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Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma
BACKGROUND: Urothelial carcinoma of the bladder (UC) is a common malignancy. Although extensive transcriptome analysis has provided insights into the gene expression patterns of this tumor type, the mechanistic underpinnings of differential methylation remain poorly understood. Multi-level genomic d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373102/ https://www.ncbi.nlm.nih.gov/pubmed/25810763 http://dx.doi.org/10.1186/s13073-015-0144-4 |
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author | Aine, Mattias Sjödahl, Gottfrid Eriksson, Pontus Veerla, Srinivas Lindgren, David Ringnér, Markus Höglund, Mattias |
author_facet | Aine, Mattias Sjödahl, Gottfrid Eriksson, Pontus Veerla, Srinivas Lindgren, David Ringnér, Markus Höglund, Mattias |
author_sort | Aine, Mattias |
collection | PubMed |
description | BACKGROUND: Urothelial carcinoma of the bladder (UC) is a common malignancy. Although extensive transcriptome analysis has provided insights into the gene expression patterns of this tumor type, the mechanistic underpinnings of differential methylation remain poorly understood. Multi-level genomic data may be used to profile the regulatory potential and landscape of differential methylation in cancer and gain understanding of the processes underlying epigenetic and phenotypic characteristics of tumors. METHODS: We perform genome-wide DNA methylation profiling of 98 gene-expression subtyped tumors to identify between-tumor differentially methylated regions (DMRs). We integrate multi-level publically available genomic data generated by the ENCODE consortium to characterize the regulatory potential of UC DMRs. RESULTS: We identify 5,453 between-tumor DMRs and derive four DNA methylation subgroups of UC with distinct associations to clinicopathological features and gene expression subtypes. We characterize three distinct patterns of differential methylation and use ENCODE data to show that tumor subgroup-defining DMRs display differential chromatin state, and regulatory factor binding preferences. Finally, we characterize an epigenetic switch involving the HOXA-genes with associations to tumor differentiation states and patient prognosis. CONCLUSIONS: Genome-wide DMR methylation patterns are reflected in the gene expression subtypes of UC. UC DMRs display three distinct methylation patterns, each associated with intrinsic features of the genome and differential regulatory factor binding preferences. Epigenetic inactivation of HOX-genes correlates with tumor differentiation states and may present an actionable epigenetic alteration in UC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0144-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4373102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43731022015-03-26 Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma Aine, Mattias Sjödahl, Gottfrid Eriksson, Pontus Veerla, Srinivas Lindgren, David Ringnér, Markus Höglund, Mattias Genome Med Research BACKGROUND: Urothelial carcinoma of the bladder (UC) is a common malignancy. Although extensive transcriptome analysis has provided insights into the gene expression patterns of this tumor type, the mechanistic underpinnings of differential methylation remain poorly understood. Multi-level genomic data may be used to profile the regulatory potential and landscape of differential methylation in cancer and gain understanding of the processes underlying epigenetic and phenotypic characteristics of tumors. METHODS: We perform genome-wide DNA methylation profiling of 98 gene-expression subtyped tumors to identify between-tumor differentially methylated regions (DMRs). We integrate multi-level publically available genomic data generated by the ENCODE consortium to characterize the regulatory potential of UC DMRs. RESULTS: We identify 5,453 between-tumor DMRs and derive four DNA methylation subgroups of UC with distinct associations to clinicopathological features and gene expression subtypes. We characterize three distinct patterns of differential methylation and use ENCODE data to show that tumor subgroup-defining DMRs display differential chromatin state, and regulatory factor binding preferences. Finally, we characterize an epigenetic switch involving the HOXA-genes with associations to tumor differentiation states and patient prognosis. CONCLUSIONS: Genome-wide DMR methylation patterns are reflected in the gene expression subtypes of UC. UC DMRs display three distinct methylation patterns, each associated with intrinsic features of the genome and differential regulatory factor binding preferences. Epigenetic inactivation of HOX-genes correlates with tumor differentiation states and may present an actionable epigenetic alteration in UC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0144-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-10 /pmc/articles/PMC4373102/ /pubmed/25810763 http://dx.doi.org/10.1186/s13073-015-0144-4 Text en © Aine 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. |
spellingShingle | Research Aine, Mattias Sjödahl, Gottfrid Eriksson, Pontus Veerla, Srinivas Lindgren, David Ringnér, Markus Höglund, Mattias Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title | Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title_full | Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title_fullStr | Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title_full_unstemmed | Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title_short | Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma |
title_sort | integrative epigenomic analysis of differential dna methylation in urothelial carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373102/ https://www.ncbi.nlm.nih.gov/pubmed/25810763 http://dx.doi.org/10.1186/s13073-015-0144-4 |
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