Observational study of in-hospital mortality risk from bladder cancer: Five years of experience at a tertiary referral hospital in Indonesia.

Bladder cancer (BC) is a neoplasm arising from the bladder. It requires appropriate management and its prognosis depends on many factors. This study aimed to analyze the factors that influence outcomes in BC management. This was a retrospective study. Data were collected at one of Indonesia's largest tertiary referral hospitals. All patients diagnosed with BC from January 2019 to December 2023 were included. The outcome measured was survival or death. Statistical analysis was conducted using SPSS version 26.0 software. The study included 219 patients with a median age of 57.97 years, of which 99 (45.2 %) patients died. In a bivariate analysis, sex, active smoking status, Karnofsky score, metastasis status, chronic kidney disease, type 2 diabetes mellitus, chemotherapy, radiotherapy, and alternative medicine were found to affect mortality status. Based on multivariate analysis, the route of admission (odds ratio [OR] 0.19), irregular visit (OR 6.21), metastasis (OR 3.58), radiotherapy (OR 21.12), and traditional medicine (OR 0.21) were independent factors of in-hospital mortality. The mortality rate for BC was considerably high. Irregular visits, metastasis, type 2 diabetes, and radiotherapy were independent risk factors for mortality.

Treatment Options for Signet Ring Cell Carcinoma of the Urinary Bladder: A Population-Based Study.

OBJECTIVES: Signet ring cell carcinoma (SRCC) of the urinary bladder is a rare and highly aggressive form of bladder cancer, with no widely agreed-upon treatment strategy. The aim of this study was to identify important factors influencing patient prognosis and to assess how various treatment approaches affect survival outcomes. METHODS: A retrospective study was conducted using data from the Surveillance, Epidemiology, and End Results (SEER) Program, including patients with bladder primary SRCC who were presented between 2000 and 2017. Univariate and multivariate Cox regression models were used to examine the impact of various factors on cancer-specific survival (CSS) and overall survival (OS). Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were applied to homogenize both groups. The impact of different treatment regimens on patient CSS and OS was analyzed using the Kaplan-Meier method. RESULTS: A total of 33 cases of non-muscular invasive SRCC and 210 cases of muscular invasive SRCC were included in this study. Multivariate analysis identified race, TNM stage, and surgical method as independent variables influencing both OS and CSS. In non-muscle invasive bladder SRCC patients, radical cystectomy showed no CSS benefit compared to transurethral resection of bladder tumors (P = 0.304). For muscle invasive SRCC, patients who underwent partial cystectomy had better OS and CSS compared to those who underwent radical cystectomy (P = 0.019, P = 0.024). However, after conducting a PSM analysis, the differences between the two surgical outcomes were not statistically significant (P = 0.504, P = 0.335). Lymphadenectomy, chemotherapy, and radiation did not show any benefit to the prognosis of patients. CONCLUSION: This study identified race, TNM stage, and surgical approach as significant independent predictors for SRCC outcomes. Simple radical cystectomy and partial cystectomy proved to be effective treatments for SRCC. The optimal treatment option still needs to be supported by a number of prospective research trials.

Multiple omics integrative analysis identifies GARS1 as a novel prognostic and immunological biomarker: from pan-cancer to bladder cancer.

Glycyl-tRNA synthetase (GARS1) is differentially expressed across cancers. In this study, the value of GARS1 in the diagnosis and prognosis of various cancers was comprehensively evaluated by multiple omics integrative pan-cancer analysis and experimental verification. Through Kaplan-Meier, ROC and multiple databases, we explored GARS1 expression and prognostic and diagnostic patterns across cancers. The GARS1 relative reaction network was identified in PPI, GO, KEGG, methylation models and the genetic mutation atlas. Further research on the GARS1 value in bladder urothelial carcinoma (BLCA) was conducted by regression and nomogram models. We further analyzed the correlation between GARS1 and immune markers and cells in BLCA. Finally, in vitro experiments were used to validate GARS1 the oncogenic function of GARS1 in BLCA. We found that GARS1 was highly expressed across cancers, especially in BLCA. GARS1 expression was correlated with poor survival and had high diagnostic value in most tumor types. GARS1 is significantly associated with tRNA-related pathways whose mutation sites are mainly located on tRNA synthetase. In addition, Upregulation of GARS1 was connected with immune cell infiltration and five key MMR genes. M2 macrophages, TAMs, Th1 and T-cell exhaustion, and marker sets associated with GARS1 expression indicated specific immune infiltration in BLCA. Finally, in vitro experiments validated that GARS1 expression promotes BLCA cell proliferation and metastasis and inhibits apoptosis. Overall, GARS1 can be a novel prognostic and immunological biomarker through multiple omics integrative pan-cancer analysis. The expression of GARS1 in BLCA was positively correlated with specific immune infiltration, indicating that GARS1 might be related to the tumor immune microenvironment.

