Bladder Cancer Cases Research Articles

Hyperthermia reduces cancer cell invasion and combats chemoresistance and immune evasion in human bladder cancer.

Bladder cancer (BC) is a common malignancy and its most prevalent type is urothelial carcinoma, which accounts for ~90% of all cases of BC. The current treatment options for BC are limited, which necessitates the development of alternative treatment strategies. Hyperthermia (HT), as an adjuvant cancer therapy, is known to improve the efficacy of chemotherapy or radiotherapy. The present study aimed to investigate the anti‑tumor effects of HT on cell survival, invasiveness, chemoresistance and immune evasion in human BC cell lines (5637, T24 and UMUC3). Calcein AM staining was performed to analyze the cytotoxicity of natural killer (NK) cells against human BC cells following HT treatment. Cell migration and invasion affected by HT were analyzed using Transwell migration and invasion assays. It was found that HT inhibited the proliferation of BC cells by downregulating the phosphorylation of protein kinase B. Moreover, HT effectively enhanced the sensitivity of BC cells to the chemotherapy drug cisplatin (DDP) and reduced the chemoresistance of DDP‑resistant cells by downregulating the expression of cadherin‑11. It was further demonstrated that HT inhibited the migration and invasion of BC cells and enhanced the cytotoxic effects of NK cells. In summary, the antineoplastic effects of HT were mediated through three main mechanisms: Enhancement of the chemosensitivity of BC cells and mitigation of DDP‑induced chemoresistance, suppression of the invasive potential of BC cells and reinforcement of the anticancer response of NK cells. Thus, HT appears to be a promising adjunctive therapy for human BC.

Expert consensus of multi-disciplinary collaboration on bladder-preserving treatment for bladder cancer in China (2024 edition)

Bladder cancer is one of the common malignant tumors in urology. According to statistics, there will be 613 791 new cases of bladder cancer in the world in 2022, and the number of new cases of bladder cancer in China will be approximately 92 900, accounting for approximately 15% of new cases of bladder cancer in the world, ranking 11th in the spectrum of malignant tumors in China, among which there are approximately 73 200 new cases in males, ranking 8th in the spectrum of male malignant tumors. Bladder urothelial cancer accounts for approximately 90% of all bladder malignant tumors. It can be divided into non-muscle-invasive bladder cancer and muscle-invasive bladder cancer according to whether it invades the bladder muscle layer. Radical cystectomy is the standard treatment for muscle invasive bladder cancer patients and bacillus calmette-guerin (BCG) unresponsive high-risk non-muscle invasive bladder cancer patients. Nevertheless, due to the patient's underlying diseases and the deterioration of the quality of life caused by surgery, many patients refused or are not suitable for radical cystectomy. Therefore, it is vital to find a bladder-preserving treatment that can achieve cure other than radical cystectomy. Bladder-preserving therapy that balances tumor control and quality of life serves as an alternative and supplement to radical cystectomy. This consensus is based on contemporary evidence-based medicine, combined with native clinical practice and experiences of bladder preservation in a multidisciplinary treatment manner. To some extent, this consensus serves as a guidance for bladder preservation of bladder cancer in China. The consensus aims to discuss issues including organizational structure and workflow of multidisciplinary treatment, the selection of patients for bladder-preserving therapy, treatment options and regimens, efficacy evaluation, follow-up, as well as regimen choices of recurrence after bladder-preserving therapy.

Is Immunohistochemical Galectin-3 Expression Associated with the Epithelial-Mesenchymal Transition in High- and Low-Grade Invasive Urothelial Carcinomas of the Bladder?

Background/Objectives: Bladder cancer, predominantly urothelial carcinoma, is an important malignancy of the urinary system. Despite the same histologic grade and stage, some patients seem to have a worse prognosis. In this context, the epithelial-mesenchymal transition (EMT), characterized by the loss of E-cadherin and gain of vimentin expression, is an important process in tumor progression. Galectin-3, a lactose-binding protein involved in various cellular processes, has been associated with increased tumor cell migration, invasion, and treatment resistance. Methods: In this study, 223 bladder cancer cases were examined, and E-cadherin, vimentin, and galectin-3 expression was evaluated by immunohistochemical staining in tumor budding areas and invasive components. These markers were also correlated with clinicopathological parameters, including tumor grade and stage. Results: The results indicated a significant decrease in E-cadherin expression and an increase in vimentin staining in higher-grade and higher-stage tumors, supporting EMT involvement. Galectin-3 expression was notably higher in T1 high-grade tumors but decreased in T2 stage tumors. Despite this, no significant correlation was found between galectin-3 and E-cadherin or vimentin, suggesting a complex role of galectin-3 in EMT. Conclusions: High galectin-3 expression in T1 high-grade tumors highlights its potential role in early tumor progression and as a therapeutic target. However, the decrease in its expression in advanced stages underscores the need for further research to understand its multifaceted involvement in bladder cancer. These findings suggest that while galectin-3 may contribute to the EMT and early tumor progression, its exact role and potential as a therapeutic target require more detailed investigation.

