[A Group of New Hypermethylated Long Non-Coding RNA Genes Associated with the Development and Progression of Breast Cancer].

Breast cancer is the most common type of cancer among women. The study of the mechanisms of metastasis, the main cause of death from breast cancer, as well as the search for new markers for early diagnosis and prognosis of breast cancer, is an extremely topical issue. New perspectives in the diagnosis and treatment of breast cancer are opened by the mechanisms of gene regulation involving non-coding RNAs, in particular, long non-coding RNAs (lncRNAs). In this work, we analyzed the methylation levels of seven lncRNA genes (MEG3, SEMA3B-AS1, HAND2-AS1, KCNK15-AS1, ZNF667-AS1, MAGI2-AS3, and PLUT) by quantitative methyl-specific PCR on a set of 79 paired (tumor/normal) samples of breast cancer. Hypermethylation of all seven lncRNA genes was revealed, and hypermethylation of HAND2-AS1, KCNK15-AS1, MAGI2-AS3, and PLUT was detected in breast cancer for the first time. It was found that the level of meth ylation of the studied lncRNA genes correlated statistically significantly with the stage of the tumor process, the size of the tumor, and the presence of metastases in the lymph nodes. Thus, methylation of the seven studied lncRNA genes is associated with the development and progression of breast cancer, and these genes can be useful as potential markers in the diagnosis and prognosis of breast cancer.

DNA Methylation of a Group of Long Non-Coding RNA Genes at Different Stages of Ovarian Cancer Dissemination.

There are three types of metastases in ovarian cancer: lymphogenous, hematogenous, and peritoneal. Dissemination of the tumor in the peritoneum is directly related with the development of ascites and a poor prognosis. The purpose of this study is to determine changes in the methylation level of a group of long non-coding RNA (lncRNA) genes at different stages of ovarian cancer progression. The methylation level of 7 lncRNA genes (LINC00472, LINC00886, MAFG-DT, SNHG1, SNHG6, TP53TG1, and TUG1) was studied by quantitative methyl-specific PCR in 93 samples of ovarian tumors and 75 paired samples of histologically normal tissue, as well as in 29 peritoneal macroscopic metastases. Using the nonparametric Mann-Whitney test, a significant (p<0.001) increase in the level of methylation of the LINC00886, SNHG1, SNHG6, and TUG1 genes in the tumor tissue was shown. For the LINC00472, LINC00886, and SNHG6 genes, a significant relationship was found with the clinical stage (p≤0.001), as well as with the appearance of metastases for the LINC00472 (p<0.001) and SNHG6 (p=0.005) genes. There was a significant increase in the level of methylation of MAFG-DT and TP53TG1 (p<0.001) genes, as well as a decrease in LINC00886 (p=0.003) in peritoneal metastases relative to the primary focus. Methylation of the LINC00472 and SNHG6 genes can be considered as a factor in initiating ovarian cancer metastasis, and methylation of the LINC00886, MAFG-DT, and TP53TG1 genes as a colonization factor for metastases in the peritoneum. Thus, a relationship between methylation of a group of lncRNA genes at different stages of ovarian cancer dissemination was shown, which is important for understanding the mechanisms of these processes and for developing innovative approaches to ovarian cancer therapy.

The Role of Methylation of a Group of microRNA Genes in the Pathogenesis of Metastatic Renal Cell Carcinoma.

The role of methylation of 9 miRNA genes in the pathogenesis of metastatic clear cell renal cell carcinoma was determined by quantitative methylation-specific PCR (MS-PCR). For 5 genes (MIR125B-1, MIR137, MIR193A, MIR34B/C, and MIR375), a significant correlation of high methylation level with late (III-IV) stages, large size (T3+T4) of the tumor, and metastasis to lymph nodes and/or distant organs was revealed. For another group of genes (MIR125B-1, MIR1258, MIR193A, MIR34B/C, and MIR375), a statistically significant correlation of high methylation level with loss of differentiation in the tumor (G3-G4) was found, and the opposite pattern was found for MIR203A. A total of 7 microRNA genes (MIR125B-1, MIR1258, MIR137, MIR193A, MIR203A, MIR34B/C, and MIR375) were identified, the methylation of which is associated with the progression of metastatic clear cell renal cell carcinoma. For 6 of them (except MIR34B/C) these data were obtained for the first time. Thus, new factors of the development and progression of clear cell renal cell carcinoma were identified as potential biomarkers for the early diagnosis and prognosis of metastatic clear cell renal cell carcinoma.