The clinical significance and anti-tumor role of PRKG1 in bladder cancer.

Introduction: cGMP-dependent protein kinase 1 (PRKG1) has shown to be associated with some tumorigenesis, while the role of PRKG1 in bladder cancer is unclear. Methods: To investigate the biological and clinical significance of PRKG1 in bladder cancer, we detected the expression of PRKG1 and explored the function of PRKG1 in bladder cancer cells. The PRKG1 transcripts data was downloaded from The Cancer Genome Atlas (TCGA) database, and immunohistochemistry staining was conducted on formalin-fixed paraffin-embedded (FFPE) sample tissues. Relationship between clinical characteristics of patients and expression of PRKG1 was analyzed in FFPE samples, TCGA database, and GSE19423 dataset. PRKG1 was over-expressed, and cell proliferation, migration, invasion, apoptosis, and spheroidizing ability were then detected. Chemosensitivity to cisplatin was detected with cell viability, and half-maximal drug inhibitory concentration (IC50) was calculated. In addition, the relation between PRKG1 expression and the infiltration level of tumor immune cells in tumor microenvironment were analyzed. Results: The results showed expression of PRKG1 was lower in bladder cancer, compared with normal tissues both at protein and transcript levels. Lower PRKG1 expression was related to higher tumor grade, T stage, and muscle invasion, also predicted worse overall survival and recurrence free survival in patients treated with Bacillus Calmette-Guerin (BCG) intravesical immunotherapy. Analysis of tumor immune cells infiltration showed lower PRKG1 was associated with non-inflamed tumor microenvironment. Conclusion: The present study firstly identified the anti-tumor role and tumor immune regulatory role of PRKG1, also found loss of PRKG1 could be used as a prognosis factor. The present study provided a potential biomarker and therapy target to bladder cancer.

Advancing bladder cancer management: development of a prognostic model and personalized therapy.

Background: Bladder cancer (BLCA) was recognized as a significant public health challenge due to its high incidence and mortality rates. The influence of molecular subtypes on treatment outcomes was well-acknowledged, necessitating further exploration of their characterization and application. This study was aimed at enhancing the understanding of BLCA by mapping its molecular heterogeneity and developing a robust prognostic model using single-cell and bulk RNA sequencing data. Additionally, immunological characteristics and personalized treatment strategies were investigated through the risk score. Methods: Single-cell RNA sequencing (scRNA-seq) data from GSE135337 and bulk RNA-seq data from several sources, including GSE13507, GSE31684, GSE32894, GSE69795, and TCGA-BLCA, were utilized. Molecular subtypes, particularly the basal-squamous (Ba/Sq) subtype associated with poor prognosis, were identified. A prognostic model was constructed using LASSO and Cox regression analyses focused on genes linked with the Ba/Sq subtype. this model was validated across internal and external datasets to ensure predictive accuracy. High- and low-risk groups based on the risk score derived from TCGA-BLCA data were analyzed to examine their immune-related molecular profiles and treatment responses. Results: Six molecular subtypes were identified, with the Ba/Sq subtype being consistently associated with poor prognosis. The prognostic model, based on basal-squamous subtype-related genes (BSSRGs), was shown to have strong predictive performance across diverse clinical settings with AUC values at 1, 3, and 5 years indicating robust predictability in training, testing, and entire datasets. Analysis of the different risk groups revealed distinct immune infiltration and microenvironments. Generally higher tumor mutation burden (TMB) scores and lower tumor immune dysfunction and exclusion (TIDE) scores were exhibited by the low-risk group, suggesting varied potentials for systemic drug response between the groups. Finally, significant differences in potential systemic drug response rates were also observed between risk groups. Conclusions: The study introduced and validated a new prognostic model for BLCA based on BSSRGs, which was proven effective in prognosis prediction. The potential for personalized therapy, optimized by patient stratification and immune profiling, was highlighted by our risk score, aiming to improve treatment efficacy. This approach was promised to offer significant advancements in managing BLCA, tailoring treatments based on detailed molecular and immunological insights.

Monopolar versus bipolar transurethral resection of bladder Tumour: post-hoc analysis of a prospective trial.

