Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.

The specific regulatory mechanism of bladder urothelial barrier dysfunction after infection with uropathogenic Escherichia coli (UPEC) is still unclear. The cross talk between bladder urothelial cells and mast cells may play an important role during UPEC infection. In this study, the pyroptosis of urothelial cells was investigated after UPEC infection both in vivo and in vitro. The levels of IL-1β and IL-18 in exosomes derived from bladder urothelial cells after UPEC infection were detected. The role of these processes in the recruitment and activation of mast cells was measured. The mechanism of mast cell-induced disruption of bladder epithelial barrier function was also assessed. We found that UPEC infection induced pyroptosis of bladder urothelial cells and led to the release of IL-1β and IL-18 in the form of exosomes, which promoted the migration of mast cells. Tryptase secreted by mast cells aggravated the damage to the barrier function of the bladder urothelium by acting on protease-activated receptor 2 (PAR2). Inhibition of pyroptosis or the tryptase-PAR2 axis reduced the disruption of bladder urothelial barrier function and decreased the bacterial burden. The present study supports a novel mechanism by which pyroptosis-dependent release of exosomes from bladder urothelial cells activates mast cells and regulates bladder urothelial barrier function during UPEC infection.

Background Bladder cancer (BC) is the most common cancer of the urinary tract and invariably predicts a poor prognosis. In this study, we found a reliable gene signature and potential biomarker for predicting clinical prognosis. Methods The gene expression profiles were obtained from the GEO database. By performing GEO2R analysis, numerous differentially expressed genes (DEGs) were found. Three different microarray datasets were integrated in order to more precisely identify up-expression genes. Functional analysis revealed that these genes were mainly involved in cell cycle, DNA replication and metabolic pathways. Results Based on protein-protein interactome (PPI) networks that were identified in the current study and previous studies, we focused on KIF15 for further study. The results showed that KIF15 promotes BC cell proliferation via the MEK -ERK pathway, and Kaplan‐Meier survival analysis revealed that KIF15 expression was an independent prognostic risk factor in BC patients. Conclusion KIF15 may represent a promising prognostic biomarker and a potential therapeutic option for BC.

Aims: Cell death and inflammation are involved in the development of bladder dysfunction. Pyroptosis is programmed cell death, causing cytotoxic effects and local inflammation. As one of the biggest health threats in the world, smoking is also closely related to urinary system diseases. The aims of this study were to investigate the role of NLRP3 inflammasome-mediated pyroptosis in the bladder after cigarette smoke exposure. Methods: The expression of NLRP3 inflammasome and the activity of caspase-1 in bladder tissue was investigated after cigarette smoke exposure. In vitro, bladder urothelial cells were stimulated by cigarette smoke extract and then the activity of caspase-1 and the expression of NLRP3 inflammasome were measured. The role of oxidative stress was also assessed.

Purpose: Cannabinoids have been shown to exert analgesic and anti-inflammatory effects, and the effects of cannabinoids are mediated primarily by cannabinoid receptors 1 and 2 (CB1 and CB2). The objective of this study was to determine efficacy and mechanism of CB2 activation on cyclophosphamide (CYP)-induced cystitis in vivo. Methods: Cystitis was induced by intraperitoneal (IP) injection of CYP in female C57BL/6J mice. Mice were pretreated with CB2 agonist JWH-133 (1 mg/kg, intraperitoneally), CB2 antagonist AM-630 (1 mg/kg, intraperitoneally) or autophagy inhibitor 3-methyladenine (3-MA) (50 mM, intraperitoneally) before IP injection of CYP. Peripheral nociception and spontaneous voiding were investigated in these mice. Bladders were collected, weighed, and processed for real-time polymerase chain reaction, immunoblotting analysis, histological and immunohistochemical analysis.Results: Twenty-four hours after IP injection of CYP, the bladder of CYP-treated mice showed histological evidence of inflammation. The expression of CB2 in bladder was significantly increased in CYP-treated mice. Mechanical sensitivity was significantly increased in CYP-treated mice and CB2 agonist JWH-133 attenuated this effect (P < .05). The number of urine spots was significantly increased after CYP treatment and it was decreased in JWH-133 treated mice (P < .05). Activating CB2 with JWH-133 significantly alleviated bladder tissue inflammatory responses and oxidative stress induced by CYP. Activation of CB2 by JWH-133 increased the expression of LC3-II/LC3-I ratio, and decreased the expression of SQSTM1/p62 in the bladder of cystitis mice, whereas AM-630 induced inverse effects. Further study indicated that JWH-133 could promote autophagy and blocking autophagy by 3-MA dismissed the effort of CB2 in alleviating bladder tissue inflammatory responses and oxidative stress injury. Furthermore, treatment with 3-MA decreased the expression of p-AMPK and induced the phosphorylation of mTOR in the presence of JWH-133 stimulation in cystitis model.

