Benign prostatic hyperplasia (BPH) is the most common benign disease of the prostate gland and is caused by benign hyperplasia of the smooth muscle cells and stromal cells in this important gland. BPH is also the most common disease underlying lower urinary tract symptoms (LUTS). The incidence of BPH increases with age and affects more than half of all men 50 years or older. BPH mainly exerts effects on urinary function and can seriously reduce a patient's quality of life. At present, treatment for BPH aims primarily to improve the quality of life and reduce the risk of BPH-related complications. Pharmacological therapy is recommended for moderate-to-severe cases of LUTS that are suggestive of BPH. A range of drugs is currently available to treat this condition, including a1adrenoceptor antagonists, 5a-reductase inhibitors (5-ARIs), phosphodiesterase type 5 inhibitors (PDE5Is), muscarinic receptor antagonists (MRAs), b3-adrenoceptor agonists, and plant extracts. Of these, the most commonly used drugs in the clinic are a1adrenoceptor antagonists, 5-ARIs, and combination therapy. However, these drugs exert their effects via various mechanisms and are associated with adverse reactions. The purpose of this review is to provide current comprehensive perspectives on the mechanisms of action, efficacy, and adverse reactions associated with the drugs most commonly used for the treatment of BPH.

Purpose: Bladder cancer (BC) is the most common urinary cancer among men with a high rate of deaths despite the improved medical technology and treatment. Recent evidence demonstrated that Mex-3 RNA-Binding Family Member C (MEX3C) plays various roles in different biological activities, but its molecular mechanisms underlying the pathogenesis of BC remain unclear yet. The aim of this research was to explore the expression patterns of MEX3C and its biological functions in human BC. Materials and methods: The Cancer Genome Atlas (TCGA) and Oncomine databases were jointly used to analyze the expression of MEX3C in BC and its correlation with the clinicopathological features, while real-time PCR and immunohistochemistry analysis were used to verify the predicted results. Wound-healing assay, Matrigel invasion assay, BODIPY staining and Western blot analysis were used in a cell model to assess the effect of MEX3C on the lipid metabolism, invasion and migration of BC and its mechanisms. Results: MEX3C was highly expressed in BC tissues and cells compared with their normal counterparts, and its expression was positively correlated with the clinicopathological features, especially the invasiveness phenotype. Overexpression of MEX3C accumulated lipid droplets and promoted cell adhesion, invasion and migration. We further demonstrated that MEX3C regulated lipid metabolism and promoted tumor development and progression through activation of JNK signaling and upregulating the JNK downstream protein levels of sterol regulatory element-binding proteins-1, fatty acid synthase and acetyl-CoA carboxylase-1. Conclusion: Here we identified MEX3C as a new oncogene to promote bladder tumorigenesis by regulating lipid metabolism through Mitogen-activated protein kinase/c-Jun N-terminal kinase (MAPK/JNK) pathway. These findings suggest a new role of MEX3C in promoting BC tumorigenesis and provide a novel biomarker or molecular target for diagnosis or treating BC.

Background Better prognostic outcome is closely correlated with early detection of bladder cancer. Current non-invasive urianalysis relies on simultaneously testing multiple methylation markers to achieve relatively high accuracy. Therefore, we have developed an easy-to-use, convenient, and accurate single-target urine-based DNA methylation test for the malignancy. Methods By analyzing TCGA data, 344 candidate markers with 424 primer pairs and probe sets synthesized were systematically screened in cancer cell lines, paired tissue specimens, and urine sediments from bladder cancer patients and normal controls. The identified marker was further validated in large case-control cohorts. Wilcoxon rank sum tests and c2 tests were performed to compare methylation levels between case-control groups and correlate methylation levels with demographic and clinical characteristics. In addition, MSP, qMSP, RT-PCR, western blot analysis, and immunohistochemistry were performed to measure levels of DNA methylation, mRNA transcription, and protein expression in cancer cell lines and tissues. Results A top-performing DMRTA2 marker identified was tested in both discovery and validation sets, showing similar sensitivity and specificity for bladder cancer detection. Overall sensitivity in the aggregate set was 82.9%(179/216). The specificity, from a control group consisting of patients with lithangiuria, prostatoplasia, and prostatitis, is 92.5%(468/506). Notably, the methylation assay had the highest sensitivities for tumors at stages of T1(90.4%) and T2(95.0%) compared with Ta (63.0%), T3(81.8%), and T4(81.8%). Furthermore, the test showed admirable detection rate of 80.0%(24/30) for recurring cancers. While methylation was observed in 39/54(72.2%) urine samples from patients with carcinomas of renal pelvis and ureter, it was detected at extremely low rate of 6.0%(8/133) in kidney and prostate cancers. Compared with SV-HUC-1, the normal bladder epithelial cell line, DMRTA2 was hypermethylated in 8/9 bladder cancer cell lines, consistent with the results of MSP and qMSP, but not correlated with mRNA and protein expression levels in these cell lines. Similarly, DMRTA2 immunostaining was moderate in some tissues but weak in others. Further studies are needed to address functional implications of DMRTA2 hypermethylation. Conclusions Our data demonstrated that a single-target DNA methylation signature, mDMRTA2, could be highly effective to detect both primary and recurring bladder cancer via urine samples.

