AI Article Synopsis

  • The study focuses on improving risk assessment for neuroblastoma patients by identifying DNA methylation biomarkers that could predict outcomes.
  • Two advanced techniques were used to analyze the methylation patterns in neuroblastoma cell lines and primary tumors, leading to the identification of 43 potential biomarkers.
  • Among the identified biomarkers, specific genes like HIST1H3C and GNAS showed strong associations with patient survival rates, suggesting their potential role in developing a new prognostic classification system for neuroblastoma.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491423PMC
http://dx.doi.org/10.1186/gb-2012-13-10-r95DOI Listing

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