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COSMIC: exploring the world's knowledge of somatic mutations in human cancer

TLDR
COSMIC, the Catalogue Of Somatic Mutations In Cancer is the world's largest and most comprehensive resource for exploring the impact of somatic mutations in human cancer, describing 2 002 811 coding point mutations in over one million tumor samples and across most human genes.
Abstract
COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk) is the world's largest and most comprehensive resource for exploring the impact of somatic mutations in human cancer. Our latest release (v70; Aug 2014) describes 2 002 811 coding point mutations in over one million tumor samples and across most human genes. To emphasize depth of knowledge on known cancer genes, mutation information is curated manually from the scientific literature, allowing very precise definitions of disease types and patient details. Combination of almost 20 000 published studies gives substantial resolution of how mutations and phenotypes relate in human cancer, providing insights into the stratification of mutations and biomarkers across cancer patient populations. Conversely, our curation of cancer genomes (over 12 000) emphasizes knowledge breadth, driving discovery of unrecognized cancer-driving hotspots and molecular targets. Our high-resolution curation approach is globally unique, giving substantial insight into molecular biomarkers in human oncology. In addition, COSMIC also details more than six million noncoding mutations, 10 534 gene fusions, 61 299 genome rearrangements, 695 504 abnormal copy number segments and 60 119 787 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.

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Neoantigens in cancer immunotherapy

TL;DR: Observations indicate that neoantigen load may form a biomarker in cancer immunotherapy and provide an incentive for the development of novel therapeutic approaches that selectively enhance T cell reactivity against this class of antigens.
Journal ArticleDOI

COSMIC: somatic cancer genetics at high-resolution.

TL;DR: COSMIC v78 contains wide resistance mutation profiles across 20 drugs, detailing the recurrence of 301 unique resistance alleles across 1934 drug-resistant tumours.
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Comprehensive genomic profiles of small cell lung cancer

Julie George, +95 more
- 06 Aug 2015 - 
TL;DR: This first comprehensive study of somatic genome alterations in SCLC uncovers several key biological processes and identifies candidate therapeutic targets in this highly lethal form of cancer.
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High burden and pervasive positive selection of somatic mutations in normal human skin

TL;DR: Across 234 biopsies of sun-exposed eyelid epidermis from four individuals, the burden of somatic mutations averaged two to six mutations per megabase per cell, similar to that seen in many cancers, and exhibited characteristic signatures of exposure to ultraviolet light.
Journal ArticleDOI

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

TL;DR: Manta is optimized for rapid germline and somatic analysis, calling structural variants, medium-sized indels and large insertions on standard compute hardware in less than a tenth of the time that comparable methods require to identify only subsets of these variant types.
References
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Journal ArticleDOI

Mutational heterogeneity in cancer and the search for new cancer-associated genes

Michael S. Lawrence, +96 more
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TL;DR: A fundamental problem with cancer genome studies is described: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds and the list includes many implausible genes, suggesting extensive false-positive findings that overshadow true driver events.
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A census of human cancer genes

TL;DR: A 'census' of cancer genes is conducted that indicates that mutations in more than 1% of genes contribute to human cancer.
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Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

TL;DR: The Genomics of Drug Sensitivity in Cancer (GDSC) provides a unique resource incorporating large drug sensitivity and genomic datasets to facilitate the discovery of new therapeutic biomarkers for cancer therapies.
Journal ArticleDOI

International network of cancer genome projects

Thomas J. Hudson, +273 more
TL;DR: Systematic studies of more than 25,000 cancer genomes will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
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Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor

TL;DR: A tool to predict the effect that newly discovered genomic variants have on known transcripts is indispensible in prioritizing and categorizing such variants in Ensembl, and a web-based tool (the SNP Effect Predictor) and API interface can now functionally annotate variants in all EnsembL and Ensemble Genomes supported species.
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