A basement membrane-related signature for prognosis and immunotherapy benefit in bladder cancer based on machine learning

BackgroundBladder cancer has a poor clinical outcome because of its high aggressiveness. Basement membrane plays vital functions in tumor invasion and migration. Invasion and distant metastasis of cancer are facilitated by degradation of the basement membrane and extracellular matrix.MethodsTen machine learning methods were utilized to develop the basement membrane-related signature (MRS) using datasets from TCGA, GSE13507, GSE31684, GSE32984 and GSE48276. Three anti-PD1 or anti-CTLA4 datasets and several predicting scores were used to investigate the performance of MRS in predicting the immunotherapy benefits.ResultsA predicting model based on the Enet algorithm (alpha = 0.1) was chosen as the optimal MRS since it had the highest average C-index being 0.72. According to TCGA data, the MRS showed good performance in predicting bladder cancer patients' clinical outcomes, with area under curves of 0.744, 0.766 and 0.817 for 1, 3, and 5-year receiver operating characteristic curve, respectively. PD1 and CTLA4 immunophenoscopes were associated with a low MRS score, as well as a lower tumor immune dysfunction and exclusion score. As MRS score increased, immune-activated cells levels decreased, tumor immune dysfunction and exclusion score decreased, immune escape score decreased, intratumor heterogeneity score decreased, PD1&CTLA4 immunophenoscore increased, and tumor mutational burden score increased in bladder cancer, suggesting better immunotherapy benefits. Bladder cancer cases with high MRS score was correlated with higher cancer related hallmark scores, including NOTCH and glycolysis signaling.ConclusionA new MRS has been developed for bladder cancer, which could be used to predict prognosis and the success of immunotherapy.

Incidence trends, histological subtypes, and topographical distribution of bladder cancer in Iran: a study based on the Iranian National Cancer Registry during 2006-2015.

Bladder cancer (BCa) is a significant public health concern. This study aimed to analyze the incidence trends, histological subtypes, and topographical distribution of BCa in Iran over a decade. This retrospective registry-based study analyzed data on BCa patients diagnosed between March 20, 2006, and March 20, 2015. Following data quality control, age-standardized incidence rates (ASIRs) were calculated for BCa overall, by sex and histological subtype using the new World Health Organization (WHO) standard population. We identified 51,379 BCa cases (81.97% male) with a mean age of 65.10 ± 14.89 years. The overall ASIR was 8.92 per 100,000 (95% CI: 8.84-9.00). While a modest increase in ASIR was observed overall (8.77 in 2006 to 9.64 in 2015) and among males (14.13 in 2006 to 15.95 in 2015) during the study period, males consistently had a significantly higher ASIR compared to females (approximately 4.5:1 ratio). BCa incidence showed a progressive increase across older age groups, particularly those aged 40-44 to 80-84 years. Urothelial cell carcinoma (UCC) was the most prevalent histological type (ASIR: 8.19 to 7.93), followed by adenocarcinoma (AC; ASIR: 0.13 to 0.11). Squamous cell carcinoma (SCC) displayed a decreasing trend (ASIR: 0.11 to 0.06). Both UCC and AC were more frequent in males (approximately 5 and 3 times higher than females, respectively). Malignant neoplasm of the bladder, unspecified, constituted over 95% of BCa topography classifications. This study identified a modest rise in BCa incidence, with male predominance and a higher burden in older adults. Further investigation into potential risk factors contributing to this increase is warranted.

