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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Synthetic Lethality and Cancer - Penetrance as the Major Barrier
Colm J Ryan1, Ilirjana Bajrami2, Christopher J Lord2
1School of Computer Science and Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Abstract:
Synthetic lethality has long been proposed as an approach for targeting genetic defects in tumours. Despite a decade of screening efforts, relatively few robust synthetic lethal targets have been identified. Improved genetic perturbation techniques, including CRISPR/Cas9 gene editing, have resulted in renewed enthusiasm for searching for synthetic lethal effects in cancer. An implicit assumption behind this enthusiasm is that the lack of reproducibly identified targets can be attributed to limitations of RNAi technologies. We argue here that a bigger hurdle is that most synthetic lethal interactions (SLIs) are not highly penetrant, in other words they are not robust to the extensive molecular heterogeneity seen in tumours. We outline strategies for identifying and prioritising SLIs that are most likely to be highly penetrant.
Insights
Synthetic lethality offers a promising strategy for cancer treatment by targeting tumor-specific genetic defects. However, most synthetic lethal interactions are not robust to tumor heterogeneity, necessitating new strategies for identifying highly penetrant targets.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Synthetic lethality is a promising strategy for targeting genetic defects in tumors.
- Despite extensive screening, few robust synthetic lethal targets have been identified.
- Recent advances in genetic perturbation technologies like CRISPR/Cas9 have renewed interest in cancer research.
Purpose of the Study:
- To address the challenge of identifying robust synthetic lethal interactions (SLIs) for cancer therapy.
- To investigate the limitations of current approaches in discovering clinically relevant SLIs.
- To propose strategies for identifying highly penetrant SLIs that are effective against tumor molecular heterogeneity.
Main Methods:
- Review of existing screening efforts and genetic perturbation technologies.
- Analysis of the impact of molecular heterogeneity on the penetrance of SLIs.
- Development of a framework for prioritizing SLIs based on their robustness.
Main Results:
- The primary limitation in identifying synthetic lethal targets is not technology but the low penetrance of most SLIs.
- Most SLIs are not robust to the extensive molecular heterogeneity found in tumors.
- Strategies are needed to identify and prioritize SLIs that exhibit high penetrance.
Conclusions:
- The lack of robust synthetic lethal targets is primarily due to low penetrance, not technological limitations.
- Future research should focus on identifying synthetic lethal interactions that are highly penetrant and overcome tumor heterogeneity.
- Developing methods to prioritize robust SLIs is crucial for advancing synthetic lethality as a cancer treatment strategy.
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