INTRODUCTION: Previously, in a randomised trial we demonstrated bipolar transurethral resection of bladder tumor (TURBT) could achieve a higher detrusor sampling rate than monopolar TURBT. We hereby report the long-term oncological outcomes following study intervention. METHODS: This is a post-hoc analysis of a randomized phase III trial comparing monopolar and bipolar TURBT. Only patients with pathology of non-muscle invasive bladder cancer (NMIBC) were included in the analysis. Per-patient analysis was performed. Primary outcome was recurrence-free survival (RFS). Secondary outcomes included progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). RESULTS: From the initial trial, 160 cases were randomised to receive monopolar or bipolar TURBT. 24 cases of non-urothelial carcinoma, 22 cases of muscle-invasive bladder cancer, and 9 cases of recurrences were excluded. A total of 97 patients were included in the analysis, with 46 in the monopolar and 51 in the bipolar group. The median follow-up was 97.1 months. Loss-to-follow-up rate was 7.2%. Regarding the primary outcome of RFS, there was no significant difference (HR = 0.731; 95%CI = 0.433-1.236; P = 0.242) between the two groups. PFS (HR = 1.014; 95%CI = 0.511-2.012; P = 0.969), CSS (HR = 0.718; 95%CI = 0.219-2.352; P = 0.584) and OS (HR = 1.135; 95%CI = 0.564-2.283; P = 0.722) were also similar between the two groups. Multifocal tumours were the only factor that was associated with worse RFS. CONCLUSION: Despite the superiority in detrusor sampling rate, bipolar TURBT was unable to confer long-term oncological benefits over monopolar TURBT.

Impact of intra-tumoral immunity on predicting response and survival after neoadjuvant cisplatin-based chemotherapy in patients with muscle invasive bladder cancer.

BACKGROUND: Neoadjuvant cisplatin-based chemotherapy (NAC) followed by cystectomy is the standard of care for patients with muscle-invasive bladder cancer (MIBC). Pathologic complete response (pCR) is associated with favorable outcomes, but only 30%-40% of patients achieve that response. The aim of this study is to investigate the role played by the Tumor and Immune Microenvironment (TIME) in association with the clinical outcome of patients with MIBC undergoing NAC. METHODS: Nineteen patients received NAC and were classified as pCR (n = 10) or non-pCR (n = 9). Bulk RNA-seq and immune protein evaluations using Digital Spatial Profiling (DSP) were performed on formalin-fixed paraffin-embedded (FFPE) tumor biopsies collected before NAC (baseline). Immunohistochemistry (IHC) evaluation focused on CD3 and CD20 expression was performed on baseline and end-of-treatment (EOT) FFPEs. Baseline peripheral blood was assessed for lymphocyte and neutrophil counts. Kaplan-Meier analyses and Cox PH regression models were used for survival analyses (OS). RESULTS: In the periphery, pCR patients showed lower neutrophil counts, and neutrophil/ lymphocyte ratio (NLR) when compared to non-pCR patients. In the tumor microenvironment (TME), gene expression analysis and protein evaluations highlighted an abundance of B cells and CD3+ T cells in pCR versus non-pCR patients. On the contrary, increased protein expression of ARG1+ cells, and cells expressing immune checkpoints such as LAG3, ICOS, and STING were observed in the TME of patients with non-pCR. CONCLUSIONS: In the current study, we demonstrated that lower NLR levels and increased CD3+ T cells and B cell infiltration are associated with improved response and long-term outcomes in patients with MIBC receiving NAC. These findings suggest that the impact of immune environment should be considered in determining the clinical outcome of MIBC patients treated with NAC.

Development of prognostic model incorporating a ferroptosis/cuproptosis-related signature and mutational landscape analysis in muscle-invasive bladder cancer.

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is a prevalent and aggressive malignancy. Ferroptosis and cuproptosis are recently discovered forms of programmed cell death (PCD) that have attracted much attention. However, their interactions and impacts on MIBC overall survival (OS) and treatment outcomes remain unclear. METHODS: Data from the TCGA-BLCA project (as the training set), cBioPortal database, and GEO datasets (GSE13507 and GSE32894, as the test sets) were utilized to identify hub ferroptosis/cuproptosis-related genes (FRGs and CRGs) and develop a prognostic signature. Differential expression analysis (DEA) was conducted, followed by univariate and multivariate Cox's regression analyses and multiple machine learning (ML) techniques to select genetic features. The performance of the ferroptosis/cuproptosis-related signature was evaluated using Kaplan-Meier (K-M) survival analysis and receiver-operating characteristics (ROC) curves. Mutational and tumour immune microenvironment landscapes were also explored. Real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) experiments confirmed the expression patterns of the hub genes, and functional assays assessed the effects of SCD knockdown on cell viability, proliferation, and migration. RESULTS: DEA revealed dysregulated FRGs and CRGs in the TCGA MIBC cohort. SCD, DDR2, and MT1A were identified as hub genes. A prognostic signature based on the sum of the weighted expression of these genes demonstrated strong predictive efficacy in the training and test sets. Nomogram incorporating this signature accurately predicted 1-, 3-, and 5-year survival probabilities in the TCGA cohort and GSE13507 dataset. Copy number variation (CNV) and tumour immune microenvironment analysis revealed that high risk score level groups were associated with immunosuppression and lower tumour purity. The associations of risk scores with immunotherapy and chemical drugs were also explored, indicating their potential for guiding treatment for MIBC patients. The dysregulated expression patterns of three hub genes were validated by RT-qPCR experiments. CONCLUSIONS: Targeting hub FRGs and CRGs could be a promising therapeutic approach for MIBC. Our prognostic model offers a new framework for MIBC subtyping and can inform personalized therapeutic strategies.