Leveraging programmed cell death signature to predict clinical outcome and immunotherapy benefits in postoperative bladder cancer

Bladder cancer is the fourth most common malignancy in men with poor prognosis. Programmed cell death (PCD) exerts crucial functions in many biological processes and immunotherapy responses of cancers. Cell death signature (CDS) is novel gene signature comprehensively considering the characteristics of 15 patterns of programmed cell death, which could affect the prognosis and immunotherapy benefits of cancer patients. Integrative machine learning procedure including 10 algorithms was conducted to construct a prognostic CDS using TCGA, GSE13507, GSE31684, GSE32984 and GSE48276 datasets. Immunophenoscore, intratumor heterogeneity (ITH), tumor immune dysfunction and exclusion (TIDE) score and five immunotherapy cohorts were used to evaluate the predictive value of CDS in immunotherapy response. The prognostic CDS constructed by StepCox[backward] + Ridge algorithms was regarded as the optimal prognostic model. The CDS had a stable and powerful performance in predicting overall survival of bladder cancer patients with the AUCs at 3-year, 5-year, and 7-year ROC of 0.740, 0.763 and 0.820 in TCGA cohort. Moreover, CDS score acted as an independent risk factor for overall survival rate of bladder cancer patients. Low CDS score had a higher abundance of immuno-activated cells, higher PD1&CTLA4 immunophenoscore, higher TMB score, lower TIDE score, lower immune escape score, lower ITH score, lower cancer-related hallmarks score in bladder cancer. The CDS score was higher in non-responders in pan-cancer patients receiving immunotherapy. Our study constructed a novel prognostic CDS, which could serve as an indicator for predicting the prognosis in postoperative bladder cancer cases and immunotherapy benefits in pan-cancer. Low CDS score indicated a better prognosis and immunotherapy benefits.

Development and validation of a recurrence risk assessment model for high-grade bladder cancer based on TCGA and GEO.

Bladder cancer is one of the most commonly diagnosed urinary cancers worldwide. Although muscle-invasive bladder cancer (MIBC) accounts for only 25% of bladder cancer cases, it has a high recurrence rate and poor prognosis, especially among high-grade cases. Despite the existence of some molecular markers, there is a clear clinical need for a robust recurrence prediction model that can assist in patient management and therapeutic decision-making. Therefore, we aimed to use public databases to develop such an effective assessment model. We developed a recurrence risk assessment model for high-grade bladder cancer based on the clinical information of 217 cases from The Cancer Genome Atlas (TCGA) and profiles of 87 samples from GSE31684 in the Gene Expression Omnibus (GEO) database. Edge R was used to analyze differences between RNAs of bladder cancer in the TCGA database, with thresholds of P<0.05 and |log2(fold change)| >1; least absolute shrinkage and selection operator (LASSO) Cox regression models were used to screen the RNAs significantly related to recurrence with minimum λ. Survival receiver operating characteristic (ROC) and area under the curve (AUC) was used to assess the predictive accuracy of the model in the training and validation sets of GSE31684. There were 2,876 differential RNAs obtained from TCGA data. Among a total of 284 RNAs identified as significantly related to recurrence of bladder cancer, 49 were obtained by LASSO regression, and 30 were finally obtained by multifactor risk regression to construct a risk assessment model. The model was found to predict the prognosis of bladder cancer recurrence well, with an AUC of 0.911 in the TCGA training set and an adjusted AUC value of 0.839 in the GEO validation set. The recurrence assessment model is a relatively accurate recurrence prediction tool for high-grade bladder cancer and could provide a guidance for the treatment of bladder cancer.

CD276 as a promising diagnostic and prognostic biomarker for bladder cancer through bioinformatics and clinical research.

