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Updated: May 24, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
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.
Abstract:
To maintain cell fitness, deleterious genetic alterations are buffered by compensatory changes in additional genes. In cancer, buffering processes could be targeted by synthetic lethality. However, despite the large-scale identification of synthetic lethal effects in preclinical models, evidence that these operate clinically is limited. This impedes the application of synthetic lethal approaches. By integrating molecular profiling data from >9,000 cancers with synthetic lethal screens, we show that transcriptomic buffering of tumor suppressor gene (TSG) loss by hyperexpression of synthetic lethal partners is a common phenomenon, extending to multiple TSGs and histotypes. Transcriptomic buffering is also notable in cancers that phenocopy TSG loss, such as BRCAness cancers, where expression of BRCA1/2 synthetic lethal genes correlates with clinical outcome. Synthetic lethal genes that exhibit transcriptomic buffering also represent more robust synthetic lethal effects. These observations have implications for understanding how tumor cells tolerate TSG loss, in part explain transcriptomic architectures in cancer and provide insight into target selection.
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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