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Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors

Neuroblastoma is a very heterogeneous tumor of childhood. The clinical spectra range from very aggressive metastatic disease to spontaneous regression, even without therapy. Aberrant DNA methylation pattern is a common feature of most cancers. For neuroblastoma, it has been demonstrated both for sin...

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Autores principales: Olsson, Maja, Beck, Stephan, Kogner, Per, Martinsson, Tommy, Carén, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846113/
https://www.ncbi.nlm.nih.gov/pubmed/26786290
http://dx.doi.org/10.1080/15592294.2016.1138195
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author Olsson, Maja
Beck, Stephan
Kogner, Per
Martinsson, Tommy
Carén, Helena
author_facet Olsson, Maja
Beck, Stephan
Kogner, Per
Martinsson, Tommy
Carén, Helena
author_sort Olsson, Maja
collection PubMed
description Neuroblastoma is a very heterogeneous tumor of childhood. The clinical spectra range from very aggressive metastatic disease to spontaneous regression, even without therapy. Aberrant DNA methylation pattern is a common feature of most cancers. For neuroblastoma, it has been demonstrated both for single genes as well as genome-wide, where a so-called methylator phenotype has been described. Here, we present a study using Illumina 450K methylation arrays on 60 neuroblastoma tumors. We show that aggressive tumors, characterized by International Neuroblastoma Risk Group (INRG) as stage M, are hypermethylated compared to low-grade tumors. On the contrary, INRG stage L tumors display more non-CpG methylation. The genes with the highest number of hypermethylated CpG sites in INRG M tumors are TERT, PCDHGA4, DLX5, and DLX6-AS1. Gene ontology analysis showed a representation of neuronal tumor relevant gene functions among the differentially methylated genes. For validation, we used a set of independent tumors previously analyzed with the Illumina 27K methylation arrays, which confirmed the differentially methylated sites. Top candidate genes with aberrant methylation were analyzed for altered gene expression through the R2 platform (http://r2.amc.nl), and for correlations between methylation and gene expression in a public dataset. Altered expression in nonsurvivors was found for the genes B3GALT4 and KIAA1949, CLIC5, DLX6-AS, TERT, and PIRT, and strongest correlations were found for TRIM36, KIAA0513, and PIRT. Our data indicate that methylation profiling can be used for patient stratification and informs on epigenetically deregulated genes with the potential of increasing our knowledge about the underlying mechanisms of tumor development.
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spelling pubmed-48461132016-05-09 Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors Olsson, Maja Beck, Stephan Kogner, Per Martinsson, Tommy Carén, Helena Epigenetics Research Paper Neuroblastoma is a very heterogeneous tumor of childhood. The clinical spectra range from very aggressive metastatic disease to spontaneous regression, even without therapy. Aberrant DNA methylation pattern is a common feature of most cancers. For neuroblastoma, it has been demonstrated both for single genes as well as genome-wide, where a so-called methylator phenotype has been described. Here, we present a study using Illumina 450K methylation arrays on 60 neuroblastoma tumors. We show that aggressive tumors, characterized by International Neuroblastoma Risk Group (INRG) as stage M, are hypermethylated compared to low-grade tumors. On the contrary, INRG stage L tumors display more non-CpG methylation. The genes with the highest number of hypermethylated CpG sites in INRG M tumors are TERT, PCDHGA4, DLX5, and DLX6-AS1. Gene ontology analysis showed a representation of neuronal tumor relevant gene functions among the differentially methylated genes. For validation, we used a set of independent tumors previously analyzed with the Illumina 27K methylation arrays, which confirmed the differentially methylated sites. Top candidate genes with aberrant methylation were analyzed for altered gene expression through the R2 platform (http://r2.amc.nl), and for correlations between methylation and gene expression in a public dataset. Altered expression in nonsurvivors was found for the genes B3GALT4 and KIAA1949, CLIC5, DLX6-AS, TERT, and PIRT, and strongest correlations were found for TRIM36, KIAA0513, and PIRT. Our data indicate that methylation profiling can be used for patient stratification and informs on epigenetically deregulated genes with the potential of increasing our knowledge about the underlying mechanisms of tumor development. Taylor & Francis 2016-01-19 /pmc/articles/PMC4846113/ /pubmed/26786290 http://dx.doi.org/10.1080/15592294.2016.1138195 Text en © 2016 Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted.
spellingShingle Research Paper
Olsson, Maja
Beck, Stephan
Kogner, Per
Martinsson, Tommy
Carén, Helena
Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title_full Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title_fullStr Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title_full_unstemmed Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title_short Genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
title_sort genome-wide methylation profiling identifies novel methylated genes in neuroblastoma tumors
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846113/
https://www.ncbi.nlm.nih.gov/pubmed/26786290
http://dx.doi.org/10.1080/15592294.2016.1138195
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