Novel cancer drivers: mining the kinome

Biankin, Andrew V. and Grimmond, Sean M. (2013) Novel cancer drivers: mining the kinome. Genome Medicine, 5 2: 19.1-19.3. doi:10.1186/gm423

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Author Biankin, Andrew V.
Grimmond, Sean M.
Title Novel cancer drivers: mining the kinome
Journal name Genome Medicine   Check publisher's open access policy
ISSN 1756-994X
Publication date 2013-02
Sub-type Article (original research)
DOI 10.1186/gm423
Open Access Status File (Publisher version)
Volume 5
Issue 2
Start page 19.1
End page 19.3
Total pages 3
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2014
Language eng
Abstract 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.
Keyword Genomic analyses
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 19

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
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