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COSMIC: somatic cancer genetics at high-resolution

COSMIC, the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk) is a high-resolution resource for exploring targets and trends in the genetics of human cancer. Currently the broadest database of mutations in cancer, the information in COSMIC is curated by expert scientists, primari...

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Autores principales: Forbes, Simon A., Beare, David, Boutselakis, Harry, Bamford, Sally, Bindal, Nidhi, Tate, John, Cole, Charlotte G., Ward, Sari, Dawson, Elisabeth, Ponting, Laura, Stefancsik, Raymund, Harsha, Bhavana, Kok, Chai Yin, Jia, Mingming, Jubb, Harry, Sondka, Zbyslaw, Thompson, Sam, De, Tisham, Campbell, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210583/
https://www.ncbi.nlm.nih.gov/pubmed/27899578
http://dx.doi.org/10.1093/nar/gkw1121
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author Forbes, Simon A.
Beare, David
Boutselakis, Harry
Bamford, Sally
Bindal, Nidhi
Tate, John
Cole, Charlotte G.
Ward, Sari
Dawson, Elisabeth
Ponting, Laura
Stefancsik, Raymund
Harsha, Bhavana
Kok, Chai Yin
Jia, Mingming
Jubb, Harry
Sondka, Zbyslaw
Thompson, Sam
De, Tisham
Campbell, Peter J.
author_facet Forbes, Simon A.
Beare, David
Boutselakis, Harry
Bamford, Sally
Bindal, Nidhi
Tate, John
Cole, Charlotte G.
Ward, Sari
Dawson, Elisabeth
Ponting, Laura
Stefancsik, Raymund
Harsha, Bhavana
Kok, Chai Yin
Jia, Mingming
Jubb, Harry
Sondka, Zbyslaw
Thompson, Sam
De, Tisham
Campbell, Peter J.
author_sort Forbes, Simon A.
collection PubMed
description COSMIC, the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk) is a high-resolution resource for exploring targets and trends in the genetics of human cancer. Currently the broadest database of mutations in cancer, the information in COSMIC is curated by expert scientists, primarily by scrutinizing large numbers of scientific publications. Over 4 million coding mutations are described in v78 (September 2016), combining genome-wide sequencing results from 28 366 tumours with complete manual curation of 23 489 individual publications focused on 186 key genes and 286 key fusion pairs across all cancers. Molecular profiling of large tumour numbers has also allowed the annotation of more than 13 million non-coding mutations, 18 029 gene fusions, 187 429 genome rearrangements, 1 271 436 abnormal copy number segments, 9 175 462 abnormal expression variants and 7 879 142 differentially methylated CpG dinucleotides. COSMIC now details the genetics of drug resistance, novel somatic gene mutations which allow a tumour to evade therapeutic cancer drugs. Focusing initially on highly characterized drugs and genes, COSMIC v78 contains wide resistance mutation profiles across 20 drugs, detailing the recurrence of 301 unique resistance alleles across 1934 drug-resistant tumours. All information from the COSMIC database is available freely on the COSMIC website.
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spelling pubmed-52105832017-01-05 COSMIC: somatic cancer genetics at high-resolution Forbes, Simon A. Beare, David Boutselakis, Harry Bamford, Sally Bindal, Nidhi Tate, John Cole, Charlotte G. Ward, Sari Dawson, Elisabeth Ponting, Laura Stefancsik, Raymund Harsha, Bhavana Kok, Chai Yin Jia, Mingming Jubb, Harry Sondka, Zbyslaw Thompson, Sam De, Tisham Campbell, Peter J. Nucleic Acids Res Database Issue COSMIC, the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk) is a high-resolution resource for exploring targets and trends in the genetics of human cancer. Currently the broadest database of mutations in cancer, the information in COSMIC is curated by expert scientists, primarily by scrutinizing large numbers of scientific publications. Over 4 million coding mutations are described in v78 (September 2016), combining genome-wide sequencing results from 28 366 tumours with complete manual curation of 23 489 individual publications focused on 186 key genes and 286 key fusion pairs across all cancers. Molecular profiling of large tumour numbers has also allowed the annotation of more than 13 million non-coding mutations, 18 029 gene fusions, 187 429 genome rearrangements, 1 271 436 abnormal copy number segments, 9 175 462 abnormal expression variants and 7 879 142 differentially methylated CpG dinucleotides. COSMIC now details the genetics of drug resistance, novel somatic gene mutations which allow a tumour to evade therapeutic cancer drugs. Focusing initially on highly characterized drugs and genes, COSMIC v78 contains wide resistance mutation profiles across 20 drugs, detailing the recurrence of 301 unique resistance alleles across 1934 drug-resistant tumours. All information from the COSMIC database is available freely on the COSMIC website. Oxford University Press 2017-01-04 2016-11-29 /pmc/articles/PMC5210583/ /pubmed/27899578 http://dx.doi.org/10.1093/nar/gkw1121 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Forbes, Simon A.
Beare, David
Boutselakis, Harry
Bamford, Sally
Bindal, Nidhi
Tate, John
Cole, Charlotte G.
Ward, Sari
Dawson, Elisabeth
Ponting, Laura
Stefancsik, Raymund
Harsha, Bhavana
Kok, Chai Yin
Jia, Mingming
Jubb, Harry
Sondka, Zbyslaw
Thompson, Sam
De, Tisham
Campbell, Peter J.
COSMIC: somatic cancer genetics at high-resolution
title COSMIC: somatic cancer genetics at high-resolution
title_full COSMIC: somatic cancer genetics at high-resolution
title_fullStr COSMIC: somatic cancer genetics at high-resolution
title_full_unstemmed COSMIC: somatic cancer genetics at high-resolution
title_short COSMIC: somatic cancer genetics at high-resolution
title_sort cosmic: somatic cancer genetics at high-resolution
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210583/
https://www.ncbi.nlm.nih.gov/pubmed/27899578
http://dx.doi.org/10.1093/nar/gkw1121
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