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.

Various LncRNA Mechanisms in Gene Regulation Involving miRNAs or RNA-Binding Proteins in Non-Small-Cell Lung Cancer: Main Signaling Pathways and Networks

Long non-coding RNAs (lncRNAs) are crucial players in the pathogenesis of non-small-cell lung cancer (NSCLC). A competing binding of lncRNAs and mRNAs with microRNAs (miRNAs) is one of the most common mechanisms of gene regulation by lncRNAs in NSCLC, which has been extensively researched in the last two decades. However, alternative mechanisms that do not depend on miRNAs have also been reported. Among them, the most intriguing mechanism is mediated by RNA-binding proteins (RBPs) such as IGF2BP1/2/3, YTHDF1, HuR, and FBL, which increase the stability of target mRNAs. IGF2BP2 and YTHDF1 may also be involved in m6A modification of lncRNAs or target mRNAs. Some lncRNAs, such as DLGAP1-AS2, MALAT1, MNX1-AS1, and SNHG12, are involved in several mechanisms depending on the target: lncRNA/miRNA/mRNA interactome and through RBP. The target protein sets selected here were then analyzed using the DAVID database to identify the pathways overrepresented by KEGG, Wikipathways, and the Reactome pathway. Using the STRING website, we assessed interactions between the target proteins and built networks. Our analysis revealed that the JAK-STAT and Hippo signaling pathways, cytokine pathways, the VEGFA-VEGFR2 pathway, mechanisms of cell cycle regulation, and neovascularization are the most relevant to the effect of lncRNA on NSCLC.

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.

Regulation of the Key Epithelial Cancer Suppressor miR-124 Function by Competing Endogenous RNAs

A decrease in the miR-124 expression was observed in various epithelial cancers. Like a classical suppressor, miR-124 can inhibit the translation of multiple oncogenic proteins. Epigenetic mechanisms play a significant role in the regulation of miR-124 expression and involve hypermethylation of the MIR-124-1/-2/-3 genes and the effects of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) according to the model of competing endogenous RNAs (ceRNAs). More than 40 interactomes (lncRNA/miR-124/mRNA) based on competition between lncRNAs and mRNAs for miR-124 binding have been identified in various epithelial cancers. LncRNAs MALAT1, NEAT1, HOXA11-AS, and XIST are the most represented in these axes. Fourteen axes (e.g., SND1-IT1/miR-124/COL4A1) are involved in EMT and/or metastasis. Moreover, eight axes (e.g., OIP5-AS1/miR-124-5p/IDH2) are involved in key pathways, such as Wnt/b-catenin, E2F1, TGF-β, SMAD, ERK/MAPK, HIF-1α, Notch, PI3K/Akt signaling, and cancer cell stemness. Additionally, 15 axes impaired patient survival and three axes reduced chemo- or radiosensitivity. To date, 14 cases of miR-124 regulation by circRNAs have been identified. Half of them involve circHIPK3, which belongs to the exonic ecircRNAs and stimulates cell proliferation, EMT, autophagy, angiogenesis, and multidrug resistance. Thus, miR-124 and its interacting partners may be considered promising targets for cancer therapy.

Dysregulation of lncRNA–miRNA–mRNA Interactome as a Marker of Metastatic Process in Ovarian Cancer

Ovarian cancer (OC) is one of the most common types of cancer among malignancies of the female reproductive system. This pathology is asymptomatic until advanced stages and has a poor prognosis. Our study aimed to search for lncRNA–miRNA–mRNA competing triplets that promote ovarian tumorigenesis. For this purpose, we analyzed tumor samples from the TCGA database and verified the results experimentally in a set of 46 paired samples of tumor and matched histologically unchanged ovarian tissues from OC patients. The list of RNAs selected in silico for experimental studies included 13 mRNAs, 10 lncRNAs, and 5 miRNAs related to epithelial–mesenchymal transition and angiogenesis. We evaluated the expression of these RNAs by qRT-PCR and assessed the correlation between levels of miRNAs, mRNAs, and lncRNAs. Sixteen significant triplets were revealed, in some of which, e.g., OIP5-AS1–miR-203a–c-MET and OIP5-AS1–miR-203a–ZEB2, both lncRNA and mRNA had sites for miR-203a direct binding. Transfection of the OVCAR-3 and SKOV-3 cell lines with the miR-203a mimic was used to confirm the novel links of miR-203a with ZEB2 and c-MET in OC. These connections suggest that the interactomes have the potential for diagnostics of metastasis at early onset.

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.

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.

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.

[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.

Long Noncoding RNA GAS5 in Breast Cancer: Epigenetic Mechanisms and Biological Functions

Long noncoding RNAs (lncRNAs) have been identified as contributors to the development and progression of cancer through various functions and mechanisms. LncRNA GAS5 is downregulated in multiple cancers and acts as a tumor suppressor in breast cancer. GAS5 interacts with various proteins (e.g., E2F1, EZH2, and YAP), DNA (e.g., the insulin receptor promoter), and various microRNAs (miRNAs). In breast cancer, GAS5 binds with miR-21, miR-222, miR-221-3p, miR-196a-5p, and miR-378a-5p that indicates the presence of several elements for miRNA binding (MREs) in GAS5. Mediated by the listed miRNAs, GAS5 is involved in the upregulation of a number of mRNAs of suppressor proteins such as PTEN, PDCD4, DKK2, FOXO1, and SUFU. Furthermore, the aberrant promoter methylation is involved in the regulation of GAS5 gene expression in triple-negative breast cancer and some other carcinomas. GAS5 can stimulate apoptosis in breast cancer via diverse pathways, including cell death receptors and mitochondrial signaling pathways. GAS5 is also a key player in the regulation of some crucial signal pathways in breast cancer, such as PI3K/AKT/mTOR, Wnt/β-catenin, and NF-κB signaling. Through epigenetic and other mechanisms, GAS5 can increase sensitivity to multiple drugs and improve prognosis. GAS5 is thus a promising target in the treatment of breast cancer patients.

[Long Non-Coding RNAs as Competitive Endogenous RNAs in Osteosarcoma]

It was more than twenty years ago that miRNAs were recognized as a new class of RNA, but the understanding of their regulatory role is just beginning to emerge. Furthermore, it was found that the function of miRNAs as "master regulators" can be controlled by other non-coding RNAs (ncRNAs), in particular, long ncRNAs (lncRNAs). The regulatory functions of lncRNAs have been indicated in tumors in various locations and, in particular, in osteosarcoma, the most common and most aggressive malignant bone disease in children during puberty. This review discusses studies about the role of lncRNAs in the regulation of gene expression by the competitive endogenous RNAs (ceRNAs) mechanism. Data from these publications confirm the involvement of lncRNAs in the major signaling pathways, such as Notch, PI3K/AKT, Wnt/β-catenin, JNK, and HIV/VEGF. For example, seven members of the SNHG family (small nucleolar RNA host gene) were shown to participate in the Notch and PI3K/AKT signaling pathways; moreover, several lncRNA/miRNA/mRNA regulatory axes were identified for nearly all members of this family. The functions of other multifunctional oncogenic lncRNAs are also discussed; in particular, six to ten such axes have been determined for TUG1, MALAT1, and XIST. Using the Gene Cards, KEGG, and Panther databases, the key signaling pathways were identified for the targets of these three multifunctional lncRNAs. Investigation of lncRNA function contributes to the development of new diagnostic and prognostic markers for the treatment of patients with osteosarcoma. According to the available data, interactions between ceRNAs, that is, miRNAs, mRNAs, and lncRNAs, represent a new form of gene expression regulation that is involved in various pathophysiological processes, including bone oncogenesis.

