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. The results are highly significant and pairs of microRNA genes can be proposed as new potential markers for the diagnosis and prognosis of ovarian cancer metastasis.

[Identification of Novel Differentially Expressing Long Non- Coding RNAs with Oncogenic Potential].

Recently, a wealth of data have been accumulating on the role of long non-coding RNAs (lncRNAs) in the fine-tuning of mRNA expression. Four new lncRNAs, namely, TMEM92-AS1, FAM222A-AS, TXLNB, and lnc-CCL28, were identified as differentially expressed in ovarian tumors using deep machine learning. The levels of lnc-CCL28 transcripts in both tumors and normal tissue samples were sufficient for further analysis by RT-PCR. In addition, the promising ovarian cancer biomarkers, lncRNAs LINC00152, NEAT 1 and SNHG17 were added to RT-PCR analysis. For the first time, an increase in the level of lnc-CCL28 and SNHG 17 lncRNAs was found in ovarian tumors, and the overexpression of LINC00152 and NEAT1 was confirmed. It seems that lnc-CCL28 is involved in carcinogenesis and, in particular, in ovarian cancer progression. Overexpression of LINC00152 and lnc-CCL28 was significantly associated with the later stages and metastasis.

Hypermethylation of Genes in New Long Noncoding RNA in Ovarian Tumors and Metastases: A Dual Effect.

The role of methylation in the regulation of genes of long noncoding RNA (lncRNA) is still poorly understood. We revealed new hypermethylated lncRNA genes in ovarian tumors and their effect on metastasis of ovarian cancer. A multiple and significant (p<0.001) increase in methylation of a group of lncRNA genes (MEG3, SEMA3B-AS1, ZNF667-AS1, and TINCR) was shown by quantitative methylation-specific PCR using the non-parametric Mann-Whitney test. Moreover, methylation of SEMA3B-AS1, ZNF667-AS1, and TINCR genes in ovarian cancer tumors was detected for the first time. Comparative analysis of 19 samples of peritoneal metastases and paired primary tumors showed a significant decrease in the methylation level of the same 4 genes: MEG3 (p=0.004), SEMA3B-AS1 (p=0.002), TINCR (p=0.002), and ZNF667-AS1 (p<0.001). Reduced methylation of suppressor lncRNA genes in peritoneal metastases is probably associated with the involvement of these lncRNA in the regulation of plastic reversion of the epithelial-mesenchymal transition to the mesenchymal-epithelial transition. Thus, the effect of lncRNA and their methylation on the development of tumors and metastases of ovarian cancer was demonstrated, which is important for understanding of the pathogenesis and mechanisms of metastasis of ovarian cancer. New properties of lncRNA can find application in the development of new approaches in the therapy of ovarian cancer.

[Novel miRNAs as Potential Regulators of PD-1/PD-L1 Immune Checkpoint, and Prognostic Value of MIR9-1 and MIR124-2 Methylation in Ovarian Cancer].

Ovarian cancer (OC) is mostly detected at late stages weighed down with metastasis, and the five-year survival rate of patients is only 30%, which dictates the necessity to develop gentler and more selectively targeted drugs that current chemotherapeutic agents. The search for factors that can influence on the activity of the PD-1/PD-L1 immune checkpoint signaling pathway in tumors is relevant, and micro RNAs (miRNAs) play an important role in it. Over the past 5 years, only a few miRNAs (miR-34a, miR-145, and miR-424), which have a regulatory effect on the PD-1/PD-L1 system in OC patients, have been discovered. In present work, the methylation levels of 13 miRNA genes in 26 primary tumors and 19 peritoneal metastases of OC patients were determined and compared with the level of the soluble form of PD-L1 (sPD-L1) in the blood plasma of the same patients. It was shown that the methylation levels of five miRNA genes (MIR124-2, MIR34B/C, MIR9-1, MIR9-3, and MIR339) in tumors are in direct correlation with the sPD-L1 level in the blood plasma. In addition, when analyzing these five genes, a significant association of the methylation level of the MIR9-1 gene with a decrease in the three-year relapse-free survival, and a trend for decrease in the three-year survival rate with the methylation level of the MIR124-2 gene of OC patients were determined. Thus, the first data suggesting the role of inhibitors of the sPD-L1 immune checkpoint for five miRNAs (miR-124, miR-34b, miR-34c, miR-9, miR-339) and the possibility of using hypermethylated MIR9-1 and, presumably, MIR124-2 genes as independent prognostic markers of poor disease-free survival in OC patients were obtained.

[Clinical significance of methylation of a group of miRNA genes in patients with ovarian cancer.]

It was found that the proportion of microRNA genes inactivated by methylation of regulatory CpG islands is several times higher than the genes encoding proteins, which increases their attractiveness as promising markers of cancer. The aim of this work is to evaluate the clinical significance of methylation of 13 tumor-associated microRNA genes (MIR-124a-2, MIR-124a-3, MIR-125-B1, MIR-127, MIR-129-2, MIR-132, MIR-137, MIR-203a, MIR-34b/c, MIR-375, MIR-9-1, MIR-9-3, MIR-339) in 26 patients with ovarian cancer. Methylation level was evaluated by the method of methylation-specific PCR in real time. The data obtained in primary tumors (26), histologically unchanged ovarian tissues (15) and peritoneal metastases (19) were compared using a number of statistical programs. For all 13 genes, an increase in the level of methylation was revealed during the transition from unchanged tissue to primary tumors and further from primary tumors to peritoneal metastases; moreover, in the genes MIR-203a, MIR-375 and MIR-339, the level of methylation in metastases increased most significantly (in 2 and more times). A correlation was observed for the first time, showing a consistency between the increase in methylation level in some miRNA pairs, for example, MIR-129-2/MIR-132 (rs> 0,7; p<0,0001), both in primary tumors and in metastases. An analysis of microRNA gene methylation in clinical samples of ovarian cancer showed a correlation between the observed molecular changes both with the initial stages of tumor formation and with the progression and dissemination of ovarian cancer, with the presence of metastases in a large omentum and with the appearance of ascites. The revealed dependencies deepen the understanding of the mechanism of peritoneal metastasis and can be used to select new diagnostic and prognostic markers 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. The greatest association was established for 4 genes: MIR-137, MIR-193a, MIR-34b/c, and MIR-130b (p<0.01). ROC analysis revealed 3 most optimal marker systems including 4-5 miRNA genes and characterized by high sensitivity (82-94%) and specificity (76-86%) at AUC=0.89-0.92. Methylation of any three genes from these systems is sufficient to predict metastasis with the specified accuracy. Detection of the group of hypermethylated miRNA genes with predictive value for ovarian cancer metastasis is of great importance for personalized treatment of the patients.

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<0.001). 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.

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. 4-9%, p<0.01). Methylation of three genes (MIR-9-1, MIR-9-3, and MIR-130b) was significantly (p≤0.05) associated with the parameters of ovarian cancer progress (clinical stage, differentiation degree, tumor size, and presence of metastases). These findings attest to oncosuppressive role of the studied microRNA genes (MIR-9-1, MIR-9-3, MIR-107, MIR-1258, and MIR-130b) in the pathogenesis and progress of ovarian cancer and indicated their prognostic potential.