Hypermethylation of Long Non-Coding RNA Genes Group in the Breast Cancer Development and Progression.

We analyzed changes in the level of methylation of CpG islands in four long non-coding RNA (lncRNA) genes MEG3, ZNF667-AS1, GAS5, and SEMA3B-AS1 as promising markers of breast cancer. Methylation analysis was performed by quantitative methylation-specific PCR on a set of 38 paired (tumor/normal) breast cancer samples. Significantly (p<0.001) increased methylation was shown for three of the four lncRNA genes: MEG3, ZNF667-AS1, and SEMA3B-AS1. We found significant correlations of the methylation level of all the studied lncRNA genes with the stage of cancer and with lymphogenic metastasis, and for MEG3 and ZNF667-AS1 also with the tumor size. Methylation of ZNF667-AS1, and SEMA3B-AS1 genes in breast cancer was detected for the first time. Based on these findings, new potential markers for the diagnosis and prognosis of breast cancer can be proposed.

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.

Optimized Marker System for Early Diagnosis of Breast Cancer.

Changes in the methylation levels of 21 microRNA genes in 91 breast cancer samples in comparison with paired samples of histologically unchanged tissue were studied by quantitative methylation-specific PCR. For 19 microRNA genes, a significant increase in the methylation level in tumors in comparison with normal tissues was shown (Mann-Whitney test). When considering the data for breast cancer samples only from patients with clinical stages I and II (59samples), 17 genes with a significantly increased level of methylation were identified. Increased methylation level for 11 genes (MIR124-1, MIR124-3, MIR125B-1, MIR127, MIR129-2, MIR132, MIR137, MIR193a, MIR34B/C, MIR375, and MIR9-1) compared to the paired norm was highly significant (p<0.001, FDR=0.01). The ROC analysis was used to optimize a set of markers for diagnosing breast cancer at the early stages consisting of 4 microRNA genes: MIR125B1, MIR127, MIR1258, and MIR132; the system is characterized by 100% specificity, 85% sensitivity, and AUC=0.924. Importantly, 100% specificity eliminates false positive results. Detection of methylation of at least one of the 4 genes of this set is sufficient to classify the patient's sample as breast cancer.

Aberrant Methylation of 21 MicroRNA Genes in Breast Cancer: Sets of Genes Associated with Progression and a System of Markers for Predicting Metastasis.

Systemic analysis of the relationship between the levels of methylation of 21 microRNA genes and the parameters of breast cancer progression was performed on a representative sample of 91 paired specimens of breast cancer and histologically normal tissues and a system of markers for prediction of metastasis was proposed. A significant association of hypermethylation of 11 genes with late (III-IV) clinical stages was found, and for 6 genes (MIR124-1, MIR127, MIR34B/C, MIR9-3, MIR1258, and MIR339) this association was highly significant (p≤0.001, FDR=0.01). For MIR9-3 and MIR339, an association with tumor size was demonstrated (p<0.001, FDR=0.01). No association of the levels of methylation of the analyzed microRNA genes with the degree of differentiation were found. An association with lymph node metastasis was established for 9 microRNA genes; the most significant association was shown for 6 genes MIR125B-1, MIR127, MIR9-3, MIR339, MIR124-3, and MIR1258 (p<0.005, FDR=0.05). Based on these 6 genes, a marker system for predicting breast cancer metastasis was developed by ROC analysis. This system is characterized by 87% sensitivity and 77% specificity (AUC=0.894). The proposed system may have clinical application in the personalized treatment of breast cancer patients.

