GSTP1, APC and RASSF1 gene methylation in prostate cancer samples: comparative analysis of MS-HRM method and Infinium HumanMethylation450 BeadChip beadchiparray diagnostic value
Author(s) -
Lyubov Skorodumova,
Konstantin Babalyan,
Rinat Sultanov,
A. O. Vasiliev,
А. В. Говоров,
Pushkar' DIu,
E A Prilepskaya,
С. А. Даниленко,
Edward V. Generozov,
Andrey K. Larin,
Elena Kostryukova,
Elena I. Sharova
Publication year - 2016
Publication title -
biomeditsinskaya khimiya
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.192
H-Index - 15
eISSN - 2310-6972
pISSN - 2310-6905
DOI - 10.18097/pbmc20166206708
Subject(s) - methylation , dna methylation , high resolution melt , gstp1 , in situ hybridization , microbiology and biotechnology , biology , prostate cancer , gene , cancer , cancer research , gene expression , polymerase chain reaction , genetics , genotype
There is a clear need in molecular markers for prostate cancer (PC) risk stratification. Alteration of DNA methylation is one of processes that occur during ÐÑ progression. Methylation-sensitive PCR with high resolution melting curve analysis (MS-HRM) can be used for gene methylation analysis in routine laboratory practice. This method requires very small amounts of DNA for analysis. Numerous results have been accumulated on DNA methylation in PC samples analyzed by the Infinium HumanMethylation450 BeadChip (HM450). However, the consistency of MS-HRM results with chip hybridization results has not been examined yet. The aim of this study was to assess the consistency of results of GSTP1, APC and RASSF1 gene methylation analysis in ÐÑ biopsy samples obtained by MS-HRM and chip hybridization. The methylation levels of each gene determined by MS-HRM were statistically different in the group of PC tissue samples and the samples without signs of tumor growth. Chip hybridization data analysis confirmed the results obtained with the MS-HRM. Differences in methylation levels between tumor tissue and histologically intact tissue of each sample determined by MS-HRM and chip hybridization, were consistent with each other. Thus, we showed that the assessment of GSTP1, APC and RASSF1 gene methylation analysis using MS-HRM is suitable for the design of laboratory assays that will differentiate the PC tissue from the tissue without signs of tumor growth.
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