Cargando…

Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer

BACKGROUND: Breast cancer is the most frequent cancer among women worldwide. Biomarkers for early detection and prognosis of these patients are needed. We hypothesized that deafness, autosomal dominant 5 (DFNA5) may be a valuable biomarker, based upon strong indications for its role as tumor suppres...

Descripción completa

Detalles Bibliográficos
Autores principales: Croes, Lieselot, Beyens, Matthias, Fransen, Erik, Ibrahim, Joe, Vanden Berghe, Wim, Suls, Arvid, Peeters, Marc, Pauwels, Patrick, Van Camp, Guy, Op de Beeck, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896072/
https://www.ncbi.nlm.nih.gov/pubmed/29682089
http://dx.doi.org/10.1186/s13148-018-0479-y
_version_ 1783313768522973184
author Croes, Lieselot
Beyens, Matthias
Fransen, Erik
Ibrahim, Joe
Vanden Berghe, Wim
Suls, Arvid
Peeters, Marc
Pauwels, Patrick
Van Camp, Guy
Op de Beeck, Ken
author_facet Croes, Lieselot
Beyens, Matthias
Fransen, Erik
Ibrahim, Joe
Vanden Berghe, Wim
Suls, Arvid
Peeters, Marc
Pauwels, Patrick
Van Camp, Guy
Op de Beeck, Ken
author_sort Croes, Lieselot
collection PubMed
description BACKGROUND: Breast cancer is the most frequent cancer among women worldwide. Biomarkers for early detection and prognosis of these patients are needed. We hypothesized that deafness, autosomal dominant 5 (DFNA5) may be a valuable biomarker, based upon strong indications for its role as tumor suppressor gene and its function in regulated cell death. In this study, we aimed to analyze DFNA5 methylation and expression in the largest breast cancer cohort to date using publicly available data from TCGA, in order to further unravel the role of DFNA5 as detection and/or prognostic marker in breast cancer. We analyzed Infinium HumanMethylation450k data, covering 22 different CpGs in the DFNA5 gene (668 breast adenocarcinomas and 85 normal breast samples) and DFNA5 expression (Agilent 244K Custom Gene Expression: 476 breast adenocarcinomas and 56 normal breast samples; RNA-sequencing: 666 breast adenocarcinomas and 71 normal breast samples). RESULTS: DFNA5 methylation and expression were significantly different between breast cancer and normal breast samples. Overall, breast cancer samples showed higher DFNA5 methylation in the putative gene promoter compared to normal breast samples, whereas in the gene body and upstream of the putative gene promoter, the opposite is true. Furthermore, DFNA5 methylation, in 10 out of 22 CpGs, and expression were significantly higher in lobular compared to ductal breast cancers. An important result of this study was the identification of a combination of one CpG in the gene promoter (CpG07504598) and one CpG in the gene body (CpG12922093) of DFNA5, which was able to discriminate between breast cancer and normal breast samples (AUC = 0.93). This model was externally validated in three independent datasets. Moreover, we showed that estrogen receptor state is associated with DFNA5 methylation and expression. Finally, we were able to find a significant effect of DFNA5 gene body methylation on a 5-year overall survival time. CONCLUSIONS: We conclude that DFNA5 methylation shows strong potential as detection and prognostic biomarker for breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0479-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5896072
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-58960722018-04-20 Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer Croes, Lieselot Beyens, Matthias Fransen, Erik Ibrahim, Joe Vanden Berghe, Wim Suls, Arvid Peeters, Marc Pauwels, Patrick Van Camp, Guy Op de Beeck, Ken Clin Epigenetics Research BACKGROUND: Breast cancer is the most frequent cancer among women worldwide. Biomarkers for early detection and prognosis of these patients are needed. We hypothesized that deafness, autosomal dominant 5 (DFNA5) may be a valuable biomarker, based upon strong indications for its role as tumor suppressor gene and its function in regulated cell death. In this study, we aimed to analyze DFNA5 methylation and expression in the largest breast cancer cohort to date using publicly available data from TCGA, in order to further unravel the role of DFNA5 as detection and/or prognostic marker in breast cancer. We analyzed Infinium HumanMethylation450k data, covering 22 different CpGs in the DFNA5 gene (668 breast adenocarcinomas and 85 normal breast samples) and DFNA5 expression (Agilent 244K Custom Gene Expression: 476 breast adenocarcinomas and 56 normal breast samples; RNA-sequencing: 666 breast adenocarcinomas and 71 normal breast samples). RESULTS: DFNA5 methylation and expression were significantly different between breast cancer and normal breast samples. Overall, breast cancer samples showed higher DFNA5 methylation in the putative gene promoter compared to normal breast samples, whereas in the gene body and upstream of the putative gene promoter, the opposite is true. Furthermore, DFNA5 methylation, in 10 out of 22 CpGs, and expression were significantly higher in lobular compared to ductal breast cancers. An important result of this study was the identification of a combination of one CpG in the gene promoter (CpG07504598) and one CpG in the gene body (CpG12922093) of DFNA5, which was able to discriminate between breast cancer and normal breast samples (AUC = 0.93). This model was externally validated in three independent datasets. Moreover, we showed that estrogen receptor state is associated with DFNA5 methylation and expression. Finally, we were able to find a significant effect of DFNA5 gene body methylation on a 5-year overall survival time. CONCLUSIONS: We conclude that DFNA5 methylation shows strong potential as detection and prognostic biomarker for breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0479-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-11 /pmc/articles/PMC5896072/ /pubmed/29682089 http://dx.doi.org/10.1186/s13148-018-0479-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Croes, Lieselot
Beyens, Matthias
Fransen, Erik
Ibrahim, Joe
Vanden Berghe, Wim
Suls, Arvid
Peeters, Marc
Pauwels, Patrick
Van Camp, Guy
Op de Beeck, Ken
Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title_full Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title_fullStr Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title_full_unstemmed Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title_short Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer
title_sort large-scale analysis of dfna5 methylation reveals its potential as biomarker for breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896072/
https://www.ncbi.nlm.nih.gov/pubmed/29682089
http://dx.doi.org/10.1186/s13148-018-0479-y
work_keys_str_mv AT croeslieselot largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT beyensmatthias largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT fransenerik largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT ibrahimjoe largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT vandenberghewim largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT sulsarvid largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT peetersmarc largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT pauwelspatrick largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT vancampguy largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer
AT opdebeeckken largescaleanalysisofdfna5methylationrevealsitspotentialasbiomarkerforbreastcancer