Objectives Much of the information to date in terms of subtypes and function of bladder urothelial cells were derived from anatomical location or by the expression of a small number of marker genes. To have a comprehensive map of the cellular anatomy of bladder urothelial cells, we performed single‐cell RNA sequencing to thoroughly characterize mouse bladder urothelium. Materials and methods A total of 18,917 single cells from mouse bladder urothelium were analysed by unbiased single‐cell RNA sequencing. The expression of the novel cell marker was confirmed by immunofluorescence using urinary tract infection models. Results Unsupervised clustering analysis identified 8 transcriptionally distinct cell subpopulations from mouse bladder urothelial cells. We discovered a novel type of bladder urothelial cells marked by Plxna4 that may be involved with host response and wound healing. We also found a group of basal‐like cells labelled by ASPM that could be the progenitor cells of adult bladder urothelium. ASPM+ urothelial cells are significantly increased after injury by UPEC. In addition, specific transcription factors were found to be associated with urothelial cell differentiation. At the last, a number of interstitial cystitis/bladder pain syndrome–regulating genes were found differentially expressed among different urothelial cell subpopulations. Conclusions Our study provides a comprehensive characterization of bladder urothelial cells, which is fundamental to understanding the biology of bladder urothelium and associated bladder disease.

Tumor-infiltrating immune cells are closely related to the prognosis of bladder cancer. Analysis of tumor infiltrating immune cells is usually based on immunohistochemical analysis. Since many immune cell marker proteins are not specific for different immune cells, which may induce misleading or incomplete. CIBERSORT is an algorithm to estimate specific cell types in a mixed cell population using gene expression data. In this study, the CIBERSORT algorithm was used to identify the immune cell infiltration signatures. The gene expression profiles, mutation data, and clinical data were collected from The Cancer Genome Atlas (TCGA) database. Unsupervised consensus clustering was used to acquire the immune cell infiltration subtypes of bladder cancer based on the fractions of 22 immune cell types. Four immune cell clusters with different immune infiltrate and mutation characteristics were identified. In addition, this stratification has a prognostic relevance, with cluster 2 having the best outcome, cluster 1 the worst. These clusters showed distinct mRNA expression patterns. The characteristic genes in subtype cluster 1 were mainly involved in cell division, those in subtype cluster 2 were mainly related in antigen processing and presentation, those in subtype cluster 3 were mainly involved in epidermal cell differentiation, and those in subtype cluster 4 were mainly related in the humoral immune response. These differences may affect the development of the bladder cancer, the sensitivity to treatment as well as the prognosis. Through further validation, this study may contribute to the development of personalized therapy and precision medical treatments.

Clear cell renal cell carcinoma (ccRCC) is one of the most common tumors in the urinary system. Ferroptosis plays a vital role in ccRCC development and progression. We did an update of ferroptosis-related multigene expression signature for individualized prognosis prediction in patients with ccRCC. Differentially expressed ferroptosis-related genes in ccRCC and normal samples were screened using The Cancer Genome Atlas. Univariate and multivariate Cox regression analyses and machine learning methods were employed to identify optimal prognosis-related genes. CARS1, CD44, FANCD2, HMGCR, NCOA4, SLC7A11, and ACACA were selected to establish a prognostic risk score model. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that these genes were mainly enriched in immune-related pathways; single-sample Gene Set Enrichment Analysis revealed several immune cells potentially related to ferroptosis. Kaplan–Meier survival analysis demonstrated that patients with high-risk scores had significantly poor overall survival (log-rank P = 7.815 × 10–11). The ferroptosis signature was identified as an independent prognostic factor. Finally, a prognostic nomogram, including the ferroptosis signature, age, histological grade, and stage status, was constructed. Analysis of The Cancer Genome Atlas-based calibration plots, C-index, and decision curve indicated the excellent predictive performance of the nomogram. The ferroptosis-related seven-gene risk score model is useful as a prognostic biomarker and suggests therapeutic targets for ccRCC. The prognostic nomogram may assist in individualized survival prediction and improve treatment strategies.