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Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. Emerging evidenced suggests that both genetics and epigenetic factors play a role in the pathogenesis of TNBC. However, oncogenic interactions and cooperation between genomic and epigenomic variation have not been cha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896043/ https://www.ncbi.nlm.nih.gov/pubmed/31683572 http://dx.doi.org/10.3390/cancers11111692 |
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author | Wu, Jiande Mamidi, Tarun Karthik Kumar Zhang, Lu Hicks, Chindo |
author_facet | Wu, Jiande Mamidi, Tarun Karthik Kumar Zhang, Lu Hicks, Chindo |
author_sort | Wu, Jiande |
collection | PubMed |
description | Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. Emerging evidenced suggests that both genetics and epigenetic factors play a role in the pathogenesis of TNBC. However, oncogenic interactions and cooperation between genomic and epigenomic variation have not been characterized. The objective of this study was to deconvolute the genomic and epigenomic interaction landscape in TNBC using an integrative genomics approach, which integrates information on germline, somatic, epigenomic and gene expression variation. We hypothesized that TNBC originates from a complex interplay between genomic (both germline and somatic variation) and epigenomic variation. We further hypothesized that these complex arrays of interacting genomic and epigenomic factors affect entire molecular networks and signaling pathways which, in turn, drive TNBC. We addressed these hypotheses using germline variation from genome-wide association studies and somatic, epigenomic and gene expression variation from The Cancer Genome Atlas (TCGA). The investigation revealed signatures of functionally related genes containing germline, somatic and epigenetic variations. DNA methylation had an effect on gene expression. Network and pathway analysis revealed molecule networks and signaling pathways enriched for germline, somatic and epigenomic variation, among them: Role of BRCA1 in DNA Damage Response, Hereditary Breast Cancer Signaling, Molecular Mechanisms of Cancer, Estrogen-Dependent Breast Cancer, p53, MYC Mediated Apoptosis, and PTEN Signaling pathways. The investigation revealed that integrative genomics is a powerful approach for deconvoluting the genomic-epigenomic interaction landscape in TNBC. Further studies are needed to understand the biological mechanisms underlying oncogenic interactions between genomic and epigenomic factors in TNBC. |
format | Online Article Text |
id | pubmed-6896043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68960432019-12-23 Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer Wu, Jiande Mamidi, Tarun Karthik Kumar Zhang, Lu Hicks, Chindo Cancers (Basel) Article Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. Emerging evidenced suggests that both genetics and epigenetic factors play a role in the pathogenesis of TNBC. However, oncogenic interactions and cooperation between genomic and epigenomic variation have not been characterized. The objective of this study was to deconvolute the genomic and epigenomic interaction landscape in TNBC using an integrative genomics approach, which integrates information on germline, somatic, epigenomic and gene expression variation. We hypothesized that TNBC originates from a complex interplay between genomic (both germline and somatic variation) and epigenomic variation. We further hypothesized that these complex arrays of interacting genomic and epigenomic factors affect entire molecular networks and signaling pathways which, in turn, drive TNBC. We addressed these hypotheses using germline variation from genome-wide association studies and somatic, epigenomic and gene expression variation from The Cancer Genome Atlas (TCGA). The investigation revealed signatures of functionally related genes containing germline, somatic and epigenetic variations. DNA methylation had an effect on gene expression. Network and pathway analysis revealed molecule networks and signaling pathways enriched for germline, somatic and epigenomic variation, among them: Role of BRCA1 in DNA Damage Response, Hereditary Breast Cancer Signaling, Molecular Mechanisms of Cancer, Estrogen-Dependent Breast Cancer, p53, MYC Mediated Apoptosis, and PTEN Signaling pathways. The investigation revealed that integrative genomics is a powerful approach for deconvoluting the genomic-epigenomic interaction landscape in TNBC. Further studies are needed to understand the biological mechanisms underlying oncogenic interactions between genomic and epigenomic factors in TNBC. MDPI 2019-10-31 /pmc/articles/PMC6896043/ /pubmed/31683572 http://dx.doi.org/10.3390/cancers11111692 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Jiande Mamidi, Tarun Karthik Kumar Zhang, Lu Hicks, Chindo Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title | Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title_full | Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title_fullStr | Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title_full_unstemmed | Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title_short | Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer |
title_sort | deconvolution of the genomic and epigenomic interaction landscape of triple-negative breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896043/ https://www.ncbi.nlm.nih.gov/pubmed/31683572 http://dx.doi.org/10.3390/cancers11111692 |
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