Objective: To evaluate the hemostasis and coagulation effect of Hemocoagulase Bothrops Atrox in benign prostatic hyperplasia (BPH) patients undergoing transurethral bipolar plasmakinetic prostatectomy (TUPKP). Methods: This study adopted a multicenter, prospective, and real world design. BPH patients undergoing TUPKP were divided into two groups according to whether they adopted Hemocoagulase Bothrops Atrox (group B) or not (group A) during perioperative period. The electronic clinical data on every included subject, including the international prostate symptom score (IPSS) and the quality of life scale (QoL), maximum urinary flow rate (Qmax), complete blood count, coagulation screening test and adverse events, were measured and compared between the two groups. Results: Finally, 695 patients, 443 in group A and 252 in group B were included. Baseline characteristics showed no significant difference between two groups. In group A, compared with baseline, IPSS decreased 15.66 (95% CI = −16.45 to −14.87), QoL decreased 3.08 (95% CI = −3.30 to −2.87), prothrombin time prolonged 1.02 s (95% CI = 0.56 to 1.48), while white blood cells, neutrophils, lymphocytes, and hemoglobin also significantly changed; white blood cells, neutrophils and platelets increased, while lymphocytes decreased by 0.14×109/L (95% CI = −0.21 to −0.08) before discharge. In group B, compared with baseline, IPSS decreased 16.12 (95% CI = −17.02 to −15.21), QoL decreased 3.32 (95% CI = −3.56 to −3.07), and white blood cells, neutrophils, lymphocytes, and hemoglobin were also significantly changed, along with white blood cells and lymphocytes that tested before discharge (p < 0.01); however, prothrombin time was not significant prolonged (MD= 0.48, 95% CI = −0.05 to 1.01). When compared with group A and group B, the average hospitalization time in group A was longer than group B (p < 0.01), transfusion risk was similar in the two groups (OR = 1.582, 95% CI = 0.552 to 4.538). Parameters had no substantial difference between the two subgroups whether prostate volume was more than 80 mL or not. Conclusion: Our study indicated that Hemocoagulase Bothrops Atrox can shorten the prothrombin time, hospitalization time and is probably safe among BPH patients undergoing TUPKP, exhibiting fine hemostasis and coagulation efficacy, and would not be influenced by prostate volume.

BackgroundBiochemical recurrence (BCR) is common in prostate cancer (PCa), but its prediction is based predominantly on clinicopathological characteristics with low accuracy. We intend to identify a potential prognostic biomarker related to the BCR and construct a nomogram for improving the risk stratification of PCa patients.MethodsThe transcriptome and clinical data of PCa patients were obtained from TCGA and GEO databases. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to screen out differentially expressed genes (DEGs) related to the BCR of PCa. Cox regression analysis was further applied to screen out DEGs related to BCR-free survival (BFS). Time-dependent receiver operating curve (ROC) analysis and Kaplan–Meier (K-M) survival analysis were conducted to assess the prognostic value. Then, a prognostic nomogram was established and evaluated. The clinicopathological correlation analysis, GSEA analysis, and immune analysis were used to explore the biological and clinical significance of the biomarker. Finally, the qRT-PCR, western blotting, and immunohistochemistry (IHC) were conducted to validate the expression of the biomarker.ResultsBIRC5 was identified to be the potential prognostic biomarker. The clinical correlation analysis and K-M survival analysis found that the BIRC5 mRNA expression was positively associated with disease progression and negatively associated with the BFS rate. Time-dependent ROC curves verified its accurate prediction performance. The GSEA and immune analysis suggested that the BIRC5 was related to immunity. A nomogram with an accurate prediction for BFS of PCa patients was constructed. qRT-PCR, western blotting, and IHC results validated the expression level of BIRC5 in PCa cells and tissues.ConclusionOur study identified BIRC5 as a potential prognostic biomarker related to BCR of PCa and constructed an efficacy nomogram for predicting BFS to assist clinical decision-making.