Brief. Bioinformatics - Deciphering oncogenic drivers: from single genes to integrated pathways.

Tópicos

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Resumo

Technological advances in next-generation sequencing have uncovered a wide spectrum of aberrations in cancer genomes. The extreme diversity in cancer mutations necessitates computational approaches to differentiate between the 'drivers' with vital function in cancer progression and those nonfunctional 'passengers'. Although individual driver mutations are routinely identified, mutational profiles of different tumors are highly heterogeneous. There is growing consensus that pathways rather than single genes are the primary target of mutations. Here we review extant bioinformatics approaches to identifying oncogenic drivers at different mutational levels, highlighting the strategies for discovering driver pathways and networks from cancer mutation data. These approaches will help reduce the mutation complexity, thus providing a simplified picture of cancer.

Resumo Limpo

technolog advanc nextgener sequenc uncov wide spectrum aberr cancer genom extrem divers cancer mutat necessit comput approach differenti driver vital function cancer progress nonfunct passeng although individu driver mutat routin identifi mutat profil differ tumor high heterogen grow consensus pathway rather singl gene primari target mutat review extant bioinformat approach identifi oncogen driver differ mutat level highlight strategi discov driver pathway network cancer mutat data approach will help reduc mutat complex thus provid simplifi pictur cancer

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