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A landscape of driver mutations in melanoma.


ABSTRACT: Despite recent insights into melanoma genetics, systematic surveys for driver mutations are challenged by an abundance of passenger mutations caused by carcinogenic UV light exposure. We developed a permutation-based framework to address this challenge, employing mutation data from intronic sequences to control for passenger mutational load on a per gene basis. Analysis of large-scale melanoma exome data by this approach discovered six novel melanoma genes (PPP6C, RAC1, SNX31, TACC1, STK19, and ARID2), three of which-RAC1, PPP6C, and STK19-harbored recurrent and potentially targetable mutations. Integration with chromosomal copy number data contextualized the landscape of driver mutations, providing oncogenic insights in BRAF- and NRAS-driven melanoma as well as those without known NRAS/BRAF mutations. The landscape also clarified a mutational basis for RB and p53 pathway deregulation in this malignancy. Finally, the spectrum of driver mutations provided unequivocal genomic evidence for a direct mutagenic role of UV light in melanoma pathogenesis.

SUBMITTER: Hodis E 

PROVIDER: S-EPMC3600117 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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A landscape of driver mutations in melanoma.

Hodis Eran E   Watson Ian R IR   Kryukov Gregory V GV   Arold Stefan T ST   Imielinski Marcin M   Theurillat Jean-Philippe JP   Nickerson Elizabeth E   Auclair Daniel D   Li Liren L   Place Chelsea C   Dicara Daniel D   Ramos Alex H AH   Lawrence Michael S MS   Cibulskis Kristian K   Sivachenko Andrey A   Voet Douglas D   Saksena Gordon G   Stransky Nicolas N   Onofrio Robert C RC   Winckler Wendy W   Ardlie Kristin K   Wagle Nikhil N   Wargo Jennifer J   Chong Kelly K   Morton Donald L DL   Stemke-Hale Katherine K   Chen Guo G   Noble Michael M   Meyerson Matthew M   Ladbury John E JE   Davies Michael A MA   Gershenwald Jeffrey E JE   Wagner Stephan N SN   Hoon Dave S B DS   Schadendorf Dirk D   Lander Eric S ES   Gabriel Stacey B SB   Getz Gad G   Garraway Levi A LA   Chin Lynda L  

Cell 20120701 2


Despite recent insights into melanoma genetics, systematic surveys for driver mutations are challenged by an abundance of passenger mutations caused by carcinogenic UV light exposure. We developed a permutation-based framework to address this challenge, employing mutation data from intronic sequences to control for passenger mutational load on a per gene basis. Analysis of large-scale melanoma exome data by this approach discovered six novel melanoma genes (PPP6C, RAC1, SNX31, TACC1, STK19, and  ...[more]

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