A Landscape of Driver Mutations in Melanoma

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 sequence...

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Published inCell Vol. 150; no. 2; pp. 251 - 263
Main Authors Hodis, Eran, Watson, Ian R., Kryukov, Gregory V., Arold, Stefan T., Imielinski, Marcin, Theurillat, Jean-Philippe, Nickerson, Elizabeth, Auclair, Daniel, Li, Liren, Place, Chelsea, DiCara, Daniel, Ramos, Alex H., Lawrence, Michael S., Cibulskis, Kristian, Sivachenko, Andrey, Voet, Douglas, Saksena, Gordon, Stransky, Nicolas, Onofrio, Robert C., Winckler, Wendy, Ardlie, Kristin, Wagle, Nikhil, Wargo, Jennifer, Chong, Kelly, Morton, Donald L., Stemke-Hale, Katherine, Chen, Guo, Noble, Michael, Meyerson, Matthew, Ladbury, John E., Davies, Michael A., Gershenwald, Jeffrey E., Wagner, Stephan N., Hoon, Dave S.B., Schadendorf, Dirk, Lander, Eric S., Gabriel, Stacey B., Getz, Gad, Garraway, Levi A., Chin, Lynda
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 20.07.2012
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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. [Display omitted] ► Landscape of driver mutations by exon sequencing of 121 melanoma tumor/normal pairs ► Method for detecting genes with driver mutations in high-mutation-rate setting ► PPP6C, RAC1, SNX31, TACC1, STK19, and ARID2 are significantly mutated melanoma genes ► Signature spectrum of UV mutagenesis accounts for 46% of driver mutations found A statistical approach for analyzing exome sequencing data differentiates between driver mutations and the abundant passenger mutations found in melanoma due to UV light exposure. Analysis of whole-exome sequence data from 121 tumors identifies six new melanoma genes and defines a landscape of driver mutations in this challenging malignancy.
AbstractList Despite recent insights into melanoma genetics, systematic surveys for driver mutations are challenged by an abundance of passenger mutations caused by carcinogenic ultraviolet (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.
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.
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. [Display omitted] ► Landscape of driver mutations by exon sequencing of 121 melanoma tumor/normal pairs ► Method for detecting genes with driver mutations in high-mutation-rate setting ► PPP6C, RAC1, SNX31, TACC1, STK19, and ARID2 are significantly mutated melanoma genes ► Signature spectrum of UV mutagenesis accounts for 46% of driver mutations found A statistical approach for analyzing exome sequencing data differentiates between driver mutations and the abundant passenger mutations found in melanoma due to UV light exposure. Analysis of whole-exome sequence data from 121 tumors identifies six new melanoma genes and defines a landscape of driver mutations in this challenging malignancy.
Author Kryukov, Gregory V.
Ladbury, John E.
Winckler, Wendy
Hodis, Eran
Chong, Kelly
Chen, Guo
Li, Liren
Chin, Lynda
Arold, Stefan T.
Davies, Michael A.
Watson, Ian R.
Imielinski, Marcin
Place, Chelsea
Schadendorf, Dirk
Ramos, Alex H.
Auclair, Daniel
Wagle, Nikhil
Stemke-Hale, Katherine
Gershenwald, Jeffrey E.
Sivachenko, Andrey
Lawrence, Michael S.
Saksena, Gordon
Morton, Donald L.
Onofrio, Robert C.
Noble, Michael
Lander, Eric S.
Cibulskis, Kristian
Voet, Douglas
Wargo, Jennifer
Hoon, Dave S.B.
Wagner, Stephan N.
Meyerson, Matthew
Stransky, Nicolas
DiCara, Daniel
Garraway, Levi A.
Ardlie, Kristin
Getz, Gad
Nickerson, Elizabeth
Theurillat, Jean-Philippe
Gabriel, Stacey B.
AuthorAffiliation 3 Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
4 Department of Biochemistry and Molecular Biology and Center for Biomolecular Structure and Function, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
18 Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA
16 Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna and CeMM-Research, Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria
14 Department of Molecular Oncology, John Wayne Cancer Institute, Santa Monica, CA 90404, USA
17 Department of Dermatology, University Hospital Essen, 45122 Essen, Germany
7 Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
11 Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02115, USA
9 Institute for Applied Cancer Scie
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/22817889$$D View this record in MEDLINE/PubMed
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Snippet Despite recent insights into melanoma genetics, systematic surveys for driver mutations are challenged by an abundance of passenger mutations caused by...
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SubjectTerms Amino Acid Sequence
carcinogenicity
Cells, Cultured
Exome
genes
Genome-Wide Association Study
Humans
Melanocytes - metabolism
melanoma
Melanoma - genetics
Models, Molecular
Molecular Sequence Data
Mutagenesis
mutagenicity
mutation
pathogenesis
Proto-Oncogene Proteins B-raf - genetics
rac1 GTP-Binding Protein - genetics
Sequence Alignment
surveys
ultraviolet radiation
Ultraviolet Rays
Title A Landscape of Driver Mutations in Melanoma
URI https://dx.doi.org/10.1016/j.cell.2012.06.024
https://www.ncbi.nlm.nih.gov/pubmed/22817889
https://pubmed.ncbi.nlm.nih.gov/PMC3600117
Volume 150
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