To assess CD276 expression and explore its relationship with the clinicopathological characteristics and prognosis of patients with bladder cancer. In total, RNA-sequencing data and clinical profiles of 436 bladder cancer cases from The Cancer Genome Atlas (TCGA) were assessed using the University of California Santa Cruz Xena (UCSC) platform. We compared the CD276 levels in cancerous and adjacent normal tissues and used the R software for statistical association with the clinical stage, grade, and survival (the overall survival, disease-specific survival, and progression-free survival). A single-gene GSEA analysis on TCGA-BLCA data was performed to explore potential pathways through which CD276 might influence bladder cancer. Additionally, CD276 expression was analyzed by comparing data from 9 cancerous tissues and 3 adjacent normal tissues in the GEO dataset GSE7476. Furthermore, we analyzed 133 cancerous bladder and adjacent tissue samples from the Soochow University Hospital, collected between January 1, 2016, and September 30, 2022, to assess the CD276 protein expression using immunohistochemistry. We examined the relationship between tumor CD276 levels and clinical outcomes and prognosis of bladder cancer. Bioinformatic analysis revealed elevated CD276 expression in tumors compared to that in adjacent tissues (p<0.05), correlating with poor survival. GSEA revealed that CD276 was significantly involved in extracellular matrix-related pathways. Immunohistochemistry confirmed CD276 overexpression in tumor tissues, with higher levels linked to advanced pathological grades and worse prognosis. CD276 is markedly upregulated in bladder cancer and associated with severe pathological features, advanced disease, potential for metastasis, and diminished survival rates. It may promote bladder cancer development and progression by influencing extracellular matrix-related-related pathways, making it a viable diagnostic and prognostic biomarker for bladder cancer.

P106 ENZYMES INVOLVED IN THE CATABOLISM OF TRYPTOPHAN IN THE PROGNOSIS OF BLADDER CANCER

Bladder cancer (BC) ranks third among the most common carcinomas in Brazil. Tumor immunology opens up perspectives for treatment, where the enzyme indoleamine 2,3-dioxygenase-1 (IDO1) stands out for degrading the amino acid tryptophan, initiating a cascade that culminates in the generation of catabolites (derived from kynurenine). These catabolites, in different associations, determine degrees of local immunosuppression. These catabolites are generated by other enzymes that have not yet been studied in BC. We analyzed the expression of enzymes involved in tryptophan catabolism in order to correlate them with the stage, recurrence, and progression of BC. Analysis of published microarray databases was performed using the NCBI (National Center of Biotechnology Information) and accessed through GEO Datasets (Gene Expression Omnibus). The descriptor “Bladder cancer” was used. Series that provided analysis of normal bladder tissue (Normal) versus BC, including cases of non-muscle invasive BC (CBNMI) and muscle invasive BC (CBMI), recurrence and progression. Statistical analysis was performed using the GEO2R and ROC curve was used. The transcripts were: Tryptophan 2,3-dioxygenase (TDO2), Indoleamine 2,3-dioxygenase (IDO1), Kynurenine Formamidase (AFMID), Kynureninase (KNYU), Kynurenine-oxoglutarate-transaminase 1 (KYAT1), and Kynurenine Monooxygenase (KMU). GSE13507 series was selected, with ten Normal samples and 165 BC samples, including 104 CBNMI and 61 CBMI cases. CBNMI was predicted by KYNU, AFMID, and KYAT1 (AUC of 0.625, 0.589, and 0.638, respectively; p&lt;0.05), while for CBMI were, IDO1, TDO2, and KMO (AUC of 0.662, 0.633, and 0.601, respectively; p&lt;0.05). No enzyme was found to be important in predicting progression; however, the IDO1 enzyme was predictive of recurrence (AUC of 0.366; p&lt;0.05). A relationship between the two IDO1/KYNU was established, which improved the prediction of stage for CBNMI (AUC of 0.733, p&lt;0.05), non-progression (AUC of 0.619, p&lt;0.05), and non-recurrence (AUC of 0.626, p&lt;0.05). The expression of enzymes involved in tryptophan catabolism may aid in the prognosis of BC. It is likely that these enzymes are involved in tumor immunomodulation, which will be explored in future studies.

Fatal Bladder Carcinoma in Woman with Human Immunodeficiency Virus: A Case Report

Background: Chronic human immunodeficiency virus (HIV) infection is associated with an increased incidence of Non-Acquired Immunodeficiency Syndrome (non-AIDS) defining cancers. To date, only a limited number of cases of bladder cancer have been linked with HIV infection in women. We sought to describe the clinical characteristics of HIV-associated bladder cancer. Methods: A 54-year-old female patient presented with symptoms of an occlusive syndrome. Medical examination was followed by a CT scan. The imaging revealed a significant finding. There was a noticeable process within the bladder. Further evaluation and management were recommended. Results: Spontaneous urinary cytology revealed the presence of malignant cells. An endoscopy was performed under spinal anesthesia, uncovering a large sessile tumor with necrotic areas located on the ventral aspect and dome of the bladder. Due to the severity of the condition, a palliative resection was carried out. Subsequent histological examination identified the tumor as a high-grade urothelial carcinoma, with evidence of muscle invasion. This diagnosis confirmed the aggressive nature of the disease, highlighting the necessity for further medical management and intervention. Conclusion: Bladder cancers in HIV-infected patients are rare but can occur in relatively young individuals with a low nadir CD4 cell count. These cancers often exhibit aggressive pathological features and can be fatal.

