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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...

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Autores principales: Tan, Hua, Bao, Jiguang, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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.
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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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