[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 (r_s> 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.

System of Markers Based on the Methylation of a Group of Proapoptotic Genes in Combination with MicroRNA in the Diagnosis of Breast Cancer

Systems of markers for the diagnosis of breast cancer based on DNA methylation of a group of suppressor protein-coding genes, hypermethylated microRNA genes, and their combinations were compiled. On a representative sample of 70 paired breast cancer specimens (tumor/normal), MS-PCR analysis revealed a significant increase in the methylation frequency of 5 protein-coding genes: RASSF1A suppressor and apoptosis genes APAF1, BAX, BIM/BCL2L11, and DAPK1 (34-61% vs. 4-24%) and 6 microRNA genes: MIRG124G1, MIRG125bG1, MIRG129G2, MIRG148a, MIRG34b/c, and MIRG9G3 (36-76% vs. 6-27%). ROC-analysis showed that a combination of 4 genes (APAF1, BAX, BIM/BCL2L11, and DAPK1) and MIRG125bG1 gene constitute a highly efficient 5-marker system with 100% specificity and sensitivity of 94-96% at AUC=0.98-0.97, suitable also for patients with stage I and II breast cancer. Detection of methylation of at least one gene in this system in biopsy or postoperative material is sufficient to refer the sample to breast cancer.

Marker Systems Based on MicroRNA Gene Methylation for the Diagnosis of Stage I-II Breast Cancer

Groups of microRNA genes, methylation of which is associated with the initial (I-II) stages of breast cancer, are determined, and new markers and marker systems for the disease diagnosis were created on the basis of these data. A total of 14 genes in which methylation was associated with breast cancer were identified with the use of methyl-specific PCR on a representative sample of 70 tumor specimens. Analysis of 46 specimens from patients with clinical stages I and II detected 9 genes (MIR-124-1, MIR-124-3, MIR-125b-1, MIR-129-2, MIR-132, MIR-148a, MIR-193a, MIR-34b/c, and MIR-9-3), in which methylation was associated with the initial stages of the disease. Using ROC analysis, we formed two systems including 6 markers each and detecting breast cancer at stages I-II with high sensitivity (89 and 91%) and specificity (88%) at AUC=0.92-0.93. These sets were validated on the total sample of 70 specimens including all disease stages; they showed 93 and 94% sensitivities, 88% specificity, and AUC=0.95. Highly sensitive systems of markers, based on microRNA gene methylation, were created for the diagnosis of breast cancer at stages I-II.

[Hypermethylation of miR-107, miR-130b, miR-203a, miR-1258 Genes Associated with Ovarian Cancer Development and Metastasis]

It is known that microRNAs (miRNAs) are able to dynamically regulate gene expression. At the same time, methylation can reduce expression of miRNA encoding genes and, therefore, reduce their inhibitory effects on mRNAs of target genes, including those of oncogenes, that promoting the development of tumors of different localization. The role of miRNA hypermethylation in the pathogenesis of ovarian cancer is not completely understood; so we conducted a search for new hypermethylated and potentially suppressor miRNA genes in ovarian tumors. Four new miRNA genes (MIR-107, MIR-130b, MIR-203a, MIR-1258) commonly hypermethylated (28-52%) in tumor tissues vs 4-7% in paired histologically normal tissues, p < 0.01, were identified in a representative set of 54 ovarian cancer samples using methylation-specific PCR. It was shown that hypermethylation of MIR-130b, MIR-203a, and MIR-1258 genes is significantly (p < 0.05) associated with metastasis of ovarian cancer. These results suggest the involvement of four miRNAs (miR-107, miR-130b, miR-203a, and miR-1258) and hypermethylation of their encoding genes in the pathogenesis of ovarian cancer.

[A Group of Hypermethylated miRNA Genes in Breast Cancer and Their Diagnostic Potential]

miRNA genes play an important role in cancer pathogenesis, while they may be suppressed by hypermethylation. Here, we assess the diagnostic potential of a group of hypermethylated miRNA genes (MIR-124-1, MIR-124-3, MIR-125B-1, MIR-127, MIR-132, MIR-193a, and MIR-34b/c) in a representative set of 70 breast cancer samples and 17 breast tissue samples from deceased donors with no malignancies. For these seven genes, the methylation status is determined using the methylation-specific PCR. Methylation reached 26-76% in tumor specimens, 1-27% in paired considered normal breast tissues, and 0-18% in breast tissue from deceased donors. By quantitative RT-PCR, reduced expression levels of the investigated miRNAs are detected, with a negative correlation of expression levels with gene hypermethylation. Combinations of three or four hypermethylation biomarkers, namely, MIR-124-1, MIR-125B-1, MIR-127, and MIR-34b/c are found suitable for breast cancer diagnostics; with sensitivity (76-93%), specificity (88-100%), and AUC (0.88-0.94). Notably, the MIR-127 gene was hypermethylated only in the tumor samples of patients with metastases, and, therefore, should be tested as a marker of breast cancer dissemination. These findings may lead to improvement in the management of breast cancer.

[Methylation of the genes for the microRNAs miR-129-2 and miR-9-1, changes in their expression, and activation of their potential target genes in clear cell renal cell carcinoma]

Methylation of promoter CpG islands and microRNA (miRNA) interactions with mRNAs of target genes are epigenetic mechanisms that play a crucial role in deregulation of gene expression and signaling pathways in tumors. Altered expression of six chromosome 3p genes (RARB(2), SEMA3B, RHOA, GPX1, NKIRAS1, and CHL1) and two miRNA genes (MIR-129-2 and MIR-9-1) was observed in primary clear cell renal cell carcinomas (ccRCCs, 31-48 samples) by RT-PCR and qPCR. Significant downregulation (p < 0.05, Fisher's exact test) was observed for SEMA3B, NKIRAS1, and CHL1; and differential expression, for the other chromosome 3p and miRNA genes. Methylation-specific PCR with primers to RARB(2), SEMA3B, MIR-129-2, and MIR-9-1 showed that their methylation frequency was significantly (p < 0.05, Fisher's exact test) elevated in the ccRCC samples. Significant correlations between promoter methylation and expression were confirmed for SEMA3B and observed for the first time for RARB(2), GPX1, and MIR-129-2 in ccRCC (Spearman's correlation coefficient rs ranging 0.31-0.60, p < 0.05). The MIR-129-2 and RARB(2) methylation frequencies significantly correlated with ccRCC progression. MIR-129-2 methylation correlated with upregulation of RARB(2), RHOA, NKIRAS1, and CHL1 (rs ranging 0.35-0.53, p < 0.05). The findings implicate methylation in regulating RARB(2), SEMA3B, GPX1, and MIR-129-2 and indicate that miR-129-2 and methylation of its gene affect RARB(2), RHOA, NKIRAS1, and CHL1 expression.