Relationship of the Levels of microRNA Gene Methylation with the Level of Their Expression and Pathomorphological Characteristics of Breast Cancer.

We studied the relationship of the levels of microRNA group expression and methylation with clinical and pathomorphological parameters of breast cancer and its immunohistochemical status. Quantitative methylation specific PCR analysis showed a significant (p<0.001) increase in the methylation level of 4 microRNA genes (MIR127, MIR129-2, MIR132, and MIR148A) and a significant (p<0.001) decrease for gene MIR375 relative to paired histologically normal tissue. Real-time PCR analysis revealed a significant (p≤0.001) decrease in the expression of 4 microRNAs (miR-127-5p, miR-129-5p, miR-132-3p, and miR-148a-3p) and a significant (p≤0.001) increase in the expression of miR-375-3p. A significant (rs=-0.6--0.7, p≤0.001) relationship between changes in the expression level of miR-129-5p, miR-132-3p, miR-148a-3p, and miR-375-3p and the levels of methylation of the corresponding genes in breast cancer was showed by using Spearman's rank correlation test. Analysis of the samples with consideration of the pathophysiological characteristics of the tumor revealed two significant markers of tumor progression: MIR129-2/miR-129-5p and MIR375/miR-375-3p. Both factors, the increase in the level of MIR129-2 methylation (p<0.001) and a decrease in the expression level of miR-129-5p (p<0.001), are significantly associated (p<0.001) with stage III/IV and the absence of HER2 expression. For MIR375/miR-375-3p, on the contrary, an association of low methylation level and enhanced expression with increased Ki-67 level (>30%, p<0.05) was revealed. These findings are of interest for understanding the mechanisms of breast cancer development and can provide the basis for the diagnosis and prognosis of the course of this disease. Moreover, the revealed features can be useful for adjusting the course of treatment with consideration of the pathophysiological characteristics of the tumor.

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.

The Role of ESR1 Gene Polymorphic Markers in the Development of Breast Cancer and Resistance to Tamoxifen Therapy.

We studied the effect of functionally significant polymorphic markers of the ESR1 gene on the risk of breast cancer, tamoxifen resistance, and survival of patients with this type of cancer. The study included 239 primary breast cancer patients without distant metastases. The analysis of genotype frequency distribution for the studied ESR1 gene polymorphic markers showed the association of the rs2228480 and rs2234693 markers with tamoxifen resistance in the group of patients with luminal B type breast cancer. An association of these two polymorphic markers with the risk of tumor development was also revealed; for rs2234693 polymorphic marker, a relationship with the survival of patients was also showed.

[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.

[Association of polymorphisms of the TRIM21 gene with the severity of dry keratoconjunctivitis in rheumatoid arthritis and Sjogren's disease]. / Vzaimosviaz' polimorfizmov gena TRIM21 s tiazhest'iu sukhogo keratokon''iunktivita pri revmatoidnom artrite i bolezni Shegrena.

Ophthalmologic manifestation of Sjogren's disease (SD) and rheumatoid arthritis (RA) is dry keratoconjunctivitis (dry eye disease; DED). PURPOSE: To study the relationship of polymorphic markers rs7947461 (C/T), rs915956 (C/T), rs4144331 (C/A) of the TRIM21 gene with the severity of DED in patients with RA and SD. MATERIAL AND METHODS: The study included 70 patients with RA (n=27) and SD (n=43). The control group consisted of volunteers without a history of RA or SD (n=35). Alleles of the polymorphic marker C660T rs7947461 of the TRIM21 gene were identified using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method; alleles of the polymorphic marker rs915956 (C/T) and rs4144331 (C/A) of the TRIM21 gene were identified by analyzing DNA melting curves. RESULTS: An association was found between the predisposing genotype (TT) of rs7947461 polymorphic marker and the risk of developing severe DED. The AA genotype of rs4144331 polymorphic marker was found only in severe DED (c2=7.74; OR=17.46, CI95%=1.96-318.38, p=0.02). CONCLUSION: An association was established between rs7947461 (rs660) and rs4144331 and the risk of developing severe DED.