24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: not found
          • Article: not found

          Chemotherapy drugs induce pyroptosis through caspase-3 cleavage of a Gasdermin

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The history of cancer epigenetics.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

              MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.
                Bookmark

                Author and article information

                Contributors
                lieselot.croes@uantwerpen.be
                matthias.beyens@uantwerpen.be
                erik.fransen@uantwerpen.be
                joe.ibrahim@uantwerpen.be
                wim.vandenberghe@uantwerpen.be
                arvid.suls@uantwerpen.be
                Marc.Peeters@uza.be
                Patrick.Pauwels@uza.be
                +3232759762 , guy.vancamp@uantwerpen.be
                ken.opdebeeck@uantwerpen.be
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                11 April 2018
                11 April 2018
                2018
                : 10
                : 51
                Affiliations
                [1 ]Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43/6, BE-2650 Edegem, Antwerp Belgium
                [2 ]Center for Oncological Research, University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, BE-2610 Wilrijk, Antwerp Belgium
                [3 ]ISNI 0000 0001 0790 3681, GRID grid.5284.b, StatUa Center for Statistics, , University of Antwerp, ; Prinsstraat 13, BE-2000 Antwerp, Belgium
                [4 ]ISNI 0000 0001 0790 3681, GRID grid.5284.b, Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling (PPES), , University of Antwerp, ; Universiteitsplein 1, BE-2610 Wilrijk, Antwerp Belgium
                Article
                479
                10.1186/s13148-018-0479-y
                5896072
                29682089
                ac204e1a-3399-4841-882b-6c70ab712241
                © 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.

                History
                : 8 January 2018
                : 26 March 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003130, Fonds Wetenschappelijk Onderzoek;
                Award ID: 11Y9817N
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Genetics
                dfna5,methylation,breast cancer,detection biomarker,prognostic biomarker,tcga
                Genetics
                dfna5, methylation, breast cancer, detection biomarker, prognostic biomarker, tcga

                Comments

                Comment on this article