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Drugging cancer genomes


A recent landmark analysis compared genome-wide mutations and associated 'omics' features for 3,281 tumours across 12 human cancer types. There is a clear need for objective target assessment and prioritization by the drug discovery community to make the best use of such vast amounts of data.

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  1. Kandoth, C. et al. Mutational landscape and significance across 12 major cancer types. Nature 502, 333–339 (2013).

    Article  CAS  Google Scholar 

  2. Vogelstein, B. et al. Cancer genome landscapes. Science 339, 1546–1558 (2013).

    Article  CAS  Google Scholar 

  3. Futreal, P. A. et al. A census of human cancer genes. Nature Rev. Cancer 4, 177–183 (2004).

    Article  CAS  Google Scholar 

  4. Patel, M. N. et al. Objective assessment of cancer genes for drug discovery. Nature Rev. Drug Discov. 12, 35–50 (2013).

    Article  CAS  Google Scholar 

  5. Halling-Brown, M. D. et al. canSAR: an integrated cancer public translational research and drug discovery resource. Nucleic Acids Res. 40, D947–D956 (2012).

    Article  CAS  Google Scholar 

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Correspondence to Paul Workman or Bissan Al-Lazikani.

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Competing interests

The authors work at The Institute of Cancer Research, London, UK, which has a commercial interest in the discovery and development of anticancer drugs.

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Objective analysis of cancer genes (PDF 2031 kb)

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The Cancer Genome Atlas

International Cancer Genome Consortium

Focus on TCGA Pan-Cancer Analysis

canSAR knowledgebase

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Workman, P., Al-Lazikani, B. Drugging cancer genomes. Nat Rev Drug Discov 12, 889–890 (2013).

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