Molecular Mechanisms in Clear Cell Renal Cell Carcinoma: Role of miRNAs and Hypermethylated miRNA Genes in Crucial Oncogenic Pathways and Processes

Clear cell renal cell carcinoma (ccRCC) is the third most common urological cancer, and it has the highest mortality rate. The increasing drug resistance of metastatic ccRCC has resulted in the search for new biomarkers. Epigenetic regulatory mechanisms, such as genome-wide DNA methylation and inhibition of protein translation by interaction of microRNA (miRNA) with its target messenger RNA (mRNA), are deeply involved in the pathogenesis of human cancers, including ccRCC, and may be used in its diagnosis and prognosis. Here, we review oncogenic and oncosuppressive miRNAs, their putative target genes, and the crucial pathways they are involved in. The contradictory behavior of a number of miRNAs, such as suppressive and anti-metastatic miRNAs with oncogenic potential (for example, miR-99a, miR-106a, miR-125b, miR-144, miR-203, miR-378), is examined. miRNAs that contribute mostly to important pathways and processes in ccRCC, for instance, PI3K/AKT/mTOR, Wnt-β, histone modification, and chromatin remodeling, are discussed in detail. We also separately consider their participation in crucial oncogenic processes, such as hypoxia and angiogenesis, metastasis, and epithelial-mesenchymal transition (EMT). The review also considers the interactions of long non-coding RNAs (lncRNAs) and miRNAs of significance in ccRCC. Recent advances in the understanding of the role of hypermethylated miRNA genes in ccRCC and their usefulness as biomarkers are reviewed based on our own data and those available in the literature. Finally, new data and perspectives concerning the clinical applications of miRNAs in the diagnosis, prognosis, and treatment of ccRCC are discussed.

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.

Deep Sequencing Revealed a CpG Methylation Pattern Associated With ALDH1L1 Suppression in Breast Cancer

Hypermethylation of promoter CpG islands is generally recognized epigenetic mechanism responsible for gene silencing in cancer. However, molecular details on how this epigenetic mark triggers the process of gene downregulation are still elusive. Here, we used deep bisulfite sequencing and qPCR analysis to investigate the pattern of CpG methylation of ALDH1L1 promoter region and its association with the gene expression level in 16 paired breast cancer (BC) samples of different clinical stages. Expression of ALDH1L1 gene was suppressed in all examined BC samples up to 200-fold, and average hypermethylation level of the promoter region correlated positively with ALDH1L1 downregulation. We determined the role of every individual CpG site within the ALDH1L1 promoter, including upstream untranscribed region, first untranslated exon, and the start of the first intron, in aberrant gene expression by correlation analysis. The search revealed CpG sites which methylation has the highest impact on intensity of gene transcription. The majority of such CpG sites are located in a compact region in the first intron of the ALDH1L1 gene. These results assist in unraveling of dynamic nature of CpG promoter hypermethylation as well as demonstrate the efficiency of deep bisulfite sequencing in search for novel epigenetic markers in cancer.

Molecular Mechanisms of Ovarian Carcinoma Metastasis: Key Genes and Regulatory MicroRNAs

Metastasis of primary tumors progresses stepwise - from change in biochemistry, morphology, and migratory patterns of tumor cells to the emergence of receptors on their surface that facilitate directional migration to target organs followed by the formation of a specific microenvironment in a target organ that helps attachment and survival of metastatic cells. A set of specific genes and signaling pathways mediate this process under control of microRNA. The molecular mechanisms underlying biological processes associated with tumor metastasis are reviewed in this publication using ovarian cancer, which exhibits high metastatic potential, as an example. Information and data on the genes and regulatory microRNAs involved in the formation of cancer stem cells, epithelial-mesenchymal transition, reducing focal adhesion, degradation of extracellular matrix, increasing migration activity of cancer cells, formation of spheroids, apoptosis, autophagy, angiogenesis, formation of metastases, and development of ascites are presented. Clusters of microRNAs (miR-145, miR-31, miR-506, miR-101) most essential for metastasis of ovarian cancer including the families of microRNAs (miR-200, miR-214, miR-25) with dual role, which is different in different histological types of ovarian cancer, are discussed in detail in a section of the review.

[Novel miRNA genes hypermethylated in breast cancer]

MicroRNAs play an important role in the regulation of expression of many genes involved in cancer pathogenesis. One of the causes of miRNA level deregulation in tumors is the methylation of CpG islands in the promoter regions of the genes that encode them. Hypermethylation may lead to the suppression of miRNA gene expression and, as a consequence, to a decrease in their inhibitory effect on target gene mRNAs. A search for new miRNA genes hypermethylated in breast cancer has been carried out in the present study. The methylation of five miRNA genes associated with breast cancer (miR-132, miR-1258, miR-107, miR-130b, miR-137) has been as studied using a representative set of 41 breast cancer samples by methylation-specific PCR. Three new genes, MIR-132, MIR-137 and MIR-1258, with a high frequency of hypermethylation (41, 37 and 34%, respectively) have been identified in breast cancer. The methylation of these genes in the breast tissues of ten donors without cancer pathology in anamnesis was only found in single cases. These results enable the involvement of three miRNAs (miR-132, miR-137, miR-1258) and the methylation of the genes that encode them in the pathogenesis of breast cancer to be suggested.