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

IntroductionPreviously, 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.MethodsThis 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).ResultsFrom 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.ConclusionDespite the superiority in detrusor sampling rate, bipolar TURBT was unable to confer long-term oncological benefits over monopolar TURBT.

Comparison of golden-angle radial sparse parallel (GRASP) and conventional cartesian sampling in 3D dynamic contrast-enhanced mri for bladder cancer: a preliminary study.

To compare the image quality, inter-reader agreement, and diagnostic capability for muscle-invasive bladder cancer (MIBC) of the reconstructed images in sections orthogonal to the bladder tumor obtained by 3D Dynamic contrast-enhanced (DCE)-MRI using the Golden-angle Radial Sparse Parallel (GRASP) technique with the images directly captured using the Cartesian sampling. This study involved 68 initial cases of bladder cancer examined with DCE-MRI (GRASP: n = 34, Cartesian: n = 34) at 3 Tesla. Four radiologists conducted qualitative evaluations (overall image quality, absence of motion artifact, absence of streak artifact, and tumor conspicuity) using a five-point Likert scale (5 = Excellent/None) and quantitative signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) measurements. The areas under the receiver-operating characteristic curves (AUCs) for the Vesical Imaging-Reporting and Data System (VI-RADS) DCE score for MIBC assessment were calculated. Inter-reader agreement was also assessed. GRASP notably enhanced overall image quality (pooled score: GRASP 4 vs. Cartesian 3, P < 0.0001), tumor conspicuity (5 vs. 3, P < 0.05), SNR (Median 38.2 vs. 19.0, P < 0.0001), and CNR (7.9 vs. 6.0, P = 0.005), with fewer motion artifacts (5 vs. 3, P < 0.0001) and minor streak artifacts (5 vs. 5, P > 0.05). Although no significant differences were observed, the GRASP group tended to have higher AUCs for MIBC (pooled AUCs: 0.92 vs. 0.88) and showed a trend toward higher inter-reader agreement (pooled kappa-value: 0.70 vs. 0.63) compared to the Cartesian group. Using the GRASP for 3D DCE-MRI, the reconstructed images in sections orthogonal to the bladder tumor achieved higher image quality and improve the clinical work flow, compared to the images directly captured using the Cartesian. GRASP tended to have higher diagnostic ability for MIBC and showed a trend toward higher inter-reader agreement compared to the Cartesian.

Histopathologic, Molecular, and Clinical Profiling of Lymphoepithelioma-like Carcinoma of the Bladder

Lymphoepithelioma-like carcinoma of the bladder (LELC-B) is a rare histologic subtype characterized by strong immune cell (IC) infiltrates. A better prognosis and favorable response rates to immune checkpoint inhibitors have been described. We aimed to characterize the molecular profiles and IC infiltration of LELC-B for a better understanding of its therapeutic implications. We identified 11 muscle-invasive bladder cancer cases with pure and mixed LELC-B. Programmed cell death ligand-1 (PD-L1) expression and mismatch repair proteins were evaluated using immunohistochemistry. We calculated the tumor mutational burden and characterized mutational profiles using whole-exome DNA sequencing data. Transcriptomic signatures were detected using the NanoString nCounter PanCancer IO360 Panel. Multiplex immunofluorescence of tumor microenvironment (PD-L1, PanCK, α-SMA, vimentin, CD45, and Ki67) and T cells (CD4, CD3, PD-1, CD163, CD8, and FoxP3) was used to quantify cell populations. All LELC-B cases were highly positive for PD-L1 (median tumor proportion score/tumor cell, 70%; range, 20%-100%; median combined positive score, 100; range, 50-100) and mismatch repair proficient and negative for Epstein-Barr virus infection. IC infiltrates were characterized by a high CD8+ T-cell count and high PD-1/PD-L1 expression on immune and tumor cells. LELC-B showed upregulation of signaling pathways involved in IC response. Most common mutations were found in chromatin remodeling genes causing epigenetic dysregulation. All LELC-B cases showed high tumor mutational burden with a median of 39 mutations/Mb (IQR, 29-66 mutations/Mb). In conclusion, LELC-B is a highly immunogenic tumor, showing strong upregulation of PD-1/PD-L1 and making immune checkpoint inhibitors a promising treatment option.

