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Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma

BACKGROUND: Epigenetic mechanisms such as DNA methylation and histone modifications are important regulators of gene expression and are frequently involved in silencing tumor suppressor genes. METHODS: In order to identify genes that are epigenetically regulated in neuroblastoma tumors, we treated f...

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Autores principales: Carén, Helena, Djos, Anna, Nethander, Maria, Sjöberg, Rose-Marie, Kogner, Per, Enström, Camilla, Nilsson, Staffan, Martinsson, Tommy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045360/
https://www.ncbi.nlm.nih.gov/pubmed/21314941
http://dx.doi.org/10.1186/1471-2407-11-66
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author Carén, Helena
Djos, Anna
Nethander, Maria
Sjöberg, Rose-Marie
Kogner, Per
Enström, Camilla
Nilsson, Staffan
Martinsson, Tommy
author_facet Carén, Helena
Djos, Anna
Nethander, Maria
Sjöberg, Rose-Marie
Kogner, Per
Enström, Camilla
Nilsson, Staffan
Martinsson, Tommy
author_sort Carén, Helena
collection PubMed
description BACKGROUND: Epigenetic mechanisms such as DNA methylation and histone modifications are important regulators of gene expression and are frequently involved in silencing tumor suppressor genes. METHODS: In order to identify genes that are epigenetically regulated in neuroblastoma tumors, we treated four neuroblastoma cell lines with the demethylating agent 5-Aza-2'-deoxycytidine (5-Aza-dC) either separately or in conjunction with the histone deacetylase inhibitor trichostatin A (TSA). Expression was analyzed using whole-genome expression arrays to identify genes activated by the treatment. These data were then combined with data from genome-wide DNA methylation arrays to identify candidate genes silenced in neuroblastoma due to DNA methylation. RESULTS: We present eight genes (KRT19, PRKCDBP, SCNN1A, POU2F2, TGFBI, COL1A2, DHRS3 and DUSP23) that are methylated in neuroblastoma, most of them not previously reported as such, some of which also distinguish between biological subsets of neuroblastoma tumors. Differential methylation was observed for the genes SCNN1A (p < 0.001), PRKCDBP (p < 0.001) and KRT19 (p < 0.01). Among these, the mRNA expression of KRT19 and PRKCDBP was significantly lower in patients that have died from the disease compared with patients with no evidence of disease (fold change -8.3, p = 0.01 for KRT19 and fold change -2.4, p = 0.04 for PRKCDBP). CONCLUSIONS: In our study, a low methylation frequency of SCNN1A, PRKCDBP and KRT19 is significantly associated with favorable outcome in neuroblastoma. It is likely that analysis of specific DNA methylation will be one of several methods in future patient therapy stratification protocols for treatment of childhood neuroblastomas.
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spelling pubmed-30453602011-02-26 Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma Carén, Helena Djos, Anna Nethander, Maria Sjöberg, Rose-Marie Kogner, Per Enström, Camilla Nilsson, Staffan Martinsson, Tommy BMC Cancer Research Article BACKGROUND: Epigenetic mechanisms such as DNA methylation and histone modifications are important regulators of gene expression and are frequently involved in silencing tumor suppressor genes. METHODS: In order to identify genes that are epigenetically regulated in neuroblastoma tumors, we treated four neuroblastoma cell lines with the demethylating agent 5-Aza-2'-deoxycytidine (5-Aza-dC) either separately or in conjunction with the histone deacetylase inhibitor trichostatin A (TSA). Expression was analyzed using whole-genome expression arrays to identify genes activated by the treatment. These data were then combined with data from genome-wide DNA methylation arrays to identify candidate genes silenced in neuroblastoma due to DNA methylation. RESULTS: We present eight genes (KRT19, PRKCDBP, SCNN1A, POU2F2, TGFBI, COL1A2, DHRS3 and DUSP23) that are methylated in neuroblastoma, most of them not previously reported as such, some of which also distinguish between biological subsets of neuroblastoma tumors. Differential methylation was observed for the genes SCNN1A (p < 0.001), PRKCDBP (p < 0.001) and KRT19 (p < 0.01). Among these, the mRNA expression of KRT19 and PRKCDBP was significantly lower in patients that have died from the disease compared with patients with no evidence of disease (fold change -8.3, p = 0.01 for KRT19 and fold change -2.4, p = 0.04 for PRKCDBP). CONCLUSIONS: In our study, a low methylation frequency of SCNN1A, PRKCDBP and KRT19 is significantly associated with favorable outcome in neuroblastoma. It is likely that analysis of specific DNA methylation will be one of several methods in future patient therapy stratification protocols for treatment of childhood neuroblastomas. BioMed Central 2011-02-11 /pmc/articles/PMC3045360/ /pubmed/21314941 http://dx.doi.org/10.1186/1471-2407-11-66 Text en Copyright ©2011 Carén et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Carén, Helena
Djos, Anna
Nethander, Maria
Sjöberg, Rose-Marie
Kogner, Per
Enström, Camilla
Nilsson, Staffan
Martinsson, Tommy
Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title_full Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title_fullStr Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title_full_unstemmed Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title_short Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
title_sort identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045360/
https://www.ncbi.nlm.nih.gov/pubmed/21314941
http://dx.doi.org/10.1186/1471-2407-11-66
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