[The hyper-methylated genes microRNA as potential markers of clear-cell carcinoma of kidney]

The clear-cell carcinoma of kidney is characterized by high rate of lethal outcomes. The lethality makes up to 16% in the first year after disease was diagnosed. The absence of efficient diagnostic at early stages (30% of all cases of clear-cell carcinoma of kidney are found out at late stages if there is metastatic disease) indicates the necessity of searching new biomarkers of clear-cell carcinoma of kidney. The disorders in methylation of regulatory genes of micro-RNA are one the causes of development of tumor. The purpose of the present study is to discover hyper-methylated genes of micro-RNA under clear-cell carcinoma of kidney and to evaluate their diagnostic and prognostic characteristics. The establishment of status of methylation of genes of micro-RNA in samples of DNA from tumor and unaltered tissue of 50 patients with clear-cell carcinoma of kidney was implemented using bisulfite conversion of DNA and subsequent methyl-specific polymerase chain reaction. The frequent hyper-methylation of seven genes of micro-RNA (miR-9-1/3, miR-124a-1/2/3, miR-34b/c, miR-129-2) in tumors of clear-cell carcinoma of kidney. Out of 7 analyzed genes of micro-RNA the systems of markers on 2-4 genes in each one were compiled. According ROC-analysis, the sensitivity of 4 markers systems reaches 88%, specificity - 94% (AUC 0.83-0.84). Furthermore, it is demonstrated that hyper-methylation of 5 genes of micro-RNA (miR-9-1/3, miR-124a-1/2/3, miR-34b/c, miR-129-2) is associated with parameters of progression of clear-cell carcinoma of kidney (stage, size of tumor, degree of differentiation, metastasis in lymph nodes on remote organs). Out of genes which hyper-methylation is associated with metastasis disease (miR-9-1/3, miR-124a-1/2/3, miR-34b/c, miR-129-2) 5 prognostic systems of markers were compiled and characterized. The hyper-methylation of gene miR-129-2 is a new efficient marker of prognosis of metastasis disease (sensitivity 75% and specificity 79%, AUC 0.77) that can be combined with markers discovered in other studies.

[Methylation in the Regulation of the Expression of Chromosome 3 and microRNA Genes in Clear-Cell Renal Cell Carcinomas]

The methylation of CpG islands in promoter regions, together with the interaction of miRNAs with the mRNAs of their target genes on the posttranscriptional level, are complex epigenetic mechanisms that perform the delicate and dynamic regulation of genes and signal transduction pathways in the cell. This review summarizes the results obtained by the authors, as well as the literature data, on the roles of methylation in regulating the protein-coding genes of chromosome 3 and a number of miRNA genes in clear-cell renal cell carcinomas. The results are based on the use of genomic NotI-microarrays (which allow the identification of both methylation and deletions in genes containing CpG islands) and on some other approaches. The application of NotI-microarray technology to the analysis of the chromosome-3 short arm, a region of frequent deletions in tumors, gave us the opportunity to identify many novel genes associated with kidney cancer pathogenesis. The relationship between alterations in the expression leyels and methylation of chromosome 3 genes, kidney cancer progression, and metastasis was shown. New microRNAs involved in kidney cancer pathogenesis were identified as well. The functions of microRNA genes methylated in kidney cancer were discussed.

Tumor Suppressor Function of the SEMA3B Gene in Human Lung and Renal Cancers

The SEMA3B gene is located in the 3p21.3 LUCA region, which is frequently affected in different types of cancer. The objective of our study was to expand our knowledge of the SEMA3B gene as a tumor suppressor and the mechanisms of its inactivation. In this study, several experimental approaches were used: tumor growth analyses and apoptosis assays in vitro and in SCID mice, expression and methylation assays and other. With the use of the small cell lung cancer cell line U2020 we confirmed the function of SEMA3B as a tumor suppressor, and showed that the suppression can be realized through the induction of apoptosis and, possibly, associated with the inhibition of angiogenesis. In addition, for the first time, high methylation frequencies have been observed in both intronic (32-39%) and promoter (44-52%) CpG-islands in 38 non-small cell lung carcinomas, including 16 squamous cell carcinomas (SCC) and 22 adenocarcinomas (ADC), and in 83 clear cell renal cell carcinomas (ccRCC). Correlations between the methylation frequencies of the promoter and the intronic CpG-islands of SEMA3B with tumor stage and grade have been revealed for SCC, ADC and ccRCC. The association between the decrease of the SEMA3B mRNA level and hypermethylation of the promoter and the intronic CpG-islands has been estimated in renal primary tumors (P < 0.01). Using qPCR, we observed on the average 10- and 14-fold decrease of the SEMA3B mRNA level in SCC and ADC, respectively, and a 4-fold decrease in ccRCC. The frequency of this effect was high in both lung (92-95%) and renal (84%) tumor samples. Moreover, we showed a clear difference (P < 0.05) of the SEMA3B relative mRNA levels in ADC with and without lymph node metastases. We conclude that aberrant expression and methylation of SEMA3B could be suggested as markers of lung and renal cancer progression.

[Novel miRNA genes methylated in lung tumors]

MicroRNAs play an important role in the regulation of expression of many genes and are involved in carcinogenesis. The regulation of miRNA gene expression can involve the methylation of promoter CpG islands. In this work, the methylation of six miRNA genes (mir-107, mir-125b-1, mir-130b, mir-137, mir-375, and mir-1258) in non-small-cell lung cancer (NSCLC) was studied for the first time by methylation-specific PCR using a representative set of specimens (39 cases). Four new genes (mir-125b-1, mir-137, mir-375, and mir-1258) methylated in primary NSCLC tumors were identified with frequencies of 56, 31, 56, and 36%, respectively. The frequencies of miRNA promoter methylation in DNA of tumors and histologically normal tissues differed significantly (P < or = 0.05 by Fisher's test). In lung tissues of 20 donors without a history of cancer, these genes were only methylated in a few cases. It was also shown that the previously unstudied promoter CpG islands of mir-107 and mir-130b were not methylated in NSCLC. The frequencies of mir-125b-1 and mir-137 methylation were shown for the first time to correlate with NSCLC progression (clinical stage and metastasis).

[Methylation profile of group of miRNA genes in clear cell renal cell carcinoma; involvement in cancer progression]

MicroRNA regulates gene expression, is involved in many cellular processes, and plays an important role in the development of cancer. The regulation of the expression of miRNA genes can be achieved by methylating their CpG islands, which is shown in different types of tumors. The methylation of miRNA genes in clear cell renal cell carcinoma (CCRCC) has mainly been studied for the miR-9 and miR-34 families. The methylation of six miRNA genes (miR-124a-2, -124a-3, -9-1, -9-3, -34b/c, -129-2) was investigated with the use of representative set of CCRCC samples (46 cases). Methylation of three genes miR-124a-2, -124a-3, and -129-2 was studied in kidney tumors for the first time. Methylation analysis was performed using methyl specific PCR. It is shown that the frequency of methylation of six genes (miR-124a-2, -124a-3, -9-1, -9-3, -34b/c and -129-2) was significantly higher in tumor samples than in samples of histologically normal tissue (P < 3 x 10(-5) by Fisher's exact test). These results suggest the properties of tumor suppressors for the six miRNA genes indicated in CCRCC. We also found correlations between the methylation frequency of some miRNA genes and signs of the progression of CCRCC (tumor size, clinical stage, loss of differentiation, and metastasis).

Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays

This study aimed to clarify genetic and epigenetic alterations that occur during lung carcinogenesis and to design perspective sets of newly identified biomarkers. The original method includes chromosome 3 specific NotI-microarrays containing 180 NotI clones associated with genes for hybridization with 40 paired normal/tumor DNA samples of primary lung tumors: 28 squamous cell carcinomas (SCC) and 12 adenocarcinomas (ADC). The NotI-microarray data were confirmed by qPCR and bisulfite sequencing analyses. Forty-four genes showed methylation and/or deletions in more than 15% of non-small cell lung cancer (NSCLC) samples. In general, SCC samples were more frequently methylated/deleted than ADC. Moreover, the SCC alterations were observed already at stage I of tumor development, whereas in ADC many genes showed tumor progression specific methylation/deletions. Among genes frequently methylated/deleted in NSCLC, only a few were already known tumor suppressor genes: RBSP3 (CTDSPL), VHL and THRB. The RPL32, LOC285205, FGD5 and other genes were previously not shown to be involved in lung carcinogenesis. Ten methylated genes, i.e., IQSEC1, RBSP3, ITGA 9, FOXP1, LRRN1, GNAI2, VHL, FGD5, ALDH1L1 and BCL6 were tested for expression by qPCR and were found downregulated in the majority of cases. Three genes (RBSP3, FBLN2 and ITGA9) demonstrated strong cell growth inhibition activity. A comprehensive statistical analysis suggested the set of 19 gene markers, ANKRD28, BHLHE40, CGGBP1, RBSP3, EPHB1, FGD5, FOXP1, GORASP1/TTC21, IQSEC1, ITGA9, LOC285375, LRRC3B, LRRN1, MITF, NKIRAS1/RPL15, TRH, UBE2E2, VHL, WNT7A, to allow early detection, tumor progression, metastases and to discriminate between SCC and ADC with sensitivity and specificity of 80-100%.

LRRC3B gene is frequently epigenetically inactivated in several epithelial malignancies and inhibits cell growth and replication

Chromosome 3 specific NotI microarrays containing 180 NotI linking clones associated with 188 genes were hybridized to NotI representation probes prepared using matched tumor/normal samples from major epithelial cancers: breast (47 pairs), lung (40 pairs) cervical (43 pairs), kidney (34 pairs of clear cell renal cell carcinoma), colon (24 pairs), ovarian (25 pairs) and prostate (18 pairs). In all tested primary tumors (compared to normal controls) methylation and/or deletions was found. For the first time we showed that the gene LRRC3B was frequently methylated and/or deleted in breast carcinoma - 32% of samples, cervical - 35%, lung - 40%, renal - 35%, ovarian - 28%, colon - 33% and prostate cancer - 44%. To check these results bisulfite sequencing using cloned PCR products with representative two breast, one cervical, two renal, two ovarian and two colon cancer samples was performed. In all cases methylation was confirmed. Expression analysis using RT-qPCR showed that LRRC3B is strongly down-regulated at the latest stages of RCC and ovarian cancers. In addition we showed that LRRC3B exhibit strong cell growth inhibiting activity (more than 95%) in colony formation experiments in vitro in KRC/Y renal cell carcinoma line. All these data suggest that LRRC3B gene could be involved in the process of carcinogenesis as a tumor suppressor gene.

Differential expression of CHL1 gene during development of major human cancers

Background

CHL1 gene (also known as CALL) on 3p26.3 encodes a one-pass trans-membrane cell adhesion molecule (CAM). Previously CAMs of this type, including L1, were shown to be involved in cancer growth and metastasis.

Methodology/Principal Findings

We used Clontech Cancer Profiling Arrays (19 different types of cancers, 395 samples) to analyze expression of the CHL1 gene. The results were further validated by RT-qPCR for breast, renal and lung cancer. Cancer Profiling Arrays revealed differential expression of the gene: down-regulation/silencing in a majority of primary tumors and up-regulation associated with invasive/metastatic growth. Frequent down-regulation (>40% of cases) was detected in 11 types of cancer (breast, kidney, rectum, colon, thyroid, stomach, skin, small intestine, bladder, vulva and pancreatic cancer) and frequent up-regulation (>40% of cases) – in 5 types (lung, ovary, uterus, liver and trachea) of cancer. Using real-time quantitative PCR (RT-qPCR) we found that CHL1 expression was decreased in 61% of breast, 60% of lung, 87% of clear cell and 89% papillary renal cancer specimens (P<0.03 for all the cases). There was a higher frequency of CHL1 mRNA decrease in lung squamous cell carcinoma compared to adenocarcinoma (81% vs. 38%, P = 0.02) without association with tumor progression.

Conclusions/Significance

Our results suggested that CHL1 is involved in the development of different human cancers. Initially, during the primary tumor growth CHL1 could act as a putative tumor suppressor and is silenced to facilitate in situ tumor growth for 11 cancer types. We also suggested that re-expression of the gene on the edge of tumor mass might promote local invasive growth and enable further metastatic spread in ovary, colon and breast cancer. Our data also supported the role of CHL1 as a potentially novel specific biomarker in the early pathogenesis of two major histological types of renal cancer.

[Two CpG-islands of SEMA3B gene: methylation in clear cell renal cell carcinoma]

Earlier in some small cell lung (SCLC) and non-small cell lung carcinoma (NSCLC) cell lines, methylation of CpG-island was found in the SEMA3B region, which belongs to the first intron according to the NCBI data base (Build 36). The aim of this work was to study methylation of two SEMA3B CpG-islands: promoter and intronic in clear cell renal cell carcinoma (RCC). Using methyl specific PCR and bisulfite sequencing, it was shown for the first time that promoter CpG-island was methylated in RCC with high frequency 56% (34/61), and intronic CpG-island - with somewhat lower frequency 35% (17/48). Significant reverse correlation was estimated between mRNA level decrease and methylation of promoter CpG-island in RCC for the first time (P < or = 0.05 by Fisher's exact test), no correlation was determined for intronic CpG-island. This result suggested that methylation of promoter CpG-island contributed into inactivation of SEMA3B gene-suppressor in RCC.

[Alteration of SEMA3B gene expression levels in epithelial tumors]

Gene expression decreasing in tumors permits to suggest tumor-suppressor activities for these genes. Thus, mRNA quantity decrease was found for SEMA3B gene in many cell lines of small cell (SCLC) and non-small cell lung carcinoma (NSCLC) and it is well-known that SEMA3B suppresses growth of the NCI-H1299 non-small cell lung carcinoma (NSCLC) cell line and tumor formation in nude mice. The aim of this work was to study spectrum of SEMA3B expression level in epithelial tumors of various locations. Using semi-quantitative RT-PCR it was shown for the first time decrease of SEMA3B mRNA quantity (10-250 times as much) in cell lines of renal, breast and ovarian tumors (4/11, 36%). SEMA3B expression profiles in primary tumors of five locations (kidney, lung, breast, ovary and colon) were studied for the first time. This analysis revealed decrease of mRNA quantity (5-1000 times as much) in clear cell renal cell carcinomas with significant high frequency: 25/51, 49% (cases with decrease of mRNA quantity) and 5/51, 10% (cases with increase), P < 0.0001 by Fisher exact test. In addition, the first data about comparatively frequent decrease of mRNA quantity in ovarian (5/16, 31% vs. 2/16, 12%) and colorectal carcinomas (6/11, 54% vs. 2/11,18%) were shown. These results permitted to suggest a possible role of SEMA3B in inhibiting of growth of renal, ovarian and colorectal cancer cells.

