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The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability
BACKGROUND: Cancer evolution depends on epigenetic and genetic diversity. Historically, in multiple myeloma (MM), subclonal diversity and tumor evolution have been investigated mostly from a genetic perspective. METHODS: Here, we performed an analysis of 42 MM samples from 21 patients by using enhan...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351364/ https://www.ncbi.nlm.nih.gov/pubmed/34372935 http://dx.doi.org/10.1186/s13073-021-00938-3 |
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author | Derrien, Jennifer Guérin-Charbonnel, Catherine Gaborit, Victor Campion, Loïc Devic, Magali Douillard, Elise Roi, Nathalie Avet-Loiseau, Hervé Decaux, Olivier Facon, Thierry Mallm, Jan-Philipp Eils, Roland Munshi, Nikhil C. Moreau, Philippe Herrmann, Carl Magrangeas, Florence Minvielle, Stéphane |
author_facet | Derrien, Jennifer Guérin-Charbonnel, Catherine Gaborit, Victor Campion, Loïc Devic, Magali Douillard, Elise Roi, Nathalie Avet-Loiseau, Hervé Decaux, Olivier Facon, Thierry Mallm, Jan-Philipp Eils, Roland Munshi, Nikhil C. Moreau, Philippe Herrmann, Carl Magrangeas, Florence Minvielle, Stéphane |
author_sort | Derrien, Jennifer |
collection | PubMed |
description | BACKGROUND: Cancer evolution depends on epigenetic and genetic diversity. Historically, in multiple myeloma (MM), subclonal diversity and tumor evolution have been investigated mostly from a genetic perspective. METHODS: Here, we performed an analysis of 42 MM samples from 21 patients by using enhanced reduced representation bisulfite sequencing (eRRBS). We combined several metrics of epigenetic heterogeneity to analyze DNA methylation heterogeneity in MM patients. RESULTS: We show that MM is characterized by the continuous accumulation of stochastic methylation at the promoters of development-related genes. High combinatorial entropy change is associated with poor outcomes in our pilot study and depends predominantly on partially methylated domains (PMDs). These PMDs, which represent the major source of inter- and intrapatient DNA methylation heterogeneity in MM, are linked to other key epigenetic aberrations, such as CpG island (CGI)/transcription start site (TSS) hypermethylation and H3K27me3 redistribution as well as 3D organization alterations. In addition, transcriptome analysis revealed that intratumor methylation heterogeneity was associated with low-level expression and high variability. CONCLUSIONS: We propose that disrupted DNA methylation in MM is responsible for high epigenetic and transcriptomic instability allowing tumor cells to adapt to environmental changes by tapping into a pool of evolutionary trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13073-021-00938-3). |
format | Online Article Text |
id | pubmed-8351364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83513642021-08-09 The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability Derrien, Jennifer Guérin-Charbonnel, Catherine Gaborit, Victor Campion, Loïc Devic, Magali Douillard, Elise Roi, Nathalie Avet-Loiseau, Hervé Decaux, Olivier Facon, Thierry Mallm, Jan-Philipp Eils, Roland Munshi, Nikhil C. Moreau, Philippe Herrmann, Carl Magrangeas, Florence Minvielle, Stéphane Genome Med Research BACKGROUND: Cancer evolution depends on epigenetic and genetic diversity. Historically, in multiple myeloma (MM), subclonal diversity and tumor evolution have been investigated mostly from a genetic perspective. METHODS: Here, we performed an analysis of 42 MM samples from 21 patients by using enhanced reduced representation bisulfite sequencing (eRRBS). We combined several metrics of epigenetic heterogeneity to analyze DNA methylation heterogeneity in MM patients. RESULTS: We show that MM is characterized by the continuous accumulation of stochastic methylation at the promoters of development-related genes. High combinatorial entropy change is associated with poor outcomes in our pilot study and depends predominantly on partially methylated domains (PMDs). These PMDs, which represent the major source of inter- and intrapatient DNA methylation heterogeneity in MM, are linked to other key epigenetic aberrations, such as CpG island (CGI)/transcription start site (TSS) hypermethylation and H3K27me3 redistribution as well as 3D organization alterations. In addition, transcriptome analysis revealed that intratumor methylation heterogeneity was associated with low-level expression and high variability. CONCLUSIONS: We propose that disrupted DNA methylation in MM is responsible for high epigenetic and transcriptomic instability allowing tumor cells to adapt to environmental changes by tapping into a pool of evolutionary trajectories. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13073-021-00938-3). BioMed Central 2021-08-09 /pmc/articles/PMC8351364/ /pubmed/34372935 http://dx.doi.org/10.1186/s13073-021-00938-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Derrien, Jennifer Guérin-Charbonnel, Catherine Gaborit, Victor Campion, Loïc Devic, Magali Douillard, Elise Roi, Nathalie Avet-Loiseau, Hervé Decaux, Olivier Facon, Thierry Mallm, Jan-Philipp Eils, Roland Munshi, Nikhil C. Moreau, Philippe Herrmann, Carl Magrangeas, Florence Minvielle, Stéphane The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title | The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title_full | The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title_fullStr | The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title_full_unstemmed | The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title_short | The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
title_sort | dna methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351364/ https://www.ncbi.nlm.nih.gov/pubmed/34372935 http://dx.doi.org/10.1186/s13073-021-00938-3 |
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