[Functional Hypermethylation of ALDH1L1, PLCL2, and PPP2R3A in Colon Cancer].

DNA hypermethylation and mutations are key mechanisms for the downregulation of tumor suppressor genes. NotI-microarrays allowed us to detect hypermethylation and/or deletions in 180 NotI sites associated with 188 genes of human chromosome 3, in 24 paired (tumor/normal) colon samples. The most frequent aberrations (in more than 20% of tumor samples) were detected in the promoter regions of 20 genes. Expression and promoter methylation of these genes were analyzed using the data for paired colon samples from The Cancer Genome Atlas project. Three genes - ALDH1L1, PLCL2, and PPP2R3A - revealed a more than two-fold average decrease in expression and a negative correlation between mRNA level and promoter hypermethylation. The expression of these three genes was then evaluated in 30 paired colon samples by quantitative PCR. Frequent (in more than 60% of cases) and significant (5-9-fold on average) mRNA level decrease was found for each of the genes in the tumor samples. The results indicate a suppressor role of the ALDH1L1, PLCL2, and PPP2R3A genes in colon cancer, as well as functional significance of hypermethylation in the downregulation of these genes.

Expression pattern of genes associated with tumor microenvironment in prostate cancer.

AIM: To assess relative expression (RE) levels of CAF-, TAM-specific, immune defense-associated genes in prostate tumors and to show correlation of RE with clinical, pathological and molecular characteristics, with the aim to define clinically significant specific alterations in a gene expression pattern. METHODS: RE of 23 genes was analyzed by a quantitative polymerase chain reaction in 37 freshly frozen samples of prostate cancer tissues of a different Gleason score (GS) and at various tumor stages, compared with RE in 37 paired conventionally normal prostate tissue (CNT) samples and 20 samples of prostate adenomas. RESULTS: Differences in RE were shown for 11 genes out of 23 studied, when tumor samples were compared with corresponding CNTs. 7 genes, namely ACTA2, CXCL14, CTGF, THY1, FAP, CD163, CCL17 were upregulated in tumors. 4 genes, namely CCR4, NOS2A, MSMB, IL1R1 were downregulated in tumors. 14 genes demonstrated different RE in TNA at different stages: CXCL12, CXCL14, CTGF, FAP, HIF1A, THY1, CCL17, CCL22, CCR4, CD68, CD163, NOS2A, CTLA4, IL1R1. RE changes of 9 genes - CXCL12, CXCL14, HIF1A, CCR4, CCL17, NOS2A, CTLA4, IL1R1, IL2RA - were found in tumors with different GS. Moreover, 9 genes showed differences in RE in TNA, dependently on the presence or absence of the TMPRSS2/ERG fusion and 7 genes showed differences in RE of groups with differential PTEN expression. Significant correlations were calculated between RE of 9 genes in adenocarcinomas and the stage, and GS; also, between RE of 2 genes and the fusion presence; and between RE of 4 genes and PTEN expression. CONCLUSIONS: Several gene expression patterns were identified that correlated with the GS, stage and molecular characteristics of tumors, i.e. presence of the TMPRSS2/ERG fusion and alterations in PTEN expression. These expression patterns can be used for molecular profiling of prostate tumors, with the aim to develop personalized medicine approaches. However, the proposed profiling requires a more detailed analysis and a larger cohort of patients with prostate tumor.

Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion.

AIM: To analyze an expression pattern of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion; and to examine a putative correlation between gene expression and clinical characteristics, to define the molecular subtypes of prostate cancer. MATERIALS AND METHODS: The relative gene expression (RE) of 33 transcripts (27 genes) and the presence/absence of the TMPRSS2/ERG fusion were analyzed by a quantitative PCR. 37 prostate cancer tissues (T) paired with conventionally normal prostate tissue (CNT) and 21 samples of prostate adenomas were investigated. RE changes were calculated, using different protocols of statistics. RESULTS: We demonstrated differences in RE of seven genes between tumors and CNT, as was calculated, using the 2-ΔCT model and the Wilcoxon matched paired test. Five genes (ESR1, KRT18, MKI67, MMP9, PCA3) showed altered expression in adenocarcinomas, in which the TMPRSS2/ERG fusion was detected. Two genes (INSR, isoform B and HOTAIR) expressed differently in tumors without fusion. Comparison of the gene expression pattern in adenomas, CNT and adenocarcinomas demonstrated that in adenocarcinomas, bearing the TMPRSS2/ERG fusion, genes KRT18, PCA3, and SCHLAP1 expressed differently. At the same time, we detected differences in RE of AR (isoform 2), MMP9, PRLR and HOTAIR in adenocarcinomas without the TMPRSS2/ERG fusion. Two genes (ESR1 and SRD5A2) showed differences in RE in both adenocarcinoma groups. Fourteen genes, namely AR (isoforms 1 and 2), CDH1, OCLN, NKX3-1, XIAP, GCR (ins AG), INSR (isoform A), IGF1R, IGF1R tr, PRLR, PRL, VDR and SRD5A2 showed correlation between RE and tumor stage. RE of four genes (CDH2, ESR2, VDR and SRD5A2) correlated with differentiation status of tumors (Gleason score). Using the K-means clustering, we could cluster adenocarcinomas in three groups, according to gene expression profiles. A specific subtype of prostate tumors is characterized by the activated ERG signaling, due to the presence of TMPRSS2/ERG fusion, and also by high levels of the androgen receptor, prolactin, IGF, INSR and PCA3. CONCLUSIONS: We have found the specific differences in expression of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes, depending on the pre-sence/absence of the TMPRSS2/ERG fusion in prostate adenocarcinomas, CNT and adenomas. We showed three different gene expression profiles of prostate adenocarcinomas. One of them is characteristic for adenocarcinomas with the TMPRSS2/ERG fusion. Further experiments are needed to confirm these data in a larger cohort of patients.

