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.

Association of Molecular Genetic Markers of TP53, MDM2, and CDKN1A Genes with Progression-Free Survival of Patients with Ovarian Cancer after Platinum-Based Chemotherapy.

We studied the association of polymorphic markers of cell cycle control genes (Arg72Pro of the TP53 gene, T(-410)G of the MDM2 gene, and Ser31Arg of the CDKN1A gene) in ovarian cancer and progression-free survival following platinum-based chemotherapy. Tumor tissue samples obtained from 49 patients who had undergone chemotherapy were examined. Patients received standard platinum-based chemotherapy and were observed until disease progression. Polymorphic markers of genes were evaluated by PCR-RFLP and real-time PCR. In patients carrying the G allele of the T(-410)G marker of the MDM2 gene, a decreasing trend was observed in median progression-free survival. An increase in the median progression-free survival was observed in carriers of the Pro allele of the TP53 gene (p=0.045). Furthermore, a stronger association was noted with carriers of the minor Pro/Pro homozygous genotype relative to the Arg/Arg genotype (p=0.007). In the subgroup of patients who underwent optimal or complete cytoreductive surgery, carriage of the minor Arg allele of the Ser31Arg marker (CDN1A gene) was associated with a decrease in the median progression-free survival time (p=0.004).

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.

[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.

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.

[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.

[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.

[Determination of EGFR gene somatic mutations in tissues and plasma of patients with advanced non-small cell lung cancer]. / Opredelenie somaticheskikh mutatsii v gene EGFR v tkaniakh i plazme bol'nykh nemelkokletochnym rakom legkogo.

The presence of activating mutations in the EGFR gene influences cell proliferation, angiogenesis, and increases metastatic ability; it has a significant impact on the choice of medical therapy of non-small cell lung cancer (NSCLC). The use of targeted therapy with tyrosine kinase inhibitors requires performance of appropriate genetic tests. The aim of this study was to design a real-time PCR-based diagnostic kit for fast and cheap of EGFR mutations testing in paraffin blocks and plasma, and kit validation using samples from patients with NSCLC, and also comparative estimation of diagnostic features of real-time PCR with wild type blocking and digital PCR for mutation testing in blood plasma. The study included 156 patients with various types of adenocarcinoma differentiation. It was designed a simple and efficient real-time PCR-based method of detecting L858R activating mutation and del19 deletion in the EGFR gene for DNA isolated from paraffin blocks. Kit for EGFR mutations was validated using 411 samples of paraffin blocks. The proposed system showed high efficiency for DNA testing from paraffin blocks: a concordance with results of testing with therascreen® EGFR RGQ PCR Kit ("Qiagen", Germany) was 100%. It has been shown the possibility of using this test system for the detection of mutations in plasma.

[The analysis of association between type 2 diabetes and polymorphic markers in the CDKAL1 gene and in the HHEX/IDE locus].

The increase in diabetes was noted at the turn of the 21st century. Patients with type 2 diabetes (T2DM) make up the majority of patients. Diabetes is a multifactorial disease. It arises from adverse effects of environmental factors on the body of genetically susceptible peoples. According to modern concepts, T2DM is a polygenic disease. Each of the involved genes contributes to the risk of developing of this disease. In our study, the association between polymorphic genetic markers rs7756992, rs9465871, rs7754840, and rs10946398 in the CDKAL1 gene and rs1111875 in the HHEX/IDE locus and T2DM in the Russian population were studied. Four hundred forty patients with type 2 diabetes and 264 healthy individuals without any signs of the disease were examined. The comparative analysis of distribution of genotypes and allele frequencies points to an association between polymorphic genetic markers rs7756992, rs9465871, and rs10946398 in the CDKAL1 gene and this disease. For the other polymorphic genetic markers (rs7754840 in the CDKAL1 gene and rs1111875 in the HHEX/IDE locus), no statistically significant associations are found. On the basis of these data, we can conclude that the CDKAL1 gene is associated with development of T2DM. For the HHEX/IDE locus, such an association is absent.

[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.

Upregulation of RHOA and NKIRAS1 genes in lung tumors is associated with loss of their methylation as well as with methylation of regulatory miRNA genes.

Methylation of CpG-islands in promoter regions as well as interaction of miRNAs with messenger RNAs of target genes are related to multilayer mechanisms regulating gene expression. The goal of this study was to assess a possibility for miRNA gene methylation to influence indirectly activation of their target genes in lung tumors. By using a unified collection of samples of non-small cell lung cancer, it was demonstrated that elevated levels of mRNA for RHOA and NKIRAS1 genes were significantly (Spearman rank correlation, P < 10(-11)) associated both with loss of methylation in their CpG-islands and methylation in a number of miRNA genes, which, according to the miRWalk database, were predicted to possess regulatory functions. Novel potential regulatory miRNAs for RHOA (miR-9-1/-3, -34b/c, -129-2, -125b-1, -375, -1258) and NKIRAS1 (miR-34b/c, -129-2, -125b-1, -193a, -124a-1/-2/-3, -212, -132) genes in lung cancer were identified.

[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 of some miRNA genes is involved in the regulation of their target genes RAR-beta2 and NKIRAS1 expression in lung cancer].

To date, there are more than two thousand human miRNAs, each of them may be involved in the regulation of hundreds of protein coding target genes. Methylation of CpG-islands, in turn, affects miRNAs gene expression. Our aim was to evaluate the role of methylation in the regulation of miRNA gene expression and, consequently, in the regulation of expression of target genes in primary lung tumors. Using a common collection of non-small cell lung cancer samples we performed a comprehensive study, including analysis of the methylation status and expression levels of some miRNA genes and their potential target genes on chromosome 3: RAR-beta2 and NKIRAS1. Increased frequency of methylation in lung tumors compared to histologically normal tissue was revealed for miR-9-1 and miR-34b/c genes with significant statistics (P < or = 0.05 by Fisher exact test) and for miR-9-3 and miR-193a was marginally significant (P < or = 0.1). Significant correlation was revealed between alterations of methylation and expression level of miR-9-1 gene (P = 5 x 10(-12) by Spearman) in the lung tumors, this suggests the role of methylation in the regulation of expression of this miRNA genes. Besides, a statistically significant negative correlation (P = 3 x 10(-12)-5 x 10(-13) by Spearman) was found between alterations of expression levels of miR-9-1 and miR-17and RAR-beta2 target gene and also between expression level alterations of miR-17 and NKIRAS1 that was not previously analyzed. The inverse relationship between expression levels of miRNA genes and their target genes is consistent with the known mechanism of suppression of protein coding genes expression under the action of miRNAs. For the first time significant correlations (P = 3 x 10(-10)-4 x 10(-13) by Spearman) were shown between alterations of methylation status of miRNA genes (miR-9-1, miR-9-3, miR-34b/c, miR-193a) and the expression level of RAR-beta2 target gene and between alterations of methylation status of miR-34b/c, and miR-193a and the expression level of NKIRAS1 target gene in the primary lung tumors, which suggests the possibility of indirect effects of methylation of miRNA genes on expression level of target genes.

[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.

[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.

[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.

[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.