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      Genome-wide DNA methylation analysis reveals estrogen-mediated epigenetic repression of metallothionein-1 gene cluster in breast cancer

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          Abstract

          Background

          Recent genome-wide analysis has shown that DNA methylation spans long stretches of chromosome regions consisting of clusters of contiguous CpG islands or gene families. Hypermethylation of various gene clusters has been reported in many types of cancer. In this study, we conducted methyl-binding domain capture (MBDCap) sequencing (MBD-seq) analysis on a breast cancer cohort consisting of 77 patients and 10 normal controls, as well as a panel of 38 breast cancer cell lines.

          Results

          Bioinformatics analysis determined seven gene clusters with a significant difference in overall survival (OS) and further revealed a distinct feature that the conservation of a large gene cluster (approximately 70 kb) metallothionein-1 (MT1) among 45 species is much lower than the average of all RefSeq genes. Furthermore, we found that DNA methylation is an important epigenetic regulator contributing to gene repression of MT1 gene cluster in both ERα positive (ERα+) and ERα negative (ERα−) breast tumors. In silico analysis revealed much lower gene expression of this cluster in The Cancer Genome Atlas (TCGA) cohort for ERα + tumors. To further investigate the role of estrogen, we conducted 17β-estradiol (E2) and demethylating agent 5-aza-2′-deoxycytidine (DAC) treatment in various breast cancer cell types. Cell proliferation and invasion assays suggested MT1F and MT1M may play an anti-oncogenic role in breast cancer.

          Conclusions

          Our data suggests that DNA methylation in large contiguous gene clusters can be potential prognostic markers of breast cancer. Further investigation of these clusters revealed that estrogen mediates epigenetic repression of MT1 cluster in ERα + breast cancer cell lines. In all, our studies identify thousands of breast tumor hypermethylated regions for the first time, in particular, discovering seven large contiguous hypermethylated gene clusters.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13148-015-0045-9) contains supplementary material, which is available to authorized users.

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          Most cited references31

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          An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs).

          We report a novel resource (methylation profiles of DNA, or mPod) for human genome-wide tissue-specific DNA methylation profiles. mPod consists of three fully integrated parts, genome-wide DNA methylation reference profiles of 13 normal somatic tissues, placenta, sperm, and an immortalized cell line, a visualization tool that has been integrated with the Ensembl genome browser and a new algorithm for the analysis of immunoprecipitation-based DNA methylation profiles. We demonstrate the utility of our resource by identifying the first comprehensive genome-wide set of tissue-specific differentially methylated regions (tDMRs) that may play a role in cellular identity and the regulation of tissue-specific genome function. We also discuss the implications of our findings with respect to the regulatory potential of regions with varied CpG density, gene expression, transcription factor motifs, gene ontology, and correlation with other epigenetic marks such as histone modifications.
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            A prognostic DNA methylation signature for stage I non-small-cell lung cancer.

            Non-small-cell lung cancer (NSCLC) is a tumor in which only small improvements in clinical outcome have been achieved. The issue is critical for stage I patients for whom there are no available biomarkers that indicate which high-risk patients should receive adjuvant chemotherapy. We aimed to find DNA methylation markers that could be helpful in this regard. A DNA methylation microarray that analyzes 450,000 CpG sites was used to study tumoral DNA obtained from 444 patients with NSCLC that included 237 stage I tumors. The prognostic DNA methylation markers were validated by a single-methylation pyrosequencing assay in an independent cohort of 143 patients with stage I NSCLC. Unsupervised clustering of the 10,000 most variable DNA methylation sites in the discovery cohort identified patients with high-risk stage I NSCLC who had shorter relapse-free survival (RFS; hazard ratio [HR], 2.35; 95% CI, 1.29 to 4.28; P = .004). The study in the validation cohort of the significant methylated sites from the discovery cohort found that hypermethylation of five genes was significantly associated with shorter RFS in stage I NSCLC: HIST1H4F, PCDHGB6, NPBWR1, ALX1, and HOXA9. A signature based on the number of hypermethylated events distinguished patients with high- and low-risk stage I NSCLC (HR, 3.24; 95% CI, 1.61 to 6.54; P = .001). The DNA methylation signature of NSCLC affects the outcome of stage I patients, and it can be practically determined by user-friendly polymerase chain reaction assays. The analysis of the best DNA methylation biomarkers improved prognostic accuracy beyond standard staging.
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              Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay.