Impact of diabetes mellitus on oncologic outcomes in patients receiving robot-assisted radical cystectomy for bladder cancer.

PURPOSE: Aim of this study is to investigate the association between DM and oncological outcomes among patients with muscle-invasive (MI) or high-risk non-muscle invasive (NMI) bladder cancer (BC) who underwent robot-assisted radical cystectomy with intracorporeal urinary diversion (RARC). METHODS: An IRB approved multi-institutional BC database was queried, including patients underwent RARC between January 2013 and June 2023. Patients were divided into two groups according to DM status. Baseline, clinical, perioperative, pathologic data were compared. Chi-square and Student t tests were performed to compare categorical and continuous variables, respectively. Kaplan-Meier method and Cox regression analyses were performed to assess the association between DM and oncologic outcomes. RESULTS: Out of 547 consecutive patients, 97 (17.7%) had DM. The two cohorts showed similar preoperative features, except for ASA score (p = 0.01) and Hypertension rates (p < 0.001). No differences were detected for perioperative complications, pT stage, pN stages and surgical margins status (all p > 0.12). DM patients displayed significantly lower 5-yr disease-free survival (DFS) (44.6% vs. 63.3%, p = 0.007), 5-yr cancer-specific survival (CSS) (45.1% vs. 70.1%, p = 0.001) and 5-yr Overall survival (OS) (39.9% vs. 63.8%, p = 0.001). At Multivariable Cox-regression analyses DM status was identified as independent predictor of worse cancer-specific survival (CSS) (HR 2.1; p = 0.001) and overall survival (OS) (HR 2.05; p < 0.001). CONCLUSION: Among BC patients who underwent RARC, DM patients showed worse oncologic outcomes than the non-DM patients, with DM status playing an independent negative predicting role in CSS and OS. Future prospective studies are awaited, stimulating basic and translational research to identify possible mechanisms of interaction between DM and BC.

Predicting prognosis and drug sensitivity in bladder cancer: an insight into Pan-programmed cell death patterns regulated by M6A modifications.

The team aimed to explore the possible functional significance of M6A regulation in Pan-programmed cell death (PCD) among patients with bladder cancer (BLCA). In BLCA patients, the analysis was conducted on the13 patterns of programmed cell death (PCD) and the regulation of M6A. Transcriptome, genomics, and clinical data were collected from TCGA-BLCA, GEO32548, and IMvigor210. Consensus clustering analysis, functional enrichment analysis, and other prognostic tools were used to validate the Pan-PCD. Finally, in vitro experiments and transcription sequencing were performed to understand the potential influence of the PI3K pathway on Pan-PCD in BLCA patients. Diverse PCD patterns were simultaneously activated, and M6A regulators exhibited significant variability in bladder malignant tissues. The machine learning algorithm established an 8-gene M6A-related Pan-PCD signature. This signature was validated in three independent datasets, and BLCA patients with higher risk scores had worse prognosis. An unsupervised clustering approach identified activated and suppressed Pan-PCD subgroups of BLCA patients, with distinct responses to immunotherapy and drug sensitivity. In addition, the PI3K pathway was identified as a key mechanism for various forms of programmed cell death, encompassing apoptosis, pyroptosis, autophagy, and cell death dependent on lysosomes. This research revealed that the Pan-PCD model was a more promising approach for BLCA patients under M6A regulation. A new signature from M6A-related Pan-PCD was proposed, with prognostic value for survival or drug sensitivity. The PI3K pathway was a key mechanism for multiple PCDs in BLCA patients.

Radiotherapy plus pembrolizumab for advanced urothelial carcinoma: results from the ARON-2 real-world study.

