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  • 1
    In: Nature, Springer Science and Business Media LLC, Vol. 496, No. 7446 ( 2013-04-25), p. 498-503
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 3959-3959
    Abstract: COSMIC, the Catalog Of Somatic Mutations In Cancer (www.sanger.ac.uk/cosmic) is a single resource combining much of the available data on somatic mutations in human cancer. This information is obtained from a number of online sources, including the TCGA and ICGC webportals, the IARC p53 database and the Cancer Genome Project, Sanger Institute, UK; this is then combined with information carefully curated from the scientific literature. Over 20,000 genes have been screened in the search for cancer causing mutations, and details have been curated for all of these, resulting in the annotation of 213,615 mutations across 665,763 tumor samples (COSMIC v56, Nov 2011). The Cancer Gene Census lists all known cancer genes and these are prioritized for curation, generating extensive mutation spectra across 107 point-mutated genes and 111 fusion gene pairs. Increasing whole genome/exome data are also available; currently 559 samples detail 2753 genome rearrangements, 21892 coding and 57396 non-coding point mutations. Most importantly, this information is all rigorously maintained and regularly updated. With new releases every two months, COSMIC is very responsive to the scientific literature, detailing all the latest findings. The data in COSMIC can be examined in a number of different ways. The website has been designed to allow easy graphical browsing of the data, with many mining options to filter desired information. A COSMIC genome browser can be used to visualize COSMIC mutations in a genomic context, and a Biomart is available to download datasets federated with external databases. In addition, the complete data is available for free download for offline analysis. The combination of data from multiple sources in COSMIC allows its use as a discovery tool as well as a reference datasource; substantial mining can be performed between mutant genotypes and clinical phenotypes, searching for novel recurrence patterns between tissues, genes and individual variants. Overall, the top mutated gene reported in human cancer is JAK2, with a published mutation rate of 38% (n=76853), however a phenotype correlation suggests a mutation rate of up to 86% in Polycythaemia Vera, 58% in Myelofibrosis and 55% in Essential Thrombocythaemia. Similarly, KRAS with an overall mutation rate of 23% (n=96055) increases to 69% in Pancreatic ductal carcinomas, and a single report suggests a 70% mutation frequency for MED12 in Uterine Leiomyomas (n=225). In addition to these well characterized cancer genes, new whole-genome screens are beginning to identify many more. For instance the TCGA Ovarian exome screen suggested roles for genes such as CSMD3, HMCN1 and USH2A, and combining multiple whole genome screens suggests roles for further new genes such as BAI3 (13% mutated in lung). As yet, novel recurrent mutations are challenging to identify across studies, but rapidly increasing amounts of whole genome data will make COSMIC a key resource in this search for new therapeutic targets. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3959. doi:1538-7445.AM2012-3959
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
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  • 3
    In: Genome Biology, Springer Science and Business Media LLC, Vol. 12, No. Suppl 1 ( 2011), p. P3-
    Type of Medium: Online Resource
    ISSN: 1465-6906
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2011
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 5142-5142
    Abstract: COSMIC, the Catalogue Of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk/), is the world's largest database of curated somatic mutations. The current version (v62, Nov 2012) has over a million mutations across 800000 samples from 15327 peer-reviewd publications, online data portals such as TCGA, ICGC, the IARC p53 database and the Cancer Genome Project (CGP) at the Sanger Institute, UK. The project aims to build a comprehensive catalogue of somatic mutations prioritized by the Cancer Gene Census (http://cancer.sanger.ac.uk/cancergenome/projects/census/), allowing users to explore correlations between cancer phenotypes and mutant genotypes. At present, a full distribution of somatic mutations have been curated across 116 known cancer genes and 169 gene fusion pairs. A focus on cancer genomes has recently emerged from the rapid expansion of whole genome/exome resequencing, as shown by our "COSMIC Genomes" website (http://cancer.sanger.ac.uk/cancergenome/projects/studies/), already comprising over 4500 tumours across a variety of cancer types. There are a number of ways to examine the data within COSMIC. A