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The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma
BACKGROUND: Multiple Myeloma (MM) is a hematological malignancy with genomic heterogeneity and poor survival outcome. Apart from the central role of genetic lesions, epigenetic anomalies have been identified as drivers in the development of the disease. METHODS: Alterations in the DNA methylome were...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409490/ https://www.ncbi.nlm.nih.gov/pubmed/32762714 http://dx.doi.org/10.1186/s13045-020-00933-y |
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author | Choudhury, Samrat Roy Ashby, Cody Tytarenko, Ruslana Bauer, Michael Wang, Yan Deshpande, Shayu Den, Judith Schinke, Carolina Zangari, Maurizio Thanendrarajan, Sharmilan Davies, Faith E. van Rhee, Frits Morgan, Gareth J. Walker, Brian A. |
author_facet | Choudhury, Samrat Roy Ashby, Cody Tytarenko, Ruslana Bauer, Michael Wang, Yan Deshpande, Shayu Den, Judith Schinke, Carolina Zangari, Maurizio Thanendrarajan, Sharmilan Davies, Faith E. van Rhee, Frits Morgan, Gareth J. Walker, Brian A. |
author_sort | Choudhury, Samrat Roy |
collection | PubMed |
description | BACKGROUND: Multiple Myeloma (MM) is a hematological malignancy with genomic heterogeneity and poor survival outcome. Apart from the central role of genetic lesions, epigenetic anomalies have been identified as drivers in the development of the disease. METHODS: Alterations in the DNA methylome were mapped in 52 newly diagnosed MM (NDMM) patients of six molecular subgroups and matched with loci-specific chromatin marks to define their impact on gene expression. Differential DNA methylation analysis was performed using DMAP with a ≥10% increase (hypermethylation) or decrease (hypomethylation) in NDMM subgroups, compared to control samples, considered significant for all the subsequent analyses with p<0.05 after adjusting for a false discovery rate. RESULTS: We identified differentially methylated regions (DMRs) within the etiological cytogenetic subgroups of myeloma, compared to control plasma cells. Using gene expression data we identified genes that are dysregulated and correlate with DNA methylation levels, indicating a role for DNA methylation in their transcriptional control. We demonstrated that 70% of DMRs in the MM epigenome were hypomethylated and overlapped with repressive H3K27me3. In contrast, differentially expressed genes containing hypermethylated DMRs within the gene body or hypomethylated DMRs at the promoters overlapped with H3K4me1, H3K4me3, or H3K36me3 marks. Additionally, enrichment of BRD4 or MED1 at the H3K27ac enriched DMRs functioned as super-enhancers (SE), controlling the overexpression of genes or gene-cassettes. CONCLUSIONS: Therefore, this study presents the underlying epigenetic regulatory networks of gene expression dysregulation in NDMM patients and identifies potential targets for future therapies. |
format | Online Article Text |
id | pubmed-7409490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74094902020-08-07 The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma Choudhury, Samrat Roy Ashby, Cody Tytarenko, Ruslana Bauer, Michael Wang, Yan Deshpande, Shayu Den, Judith Schinke, Carolina Zangari, Maurizio Thanendrarajan, Sharmilan Davies, Faith E. van Rhee, Frits Morgan, Gareth J. Walker, Brian A. J Hematol Oncol Research BACKGROUND: Multiple Myeloma (MM) is a hematological malignancy with genomic heterogeneity and poor survival outcome. Apart from the central role of genetic lesions, epigenetic anomalies have been identified as drivers in the development of the disease. METHODS: Alterations in the DNA methylome were mapped in 52 newly diagnosed MM (NDMM) patients of six molecular subgroups and matched with loci-specific chromatin marks to define their impact on gene expression. Differential DNA methylation analysis was performed using DMAP with a ≥10% increase (hypermethylation) or decrease (hypomethylation) in NDMM subgroups, compared to control samples, considered significant for all the subsequent analyses with p<0.05 after adjusting for a false discovery rate. RESULTS: We identified differentially methylated regions (DMRs) within the etiological cytogenetic subgroups of myeloma, compared to control plasma cells. Using gene expression data we identified genes that are dysregulated and correlate with DNA methylation levels, indicating a role for DNA methylation in their transcriptional control. We demonstrated that 70% of DMRs in the MM epigenome were hypomethylated and overlapped with repressive H3K27me3. In contrast, differentially expressed genes containing hypermethylated DMRs within the gene body or hypomethylated DMRs at the promoters overlapped with H3K4me1, H3K4me3, or H3K36me3 marks. Additionally, enrichment of BRD4 or MED1 at the H3K27ac enriched DMRs functioned as super-enhancers (SE), controlling the overexpression of genes or gene-cassettes. CONCLUSIONS: Therefore, this study presents the underlying epigenetic regulatory networks of gene expression dysregulation in NDMM patients and identifies potential targets for future therapies. BioMed Central 2020-08-06 /pmc/articles/PMC7409490/ /pubmed/32762714 http://dx.doi.org/10.1186/s13045-020-00933-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Choudhury, Samrat Roy Ashby, Cody Tytarenko, Ruslana Bauer, Michael Wang, Yan Deshpande, Shayu Den, Judith Schinke, Carolina Zangari, Maurizio Thanendrarajan, Sharmilan Davies, Faith E. van Rhee, Frits Morgan, Gareth J. Walker, Brian A. The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title | The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title_full | The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title_fullStr | The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title_full_unstemmed | The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title_short | The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
title_sort | functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409490/ https://www.ncbi.nlm.nih.gov/pubmed/32762714 http://dx.doi.org/10.1186/s13045-020-00933-y |
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