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Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns
Due to the heterogeneous nature of breast cancer and the widespread use of single-gene studies, there is limited knowledge of multi-gene, locus-specific DNA methylation patterns in relation to molecular subtype and clinical features. We, therefore, quantified DNA methylation of 70 candidate gene loc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832780/ https://www.ncbi.nlm.nih.gov/pubmed/24212716 http://dx.doi.org/10.1007/s10549-013-2738-0 |
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author | Bardowell, Sabrina A. Parker, Joel Fan, Cheng Crandell, Jamie Perou, Charles M. Swift-Scanlan, Theresa |
author_facet | Bardowell, Sabrina A. Parker, Joel Fan, Cheng Crandell, Jamie Perou, Charles M. Swift-Scanlan, Theresa |
author_sort | Bardowell, Sabrina A. |
collection | PubMed |
description | Due to the heterogeneous nature of breast cancer and the widespread use of single-gene studies, there is limited knowledge of multi-gene, locus-specific DNA methylation patterns in relation to molecular subtype and clinical features. We, therefore, quantified DNA methylation of 70 candidate gene loci in 140 breast tumors and matched normal tissues and determined associations with gene expression and tumor subtype. Using Sequenom’s EpiTYPER platform, approximately 1,200 CpGs were interrogated and revealed six DNA methylation patterns in breast tumors relative to matched normal tissue. Differential methylation of several gene loci was observed within all molecular subtypes, while other patterns were subtype-dependent. Methylation of numerous gene loci was inversely correlated with gene expression, and in some cases, this correlation was only observed within specific breast tumor subtypes. Our findings were validated on a larger set of tumors and matched adjacent normal tissue from The Cancer Genome Atlas dataset, which utilized methylation data derived from both Illumina Infinium 27 and 450 k arrays. These findings highlight the need to control for subtype when interpreting DNA methylation results, and the importance of interrogating multiple CpGs across varied gene regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10549-013-2738-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-3832780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-38327802013-11-29 Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns Bardowell, Sabrina A. Parker, Joel Fan, Cheng Crandell, Jamie Perou, Charles M. Swift-Scanlan, Theresa Breast Cancer Res Treat Preclinical Study Due to the heterogeneous nature of breast cancer and the widespread use of single-gene studies, there is limited knowledge of multi-gene, locus-specific DNA methylation patterns in relation to molecular subtype and clinical features. We, therefore, quantified DNA methylation of 70 candidate gene loci in 140 breast tumors and matched normal tissues and determined associations with gene expression and tumor subtype. Using Sequenom’s EpiTYPER platform, approximately 1,200 CpGs were interrogated and revealed six DNA methylation patterns in breast tumors relative to matched normal tissue. Differential methylation of several gene loci was observed within all molecular subtypes, while other patterns were subtype-dependent. Methylation of numerous gene loci was inversely correlated with gene expression, and in some cases, this correlation was only observed within specific breast tumor subtypes. Our findings were validated on a larger set of tumors and matched adjacent normal tissue from The Cancer Genome Atlas dataset, which utilized methylation data derived from both Illumina Infinium 27 and 450 k arrays. These findings highlight the need to control for subtype when interpreting DNA methylation results, and the importance of interrogating multiple CpGs across varied gene regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10549-013-2738-0) contains supplementary material, which is available to authorized users. Springer US 2013-11-10 2013 /pmc/articles/PMC3832780/ /pubmed/24212716 http://dx.doi.org/10.1007/s10549-013-2738-0 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by-nc/2.5/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Preclinical Study Bardowell, Sabrina A. Parker, Joel Fan, Cheng Crandell, Jamie Perou, Charles M. Swift-Scanlan, Theresa Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title | Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title_full | Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title_fullStr | Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title_full_unstemmed | Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title_short | Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
title_sort | differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns |
topic | Preclinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832780/ https://www.ncbi.nlm.nih.gov/pubmed/24212716 http://dx.doi.org/10.1007/s10549-013-2738-0 |
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