newly released website provides an intuitive interface for users to scrutinize the data through numerous filters, including mutation types, histology and tissue types. This is supplimented with statistical summaries presented in many graphs and charts. The website includes a COSMIC genome browser for views across combined cancer genomes, including all mutation types in one graphical window. Many other resources are designed for bioinformatic access including a Biomart, and FTP downloads in a variety of formats (ftp://ftp.sanger.ac.uk/pub/CGP/cosmic/). We actively seek to integrate with the wider bioinformatics community and are integrated within the UCSC and Ensembl genome browsers. COSMIC both documents mutation trends in known cancer genes, and combines distributed information to allow substantial mining of these data for discovery of novel correlations. COSMIC can aid discovery of novel recurrence patterns between variants, genes and tissues in different mutant genotypes and cancer phenotypes. The most frequently mutated gene in COSMIC (v62, Nov 2012), is JAK2 with the p.V617F mutation observed in 36% of all blood cancers examined. This is followed by TP53 with a variety of truncating mutations observed at a total frequency of 29.7%, and KRAS, found mutated in 21% of cancers, most frequently p.G12D in pancreatic tumours. Focusing particularly on the 4571 whole genomes, the most mutated gene is unsurprisingly TP53 at 27.57% (followed by TTN, MUC16, PIK3CA, CSMD3). Many techniques may identify putative novel cancer genes outside the cancer gene census. For instance, in Lung cancer the most mutated genes (correcting for CDS length) are TPTE, FAM5C, CDH10 and KEAP1. The rapid combination of increasingly large datasets in COSMIC ensure its future relevance in discovery of new trends in cancer genetics. Citation Format: Kenric Leung, Chai Yin Kok, Rebecca Shepherd, John Gamble, Mingming Jia, Sally Bamford, Sari Ward, Charlotte Cole, David Beare, Nidhi Bindal, Prasad Gunasekaran, Jon Teague, Simon A. Forbes, Michael R. Stratton, Peter Campbell. COSMIC: Exploring the world's knowledge of somatic mutations in cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5142. doi:10.1158/1538-7445.AM2013-5142
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 5
    In: Cell, Elsevier BV, Vol. 162, No. 4 ( 2015-08), p. 924-
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
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  • 6
    In: Cell, Elsevier BV, Vol. 149, No. 5 ( 2012-05), p. 994-1007
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
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  • 7
    In: Cell, Elsevier BV, Vol. 149, No. 5 ( 2012-05), p. 979-993
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Research Vol. 76, No. 14_Supplement ( 2016-07-15), p. 5285-5285
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 5285-5285
    Abstract: COSMIC (http://cancer.sanger.ac.uk) is an expert-curated database of somatic mutations causing human cancer. Broad and comprehensive in scope, its 75th release (Nov 2015) describes over 3.7 million coding mutations across all human cancer disease types. Mutations are annotated across the entire genome, but expert curation is focused on almost 200 key cancer genes. Now encompassing the majority of molecular mutation mechanisms in oncogenetics, COSMIC additionally describes 10 million non-coding mutations, 1 million copy number aberrations, 9 million gene expression variants and almost 8 million differentially methylated CpG’s. This information combines a consistent interpretation of the data from the major cancer genome consortia and cancer genome literature, with hand-curation of over 22,000 gene-specific literature publications. With such a large volume of data, it is increasingly important to indicate which information is most significant. All mutations in COSMIC are now given a functional significance score, calculated using the FATHMM algorithm. In addition, a mutation can also be tagged as low-impact if they are described as a polymorphism in normal human genomes. All this information is available for selection and exploration in the COSMIC website (http://cancer.sanger.ac.uk), and for download via COSMIC Downloads (http://cancer.sanger.ac.uk/download). In addition to this broad database, the Cancer Gene Census (http://cancer.sanger.ac.uk/census) is a project within COSMIC aiming to identify and characterize all genes known to cause cancer, currently describing over 570 genes. This Census is now a priority focus of development, with a dedicated curator explicitly defining the range of genes driving cancer, including primary alleles and mechanisms and the diseases which are induced, with detailed supporting evidence. In addition to these analytical websites, expert-curated lists and now a GA4GH Beacon, COSMIC