The addition of metastasis-directed radiotherapy (MDRT) to immunotherapy in patients with advanced urothelial carcinoma (aUC) has shown promising results. We report the real-world data from the ARON-2 study (NCT05290038) on the impact of conventional (CRT) or stereotactic body radiotherapy (SBRT) on the outcome of aUC patients receiving pembrolizumab after platinum-based-chemotherapy. Medical records of 837 patients were reviewed from 60 institutions in 20 countries. Two hundred and sixty-two patients (31%) received radiotherapy (cohort A), of whom 193 (23%) received CRT and 69 (8%) received SBRT. Patients were assessed for overall survival (OS), progression-free survival (PFS), and overall response rate (ORR). Univariate and multivariate analyses were used to explore the association of variables of interest with OS and PFS. With a median follow-up of 22.7 months, the median OS was 10.2 months, 6.8 months and 16.0 months in no RT, CRT and SBRT subgroups (p = 0.005), with an 1y-OS rates of 47%, 34% and 61%, respectively (p < 0.001). The 1y-OS rate in the SBRT subgroup were significantly higher for both lower (63%) and upper tract UC (68%), for pure urothelial histology (63%) and variant histologies (58%), and for patients with bone (40%) and lymph-node metastases (61%). Median PFS was 4.8 months, 9.6 months and 5.8 months in the CRT, SBRT and no RT subgroups, respectively (p = 0.060). The 1y-PFS rate was significantly higher (48%) in the SBRT population and was confirmed in all patient subsets. The difference in terms of ORR was in favour of SBRT. Our real-world analysis showed that the use of SBRT/pembrolizumab combination may play a role in a subset of aUC patients to increase disease control and possibly overall survival.

Amino-truncated NOV expression and its correlation with clinicopathologic features, prognosis, metastasis, and chemoresistance in bladder cancer.

Nephroblastoma, an overexpressed gene (NOV) protein, plays an important role in proliferation, differentiation, angiogenesis, adhesion, invasion and tumorigenesis, but the function of amino-truncated NOV is different. This study is to investigate the role of amino-truncated NOV in the progression of bladder cancer. Using immunohistochemistry and Western blot analysis, we detected the amino-truncated NOV in bladder cancer, and statistical analysis was performed to estimate the association between the expression of amino-truncated NOV and the patient's prognosis by SPSS 19.0. With transduction of amino-truncated NOV, we evaluated alteration for proliferation, migration, invasion and chemoresistance in bladder cancer cells, as well as some proteins related to Wnt/ß-catenin pathway and epithelial-mesenchymal transition. The truncated variant of the NOV protein was located in a nucleus other than the cytoplasm and highly expressed in bladder cancer, which was also linked to higher pathological grade and positive lymph node metastasis as well as recurrence. The exact sequence of this truncated protein was confirmed, and it was a 26-kDa splicing. The truncated NOV protein found in bladder cancer was cut at the 187th amino acid of the full-length protein. It was also involved in bladder cancer progression and chemoresistance through a mechanism involving epithelial-mesenchymal transition (EMT) and the Wnt/ß-catenin signaling pathway. Our findings provide experimental evidence that the nuclear NOV protein expression is a potential biomarker in the prognostic evaluation of bladder cancer and enhanced amino-truncated NOV expression is potentially important for bladder cancer cell invasion, metastasis and chemoresistance during progression.

Results from a real-world study: a novel glycosyltransferase risk score for prognosis, tumor microenvironment phenotypes and immunotherapy in bladder cancer.

BACKGROUND: Although immunotherapy shows tremendous potential in the treatment of bladder cancer (BLCA), the overall prognosis and response rates to immunotherapy in BLCA remain suboptimal. METHODS: We performed an extensive evaluation of glycosyltransferase expression patterns in BLCA patients by analyzing 210 glycosyltransferase-related genes. Subsequently, we established correlations between these glycosyltransferase patterns, prognosis, and tumor microenvironment (TME) phenotypes. To offer personalized patient assessments, we developed a glycosyltransferase risk score that accurately predicts prognosis, TME phenotypes, and molecular subtypes. Importantly, we developed a RNA-seq cohort, named Xiangya cohort, to validate our results. RESULTS: Two distinct patterns of glycosyltransferase expression were identified, corresponding to inflamed and noninflamed TME phenotypes, and demonstrated the potential to predict prognosis. We developed and validated a comprehensive risk score that accurately predicted individual patient prognosis in the TCGA-BLCA cohort. Additionally, we constructed a nomogram that integrated the risk score with several key clinical factors. Importantly, this risk score was successfully validated in external cohorts, including the Xiangya cohort and GSE48075. Furthermore, we discovered a positive correlation between this risk score and tumor-infiltrating lymphocytes in both the TCGA-BLCA and Xiangya cohorts, suggesting that patients with a higher risk score exhibited an inflamed TME phenotype and were more responsive to immunotherapy. Finally, we observed that the high and low risk score groups were consistent with the luminal and basal subtypes of BLCA, respectively, providing further validation of the risk score's role in the TME in terms of molecular subtypes. CONCLUSIONS: Glycosyltransferase patterns exhibit distinct TME phenotypes in BLCA. Our comprehensive risk score provides a promising approach for prognostic prediction and assessment of immunotherapy efficacy, offering valuable guidance for precision medicine.

