Circulating nucleic acids are found in free form in body fluids and may serve as minimally invasive tools for cancer diagnosis and prognosis. Only a few studies have investigated the potential application of circulating mRNAs and microRNAs (miRNAs) in prostate cancer (PCa). The Cancer Genome Atlas (TCGA) database was used for an in silico analysis to identify circulating mRNA and miRNA as potential markers of PCa. A total of 2,267 genes and 49 miRNAs were differentially expressed between normal and tumor samples. The prediction analyses of target genes and integrative analysis of mRNA and miRNA expression revealed eleven genes and eight miRNAs which were validated by RT-qPCR in plasma samples from 102 untreated PCa patients and 50 cancer-free individuals. Two genes, OR51E2 and SIM2, and two miRNAs, miR-200c and miR-200b, showed significant association with PCa. Expression levels of these transcripts distinguished PCa patients from controls (67% sensitivity and 75% specificity). PCa patients and controls with prostate-specific antigen (PSA) ≤ 4.0 ng/mL were discriminated based on OR51E2 and SIM2 expression levels. The miR-200c expression showed association with Gleason score and miR-200b, with bone metastasis, bilateral tumor, and PSA > 10.0 ng/mL. The combination of circulating mRNA and miRNA was useful for the diagnosis and prognosis of PCa.

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Prostate cancer is the second cause of cancer death in Brazilian men. One of the relevant phenomena to the inherited susceptibility is the presence of allelic variants in genes involved with the DNA repair pathway. The aim of this study was to analyze the frequencies of prevalent, heterozygous and rare genotypes of the base excision repair genes APEX1 and XRCC1 in a case-control study and relate the genotypes with tumoral aggressiveness. DNA from peripheral blood of 172 patients and 172 controls were analyzed by RFLP-PCR method. The polymorphisms were also evaluated in relation to clinical and pathological parameters. The OR (Odds Ratio) and confidence interval (CI = 95%) were used in the association study and the Chi-square and ANOVA tests for the evaluation of histopathological parameters. The rare genotypes frequencies of the gene APEX1 increased the risk for the development of prostate cancer (OR = 1.68 95% CI 1.10-2.58). No association was found for the gene XRCC1 (OR = 0.82 95% CI 0.53-1.27). The combined analysis for both genes did not show association with this neoplasia (OR = 1.27 95% CI 0.79-20.5). The relationship of XRCC1 and APEX1 genotypes with cancer aggressiveness through the correlation with histopathological parameters, did not find any association. Our results suggest that the polymorphism in the gene APEX1 may be indicated as a potential marker for prostate cancer risk.

RYGBP determined profound changes in urinary composition which predisposed to a lithogenic profile. The prevalence of urinary lithiasis increased almost 70% in the postoperative period. Postoperative urinary oxalate and uric acid were the only predictors for new stone formers.

Numerous enzymes, including Cytochrome P450s (phase I) and Glutathione-S-transferases (phase II), are involved in the metabolic activation and detoxification of carcinogens. Epidemiological studies have consistently demonstrated that bladder cancer is strongly associated with cigarette smoking, and the risk for the development of this neoplasia may be modified by individual differences in carcinogen-metabolizing genes. We investigated the relationship between polymorphisms in the CYP1A1, GSTM1, GSTT1, and GSTP1 genes in a case-control study with 100 bladder cancer patients and 100 controls matched for age, gender, race, and smoking status. The GSTM1, GSTT1, CYP1A1 (A2455-->G), and GSTP1 (A313-->G) genotypes were determined using a multiplex PCR, an allele specific PCR, and a restriction fragment length polymorphism-PCR method. The present case-controlled association study did not detect any positive or negative association for the GSTM1 and GSTP1 genes [odds ratios (OR) = 1.35; 95% confidence interval (CI) = 0.76-2.41 and OR = 0.75; 95% CI = 0.41-1.38, respectively]. Notably, the genes GSTT1 and CYP1A1 exhibited a statistically significant association with bladder cancer (OR = 1.77; 95% CI = 1.01-3.12 and OR = 1.99; 95% CI = 1.07-3.73). No differences for GSTM1 and GSTP1 genotype prevalence between the bladder cancer cases and the controls were observed, however, the null genotype for the GSTT1 gene and the A/G and G/G variants of the CYP1A1 gene may contribute to the development of bladder cancer.