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Biochem Soc Trans. 2016 Jun 15;44(3):925-31. doi: 10.1042/BST20160001.

Mutational patterns in oncogenes and tumour suppressors.

Author information

1
Bioinformatics Group, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QJ, U.K.
2
Division of Structural Biology, The Institute of Cancer Research, London, SW3 6JB, U.K.
3
Bioinformatics Group, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QJ, U.K. f.pearl@sussex.ac.uk.

Abstract

All cancers depend upon mutations in critical genes, which confer a selective advantage to the tumour cell. Knowledge of these mutations is crucial to understanding the biology of cancer initiation and progression, and to the development of targeted therapeutic strategies. The key to understanding the contribution of a disease-associated mutation to the development and progression of cancer, comes from an understanding of the consequences of that mutation on the function of the affected protein, and the impact on the pathways in which that protein is involved. In this paper we examine the mutation patterns observed in oncogenes and tumour suppressors, and discuss different approaches that have been developed to identify driver mutations within cancers that contribute to the disease progress. We also discuss the MOKCa database where we have developed an automatic pipeline that structurally and functionally annotates all proteins from the human proteome that are mutated in cancer.

KEYWORDS:

mutations; oncogene; tumour suppressor

PMID:
27284061
DOI:
10.1042/BST20160001
[Indexed for MEDLINE]

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