Mutational landscape and significance across 12 major cancer types
Мутационный ландшафт и его значение при 12 основных типах рака
2013-10-15
SCID: 54.1/gdrhpa82
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TCGA Pan-Cancercancer genomicsdriver mutationssignificantly mutated genessomatic mutations
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Abstract (AI)
The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands of tumours. Here we present data and analytical results for point mutations and small insertions/deletions from 3,281 tumours across 12 tumour types as part of the TCGA Pan-Cancer effort. We illustrate the distributions of mutation frequencies, types and contexts across tumour types, and establish their links to tissues of origin, environmental/carcinogen influences, and DNA repair defects. Using the integrated data sets, we identified 127 significantly mutated genes from well-known (for example, mitogen-activated protein kinase, phosphatidylinositol-3-OH kinase, Wnt/β-catenin and receptor tyrosine kinase signalling pathways, and cell cycle control) and emerging (for example, histone, histone modification, splicing, metabolism and proteolysis) cellular processes in cancer. The average number of mutations in these significantly mutated genes varies across tumour types; most tumours have two to six, indicating that the number of driver mutations required during oncogenesis is relatively small. Mutations in transcriptional factors/regulators show tissue specificity, whereas histone modifiers are often mutated across several cancer types. Clinical association analysis identifies genes having a significant effect on survival, and investigations of mutations with respect to clonal/subclonal architecture delineate their temporal orders during tumorigenesis. Taken together, these results lay the groundwork for developing new diagnostics and individualizing cancer treatment. As part of The Cancer Genome Atlas Pan-Cancer effort, data analysis for point mutations and small indels from 3,281 tumours and 12 tumour types is presented; among the findings are 127 significantly mutated genes from cellular processes with both established and emerging links in cancer, and an indication that the number of driver mutations required for oncogenesis is relatively small. As part of The Cancer Genome Atlas Pan-Cancer project, these authors present data analysis for point mutations and small indels from more than 3,000 tumours representing 12 tumour types. Among the findings are 127 significantly mutated genes from cellular processes with both established and emerging links to cancer, and an indication that the number of driver mutations required for oncogenesis is relatively small. Additional analyses also identify genes with significant impact on survival and a likely temporal order of mutational events during tumorigenesis.
Key Findings
1
Most tumours contained two to six mutations in significantly mutated genes, suggesting that relatively few driver mutations are required during oncogenesis.
2
Mutation frequencies, mutation types, and sequence contexts were linked to tissue of origin, environmental or carcinogen exposure, and DNA repair defects.
3
TCGA Pan-Cancer analysis characterized point mutations and small insertions/deletions in 3,281 tumours spanning 12 major cancer types.
4
The integrated analysis identified 127 significantly mutated genes across established and emerging cancer-related processes, including signalling, cell-cycle control, chromatin, splicing, metabolism, and proteolysis.
5
Transcription-factor and regulator mutations showed tissue specificity, whereas histone-modifier mutations recurred across multiple cancer types; some mutations were also associated with survival and tumour clonal timing.
Research Object
Somatic point mutations and small insertions/deletions across 3,281 tumours from 12 major cancer types
Research Subject
The mutational landscape, significantly mutated genes, driver-mutation burden, tissue and environmental associations, clinical survival effects, and clonal timing across cancer types
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2013-10-15
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