[Methylation of promoter region of RASSF1A gene and frequencies of allelic imbalances in chromosome 3 critical regions are correlated with progression of clear cell renal cell carcinoma]

The short arm of chromosome 3 (3p) contains several critical regions harboring the set of genes with tumor suppressor activities. The RASSF1A gene (LUCA region, 3p21.31) shows various functions which can be associated with tumorigenesis. Among 3p genes this gene can be most frequently methylated in epithelial tumors of various locations. Here two independent methods (methyl-specific PCR and methyl-sensitive restriction analysis) were used to show significant correlation of methylation level of promoter region of this gene with grade and clinical stage of clear cell renal cell carcinoma (RCC) for the first time. Analysis of 23 polymorphic markers of 3p using the representative set of samples (80 cases RCC), described clinically and histological, permitted to reveal significant correlation between frequency of allelic alterations in some critical regions of 3p (LUCA and AP20) and RCC progression, as distinct from the whole 3p. These data suggest that methylation of promoter region of the RASSF1A gene is associated with RCC progression, and besides, structure-functional alterations in other 3p genes can be also related with RCC progression. In addition, significant correlation between RASSF1A methylation events and allelic losses in the close polymorphic marker was shown here, pointing to the role of "two hit" model for this tumor-suppressor gene inactivation in RCC.

[Methylation of promoter region of RAR-beta2 gene in renal cell, breast, and ovarian carcinomas]

The protein encoded by RAR-beta (retinoic acid receptor) gene is a member of the superfamily, of nuclear receptors of retinoids which are involved in regulation of cell differentiation and proliferation. The level of RAR-beta2 mRNA is downregulated in a number of cell lines derived from human epithelial tumors. Inactivation of the RAR-beta2 gene is associated with methylation of its promoter region, which is observed in various carcinomas at a frequency of 30-70%. In renal and ovarian tumors, methylation at this region is poorly studied, the data being contradictory. We report a high methylation frequency in the gene promoter region in RCC (59%, 36/61) and a somewhat lower frequency in EOC (30%, 15/50). Methylation frequency in BC (46%, 26/56) is consistent with the published data. Significant correlation of methylation frequency in promoter region of RAR-beta2 gene with RCC progression (P < or = 0.005 by Fisher's exact test) was established.

[Human chromosome 3P regions of putative tumor-suppressor genes in renal, breast, and ovarian carcinomas]

Allelic imbalances (AI) of polymorphic markers at the short arm of chromosome 3 (3p) were mapped using DNA samples of renal cell carcinoma (RCC, 80 cases), breast carcinoma (BC, 95 cases), and epithelial ovarian cancer (EOC, 50 cases) at the same dense panel of markers (up to 24 loci). Six regions with the increased AI frequency (versus the average values determined for all the analyzed 3p markers) at RCC, BC or EOC were found in 3p chromosome. Four 3p regions presumably contain suppressor genes of tumor growth (TSG) observed in the epithelial tumors of various types. Region between D3S2409 and D3S3667 markers in the 3q21.31 region was identified in this study for the first time. The AI peak in D3S2409-D3S3667 region was statistically significant (P < 0.001, according to Fisher) when representative sample of 95 BC patients was analyzed. The data on increased frequency of polymorphic marker allele amplification suggest that the D3S2409-D3S3667 region contains both putative TSG and protooncogenes.

[Activation of RHOA gene transcription in epithelial tumors may be caused by gene amplification and/or demethylation of its promotor region]

RHOA protein, a member of small GTPases family, is implicated in cell morphogenesis, adhesion, and in cell cycle regulation. RHOA gene (3p21.31) exhibits cell transformation activity, and therefore gene is considered as a potential oncogene. The aim of this study was to investigate RHOA transcription and copy number changes in three epithelial tumors (breast, renal cell and epithelial ovarian carcinomas, 45 tumor/normal pairs altogether). EII, HhaI, AciI n Bsh1236I). Hypomethylation of the RHOA promoter region in tumor DNA was observed two times more frequently than increased methylation. Moreover, all (15) cancer cases with hypomethylation of the RHOA gene showed a 2-10 fold increased expression of RHOA. It was concluded that gene copy multiplication and demethylation of the RHOA promoter region can contribute to transcription activation of this gene in epithelial tumors.

Analysis of a new homozygous deletion in the tumor suppressor region at 3p12.3 reveals two novel intronic noncoding RNA genes

Homozygous deletions or loss of heterozygosity (LOH) at human chromosome band 3p12 are consistent features of lung and other malignancies, suggesting the presence of a tumor suppressor gene(s) (TSG) at this location. Only one gene has been cloned thus far from the overlapping region deleted in lung and breast cancer cell lines U2020, NCI H2198, and HCC38. It is DUTT1 (Deleted in U Twenty Twenty), also known as ROBO1, FLJ21882, and SAX3, according to HUGO. DUTT1, the human ortholog of the fly gene ROBO, has homology with NCAM proteins. Extensive analyses of DUTT1 in lung cancer have not revealed any mutations, suggesting that another gene(s) at this location could be of importance in lung cancer initiation and progression. Here, we report the discovery of a new, small, homozygous deletion in the small cell lung cancer (SCLC) cell line GLC20, nested in the overlapping, critical region. The deletion was delineated using several polymorphic markers and three overlapping P1 phage clones. Fiber-FISH experiments revealed the deletion was approximately 130 kb. Comparative genomic sequence analysis uncovered short sequence elements highly conserved among mammalian genomes and the chicken genome. The discovery of two EST clusters within the deleted region led to the isolation of two noncoding RNA (ncRNA) genes. These were subsequently found differentially expressed in various tumors when compared to their normal tissues. The ncRNA and other highly conserved sequence elements in the deleted region may represent miRNA targets of importance in cancer initiation or progression.

