Open AccessDNA methylation analysis with methylation‐sensitive high‐resolution melting (MS‐HRM) reveals gene panel for glioma characteristics
Author(s) -
MajchrzakCelińska Aleksandra,
Dybska Emilia,
Barciszewska AnnaMaria
Publication year - 2020
Publication title -
cns neuroscience and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 69
eISSN - 1755-5949
pISSN - 1755-5930
DOI - 10.1111/cns.13443
Subject(s) - methylation , high resolution melt , dna methylation , glioma , gene , biology , brain tumor , promoter , cancer research , microbiology and biotechnology , genetics , pathology , gene expression , medicine , polymerase chain reaction
Local DNA hypermethylation is a potential source of cancer biomarkers. While the evaluation of single gene methylation has limited value, their selected panel may provide better information. Aims This study aimed to analyze the promoter methylation level in a 7‐gene panel in brain tumors and verifies the usefulness of methylation‐sensitive high‐resolution melting (MS‐HRM) for this purpose. Methods Forty‐six glioma samples and one non‐neoplastic brain sample were analyzed by MS‐HRM in terms of SFRP1 , SFRP2 , RUNX3 , CBLN4 , INA , MGMT , and RASSF1A promoter methylation. The results were correlated with patients’ clinicopathological features. Results DNA methylation level of all analyzed genes was significantly higher in brain tumor samples as compared to non‐neoplastic brain and commercial, unmethylated DNA control. RASSF1A was the most frequently methylated gene, with statistically significant differences depending on the tumor WHO grade. Higher MGMT methylation levels were observed in females, whereas the levels of SFRP1 and INA promoter methylation significantly increased with patients’ age. A positive correlation of promoter methylation levels was observed between pairs of genes, for example, CBLN4 and INA or MGMT and RASSF1A . Conclusions Our 7‐gene panel of promoter methylation can be helpful in brain tumor diagnosis or characterization, and MS‐HRM is a suitable method for its analysis.