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Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing
The genetic etiology of hereditary breast cancer has not been fully elucidated. Although germline mutations of high-penetrance genes such as BRCA1/2 are implicated in development of hereditary breast cancers, at least half of all breast cancer families are not linked to these genes. To identify a co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415911/ https://www.ncbi.nlm.nih.gov/pubmed/25927356 http://dx.doi.org/10.1371/journal.pone.0125571 |
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author | Yang, Xiaochen Wu, Jiong Lu, Jingsong Liu, Guangyu Di, Genhong Chen, Canming Hou, Yifeng Sun, Menghong Yang, Wentao Xu, Xiaojing Zhao, Ying Hu, Xin Li, Daqiang Cao, Zhigang Zhou, Xiaoyan Huang, Xiaoyan Liu, Zhebin Chen, Huan Gu, Yanzi Chi, Yayun Yan, Xia Han, Qixia Shen, Zhenzhou Shao, Zhimin Hu, Zhen |
author_facet | Yang, Xiaochen Wu, Jiong Lu, Jingsong Liu, Guangyu Di, Genhong Chen, Canming Hou, Yifeng Sun, Menghong Yang, Wentao Xu, Xiaojing Zhao, Ying Hu, Xin Li, Daqiang Cao, Zhigang Zhou, Xiaoyan Huang, Xiaoyan Liu, Zhebin Chen, Huan Gu, Yanzi Chi, Yayun Yan, Xia Han, Qixia Shen, Zhenzhou Shao, Zhimin Hu, Zhen |
author_sort | Yang, Xiaochen |
collection | PubMed |
description | The genetic etiology of hereditary breast cancer has not been fully elucidated. Although germline mutations of high-penetrance genes such as BRCA1/2 are implicated in development of hereditary breast cancers, at least half of all breast cancer families are not linked to these genes. To identify a comprehensive spectrum of genetic factors for hereditary breast cancer in a Chinese population, we performed an analysis of germline mutations in 2,165 coding exons of 152 genes associated with hereditary cancer using next-generation sequencing (NGS) in 99 breast cancer patients from families of cancer patients regardless of cancer types. Forty-two deleterious germline mutations were identified in 21 genes of 34 patients, including 18 (18.2%) BRCA1 or BRCA2 mutations, 3 (3%) TP53 mutations, 5 (5.1%) DNA mismatch repair gene mutations, 1 (1%) CDH1 mutation, 6 (6.1%) Fanconi anemia pathway gene mutations, and 9 (9.1%) mutations in other genes. Of seven patients who carried mutations in more than one gene, 4 were BRCA1/2 mutation carriers, and their average onset age was much younger than patients with only BRCA1/2 mutations. Almost all identified high-penetrance gene mutations in those families fulfill the typical phenotypes of hereditary cancer syndromes listed in the National Comprehensive Cancer Network (NCCN) guidelines, except two TP53 and three mismatch repair gene mutations. Furthermore, functional studies of MSH3 germline mutations confirmed the association between MSH3 mutation and tumorigenesis, and segregation analysis suggested antagonism between BRCA1 and MSH3. We also identified a lot of low-penetrance gene mutations. Although the clinical significance of those newly identified low-penetrance gene mutations has not been fully appreciated yet, these new findings do provide valuable epidemiological information for the future studies. Together, these findings highlight the importance of genetic testing based on NCCN guidelines and a multi-gene analysis using NGS may be a supplement to traditional genetic counseling. |
format | Online Article Text |
id | pubmed-4415911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44159112015-05-07 Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing Yang, Xiaochen Wu, Jiong Lu, Jingsong Liu, Guangyu Di, Genhong Chen, Canming Hou, Yifeng Sun, Menghong Yang, Wentao Xu, Xiaojing Zhao, Ying Hu, Xin Li, Daqiang Cao, Zhigang Zhou, Xiaoyan Huang, Xiaoyan Liu, Zhebin Chen, Huan Gu, Yanzi Chi, Yayun Yan, Xia Han, Qixia Shen, Zhenzhou Shao, Zhimin Hu, Zhen PLoS One Research Article The genetic etiology of hereditary breast cancer has not been fully elucidated. Although germline mutations of high-penetrance genes such as BRCA1/2 are implicated in development of hereditary breast cancers, at least half of all breast cancer families are not linked to these genes. To identify a comprehensive spectrum of genetic factors for hereditary breast cancer in a Chinese population, we performed an analysis of germline mutations in 2,165 coding exons of 152 genes associated with hereditary cancer using next-generation sequencing (NGS) in 99 breast cancer patients from families of cancer patients regardless of cancer types. Forty-two deleterious germline mutations were identified in 21 genes of 34 patients, including 18 (18.2%) BRCA1 or BRCA2 mutations, 3 (3%) TP53 mutations, 5 (5.1%) DNA mismatch repair gene mutations, 1 (1%) CDH1 mutation, 6 (6.1%) Fanconi anemia pathway gene mutations, and 9 (9.1%) mutations in other genes. Of seven patients who carried mutations in more than one gene, 4 were BRCA1/2 mutation carriers, and their average onset age was much younger than patients with only BRCA1/2 mutations. Almost all identified high-penetrance gene mutations in those families fulfill the typical phenotypes of hereditary cancer syndromes listed in the National Comprehensive Cancer Network (NCCN) guidelines, except two TP53 and three mismatch repair gene mutations. Furthermore, functional studies of MSH3 germline mutations confirmed the association between MSH3 mutation and tumorigenesis, and segregation analysis suggested antagonism between BRCA1 and MSH3. We also identified a lot of low-penetrance gene mutations. Although the clinical significance of those newly identified low-penetrance gene mutations has not been fully appreciated yet, these new findings do provide valuable epidemiological information for the future studies. Together, these findings highlight the importance of genetic testing based on NCCN guidelines and a multi-gene analysis using NGS may be a supplement to traditional genetic counseling. Public Library of Science 2015-04-30 /pmc/articles/PMC4415911/ /pubmed/25927356 http://dx.doi.org/10.1371/journal.pone.0125571 Text en © 2015 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Xiaochen Wu, Jiong Lu, Jingsong Liu, Guangyu Di, Genhong Chen, Canming Hou, Yifeng Sun, Menghong Yang, Wentao Xu, Xiaojing Zhao, Ying Hu, Xin Li, Daqiang Cao, Zhigang Zhou, Xiaoyan Huang, Xiaoyan Liu, Zhebin Chen, Huan Gu, Yanzi Chi, Yayun Yan, Xia Han, Qixia Shen, Zhenzhou Shao, Zhimin Hu, Zhen Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title | Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title_full | Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title_fullStr | Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title_full_unstemmed | Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title_short | Identification of a Comprehensive Spectrum of Genetic Factors for Hereditary Breast Cancer in a Chinese Population by Next-Generation Sequencing |
title_sort | identification of a comprehensive spectrum of genetic factors for hereditary breast cancer in a chinese population by next-generation sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415911/ https://www.ncbi.nlm.nih.gov/pubmed/25927356 http://dx.doi.org/10.1371/journal.pone.0125571 |
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