[Association of polymorphisms in SULT1A1 and UGT1A1 Genes with breast cancer risk and phenotypes in Russian women]

Estrogens are critical for breast cancer initiation and development. Sulfotransferase 1A1 (SULT1A1) and UDP-glucuronosyltransferase 1A1 (UGT1A1) conjugate and inactivate both estrogens and their metabolites, thus preventing estrogen-mediated mitosis and mutagenesis. SULT1A1 and UGT1A1 genes are both polymorphic, and different alleles encode functionally different allozymes. We hypothesize that low activity alleles SULT1A1*2 and UGT1A1*28 are associated with the higher risk for breast cancer and more severe breast tumor phenotypes. We performed a case-control study, which included 119 women of Russian ancestry with breast cancer and 121 age-matched Russian female controls. We used PCR, followed by pyrosequencing to determine SULT1A1 and UGT1A1 genotypes. Our data showed that UGT1A1*28 allele was presented at a higher frequency than the wild type UGT1A1*1 allele in breast cancer patients as compared to controls (p = 0.002, OR = 1.79, CI 1.23-2.63). Consistently, the frequency of genotypes that contain the UGT1A1*28 allele in the homozygous or heterozygous state was greater than the frequency of the wild type UGT1A1*1/*1 genotype in breast cancer patients as compared to controls (p = 0.003, OR = 4.00, CI 1.49-11.11 and p = 0.014, OR = 2.04, CI 1.14-3.57, respectively). The group of individuals, carrying the UGT1A1*28 allele in the homo- or heterozygous state also presented larger breast tumors (>2 cm) as compared to the group with high enzymatic activity genotypes p = 0.011, OR = 3.44, CI 1.42-8.36). No association was observed between any of the SULT1A1 genotypes and breast cancer risk or phenotypes. Our data suggest that UGT1A1 but not SULT1A1 genotype might be important for breast cancer risk and phenotype in Russian women.

[Methylation of the putative tumor suppressor gene, RASSF1A, in primary cervical tumors]

The methylation level of 13 CpG-dinucleotides in the promoter region of the putative tumor suppressor gene RASSF1A (3p21.31) was analyzed in HPV-positive squamous cell carcinomas of cervix using methyl-sensitive restriction endonuclease analysis followed by PCR. The methylation from 3 to 13 CpG-dinucleotides was observed in 64% (25/39) tumors, 22% (2/9) morphologically normal tissues adjacent to tumors (P = 0.0306) and in 2 from 3 leucocytes of peripheral blood of patients. The methylation of these CpG-dinucleotides was absent in DNA of healthy donor leucocytes (0/10). Methylation level of the examined fragment of the RASSF1A promoter region was significantly higher in tumors of patients with lymph node metastases in comparison to tumors of patients without metastases (P = 8.5 x 10(-12)). The methylation frequency of RASSF1A gene was in two times higher than hemi- and homozygous deletion frequency at the region of location of this gene (chromosome 3p21.31), determined earlier. These data suggest that methylation of the RASSF1A gene is one of the main ways of this gene inactivation in HPV-positive cervical squamous cell carcinomas. The methylation of the RASSF1A gene is an early event in genesis of tumor and the level of methylation increased with tumor progression.

Discovery of frequent homozygous deletions in chromosome 3p21.3 LUCA and AP20 regions in renal, lung and breast carcinomas

We searched for chromosome 3p homo- and hemizygous losses in 23 lung cancer cell lines, 53 renal cell and 22 breast carcinoma biopsies using 31 microsatellite markers located in frequently deleted 3p regions. In addition, two sequence-tagged site markers (NLJ-003 and NL3-001) located in the Alu-PCR clone 20 region (AP20) and lung cancer (LUCA) regions, respectively, were used for quantitative real-time PCR (QPCR). We found frequent (10-18%) homozygous deletions (HDs) in both 3p21.3 regions in the biopsies and lung cancer cell lines. In addition, we discovered that amplification of 3p is a very common (15-42.5%) event in these cancers and probably in other epithelial malignancies. QPCR showed that aberrations of either NLJ-003 or NL3-001 were detected in more than 90% of all studied cases. HDs were frequently detected simultaneously both in NLJ-003 or NL3-001 loci in the same tumour (P<3-10(-7)). This observation suggests that tumour suppressor genes (TSG) in these regions could have a synergistic effect. The exceptionally high frequency of chromosome aberrations in NLJ-003 and NL3-001 loci suggests that multiple TSG(s) involved in different malignancies are located very near to these markers. Precise mapping of 15 independent HDs in the LUCA region allowed us to establish the smallest HD region in 3p21.3C located between D3S1568 (CACNA2D2 gene) and D3S4604 (SEMA3F gene). This region contains 17 genes. Mapping of 19 HDs in the AP20 region resulted in the localization of the minimal region to the interval flanked by D3S1298 and D3S3623 markers. Only four genes were discovered in this interval, namely, APRG1, ITGA9, HYA22 and VILL.

[Methylation of the promoter region of the RASSF1A gene, a candidate tumor suppressor, in primary epithelial tumors]

Methylation of the promoter CpG-islands of the candidate tumor suppressor gene RASSF1A (3p21.31) was studied in primary tumors of kidney, breast and ovary (172 cases). Methylation-specific PCR (MSP) and methyl-sensitive restriction endonuclease digestion followed by PCR (MSRA) were applied. Statistically significant correlation (P << 10(-6)) was shown for the results of the MSP and MSRA, and the data of bisulfite sequencing reported earlier. The frequency of RASSF1A methylation according to MSP and MSRA was 86% (25/29) and 94% (50/53) in renal cell carcinoma (RCC) and 64% (18/28) and 78% (32/41)--in breast carcinoma (BC) samples, and 59% (17/29) and 73% (33/45) in ovarian epithelial tumors (OET), respectively. The use of several methyl-sensitive restriction enzymes (HpaII, HhaI, Bsh12361, AciI) enhanced the sensitivity of MSRA and allowed to analyze methylation status of 18 CpG-pairs in the RASSF1A CpG-island. Density of methylation of the RASSF1A CpG-island was 72% (644/900) in RCC, 63% (361/576) in BC, and 58% (346/594) in OET samples (18 CpG-pairs multiplied to the number of samples shown methylation were assumed as 100%). The RASSF1A gene methylation was also observed in samples of morphologically normal tissues adjacent to corresponding tumors (11-35%), but it was not detected in blood DNAs of healthy donors (0/15). The RASSF1A methylation frequency did not show significant correlation to tumor stage, grade and metastases (P = 0.3-1.0). The RASSF1A gene methylation was observed more frequently than other investigated aberrations--hemi- and homozygous deletions inside or around this gene. These observations are consistent with the hypothesis that the RASSF1A gene methylation is an early event in the carcinogenesis and one of the dominant ways of its inactivation.

