Background:We analysed critically the potential usefulness of RNA- and DNA-based biomarkers in supporting conventional histological diagnostic tests for prostate carcinoma (PCa) detection.Methods:Microarray profiling of gene expression and DNA methylation was performed on 16 benign prostatic hyperplasia (BPH) and 32 cancerous and non-cancerous prostate samples extracted by radical prostatectomy. The predictive value of the selected biomarkers was validated by qPCR-based methods using tissue samples extracted from the 58 prostates and, separately, using 227 prostate core biopsies.Results:HOXC6, AMACR and PCA3 expression showed the best discrimination between PCa and BPH. All three genes were previously reported as the most promising mRNA-based markers for distinguishing cancerous lesions from benign prostate lesions; however, none were sufficiently sensitive and specific to meet the criteria for a PCa diagnostic biomarker. By contrast, DNA methylation levels of the APC, TACC2, RARB, DGKZ and HES5 promoter regions achieved high discriminating sensitivity and specificity, with area under the curve (AUCs) reaching 0.95−1.0. Only a small overlap was detected between the DNA methylation levels of PCa-positive and PCa-negative needle biopsies, with AUCs ranging between 0.854 and 0.899.Conclusions:DNA methylation-based biomarkers reflect the prostate malignancy and might be useful in supporting clinical decisions for suspected PCa following an initial negative prostate biopsy.
BackgroundProstate cancer (PCa) and colorectal cancer (CRC) are the most commonly diagnosed cancers and cancer-related causes of death in Poland. To date, numerous single nucleotide polymorphisms (SNPs) associated with susceptibility to both cancer types have been identified, but their effect on disease risk may differ among populations.MethodsTo identify new SNPs associated with PCa and CRC in the Polish population, a genome-wide association study (GWAS) was performed using DNA sample pools on Affymetrix Genome-Wide Human SNP 6.0 arrays. A total of 135 PCa patients and 270 healthy men (PCa sub-study) and 525 patients with adenoma (AD), 630 patients with CRC and 690 controls (AD/CRC sub-study) were included in the analysis. Allele frequency distributions were compared with t-tests and χ2-tests. Only those significantly associated SNPs with a proxy SNP (p<0.001; distance of 100 kb; r2>0.7) were selected. GWAS marker selection was conducted using PLINK. The study was replicated using extended cohorts of patients and controls. The association with previously reported PCa and CRC susceptibility variants was also examined. Individual patients were genotyped using TaqMan SNP Genotyping Assays.ResultsThe GWAS selected six and 24 new candidate SNPs associated with PCa and CRC susceptibility, respectively. In the replication study, 17 of these associations were confirmed as significant in additive model of inheritance. Seven of them remained significant after correction for multiple hypothesis testing. Additionally, 17 previously reported risk variants have been identified, five of which remained significant after correction.ConclusionPooled-DNA GWAS enabled the identification of new susceptibility loci for CRC in the Polish population. Previously reported CRC and PCa predisposition variants were also identified, validating the global nature of their associations. Further independent replication studies are required to confirm significance of the newly uncovered candidate susceptibility loci.
Biopsy of the prostate is a common procedure with minor complications that are usually self-limited. However, if one considers that millions of men undergo biopsy worldwide, one realizes that although complication rate is low, the number of patients suffering from biopsy complications should not be underestimated and can be a clinically relevant problem for healthcare professionals. In this review, the authors present diagnosis and management of postbiopsy of prostate complications. Bleeding is the most common complication observed after prostate biopsy, but the use of aspirin or nonsteroidal anti-inflammatory drugs is not an absolute contraindication to prostate biopsy. Emerging resistance to ciprofloxacin is the most probable cause of the increasing risk of infectious complications after prostate biopsy. Even though extremely rare, fatal complications are possible and were described in case reports.
Background/Aims: Peritonitis is one of the complications of peritoneal dialysis. We demonstrate the systemic and intraperitoneal anti-inflammatory action of sulodexide given systemically. Methods: Dialysis was performed in male Wistar rats with acute peritonitis induced by addition of endotoxin to the fluid. Sulodexide (10 mg/kg b.w.) was used acutely as supplement to the dialysis fluid or chronically, during 7 days preceding the study by intramuscular (IM) injection. Results: In rats given IM sulodexide the dialysate cell count was lower by 45% (p < 0.001) versus untreated rats with peritonitis. Dialysate elastase activity in IM sulodexide-treated rats was lower by 22% (p < 0.05) compared to peritonitis. In rats treated with IM sulodexide the increase of plasma tumor necrosis factor-α was reduced by 53% (p < 0.002). Pretreatment with IM sulodexide reduced transperitoneal loss of total protein and albumin during peritonitis by 26% (p < 0.002) and by 16% (p < 0.05), respectively. Conclusion: Sulodexide given systemically reduces the intraperitoneal and vascular inflammatory response during acute peritonitis in rats.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.