              De novo methylation of CpG islands is a common phenomenon in human cancer, but the mechanisms of cancer-associated DNA methylation are not known. We have used tiling arrays in combination with the methylated CpG island recovery assay to investigate methylation of CpG islands genome-wide and at high resolution. We find that all four HOX gene clusters on chromosomes 2, 7, 12, and 17 are preferential targets for DNA methylation in cancer cell lines and in early-stage lung cancer. CpG islands associated with many other homeobox genes, such as SIX, LHX, PAX, DLX, and Engrailed, were highly methylated as well. Altogether, more than half (104 of 192) of all CpG island-associated homeobox genes in the lung cancer cell line A549 were methylated. Analysis of paralogous HOX genes showed that not all paralogues undergo cancer-associated methylation simultaneously. The HOXA cluster was analyzed in greater detail. Comparison with ENCODE-derived data shows that lack of methylation at CpG-rich sequences correlates with presence of the active chromatin mark, histone H3 lysine-4 methylation in the HOXA region. Methylation analysis of HOXA genes in primary squamous cell carcinomas of the lung led to the identification of the HOXA7- and HOXA9-associated CpG islands as frequent methylation targets in stage 1 tumors. Homeobox genes are potentially useful as DNA methylation markers for early diagnosis of the disease. The finding of widespread methylation of homeobox genes lends support to the hypothesis that a substantial fraction of genes methylated in human cancer are targets of the Polycomb complex.
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                Author and article information

                Contributors
                jadhav@livemail.uthscsa.edu
                yez@uthscsa.edu
                gyntsgh@gmail.com
                LiuJ6@uthscsa.edu
                HsuP@livemail.uthscsa.edu
                ywhuang@mcw.edu
                lbarangel@yahoo.com
                hclai@ndmctsgh.edu.tw
                jcroa@med.puc.cl
                kirma@uthscsa.edu
                huangt3@uthscsa.edu
                jinv@uthscsa.edu
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                24 February 2015
                24 February 2015
                2015
                : 7
                : 1
                : 13
                Affiliations
                [ ]Department of Molecular Medicine/Institute of Biotechnology, University of Texas Health Science Center at San Antonio, STRF, Room 225, 7703 Floyd Curl Drive, San Antonio, 78229 TX USA
                [ ]Department of Obstetrics and Gynecology, Taipei Medical University Shuang Ho Hospital, New Taipei City, 23561 Taiwan
                [ ]School of Medicine, Taipei Medical University, No. 250, Wu-Hsing Street, Taipei, 110 Taiwan
                [ ]Graduate Institute of Life Sciences, Department and Graduate Institute of Biochemistry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
                [ ]Department of Obstetrics and Gynecology, Medical College of Wisconsin, 9200 West Wisconsin Avenue, Froedtert Medical College Lab Building (FMCLB) 258, Milwaukee, 53226 WI USA
                [ ]Departamento de Pathologı’a, Universidad de la Frontera, Claro Solar 115, Temuco, Chile
                [ ]Department of Pharmaceutical Sciences, Biotechnology Program/RENORBIO, Health Sciences Center, Universidade Federal do Espirito Santo, Av. Marechal Campos, 1468, Maruipe, 29040-090 Vitoria ES Brazil
                [ ]Programa Ciencias Sem Fronteiras, CNPq, Brasilia, Brazil
                [ ]Cancer Therapy and Research Center, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, 78229 TX USA
                [ ]Department of Epidemiology and Biostatistics, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, 78229 TX USA
                Article
                45
                10.1186/s13148-015-0045-9
                4355986
                25763113
                779374c6-ef56-4bdf-837f-00fb5f911860
                © Jadhav et al.; licensee BioMed Central. 2015

                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.

                History
                : 24 August 2014
                : 13 January 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Genetics
                dna methylation,mt1
                Genetics
                dna methylation, mt1

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