A platelet-related signature for predicting the prognosis and immunotherapy benefit in bladder cancer based on machine learning combinations.

Bladder cancer carries a large societal burden, with over 570,000 newly diagnosed cases and 210,000 deaths globally each year. Platelets play vital functions in tumor progression and therapy benefits. We aimed to construct a platelet-related signature (PRS) for the clinical outcome of bladder cancer cases. Ten machine learning techniques were used in the integrative operations to build PRS using the datasets from The Cancer Genome Atlas (TCGA), gene series expression (GSE)13507, GSE31684, GSE32894 and GSE48276. A number of immunotherapy datasets and prediction scores, including GSE91061, GSE78220, and IMvigor210, were utilized to assess how well the PRS predicted the benefit of immunotherapy. Vitro experiment was performed to verify the role of α1C-tubulin (TUBA1C) in bladder cancer. Enet (alpha =0.4) algorithm-based PRS had the highest average C-index of 0.73 and it was suggested as the optimal PRS. PRS acted as an independent risk factor for bladder cancer and patients with high PRS score portended a worse overall survival rate, with the area under the curve of 1-, 3- and 5-year operating characteristic curve being 0.754, 0.779 and 0.806 in TCGA dataset. A higher level of immune-activated cells, cytolytic function and T cell co-stimulation was found in the low PRS score group. Low PRS score demonstrated a higher tumor mutation burden score and programmed cell death protein 1 & cytotoxic T-lymphocyte associated protein 4 immunophenoscore, lower tumor immune dysfunction and exclusion score, intratumor heterogeneity score and immune escape score in bladder cancer, suggesting the PRS as an indicator for predicting immunotherapy benefits. Vitro experiment showed that TUBA1C was upregulated in bladder cancer and knockdown of TUBA1C obviously suppressed tumor cell proliferation. The present study developed an ideal PRS for bladder cancer, which may be used as a predictor of prognosis, a risk classification system, and a therapy guide.

Deep learning identifies histopathologic changes in bladder cancers associated with smoke exposure status.

Smoke exposure is associated with bladder cancer (BC). However, little is known about whether the histologic changes of BC can predict the status of smoke exposure. Given this knowledge gap, the current study investigated the potential association between histology images and smoke exposure status. A total of 483 whole-slide histology images of 285 unique cases of BC were available from multiple centers for BC diagnosis. A deep learning model was developed to predict the smoke exposure status and externally validated on BC cases. The development set consisted of 66 cases from two centers. The external validation consisted of 94 cases from remaining centers for patients who either never smoked cigarettes or were active smokers at the time of diagnosis. The threshold for binary categorization was fixed to the median confidence score (65) of the development set. On external validation, AUC was used to assess the randomness of predicted smoke status; we utilized latent feature presentation to determine common histologic patterns for smoke exposure status and mixed effect logistic regression models determined the parameter independence from BC grade, gender, time to diagnosis, and age at diagnosis. We used 2,000-times bootstrap resampling to estimate the 95% Confidence Interval (CI) on the external validation set. The results showed an AUC of 0.67 (95% CI: 0.58-0.76), indicating non-randomness of model classification, with a specificity of 51.2% and sensitivity of 82.2%. Multivariate analyses revealed that our model provided an independent predictor for smoke exposure status derived from histology images, with an odds ratio of 1.710 (95% CI: 1.148-2.54). Common histologic patterns of BC were found in active or never smokers. In conclusion, deep learning reveals histopathologic features of BC that are predictive of smoke exposure and, therefore, may provide valuable information regarding smoke exposure status.

Assessing the safety of bladder-preserving therapy as an alternative to surgical intervention in elderly patients with muscle invasive bladder cancer.