Expression of cancer-associated genes in prostate tumors.

BACKGROUND:  Prostate cancer is one of the most common male cancers in Western countries and takes the third place in morbidity in Ukraine. It is a highly heterogeneous disease. AIM: To analyze relative expression levels of the TGFB1, IL1B, FOS, EFNA5, TAGLN, PLAU, and EPDR1 genes in malignant and non-malignant prostate tissues. MATERIALS AND METHODS:  Total RNA was isolated from 16 prostate adenomas, 37 prostate adenocarcinomas, and 29 conventionally normal prostate tissues. To analyze relative gene expression levels the quantitative real-time polymerase chain reaction was performed. RESULTS: The significant alterations in the relative expression levels were found in all analyzed sample groups for 4 genes: FOS, EFNA5, IL1B, and TGFB1. We have found that FOS and EFNA5 were more frequently overexpressed in carcinomas with Gleason score ≤ 7, compared with adenomas. On contrary, PLAU expression levels were decreased more frequently in prostate cancers, compared with conventionally normal tissues. Noteworthy, we found positive correlation between IL1B expression level and PSA (for patients with slight PSA increase, no more than 20.0 ng/ml). CONCLUSION: The EFNA5, FOS, IL1B, PLAU, and TGFB1 genes that showed significant expression alterations in prostate tumors, compared with conventionally normal prostate tissue, may play role in prostate cancer development and should be further investigated.

Genetic and epigenetic changes of NKIRAS1 gene in human renal cell carcinomas.

UNLABELLED: Renal cell carcinoma (RCC) is the most common malignant tumor of kidney associated with the worst clinical outcome. No molecular markers for RCC diagnostics and prognosis that could be applied in clinics were described yet. Large-scale screening of 3p human chromosome genes/loci in RCC and histologically normal tissues surrounding the tumors using NotI-microarray approach demonstrated that NKIRAS1 gene contained the largest percent of genetic/epigenetic changes in RCC tumor cells. AIM: To validate the results of NotI microarray analysis and study genetic, epigenetic changes, and the expression level of NKIRAS1 gene in human RCC samples. METHODS: DNA and RNA were isolated from freshly-frozen renal tumors' samples (n = 12) and from normal tissues surrounding the tumors. Epigenetic changes (methylation status) of NKIRAS1 were detected by bisulfite sequencing. Genetic changes and expression level were analyzed by Quantitative real-time PCR (qPCR) with SYBR Green. For relative quantification 2-(DeltaDeltaCP) method was used. Nonparametric tests (Wilcoxon, Kruskal - Wallis and Mann - Whitney) were applied for statistical data analysis using the BioStat software. RESULTS: NKIRAS1 expression was downregulated in 75% of RCC samples (9 of 12) compared with surrounding normal tissue. High grade tumors (3 and 4) showed lower expression of NKIRAS1 at the mRNA level than tumors of low grade (1 and 2). No significant association was found between gene expression level and gender or age. Analysis of NKIRAS1 gene copy number was performed in 19 tumor samples. Changes in the copy number of NKIRAS1 gene were observed in 64% (9 of 14) of cRCC samples. 9 samples displayed ratio (< 0.85 and >or= 0.35), thus were considered as hemizygous deletions. 3 samples showed ratio (> 0.85) and were considered as normal copy number. Changes in NKIRAS1 gene copy number were detected in all 3 benign oncocytomas, 1 papillary cancer and 1 sarcoma, where hemizygous deletion was observed. No changes in methylation status of NKIRAS1 were found in RCC. CONCLUSIONS: We have validated the results of NotI microarray analysis of NKIRAS1 gene in RCC. It was shown the decreased expression level of NKIRAS1 in this type of tumor.

Screening of epigenetic and genetic disturbances of human chromosome 3 genes in colorectal cancer.

DNA microarray technology comprising NotI-linking clones was used in a large-scale study of genetic and epigenetic changes in colorectal cancer. Analysis of samples from 24 patients revealed methylation, deletions, and amplifications in 137 of 181 NotI clones. For 27 genes/loci, these changes occurred in more than 30% of the tumor samples, suggesting that these genes are involved in the development of colorectal cancer. An analysis of the methylation status of CpG island of the ITGA9 gene/loci by bisulfite sequencing confirmed the NotI microarray data on the gene/loci methylation in colorectal cancer. Aberrations in 19 genes/loci were unknown previously. Their characterization may help ascertain the mechanisms responsible for colorectal cancer development and identify novel diagnostic and prognostic markers.