Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma
Journal article, 2011

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.

Author

Helena Carén

University of Gothenburg

Anna Djos

University of Gothenburg

Maria Nethander

University of Gothenburg

Rose-Marie Sjöberg

University of Gothenburg

Per Kogner

Camilla Enström

Staffan Nilsson

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Tommy Martinsson

University of Gothenburg

BMC Cancer

14712407 (eISSN)

Vol. 11

Subject Categories

MEDICAL AND HEALTH SCIENCES

DOI

10.1186/1471-2407-11-66

More information

Created

10/7/2017