There is interest in using bladder-preserving therapy as an alternative definitive therapy for muscle invasive bladder cancer in certain high-risk groups such as the elderly. To determine if bladder-preserving therapy represents a safer alternative to surgical intervention in elderly patients with muscle invasive bladder cancer. We surveyed the Surveillance, Epidemiology and End Results database (SEER) for cases of non-metastasized malignant bladder cancer in patients aged 80+. Survival outcomes with radical cystectomy (RC) with or without chemotherapy were compared to those after chemotherapy and radiation without cystectomy. We performed log-rank tests and Kaplan-Meier and cox regression and hazard analyses before and after propensity score matching. A total of 2995 patients were identified, with 49.98% treated with RC only, 8.65% treated with RC/chemotherapy, and 41.37% treated with chemotherapy and radiation without RC. Median overall survival for the RC only, RC/chemotherapy and chemotherapy/radiation groups were 31.4, 44.1, and 24.6 months, respectively. On multivariate analysis, hazard ratios (reference: RC/chemotherapy group) were RC Only (HR = 1.408 (95% CI 1.188-1.669), p < 0.0001) and chemotherapy/radiation (HR = 1.650 (95% CI 1.390-1.959), p < 0.0001). After matching the chemotherapy/radiation and RC/chemotherapy groups, the former continued to show survival hazard (HR = 1.744 (95% CI 1.414-2.155), p < 0.0001). Octogenarians should be offered definitive local therapy for their localized bladder cancer including RC and chemotherapy. Bladder-sparing alternatives should be reserved for patients unfit for surgery.

Prospective evaluation of surgical margins in non-muscle invasive bladder cancer following primary transurethral resection

PurposeNon-muscle invasive bladder cancers (NMIBC) constitute approximately 75% of bladder cancer cases. Primary transurethral resection (TUR) plays a pivotal role in both diagnosis and treatment. However, despite initial resection, tumors are often missed, leaving behind microscopic residual tumors. This study aims to prospectively investigate the surgical margins of tumors, which may serve as a potential source of residual tumors. Materials and methodsSeventy patients diagnosed with NMIBC who underwent primary TUR were enrolled in this study. Following initial resection, samples were collected from the normal-appearing mucosa extending 1cm beyond the surgical margins. Lesions were categorized as ‘healthy margins’ for benign lesions, ‘tumoral margins’ for urothelial cancer, and ‘dysplastic margins’ for urothelial dysplasia. Clinical and pathological features of these groups were compared, and risk factors for detecting transitional cell carcinoma (TCC) in the normal-looking mucosa were analyzed. ResultsThe tumoral margins group showed a significantly higher rate of T1 stage tumors compared to the healthy margins group, and a significantly higher rate of high-grade (HG) tumors compared to the dysplastic margins group. Moreover, the tumoral margins group had a significantly higher proportion of high-risk patients (85.7%) compared to the other groups, while the healthy margins group had a significantly higher proportion of low-risk patients (35.3%) compared to the tumoral margins group (0.0%). Additionally, the tumoral margins group demonstrated a significantly higher rate of carcinoma in situ (CIS) compared to the healthy margins group (35.7% vs. 5.9%). Detection of urothelial cancer at the margins was associated with T1 stage, HG stage, and the presence of CIS based on univariate analyses. ConclusionTo minimize residual tumors and prevent recurrence in patients undergoing primary TUR, we advocate for the resection of macroscopically visible tumors with nearly 2cm of intact bladder tissue, thereby enhancing the quality of TUR. Level of evidenceThis study provides Level II evidence, based on its design as a prospective observational study. The findings are derived from well-designed cohort analyses, providing significant associations and insights into the factors affecting surgical margins in NMIBC patients.

Learning generalizable AI models for multi-center histopathology image classification

Investigation of histopathology slides by pathologists is an indispensable component of the routine diagnosis of cancer. Artificial intelligence (AI) has the potential to enhance diagnostic accuracy, improve efficiency, and patient outcomes in clinical pathology. However, variations in tissue preparation, staining protocols, and histopathology slide digitization could result in over-fitting of deep learning models when trained on the data from only one center, thereby underscoring the necessity to generalize deep learning networks for multi-center use. Several techniques, including the use of grayscale images, color normalization techniques, and Adversarial Domain Adaptation (ADA) have been suggested to generalize deep learning algorithms, but there are limitations to their effectiveness and discriminability. Convolutional Neural Networks (CNNs) exhibit higher sensitivity to variations in the amplitude spectrum, whereas humans predominantly rely on phase-related components for object recognition. As such, we propose Adversarial fourIer-based Domain Adaptation (AIDA) which applies the advantages of a Fourier transform in adversarial domain adaptation. We conducted a comprehensive examination of subtype classification tasks in four cancers, incorporating cases from multiple medical centers. Specifically, the datasets included multi-center data for 1113 ovarian cancer cases, 247 pleural cancer cases, 422 bladder cancer cases, and 482 breast cancer cases. Our proposed approach significantly improved performance, achieving superior classification results in the target domain, surpassing the baseline, color augmentation and normalization techniques, and ADA. Furthermore, extensive pathologist reviews suggested that our proposed approach, AIDA, successfully identifies known histotype-specific features. This superior performance highlights AIDA’s potential in addressing generalization challenges in deep learning models for multi-center histopathology datasets.

