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Aberrant epigenetic and transcriptional events associated with breast cancer risk

BACKGROUND: Genome-wide association studies have identified several breast cancer susceptibility loci. However, biomarkers for risk assessment are still missing. Here, we investigated cancer-related molecular changes detected in tissues from women at high risk for breast cancer prior to disease mani...

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Autores principales: Marino, Natascia, German, Rana, Podicheti, Ram, Rusch, Douglas B., Rockey, Pam, Huang, Jie, Sandusky, George E., Temm, Constance J., Althouse, Sandra, Nephew, Kenneth P., Nakshatri, Harikrishna, Liu, Jun, Vode, Ashley, Cao, Sha, Storniolo, Anna Maria V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830042/
https://www.ncbi.nlm.nih.gov/pubmed/35139887
http://dx.doi.org/10.1186/s13148-022-01239-1
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author Marino, Natascia
German, Rana
Podicheti, Ram
Rusch, Douglas B.
Rockey, Pam
Huang, Jie
Sandusky, George E.
Temm, Constance J.
Althouse, Sandra
Nephew, Kenneth P.
Nakshatri, Harikrishna
Liu, Jun
Vode, Ashley
Cao, Sha
Storniolo, Anna Maria V.
author_facet Marino, Natascia
German, Rana
Podicheti, Ram
Rusch, Douglas B.
Rockey, Pam
Huang, Jie
Sandusky, George E.
Temm, Constance J.
Althouse, Sandra
Nephew, Kenneth P.
Nakshatri, Harikrishna
Liu, Jun
Vode, Ashley
Cao, Sha
Storniolo, Anna Maria V.
author_sort Marino, Natascia
collection PubMed
description BACKGROUND: Genome-wide association studies have identified several breast cancer susceptibility loci. However, biomarkers for risk assessment are still missing. Here, we investigated cancer-related molecular changes detected in tissues from women at high risk for breast cancer prior to disease manifestation. Disease-free breast tissue cores donated by healthy women (N = 146, median age = 39 years) were processed for both methylome (MethylCap) and transcriptome (Illumina’s HiSeq4000) sequencing. Analysis of tissue microarray and primary breast epithelial cells was used to confirm gene expression dysregulation. RESULTS: Transcriptomic analysis identified 69 differentially expressed genes between women at high and those at average risk of breast cancer (Tyrer-Cuzick model) at FDR < 0.05 and fold change ≥ 2. Majority of the identified genes were involved in DNA damage checkpoint, cell cycle, and cell adhesion. Two genes, FAM83A and NEK2, were overexpressed in tissue sections (FDR < 0.01) and primary epithelial cells (p < 0.05) from high-risk breasts. Moreover, 1698 DNA methylation changes were identified in high-risk breast tissues (FDR < 0.05), partially overlapped with cancer-related signatures, and correlated with transcriptional changes (p < 0.05, r ≤ 0.5). Finally, among the participants, 35 women donated breast biopsies at two time points, and age-related molecular alterations enhanced in high-risk subjects were identified. CONCLUSIONS: Normal breast tissue from women at high risk of breast cancer bears molecular aberrations that may contribute to breast cancer susceptibility. This study is the first molecular characterization of the true normal breast tissues, and provides an opportunity to investigate molecular markers of breast cancer risk, which may lead to new preventive approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01239-1.
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spelling pubmed-88300422022-02-11 Aberrant epigenetic and transcriptional events associated with breast cancer risk Marino, Natascia German, Rana Podicheti, Ram Rusch, Douglas B. Rockey, Pam Huang, Jie Sandusky, George E. Temm, Constance J. Althouse, Sandra Nephew, Kenneth P. Nakshatri, Harikrishna Liu, Jun Vode, Ashley Cao, Sha Storniolo, Anna Maria V. Clin Epigenetics Research BACKGROUND: Genome-wide association studies have identified several breast cancer susceptibility loci. However, biomarkers for risk assessment are still missing. Here, we investigated cancer-related molecular changes detected in tissues from women at high risk for breast cancer prior to disease manifestation. Disease-free breast tissue cores donated by healthy women (N = 146, median age = 39 years) were processed for both methylome (MethylCap) and transcriptome (Illumina’s HiSeq4000) sequencing. Analysis of tissue microarray and primary breast epithelial cells was used to confirm gene expression dysregulation. RESULTS: Transcriptomic analysis identified 69 differentially expressed genes between women at high and those at average risk of breast cancer (Tyrer-Cuzick model) at FDR < 0.05 and fold change ≥ 2. Majority of the identified genes were involved in DNA damage checkpoint, cell cycle, and cell adhesion. Two genes, FAM83A and NEK2, were overexpressed in tissue sections (FDR < 0.01) and primary epithelial cells (p < 0.05) from high-risk breasts. Moreover, 1698 DNA methylation changes were identified in high-risk breast tissues (FDR < 0.05), partially overlapped with cancer-related signatures, and correlated with transcriptional changes (p < 0.05, r ≤ 0.5). Finally, among the participants, 35 women donated breast biopsies at two time points, and age-related molecular alterations enhanced in high-risk subjects were identified. CONCLUSIONS: Normal breast tissue from women at high risk of breast cancer bears molecular aberrations that may contribute to breast cancer susceptibility. This study is the first molecular characterization of the true normal breast tissues, and provides an opportunity to investigate molecular markers of breast cancer risk, which may lead to new preventive approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01239-1. BioMed Central 2022-02-09 /pmc/articles/PMC8830042/ /pubmed/35139887 http://dx.doi.org/10.1186/s13148-022-01239-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Marino, Natascia
German, Rana
Podicheti, Ram
Rusch, Douglas B.
Rockey, Pam
Huang, Jie
Sandusky, George E.
Temm, Constance J.
Althouse, Sandra
Nephew, Kenneth P.
Nakshatri, Harikrishna
Liu, Jun
Vode, Ashley
Cao, Sha
Storniolo, Anna Maria V.
Aberrant epigenetic and transcriptional events associated with breast cancer risk
title Aberrant epigenetic and transcriptional events associated with breast cancer risk
title_full Aberrant epigenetic and transcriptional events associated with breast cancer risk
title_fullStr Aberrant epigenetic and transcriptional events associated with breast cancer risk
title_full_unstemmed Aberrant epigenetic and transcriptional events associated with breast cancer risk
title_short Aberrant epigenetic and transcriptional events associated with breast cancer risk
title_sort aberrant epigenetic and transcriptional events associated with breast cancer risk
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830042/
https://www.ncbi.nlm.nih.gov/pubmed/35139887
http://dx.doi.org/10.1186/s13148-022-01239-1
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