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Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women. Various mechanisms are involved in the initiation and progression of breast cancer. Metabolic dysregulation has been associated with increasing breast cancer incidence and mortality. However, littl...

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Autores principales: Jing, Wenjiang, Li, Ling, Zhang, Xiumei, Wu, Shouxin, Zhao, Jiangman, Hou, Qunxing, Wu, Haotian, Ma, Wu, Li, Shuheng, Liu, Huimin, Yang, Binhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931193/
https://www.ncbi.nlm.nih.gov/pubmed/31869749
http://dx.doi.org/10.1016/j.tranon.2019.09.008
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author Jing, Wenjiang
Li, Ling
Zhang, Xiumei
Wu, Shouxin
Zhao, Jiangman
Hou, Qunxing
Wu, Haotian
Ma, Wu
Li, Shuheng
Liu, Huimin
Yang, Binhui
author_facet Jing, Wenjiang
Li, Ling
Zhang, Xiumei
Wu, Shouxin
Zhao, Jiangman
Hou, Qunxing
Wu, Haotian
Ma, Wu
Li, Shuheng
Liu, Huimin
Yang, Binhui
author_sort Jing, Wenjiang
collection PubMed
description Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women. Various mechanisms are involved in the initiation and progression of breast cancer. Metabolic dysregulation has been associated with increasing breast cancer incidence and mortality. However, little is known about how metabolic disease regulates the development and progression of breast cancer at the molecular level. Here, using a hybridization capture-based panel including 124 cancer-associated genes, we performed targeted next-generation sequencing of tumor tissues and matched blood samples from 20 postmenopausal patients with primary breast cancer, in which 6 cases suffered from preexisting metabolic disorders including hypertension, type 2 diabetes, and coronary heart disease. We took only the protein-altering variants and identified 170 somatic mutations of 59 genes. Among these, 40 mutated genes were found in the metabolic disease group, and 33 mutated genes were found in the non–metabolic disease group. Importantly, nonsynonymous mutations of 26 genes (MSH3, BRAF, MLH3, MTOR, DDR2, ALK, etc.) were uniquely present in the metabolic disease group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed to investigate biological functions and key pathways of somatic mutations. TP53, PIK3CA, and PTEN were the top three commonly mutated genes at a higher frequency compared with the Cancer Genome Atlas (TCGA) data, and several novel but infrequent mutations in other genes were also found. Although further studies are required to validate these variants, our results are the first to suggest a specific molecular profile of breast cancer with preexisting metabolic disease.
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spelling pubmed-69311932019-12-30 Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease Jing, Wenjiang Li, Ling Zhang, Xiumei Wu, Shouxin Zhao, Jiangman Hou, Qunxing Wu, Haotian Ma, Wu Li, Shuheng Liu, Huimin Yang, Binhui Transl Oncol Original article Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women. Various mechanisms are involved in the initiation and progression of breast cancer. Metabolic dysregulation has been associated with increasing breast cancer incidence and mortality. However, little is known about how metabolic disease regulates the development and progression of breast cancer at the molecular level. Here, using a hybridization capture-based panel including 124 cancer-associated genes, we performed targeted next-generation sequencing of tumor tissues and matched blood samples from 20 postmenopausal patients with primary breast cancer, in which 6 cases suffered from preexisting metabolic disorders including hypertension, type 2 diabetes, and coronary heart disease. We took only the protein-altering variants and identified 170 somatic mutations of 59 genes. Among these, 40 mutated genes were found in the metabolic disease group, and 33 mutated genes were found in the non–metabolic disease group. Importantly, nonsynonymous mutations of 26 genes (MSH3, BRAF, MLH3, MTOR, DDR2, ALK, etc.) were uniquely present in the metabolic disease group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed to investigate biological functions and key pathways of somatic mutations. TP53, PIK3CA, and PTEN were the top three commonly mutated genes at a higher frequency compared with the Cancer Genome Atlas (TCGA) data, and several novel but infrequent mutations in other genes were also found. Although further studies are required to validate these variants, our results are the first to suggest a specific molecular profile of breast cancer with preexisting metabolic disease. Neoplasia Press 2019-12-21 /pmc/articles/PMC6931193/ /pubmed/31869749 http://dx.doi.org/10.1016/j.tranon.2019.09.008 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Jing, Wenjiang
Li, Ling
Zhang, Xiumei
Wu, Shouxin
Zhao, Jiangman
Hou, Qunxing
Wu, Haotian
Ma, Wu
Li, Shuheng
Liu, Huimin
Yang, Binhui
Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title_full Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title_fullStr Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title_full_unstemmed Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title_short Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease
title_sort genetic profiling of breast cancer with and without preexisting metabolic disease
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931193/
https://www.ncbi.nlm.nih.gov/pubmed/31869749
http://dx.doi.org/10.1016/j.tranon.2019.09.008
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