Incidence, initial management and survival of high-risk non-muscle invasive bladder cancer in Northern France

ObjectiveInformation on bladder cancer (BC) according to the risk scoring for recurrence or progression in a general population is scarce despite its clinical relevance. The objective was to describe the characteristics of incident BC in a general population, with a focus on the initial management of high-risk non-muscle invasive BC (HR-NMIBC). MaterialsBC incident in 2011–2012 recorded in a population-based cancer registry were studied. Data was extracted from medical files. NMIBC were classified according to potential risk for recurrence/progression. Individual and tumor characteristics of incident BC were described. Incidence, initial management and survival (12/31/2021) of HR-NMIBC were assessed. ResultsAmong 538 BC cases, 380 were NMIBC [119 low (22.1%), 163 intermediate (30.3%), 98 high (18.2%) risk] and 147 (27.3%) were MIBC. HR-NMIBC diagnostic and therapeutic management [imaging, re-TUR, multidisciplinary team meetings (MDT) assessment, specific treatment] revealed discrepancies with guidelines recommendations. Seventy-two out of 98 cases were assessed in an MDT with a median time from diagnosis of 18days [first quartile: 12-third quartile: 32]. Globally, treatment agreed with MDT decisions. Intravesical instillation was the most common treatment (n=56) but 27 HR-NMIBC did not receive specific treatment after TUR. Five and 10years overall survival was 52% [42–63] and 41% [31–51], respectively. Five years net survival was 63% [47–75]. ConclusionsDespite National cancer plans aiming to improve care giving and despite the severity of HR-NMIBC, guideline-recommended patterns of care were underused in this region. This may deserve attention to identify obstacles to guideline adoption to try to improve BC patient care and survival. Level of evidence3

Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.

Bladder cancer is a common malignancy with high invasion and poor clinical outcome. Intratumor heterogeneity (ITH) is linked to cancer progression and metastasis and high ITH can accelerate tumor evolution. Our objective is to develop an ITH-related signature (IRS) for predicting clinical outcome and immunotherapy benefit in bladder cancer. Integrative procedure containing ten machine learning methods was applied to develop an IRS with The Cancer Genome Atlas (TCGA), gene series expression (GSE)13507, GSE31684, GSE32984 and GSE48276 datasets. To evaluate the performance of IRS in predicting the immunotherapy benefit, we also used several predicting scores and three immunotherapy datasets, including GSE91061, GSE78220 and IMvigor210. The predicting model constructed with Enet (alpha =0.2) algorithm had a highest average C-index of 0.69, which was suggested as the optimal IRS. As an independent risk factor for bladder cancer, IRS had a powerful performance in predicting the overall survival (OS) rate of patients, with an area under curve of 1-, 3- and 5-year receiver operating characteristic (ROC) curve being 0.744, 0.791 and 0.816 in TCGA dataset. Bladder cancer patients with low IRS score presented with a higher level of immune-activated cells, cytolytic function and T cell co-stimulation. We also found a lower tumor immune dysfunction and exclusion (TIDE) score, lower immune escape score, higher programmed cell death protein 1 (PD-1) & cytotoxic T-lymphocyte associated protein 4 immunophenoscore, higher tumor mutation burden (TMB) score, higher response rate and better prognosis in bladder cancer with low IRS score. Bladder cancer cases with high IRS score had a higher half maximal inhibitory concentration value of common chemotherapy and targeted therapy regimens. The current study developed an optimal IRS for bladder cancer patients, which acted as an indicator for predicting prognosis, stratifying risk and guiding treatment for bladder cancer patients. Further analysis should be focused on the exploration the differentially expressed genes (DEGs) and related underlying mechanism mediating the development of bladder cancer in different IRS score group.