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Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers.
- Source :
-
Genome biology [Genome Biol] 2012 Oct 03; Vol. 13 (10), pp. R95. Date of Electronic Publication: 2012 Oct 03. - Publication Year :
- 2012
-
Abstract
- Background: Accurate outcome prediction in neuroblastoma, which is necessary to enable the optimal choice of risk-related therapy, remains a challenge. To improve neuroblastoma patient stratification, this study aimed to identify prognostic tumor DNA methylation biomarkers.<br />Results: To identify genes silenced by promoter methylation, we first applied two independent genome-wide methylation screening methodologies to eight neuroblastoma cell lines. Specifically, we used re-expression profiling upon 5-aza-2'-deoxycytidine (DAC) treatment and massively parallel sequencing after capturing with a methyl-CpG-binding domain (MBD-seq). Putative methylation markers were selected from DAC-upregulated genes through a literature search and an upfront methylation-specific PCR on 20 primary neuroblastoma tumors, as well as through MBD- seq in combination with publicly available neuroblastoma tumor gene expression data. This yielded 43 candidate biomarkers that were subsequently tested by high-throughput methylation-specific PCR on an independent cohort of 89 primary neuroblastoma tumors that had been selected for risk classification and survival. Based on this analysis, methylation of KRT19, FAS, PRPH, CNR1, QPCT, HIST1H3C, ACSS3 and GRB10 was found to be associated with at least one of the classical risk factors, namely age, stage or MYCN status. Importantly, HIST1H3C and GNAS methylation was associated with overall and/or event-free survival.<br />Conclusions: This study combines two genome-wide methylation discovery methodologies and is the most extensive validation study in neuroblastoma performed thus far. We identified several novel prognostic DNA methylation markers and provide a basis for the development of a DNA methylation-based prognostic classifier in neuroblastoma.
- Subjects :
- Azacitidine pharmacology
Cell Line, Tumor
Chromogranins
DNA Methylation
Databases, Genetic
Decitabine
Gene Expression Regulation, Neoplastic drug effects
Genome, Human
HCT116 Cells
High-Throughput Nucleotide Sequencing
Humans
Neuroblastoma pathology
Promoter Regions, Genetic
Risk Factors
Sequence Analysis, DNA
Survival Analysis
Azacitidine analogs & derivatives
Biomarkers, Tumor genetics
Epigenomics methods
GTP-Binding Protein alpha Subunits, Gs genetics
Neuroblastoma diagnosis
Neuroblastoma genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1474-760X
- Volume :
- 13
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Genome biology
- Publication Type :
- Academic Journal
- Accession number :
- 23034519
- Full Text :
- https://doi.org/10.1186/gb-2012-13-10-r95