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A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies

Single nucleotide variants (SNVs) identified in cancer genomes can be de-convolved using non-negative matrix factorization (NMF) into discrete trinucleotide-based mutational signatures indicative of specific cancer-causing processes. The stability of NMF-generated mutational signatures depends upon...

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Autores principales: Davidson, Philip R., Sherborne, Amy L., Taylor, Barry, Nakamura, Alice O., Nakamura, Jean L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550450/
https://www.ncbi.nlm.nih.gov/pubmed/28794481
http://dx.doi.org/10.1038/s41598-017-07888-0
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author Davidson, Philip R.
Sherborne, Amy L.
Taylor, Barry
Nakamura, Alice O.
Nakamura, Jean L.
author_facet Davidson, Philip R.
Sherborne, Amy L.
Taylor, Barry
Nakamura, Alice O.
Nakamura, Jean L.
author_sort Davidson, Philip R.
collection PubMed
description Single nucleotide variants (SNVs) identified in cancer genomes can be de-convolved using non-negative matrix factorization (NMF) into discrete trinucleotide-based mutational signatures indicative of specific cancer-causing processes. The stability of NMF-generated mutational signatures depends upon the numbers of variants available for analysis. In this work, we sought to assess whether data from well-controlled mouse models can compensate for scarce human data for some cancer types. High quality sequencing data from radiotherapy-induced cancers is particularly scarce and the mutational processes defining ionizing radiation (IR)-induced mutagenesis in vivo are poorly defined. Here, we combine sequencing data from mouse models of IR-induced malignancies and human IR-induced malignancies. To determine whether the signatures identified from IR-exposed subjects can be differentiated from other mutagenic signatures, we included data from an ultraviolet radiation (UV)-induced human skin cancer and from a mouse model of urethane-induced cancers. NMF distinguished all three mutagens and in the pooled analysis IR was associated with mutational signatures common to both species. These findings illustrate the utility of pooled analysis of mouse and human sequencing data.
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spelling pubmed-55504502017-08-11 A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies Davidson, Philip R. Sherborne, Amy L. Taylor, Barry Nakamura, Alice O. Nakamura, Jean L. Sci Rep Article Single nucleotide variants (SNVs) identified in cancer genomes can be de-convolved using non-negative matrix factorization (NMF) into discrete trinucleotide-based mutational signatures indicative of specific cancer-causing processes. The stability of NMF-generated mutational signatures depends upon the numbers of variants available for analysis. In this work, we sought to assess whether data from well-controlled mouse models can compensate for scarce human data for some cancer types. High quality sequencing data from radiotherapy-induced cancers is particularly scarce and the mutational processes defining ionizing radiation (IR)-induced mutagenesis in vivo are poorly defined. Here, we combine sequencing data from mouse models of IR-induced malignancies and human IR-induced malignancies. To determine whether the signatures identified from IR-exposed subjects can be differentiated from other mutagenic signatures, we included data from an ultraviolet radiation (UV)-induced human skin cancer and from a mouse model of urethane-induced cancers. NMF distinguished all three mutagens and in the pooled analysis IR was associated with mutational signatures common to both species. These findings illustrate the utility of pooled analysis of mouse and human sequencing data. Nature Publishing Group UK 2017-08-09 /pmc/articles/PMC5550450/ /pubmed/28794481 http://dx.doi.org/10.1038/s41598-017-07888-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Davidson, Philip R.
Sherborne, Amy L.
Taylor, Barry
Nakamura, Alice O.
Nakamura, Jean L.
A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title_full A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title_fullStr A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title_full_unstemmed A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title_short A pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
title_sort pooled mutational analysis identifies ionizing radiation-associated mutational signatures conserved between mouse and human malignancies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550450/
https://www.ncbi.nlm.nih.gov/pubmed/28794481
http://dx.doi.org/10.1038/s41598-017-07888-0
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