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Bull Exp Biol Med ; 166(2): 253-256, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30488208

ABSTRACT

The study was designed to determine genes of microRNAs hypermethylated in malignant ovarian tumors and to select new diagnostic and prognostic markers of the disease and effective system of markers. Using methyl-specific PCR and a representative sample of 54 ovarian cancer specimens, we determined 5 microRNA genes (MIR-34b/c, MIR-9-1, MIR-124-3, MIR-129-2, and MIR-107) hypermethylated in the majority of tumor samples in comparison with paired samples of histologically unchanged tissue (48-57% vs. 4-19%, p<0.001). Using ROC-analysis, we selected an effective system of 4 markers for diagnosis of ovarian cancer (MIR-9-1, MIR-124-3, MIR-129-2, and MIR-107) characterized by high sensitivity and specificity (up to 87-94% at AUC=0.92) relative to the conventional norm (54 paired samples of histologically unchanged tissue) and absolute norm (18 ovarian tissue samples from subjects who died from non-tumor diseases). It was also shown that methylation of MIR-129-2, MIR-9-1, and MIR-34b/c genes is significantly (p<0.01) correlated with the clinical stage or the presence of metastases. The results indicate that epigenetic modifications of the studied microRNA genes are involved in the pathogenesis and progression of ovarian cancer and attest to their diagnostic and prognostic potential.


Subject(s)
Biomarkers, Tumor/genetics , Gene Expression Regulation, Neoplastic , MicroRNAs/genetics , Ovarian Neoplasms/diagnosis , Adult , Biomarkers, Tumor/metabolism , CpG Islands , DNA Methylation , Disease Progression , Epigenesis, Genetic , Female , Humans , Lymphatic Metastasis , MicroRNAs/metabolism , Middle Aged , Neoplasm Staging , Ovarian Neoplasms/genetics , Ovarian Neoplasms/metabolism , Ovarian Neoplasms/pathology , Sensitivity and Specificity
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