Pelvic organ-preserving radical cystectomy versus standard radical cystectomy in female patients diagnosed with bladder cancer.

BACKGROUND: Pelvic organ-preserving radical cystectomy (POPRC) has been reported to result in a better postoperative quality of life in female with bladder cancer compared to standard radical cystectomy (SRC). However, its oncological outcomes remain a concern. PATIENTS AND METHODS: Female patients with bladder cancer who underwent POPRC or SRC were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Logistic regression was used to identify predictors of POPRC usage. To avoid the potential impact of baseline differences between groups on survival, a 1:2 propensity score matching (PSM) was implemented. After that, Kaplan-Meier curves and Log-rank tests were used to determine the significance of overall survival (OS) differences between patients in the SRC group and POPRC group. Finally, subgroup analysis based on predetermined indicators was performed. RESULTS: A total of 2193 patients were included with a median follow-up of 53 months, of whom 233 (10.6%) received POPRC and 1960 (89.4%) received SRC. No definitive predictors of POPRC were identified. Before PSM, POPRC resulted in comparable OS to SRC (HR = 1.09, p = 0.309), while after PSM, POPRC was associated with significantly worse OS (HR = 1.23, p = 0.038). In subgroup analyses, POPRC led to non-inferior OS (HR = 1.18, 95%CI 0.71-1.95, p = 0.531) in patients with non-muscle invasive bladder cancer (NMIBC) and T2 patients (HR = 1.07, p = 0.669), but significantly worse OS in T3 patients (HR = 1.41, p = 0.02). CONCLUSION: Currently, patients undergoing POPRC have not undergone strict screening, and candidates for POPRC should have more stringent criteria in the future to achieve satisfactory oncological outcomes. However, flaws in the study make more evidence needed to support our findings.

Prognostic analysis of anoikis-related genes in bladder cancer: An observational study.

Anoikis is proved to play a crucial role in the development of cancers. However, the impact of anoikis on the prognosis of bladder cancer (BLCA) is currently unknown. Thus, this study aimed to find potential effect of anoikis in BLCA. The Cancer Genome Atlas (TCGA)-BLCA and GSE13507 cohorts were downloaded from TCGA and the Gene Expression Omnibus (GEO) databases, respectively. Differentially expressed genes (DEGs) were screened between BLCA and normal groups, which intersected with anoikis-related genes to yield anoikis-related DEGs (AR DEGs). Univariate COX, rbsurv, and multivariate COX analyses were adopted in order to build a prognostic risk model. The differences of risk score in the different clinical subgroups and the relevance between survival rate and clinical characteristics were explored as well. Finally, chemotherapy drug sensitivity in different risk groups was analyzed. In total, 78 AR DEGs were acquired and a prognostic signature was build based on the 6 characteristic genes (CALR, FASN, CSPG4, HGF, INHBB, SATB1), where the patients of low-risk group had longer survival time. The survival rate of BLCA patients was significantly differential in different groups of age, stage, smoking history, pathologic-T, and pathologic-N. The IC50 of 56 drugs showed significant differences between 2 risk groups, such as imatinib, docetaxel, and dasatinib. At last, the results of real time quantitative-polymerase chain reaction (RT-qPCR) demonstrated that the expression trend of CALR, HGF, and INHBB was consistent with the result obtained previously based on public databases. Taken together, this study identified 6 anoikis-related characteristic genes (CALR, FASN, CSPG4, HGF, INHBB, SATB1) for the prognosis of BLCA patients, providing a scientific reference for further research on BLCA.

Identification and validation of basement membrane-related genes predicting prognosis and immune infiltration associated with bladder cancer.

