Harnessing synthetic lethality — which occurs when the inhibition of two non-essential genes is lethal — is attracting significant attention as a strategy to selectively treat cancer. Here, the authors use the data mining synthetic lethality identification pipeline (DAISY) to analyse the accumulating cancer genomic data. They construct a genome-wide network of synthetic lethality interactions in cancer, which they demonstrate to successfully predict gene essentiality, drug efficacy and clinical prognosis.
References
Jerby-Arnon, L. et al. Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality. Cell 158, 1199–1209 (2014)
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Crunkhorn, S. Predicting synthetic lethal interactions. Nat Rev Drug Discov 13, 812 (2014). https://doi.org/10.1038/nrd4464
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DOI: https://doi.org/10.1038/nrd4464