinical observations.

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