Bladder cancer (BC) is fatal during muscle invasion and treatment progress is limited. In this study, we aimed to construct and validate basement membrane (BM)-associated gene prognosis to predict BC progression and tumor immune infiltration correlation. We choreographed BM-related genes in the Cancer Genome Atlas (TCGA) database using COX regression and least absolute shrinkage and selection operator (LASSO) analysis, and the predictive value of BM-related genes was further validated by the GSE32548, GSE129845, and immunohistochemistry staining. All analyses were performed with R-version 4.2.2, and its appropriate packages. Three genes were identified to construct a gene signature to predictive of BC prognosis. We divided the TCGA database into 2 groups, and patients in the high-risk group had worse overall survival (OS) than those in the low-risk group. In GSE32548, we confirmed that patients in the high-risk group had a poorer prognosis compared to those in the low-risk group in terms of OS. Immunohistochemical staining of EPEMP1, GPC2, and ITGA3 showed significantly higher expression at the protein level in BC tissues than in normal tissues. The Spearman analysis showed risk score was positively correlated with B cell naïve, Macrophages M2, and Mast cells resting. stromal score, immune score, and ESTIMATE scores were significantly higher in the high-risk group. drugs sensitivity analysis showed IC50 of Cisplatin, Gemcitabine, and Methotrexate in the high-risk group was significantly higher than that in the low-risk group. We identified 3 prognostic genes from a novel perspective of BM genes as effective risk stratification tools for BC patients.

The impact of double-J ureteral stenting before radical cystectomy on the development of upper tract urothelial carcinoma.

BACKGROUND: It is controversial whether the use of a double-J stent (DJ) in patients with bladder cancer before radical cystectomy (RC) increases the risk of tumour seeding in the upper tract and thus the risk of metachronous upper tract urothelial carcinoma (UTUC). The aim of our study is to investigate the risk of upper tract recurrence after RC in patients previously managed with a DJ stent. METHODS: A total of 699 patients who had undergone RC between January 2003 and March 2022 with complete perioperative data and pathological outcome were included in our study. Patients treated preoperatively with a DJ stent were identified and compared for development of metachronous UTUC with those who did not receive prior internal stenting. Multivariable Cox regression analysis was used to determine predictors of UTUC occurrence among the possible pathological features; risk factors for mortality after RC were also examined. RESULTS: Of 699 patients, 117 (16.7%) were managed preoperatively with a DJ stent. The overall probability of metachronous UTUC was 1%, 4% and 6% at 1, 3 and 5 years, respectively. The groups with and without DJ stenting were comparable regarding their clinicopathologic features, except for the higher incidence of hydronephrosis in the DJ group. At similar follow-up periods (median follow-up 32 months), metachronous UTUC was detected in four (3.4%) patients in the DJ group and in 13 (2.2%) in the non-stented group (P=0.44). The median interval (IQR) from cystectomy to UTUC was 40.5 (20-49) months in the DJ group and 37 (24-82) in the non-stented group (P=0.7). In the multivariable analysis, only presence of CIS (HR 3.83, 95% CI 1.19-12.29, P=0.024) and positive ureteral margin (HR=5.2, 95% CI 1.38-19.57, P=0.015) were predictors of metachronous UTUC. The study is limited by the retrospective nature and relatively short follow-up. CONCLUSIONS: Ureteral stenting for management of hydronephrosis in patients with bladder cancer undergoing RC is a viable option, without higher risk for UTUC or mortality. Patients with positive ureteral margin and CIS are considered high-risk groups for upper tract recurrence and should receive long-term, rigorous follow-up.

[Prognostic factors of patients with muscle invasive bladder cancer with intermediate-to-high risk prostate cancer].

OBJECTIVE: To investigate the prognostic factors for all-cause mortality in patients with muscle-invasive bladder cancer (MIBC) with intermediate-to-high-risk primary prostate cancer. METHODS: From January 2012 to October 2023, the clinical data of the patients with MIBC with intermediate-to-high-risk primary prostate cancer in Peking University Third Hospital were retrospectively analyzed. All the patients were monitored and the occurrence of all-cause death was documented as the outcome event in the prognostic study. Univariate and multivariate Cox proportional risk regression analysis models were implemented to search for independent influences on the prognosis of patients. For significant influencing factors (pathological T stage, M stage and perineural invasion of bladder cancer), survival curves were plotted before and after multifactorial Cox regression adjusting for confounding factors. RESULTS: A total of 32 patients were included in this study. The mean age was (72.5±6.6) years; the median preoperative total prostate specific antigen (tPSA) was 6.68 (2.47, 6.84) µg/L; the mean preoperative creatinine was (95±36) µmol/L, and the median survival time was 65 months. The majority of the patients (87.5%) had high-grade bladder cancer, 53.1% had lymphatic invasion, and 31.3% had perineural invasion. Prostate involvement was observed in 25.0% of the cases, and the positive rate of soft-tissue surgical margin was 37.5%. Multivariate Cox analysis revealed that preoperative creatinine level (HR=1.02, 95%CI: 1.01-1.04), pathological stage of bladder cancer T3 (HR=11.58, 95%CI: 1.38-97.36) and T4 (HR=19.53, 95%CI: 4.26-89.52) metastasis of bladder cancer (HR=9.44, 95%CI: 1.26-70.49) and perineural invasion of bladder cancer (HR=6.26, 95%CI: 1.39-28.27) were independent prognostic factors (P < 0.05). Survival curves with Log-rank test after adjusting for confounding factors demonstrated that bladder cancer pathology T3, T4, M1, and perineural invasion were unfavorable factors affecting the patients' survival prognosis (P < 0.05). CONCLUSION: Patients with MIBC with intermediate-to-high risk primary prostate cancer generally portends a poor prognosis. High preoperative serum creatinine, T3 or T4 pathological stage of bladder cancer, metastasis of bladder cancer and bladder cancer perineural invasion are poor prognostic factors for patients with MIBC with intermediate-to-high risk primary prostate cancer.

