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Methylation profiling of ductal carcinoma in situand its relationship to histopathological features

INTRODUCTION: DNA methylation is a well-studied biomarker in invasive breast cancer, but its role in ductal carcinoma in situ (DCIS) is less well characterized. The aims of this study are to assess the methylation profile in DCIS for a panel of well-characterized genes that are frequently methylated...

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Autores principales: Pang, Jia-Min B, Deb, Siddhartha, Takano, Elena A, Byrne, David J, Jene, Nicholas, Boulghourjian, Alice, Holliday, Anne, Millar, Ewan, Lee, C Soon, O’Toole, Sandra A, Dobrovic, Alexander, Fox, Stephen B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303108/
https://www.ncbi.nlm.nih.gov/pubmed/25331261
http://dx.doi.org/10.1186/s13058-014-0423-9
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author Pang, Jia-Min B
Deb, Siddhartha
Takano, Elena A
Byrne, David J
Jene, Nicholas
Boulghourjian, Alice
Holliday, Anne
Millar, Ewan
Lee, C Soon
O’Toole, Sandra A
Dobrovic, Alexander
Fox, Stephen B
author_facet Pang, Jia-Min B
Deb, Siddhartha
Takano, Elena A
Byrne, David J
Jene, Nicholas
Boulghourjian, Alice
Holliday, Anne
Millar, Ewan
Lee, C Soon
O’Toole, Sandra A
Dobrovic, Alexander
Fox, Stephen B
author_sort Pang, Jia-Min B
collection PubMed
description INTRODUCTION: DNA methylation is a well-studied biomarker in invasive breast cancer, but its role in ductal carcinoma in situ (DCIS) is less well characterized. The aims of this study are to assess the methylation profile in DCIS for a panel of well-characterized genes that are frequently methylated in breast cancer, to investigate the relationship of methylation with pathological features, and to perform a proof-of-principle study to evaluate the practicality of methylation as a biomarker in diagnostic DCIS material. METHODS: Promoter CpG island methylation for a panel of 11 breast cancer-related genes was performed by methylation-sensitive high resolution melting (MS-HRM). Formalin-fixed, paraffin-embedded (FFPE) biopsies from 72 samples of pure DCIS (DCIS occurring in the absence of synchronous invasive carcinoma), 10 samples of mixed DCIS (DCIS adjacent to invasive carcinoma), and 18 samples of normal breast epithelium adjacent to a DCIS lesion were micro-dissected prior to DNA extraction. RESULTS: Methylation was seen for all the tested genes except BRCA1. RASSF1A was the most frequently methylated gene (90% of DCIS samples) and its methylation was associated with comedo necrosis (p = 0.018). Cluster analysis based on the methylation profile revealed four groups, the highly methylated cluster being significantly associated with high nuclear grade, HER2 amplification, negative estrogen receptor (ER) α status, and negative progesterone receptor (PgR) status, (p = 0.038, p = 0.018, p <0.001, p = 0.001, respectively). Methylation of APC (p = 0.017), CDH13 (p = 0.017), and RARβ (p <0.001) was associated with negative ERα status. Methylation of CDH13 (p <0.001), and RARβ (p = 0.001) was associated with negative PgR status. Methylation of APC (p = 0.013) and CDH13 (p = 0.026) was associated with high nuclear grade. Methylation of CDH13 (p = 0.009), and RARβ (p = 0.042) was associated with HER2-amplification. CONCLUSIONS: DNA methylation can be assessed in FFPE-derived samples using suitable methodologies. Methylation of a panel of genes that are known to be methylated in invasive breast cancer was able to classify DCIS into distinct groups and was differentially associated with phenotypic features in DCIS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-014-0423-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-43031082015-01-23 Methylation profiling of ductal carcinoma in situand its relationship to histopathological features Pang, Jia-Min B Deb, Siddhartha Takano, Elena A Byrne, David J Jene, Nicholas Boulghourjian, Alice Holliday, Anne Millar, Ewan Lee, C Soon O’Toole, Sandra A Dobrovic, Alexander Fox, Stephen B Breast Cancer Res Research Article INTRODUCTION: DNA methylation is a well-studied biomarker in invasive breast cancer, but its role in ductal carcinoma in situ (DCIS) is less well characterized. The aims of this study are to assess the methylation profile in DCIS for a panel of well-characterized genes that are frequently methylated in breast cancer, to investigate the relationship of methylation with pathological features, and to perform a proof-of-principle study to evaluate the practicality of methylation as a biomarker in diagnostic DCIS material. METHODS: Promoter CpG island methylation for a panel of 11 breast cancer-related genes was performed by methylation-sensitive high resolution melting (MS-HRM). Formalin-fixed, paraffin-embedded (FFPE) biopsies from 72 samples of pure DCIS (DCIS occurring in the absence of synchronous invasive carcinoma), 10 samples of mixed DCIS (DCIS adjacent to invasive carcinoma), and 18 samples of normal breast epithelium adjacent to a DCIS lesion were micro-dissected prior to DNA extraction. RESULTS: Methylation was seen for all the tested genes except BRCA1. RASSF1A was the most frequently methylated gene (90% of DCIS samples) and its methylation was associated with comedo necrosis (p = 0.018). Cluster analysis based on the methylation profile revealed four groups, the highly methylated cluster being significantly associated with high nuclear grade, HER2 amplification, negative estrogen receptor (ER) α status, and negative progesterone receptor (PgR) status, (p = 0.038, p = 0.018, p <0.001, p = 0.001, respectively). Methylation of APC (p = 0.017), CDH13 (p = 0.017), and RARβ (p <0.001) was associated with negative ERα status. Methylation of CDH13 (p <0.001), and RARβ (p = 0.001) was associated with negative PgR status. Methylation of APC (p = 0.013) and CDH13 (p = 0.026) was associated with high nuclear grade. Methylation of CDH13 (p = 0.009), and RARβ (p = 0.042) was associated with HER2-amplification. CONCLUSIONS: DNA methylation can be assessed in FFPE-derived samples using suitable methodologies. Methylation of a panel of genes that are known to be methylated in invasive breast cancer was able to classify DCIS into distinct groups and was differentially associated with phenotypic features in DCIS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-014-0423-9) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-21 2014 /pmc/articles/PMC4303108/ /pubmed/25331261 http://dx.doi.org/10.1186/s13058-014-0423-9 Text en © Pang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pang, Jia-Min B
Deb, Siddhartha
Takano, Elena A
Byrne, David J
Jene, Nicholas
Boulghourjian, Alice
Holliday, Anne
Millar, Ewan
Lee, C Soon
O’Toole, Sandra A
Dobrovic, Alexander
Fox, Stephen B
Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title_full Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title_fullStr Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title_full_unstemmed Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title_short Methylation profiling of ductal carcinoma in situand its relationship to histopathological features
title_sort methylation profiling of ductal carcinoma in situand its relationship to histopathological features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303108/
https://www.ncbi.nlm.nih.gov/pubmed/25331261
http://dx.doi.org/10.1186/s13058-014-0423-9
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