[From identification of genomic polymorphism to diagnostic and prognostic markers of human epithelial tumors]

The review considers the results obtained by several groups in the fields of identification of polymorphic loci in the human genome, localization and analysis of genes associated with epithelial tumors of various origins, and generation of molecular markers of socially important oncological diseases. In the first two cases, work was initiated and supported by the Russian program Human Genome. To find new polymorphic loci in the human genome, di-, tri-, and tetranucleotide repeats were searched for in an ordered cosmid library of chromosome 13, NotI and cosmid clones of chromosome 3, and in brain EST. In total, nine polymorphisms and almost 200 STS were identified. Markers of NotI clones of chromosome 3 were associated with particular genes. Polymorphic loci NL1-024, NL2-007, and EST04896 were employed in analysis of deletions from chromosome 3p in tumor DNA. Deletion mapping of 3p in epithelial tumors of five types revealed six critical regions containing potential tumor suppressor genes. Of these, two were in the distal region of chromosome 3p and four, in region 3p21.3. A significant correlation was observed for the frequency of allelic deletions and the stage and the grade of tumors (P < 0.05). On the strength of these findings, genes of region 3p were associated with both tumor development and progression, and proposed as prognostic markers. Regions LUCA and AP20 (3p21.3) showed a high (90%) frequency of aberrations, including homozygous deletions in almost 20% cases. The peak of allelic deletions from region D3S2409-D3S3667 (600 kb) was statistically valid (P = 10(-3)). Regions AP20 and D3S2409-D3S3667 (3p21.3) were for the first time associated with tumorigenesis. Clusters of tumor suppressor genes were identified in regions LUCA, AP20, and D3S2409-D3S3667. Methylation of RASSF1A and RARbeta2 (3p) was associated with early carcinogenesis, and that of SEMA3B, with tumor progression. These findings are useful for early diagnostics and post-surgery prognosis of tumors.

Human chromosome 3: integration of 60 NotI clones into a physical and gene map

Sequence tagged sites generated for 60 NotI clones (NotI-STSs) from human chromosome 3-specific NotI-jumping and NotI-linking libraries were physically located using PCR screening of a radiation hybrid (RH) GeneBridge4 panel. The NotI map of chromosome 3 was generated using these RH-mapping data and those obtained earlier by FISH and sequencing of the corresponding NotI clones. The sequences of the NotI clones showed significant homologies with known genes and/or ESTs for 58 NotI-STSs (97%). These 58 NotI clones displayed 91-100% identity to 54 genes and 23 cDNA/EST clones. One known and two hypothetical protein-coding genes were localized for the first time and nine cDNA clones (unknown genes) were also carefully mapped only in this work. Three newly mapped genes are histone gene H1X (NR1-BK20C) and genes for hypothetical proteins THC1032178 and THC1024604 (NL1-243).

[New tumor suppressor genes in hot spots of human chromosome 3: new methods of identification]

Studies of the recent decade, including sequencing of numerous human genome regions, allowed a great progress in detection of new tumor suppressor genes (TSG) and development of new means of their identification and analysis. Effective methods of genome scanning and TSG identification combine DNA array techniques and subtraction hybridization. Alternative ways take advantage of new extrachromosomal vector systems (pETE, pETR) and the functional gene inactivation test. A breakthrough was made in localizing new TSG on the human chromosome 3 short arm, which harbors tumor-suppressing regions and is often rearranged in various tumors and in early carcinogenesis. On 3p, only three putative TSG were known five years ago, and at least ten were identified by the end of 2002. The role of new TSG in carcinogenesis is commonly inferred from a decrease in their transcription in tumor cell lines or primary tumors and from their ability to suppress the growth of these. Protein products of 3p TGS play an important part, constraining cell malignization. Some are directly involved in regulating the cell cycle and inducing apoptosis (RASSFIA), others suppress angiogenesis (Sema3B) or metastasis (Hyal-1). Numerous attempts to find mutations in exons of silent genes failed, and at least half of the new candidate genes (RASSFIA, CACNA2D2, BLU, HYAL1, SEMA3B, RAR-beta) proved to be inactivated by promoter methylation.

[Mapping allelic deletions on the short arm of human chromosome 3 in kidney neoplasms]

Allelic deletions along the short arm of human chromosome 3 were mapped in 57 pairs of DNA samples from tumor and normal tissue of renal carcinoma patients in order to locate potential tumor suppressor genes. Twenty highly polymorphic microsatellite markers were used for deletion mapping. Allelic deletions were found in most of the samples (91%). Extended terminal deletions (56%) prevailed over shorter internal and multiple deletions and dominated (65%) in the most aggressive histopathological kidney cancer subtype, clear-cell carcinoma. Frequency analysis of loss of heterozygosity allowed detection of the human chromosome 3 regions most essential for renal carcinomas: the region adjacent to the gene VHL (3p26-p25), the region of homozygous deletions AP20 (3p22-p21.33), and a new region between markers D3S2420 and D3S2409 (3p21.31, 2.2 Mbp).

Analysis of NotI linking clones isolated from human chromosome 3 specific libraries

We have partially sequenced more than 1000 NotI linking clones isolated from human chromosome 3-specific libraries. Of these clones, 152 were unique chromosome 3-specific clones. The clones were precisely mapped using a combination of fluorescence in situ hybridization (FISH) and hybridization to somatic cell or radiation hybrids. Two- and three-color FISH was used to order the clones that mapped to the same chromosomal region, and in some cases, chromosome jumping was used to resolve ambiguous mapping. When this NotI restriction map was compared with the yeast artificial chromosome (YAC) based chromosome 3 map, significant differences in several chromosome 3 regions were observed. A search of the EMBL nucleotide database with these sequences revealed homologies (90-100%) to more than 100 different genes or expressed sequence tags (ESTs). Many of these homologies were used to map new genes to chromosome 3. These results suggest that sequencing NotI linking clones, and sequencing CpG islands in general, may complement the EST project and aid in the discovery of all human genes by sequencing random cDNAs. This method may also yield information that cannot be obtained by the EST project alone; namely, the identification of the 5' ends of genes, including potential promoter/enhancer regions and other regulatory sequences

[Association of allele polymorphism of dopamine d2 receptors with schizophrenic and affective disorders]

DRD2 Taq polymorphism has been studied in the samples from 214 patients (119 males, 95 females, mean age 37.8 +/- 13.6) and of 96 controls (50 males, 46 females, mean age 40.7 +/- 20.0). The latter group comprised 75 unrelated controls and 21 healthy first degree relatives of schizophrenic patients. All the patients were diagnosed according to ICD-10 and have been divided into 4 groups: paranoid schizophrenics (n = 102), schizotypic patients (n = 25), patients with schizoaffective psychoses (n = 40) and affective disorders (n = 47). Taq1A DRD2 polymorphism was represented by 3 genotypes: A1A1, A1A2, A2A2 (allele A2 was a result of nucleotide substitution). The frequencies of genotypes in affected group didn't significantly differ from a control one. However, a frequency of A2A2 genotype (0.45) in a group of paranoid schizophrenics was significantly higher, than in the patients with schizoaffective psychoses (0.22) or in a control group (0.26), but was similar to that of the patients with schizotypic or affective disorders (0.4). A2A2 DRD2 genotype seems to be a potential genetic factor of susceptibility to schizophrenia.