also hosts a full Oncology Genome Browser (http://cancer.sanger.ac.uk/genome). This fully-featured system allows the exploration of all cancer somatic mutation data collected in COSMIC alongside genomic annotations including coding genes, ncRNAs, SNPs and regulatory features. All data is vertically integrated, allowing exploration of how these many genetic mechanisms might promote oncogenesis, and how similar activating/inactivating mechanisms correlate. Amongst many interesting examples, there is a clear cluster of structural rearrangements immediately upstream of the BRD4 epigenetic modifier gene, affecting a region of multiple transcription control elements, and a substantial accumulation of abnormally hypermethylated CpG islands in the HOXA gene cluster on chromosome 7 coinciding with a group of HOTAIR and HOTTIP miRNAs. With multiple filters and selections available, these visualizations will increasingly support the exploration of how a variety of mutation mechanisms may act together to cause specific cancer diseases. Citation Format: Simon A. Forbes, Nidhi Bindal, David Beare, Sally Bamford, Charlotte G. Cole, Sari Ward, Kenric Leung, Chai Yin Kok, Mingming Jia, Tisham De, Zbyslaw Sondka, Michael R. Stratton, Peter J. Campbell. COSMIC: comprehensively exploring oncogenomics. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5285.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 9
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 43, No. D1 ( 2015-01-28), p. D805-D811
    Type of Medium: Online Resource
    ISSN: 1362-4962 , 0305-1048
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 62-62
    Abstract: COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk) is the world's largest and most comprehensive online resource for exploring the impact of somatic mutations in human cancer. Live since 2004, the 71st release (Nov 2014) describes over 2 million mutations in more than 1 million tumour samples across most human genes. To emphasise depth of knowledge on known cancer genes, mutation information is curated manually from the scientific literature, allowing very precise definitions of disease types and clinically relevant patient details. Combination of over 20,000 published studies gives substantial resolution of how mutations and phenotypes relate in human cancer, providing insights into the stratification of populations and new diseases behind known biomarkers. Conversely, our curation of over 15,000 cancer genome studies emphasises knowledge breadth, driving discovery of new unrecognised cancer-driving hotspots and molecular targets. Our high-resolution curation approach is globally unique, giving substantial insight into molecular biomarkers in human oncology. For example, BRAF is well characterized in skin melanoma, transiently treatable with inhibitors such as Vemurafenib. It is also well known in colorectal cancer, which is largely non-responsive to BRAF inhibitors. COSMIC's unique approach demonstrates the impact of BRAF mutations in much less well-known cancers, for instance, Hairy Cell Leukaemia (89% of samples mutated) and Langerhans Cell Histiocytosis (49%), both of which respond remarkably well to BRAF inhibitors. Converse to skin melanoma, our curations suggest BRAF has a minimal role in Uveal melanoma (6% of Uveal tumors mutated for BRAF), with higher mutation rates in other genes (particularly GNA11, BAP1 and GNAQ), suggesting different mechanisms behind this disease. In addition to describing over two million coding point mutations across cancer, COSMIC also details more than six million non-coding mutations, 10,567 gene fusions, 61,232 genome rearrangements, 702,652 abnormal copy number segments, and more than 6 million abnormal expression variants. All these types of somatic mutation are annotated to both the human genome and each affected coding gene, then correlated across disease and mutation types. As increasing amounts of genetic data are gathered into COSMIC across human cancer, our annotations are beginning to emphasise events with a higher impact in cancer, highlighting the more functional coding mutations and major amplifications and deletions. This concept of high-impact data is being extended across the entire COSMIC system, much more strongly defining genes and mutations which drive oncogenesis. Citation Format: Simon A. Forbes, Dave Beare, Prasad Gunasekaran, Kenric Leung, Charambulos Boutselakis, Minjie Ding, Mingming Jia, Tisham De, Nidhi Bindal, Chai Yin Kok, Sally Bamford, Sari Ward, Charlotte Cole, Jon Teague, Michael R. Stratton, Peter J. Campbell. COSMIC: Combining the world's knowledge of somatic mutation in human cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 62. doi:10.1158/1538-7445.AM2015-62
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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