Novel cancer drivers: mining the kinome
Web of Science
AuthorBiankin, AV; Grimmond, SM
Source TitleGenome Medicine: medicine in the post-genomic era
University of Melbourne Author/sGrimmond, Sean
AffiliationCentre for Cancer Research
Document TypeJournal Article
CitationsBiankin, A. V. & Grimmond, S. M. (2013). Novel cancer drivers: mining the kinome. GENOME MEDICINE, 5 (2), https://doi.org/10.1186/gm423.
Access StatusAccess this item via the Open Access location
Open Access URLPublished version
Large-scale cancer genome studies are unveiling significant complexity and heterogeneity even in histopathologically indistinguishable cancers. Differentiating 'driver' mutations that are functionally relevant from 'passenger' mutations is a major challenge in cancer genomics. While recurrent mutations in a gene provides supporting evidence of 'driver' status, novel computational methods and model systems are greatly improving our ability to identify genes important in carcinogenesis. Reimand and Bader have recently shown that driver gene discovery in discrete gene classes (in this case the kinome) is possible across multiple cancer types and has the potential to yield new druggable targets and clinically relevant leads.
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