Long Non-Coding RNAs and microRNAs Groups in the Regulation of Expression Level of a Number of Tumor-Associated Genes in Ovarian Cancer.

The search for interacting long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs of protein-coding genes through the mechanism of competing endogenous RNAs in tumors of ovarian cancer patients was carried out. The levels of expression of 24 lncRNAs, 20 miRNAs, and 28 mRNAs of protein-coding genes involved in oncogenesis were determined by real-time PCR on a set of representative samples. Correlations between lncRNAs/miRNA and miRNA/mRNA levels in ovarian cancer samples were analyzed.

Synergy between the Levels of Methylation of microRNA Gene Sets in Primary Tumors and Metastases of Ovarian Cancer Patients.

We studied the correlations between the levels of methylation of a group of 21 microRNA genes in 99 primary tumors and 29 macroscopic peritoneal metastases of ovarian cancer. Analysis of the level of methylation by quantitative methylation-specific PCR showed that co-methylation was detected for 13 pairs of microRNA genes in primary tumors and for 22 pairs in metastases. Pairs of microRNA genes that have shown significant co-methylation can be involved in common processes and pathways of gene regulation and interaction and can have common target genes.

Soluble B7-H3 in Ovarian Cancer and Its Predictive Value.

The content of the soluble form of protein of the key point of immunity B7-H3 (sB7-H3) in the blood plasma of 75 patients with epithelial ovarian cancer before treatment was measured by ELISA. It is known that B7-H3 belongs to the immunoglobulin superfamily (B7 molecule family) and is involved in the regulation of the immune response mediated by T cells. The sB7-H3 concentration correlated with the clinical and morphological parameters of ovarian cancer.

Hypermethylated Genes of MicroRNA in Ovarian Carcinoma: Metastasis Prediction Marker Systems.

We identified a group of miRNA genes whose methylation is associated with ovarian cancer metastasis. Based on these data, new markers and the systems of markers predicting tumor dissemination were selected. Using methylation-specific PCR and a representative set of 54 ovarian cancer samples, we identified 10 microRNA genes (MIR-124a-2, MIR-127, MIR-125b-1, MIR-129-2, MIR-137, MIR-193a, MIR-203a, MIR-34b/c, MIR-130b, and MIR-1258) whose methylation is associated with tumor metastasis.

Diagnostic Value of a Group of MicroRNA Genes Hypermethylated in Ovarian Carcinoma.

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.

Expression of microRNA Potentially Regulated by AhR and CAR in Malignant Tumors of the Endometrium.

We studied microRNA whose expression can be regulated by carcinogenic compounds. Bioinformatic analysis has detected microRNA potentially regulated by xenosensor receptors AhR (miR-28, miR-30c, miR-30e, miR-139, and miR-153) and CAR (miR-29c, miR-31, miR-185, miR-625, and miR-652). Published data indicate that these microRNAs are oncosuppressors, except miR-31 that can act as an oncogene.

Five Hypermethylated MicroRNA Genes as Potential Markers of Ovarian Cancer.

MicroRNA and methylation are important epigenetic mechanisms in the pathogenesis of cancer. The role of a group of microRNA hypermethylated genes in the pathogenesis of ovarian cancer was studied and their diagnostic and prognostic potential was evaluated. Studies on a representative sample of 54 ovarian cancer specimens with the use of methyl-specific PCR resulted in detection of five microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) methylated in the majority of tumor specimens in comparison with paired specimens of histologically intact tissue (37-57% vs.