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Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity
Cancer is widely recognized as a genetic disease in which somatic mutations are sequentially accumulated to drive tumor progression. Although genomic landscape studies are informative for individual cancer types, a comprehensive comparative study of tumorigenic mutations across cancer types based on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515826/ https://www.ncbi.nlm.nih.gov/pubmed/26212640 http://dx.doi.org/10.1038/srep12566 |
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author | Tan, Hua Bao, Jiguang Zhou, Xiaobo |
author_facet | Tan, Hua Bao, Jiguang Zhou, Xiaobo |
author_sort | Tan, Hua |
collection | PubMed |
description | Cancer is widely recognized as a genetic disease in which somatic mutations are sequentially accumulated to drive tumor progression. Although genomic landscape studies are informative for individual cancer types, a comprehensive comparative study of tumorigenic mutations across cancer types based on integrative data sources is still a pressing need. We systematically analyzed ~10(6) non-synonymous mutations extracted from COSMIC, involving ~8000 genome-wide screened samples across 23 major human cancers at both the amino acid and gene levels. Our analysis identified cancer-specific heterogeneity that traditional nucleotide variation analysis alone usually overlooked. Particularly, the amino acid arginine (R) turns out to be the most favorable target of amino acid alteration in most cancer types studied (P < 10(−9), binomial test), reflecting its important role in cellular physiology. The tumor suppressor gene TP53 is mutated exclusively with the HYDIN, KRAS, and PTEN genes in large intestine, lung, and endometrial cancers respectively, indicating that TP53 takes part in different signaling pathways in different cancers. While some of our analyses corroborated previous observations, others indicated relevant candidates with high priority for further experimental validation. Our findings have many ramifications in understanding the etiology of cancer and the underlying molecular mechanisms in particular cancers. |
format | Online Article Text |
id | pubmed-4515826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45158262015-07-29 Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity Tan, Hua Bao, Jiguang Zhou, Xiaobo Sci Rep Article Cancer is widely recognized as a genetic disease in which somatic mutations are sequentially accumulated to drive tumor progression. Although genomic landscape studies are informative for individual cancer types, a comprehensive comparative study of tumorigenic mutations across cancer types based on integrative data sources is still a pressing need. We systematically analyzed ~10(6) non-synonymous mutations extracted from COSMIC, involving ~8000 genome-wide screened samples across 23 major human cancers at both the amino acid and gene levels. Our analysis identified cancer-specific heterogeneity that traditional nucleotide variation analysis alone usually overlooked. Particularly, the amino acid arginine (R) turns out to be the most favorable target of amino acid alteration in most cancer types studied (P < 10(−9), binomial test), reflecting its important role in cellular physiology. The tumor suppressor gene TP53 is mutated exclusively with the HYDIN, KRAS, and PTEN genes in large intestine, lung, and endometrial cancers respectively, indicating that TP53 takes part in different signaling pathways in different cancers. While some of our analyses corroborated previous observations, others indicated relevant candidates with high priority for further experimental validation. Our findings have many ramifications in understanding the etiology of cancer and the underlying molecular mechanisms in particular cancers. Nature Publishing Group 2015-07-27 /pmc/articles/PMC4515826/ /pubmed/26212640 http://dx.doi.org/10.1038/srep12566 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tan, Hua Bao, Jiguang Zhou, Xiaobo Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title | Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title_full | Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title_fullStr | Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title_full_unstemmed | Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title_short | Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
title_sort | genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515826/ https://www.ncbi.nlm.nih.gov/pubmed/26212640 http://dx.doi.org/10.1038/srep12566 |
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