Development and validation of competing risk nomograms for predicting cancer­specific mortality in non-metastatic patients with non­muscle invasive urothelial bladder cancer.

We aimed to assess the cumulative incidences of cancer-specific mortality (CSM) in non-metastatic patients with non­muscle invasive urothelial bladder cancer (NMIUBC) and establish competing risk nomograms to predict CSM. Patient data was sourced from the Surveillance, Epidemiology, and End Results database, as well as the electronic medical record system in our institution to form the external validation cohort. Sub-distribution proportional hazards model was utilized to determine independent risk factors influencing CSM in non-metastatic NMIUBC patients. Competitive risk nomograms were constructed to predict 3-year, 5-year, and 8-year cancer-specific survival (CSS) in all patients group, TURBT group and cystectomy group, respectively. The discrimination and accuracy of the model were validated through the concordance index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration curves. Decision curve analysis (DCA) and a risk stratification system was employed to evaluate the clinical utility of the model. Race, age, marital status, surgery in other sites, tumor size, histological type, histological grade, T stage and N stage were identified as independent risk factors to predict CSS in all patients group. The C-index for 3-year CSS was 0.771, 0.770 and 0.846 in the training, testing and external validation sets, respectively. The ROC curves showed well discrimination and the calibration plots were well fitted and consistent. Moreover, DCA demonstrated well clinical effectiveness. Altogether, the competing risk nomogram displayed excellent discrimination and accuracy for predicting CSS in non-metastatic NMIUBC patients, which can be applied in clinical practice to help tailor treatment plans and make clinical decisions.

Integrating single-cell RNA-seq to identify fibroblast-based molecular subtypes for predicting prognosis and therapeutic response in bladder cancer.

BACKGROUND: Bladder cancer (BLCA) is a highly aggressive and heterogeneous disease, posing challenges for diagnosis and treatment. Cancer immunotherapy has recently emerged as a promising option for patients with advanced and drug-resistant cancers. Fibroblasts, a significant component of the tumor microenvironment, play a crucial role in tumor progression, but their precise function in BLCA remains uncertain. METHODS: Single-cell RNA sequencing (scRNA-seq) data for BLCA were obtained from the Gene Expression Omnibus database. The R package "Seurat" was used for processing scRNA-seq data, with uniform manifold approximation and projection (UMAP) for downscaling and cluster identification. The FindAllMarkers function identified marker genes for each cluster. Differentially expressed genes influencing overall survival (OS) of BLCA patients were identified using the limma package. Differences in clinicopathological characteristics, immune microenvironment, immune checkpoints, and chemotherapeutic drug sensitivity between high- and low-risk groups were investigated. RT-qPCR and immunohistochemistry validated the expression of prognostic genes. RESULTS: Fibroblast marker genes identified three molecular subtypes in the testing set. A prognostic signature comprising ten genes stratified BLCA patients into high- and low-score groups. This signature was validated in one internal and two external validation sets. High-score patients exhibited increased immune cell infiltration, elevated chemokine expression, and enhanced immune checkpoint expression but had poorer OS and a reduced response to immunotherapy. Six sensitive anti-tumor drugs were identified for the high-score group. RT-qPCR and immunohistochemistry showed that CERCAM, TM4SF1, FN1, ANXA1, and LOX were highly expressed, while EMP1, HEYL, FBN1, and SLC2A3 were downregulated in BLCA. CONCLUSION: A novel fibroblast marker gene-based signature was established, providing robust predictions of survival and immunotherapeutic response in BLCA patients.