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Irish Health Repository > Research Articles > Journal articles & published research > Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers

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Title: Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers
Authors: Decock, Anneleen
Ongenaert, Maté
Hoebeeck, Jasmien
De Preter, Katleen
Van Peer, Gert
Van Criekinge, Wim
Ladenstein, Ruth
Schulte, Johannes H
Noguera, Rosa
Stallings, Raymond L
Van Damme, An
Laureys, Geneviève
Vermeulen, Joëlle
Van Maerken, Tom
Speleman, Frank
Vandesompele, Jo
Citation: Genome Biology. 2012 Oct 03;13(10):R95
Issue Date: 3-Oct-2012
URI: http://dx.doi.org/10.1186/gb-2012-13-10-r95
http://hdl.handle.net/10147/247115
Abstract: 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. 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. 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.
Type: Journal Article
Appears in Collections: Journal articles & published research

Please use this identifier to cite or link to this item: http://hdl.handle.net/10147/247115
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