How do we manage high-grade T1 bladder cancer? Conservative or aggressive therapy?

Change in the neutrophil-lymphocyte ratio may predict early recurrence in operated bladder cancer

BACKGROUND

Recurrence develops in 50% of operated bladder cancer patients. It is important to detect recurrence in advance, and there is no prognostic reliable biomarker for bladder cancer.

OBJECTIVE

The aim of this study is to show that changes in hematological parameters before radiological imaging can predict recurrence.

METHODS

We performed a retrospective cohort study of patients undergoing radical cystectomy for urothelial carcinoma of the bladder identified using our institutional database (2010-2022). Disease-free survival (DFS) was evaluated as relapse or death due to any cause. Kaplan-Meier analysis was used for DFS according to the follow-up period. DFS was calculated in two groups neutrophil-lymphocyte ratio (NLR) < 3 and NLR ≥ 3. Log-rank test was used for comparison between groups and p < 0.05 was considered statistically significant.

RESULTS

In the study, 91 patients were examined. The median age was 61.0 (34-79). 57.1% of the patients were T (1-2) and 42.9% were T (3-4). The lymph node (LN) was negative in 78% and positive in 22%. Median follow-up time and DFS were 53.4 months and 54%, respectively. The median NLR was 2.8 (0.8-8.7). For DFS, there was a significant difference according to age, T stage, and LN status (p: 0.048, 0.019, and 0.040). There was no significant difference in the NLR in terms of DFS at the time of diagnosis (p: 0.654). In follow-ups; While there was no difference in the NLR for DFS 12 months before recurrence (p: 0.231), there was a significant difference 6 months before the relapse and at the time of recurrence (p: 0.023 and 0.031).

CONCLUSION

The change in the NLR before radiological recurrence in bladder cancer is significant in predicting recurrence. Prospective and multi-center research is needed to confirm our findings.

COL6A1 expression as a potential prognostic biomarker for risk stratification of T1 high grade bladder cancer: Unveiling the aggressive nature of a distinct non-muscle invasive subtype

PURPOSE

T1 high grade (T1HG) bladder cancer (BC) is a type of non-muscle invasive BC (NMIBC) that is recognized as an aggressive subtype with a heightened propensity for progression. Current risk stratification methods for NMIBC rely on clinicopathological indicators; however, these approaches do not adequately capture the aggressive nature of T1HG BC. Thus, new, more accurate biomarkers for T1HG risk stratification are needed. Here, we enrolled three different patient cohorts and investigated expression of collagen type VI alpha 1 (COL6A1), a key component of the extracellular matrix, at different stages and grades of BC, with a specific focus on T1HG BC.

MATERIALS AND METHODS

Samples from 298 BC patients were subjected to RNA sequencing and real-time polymerase chain reaction.

RESULTS

We found that T1HG BC and muscle invasive BC (MIBC) exhibited comparable expression of COL6A1, which was significantly higher than that by other NMIBC subtypes. In particular, T1HG patients who later progressed to MIBC had considerably higher expression of COL6A1 than Ta, T1 low grade patients, and patients that did not progress, highlighting the aggressive nature and higher risk of progression associated with T1HG BC. Moreover, Cox and Kaplan-Meier survival analyses revealed a significant association between elevated expression of COL6A1 and poor progression-free survival of T1HG BC patients (multivariate Cox hazard ratio, 16.812; 95% confidence interval, 3.283-86.095; p=0.001 and p=0.0002 [log-rank test]).

CONCLUSIONS

These findings suggest that COL6A1 may be a promising biomarker for risk stratification of T1HG BC, offering valuable insight into disease prognosis and guidance of personalized treatment decisions.

Effects of intravenous chemotherapy after TURBT for high-risk nonmuscle invasive bladder cancer: results of a retrospective study

PURPOSE

This study compared the efficacy and safety of intravenous chemotherapy combined with intravesical chemotherapy versus intravesical chemotherapy alone for high-risk nonmuscle invasive bladder cancer (HRNMIBC) patients after transurethral resection of the bladder tumor (TURBT) surgery.

METHODS

A retrospective analysis was performed on 349 HRNMIBC cases admitted to TangDu hospital between January 2014 and June 2019. After TURBT, 262 patients received intravesical chemotherapy alone, whereas 87 patients underwent intravesical chemotherapy in combination with intravenous chemotherapy. The recurrence rate and progression rate were assessed by Chi-square test, the prognostic factors for tumor recurrence were predicted by univariable and multivariable Cox hazards analyses, recurrence-free survival (RFS) and progression-free survival (PFS) were calculated using the Kaplan-Meier method.

RESULTS

In this study, the recurrence rate was 24.7% (19/77) in the intravenous chemotherapy combined group and 41.6% (102/245) in the intravesical chemotherapy group, while the progression rate was 6.5% (5/77) and 14.3% (35/245) in the two groups respectively. The two groups differed significantly in recurrence rate (p = 0.007) while the progression rate did not show a significant difference (p = 0.071). Multivariable analyses revealed that additional intravenous chemotherapy treatment was an independent prognostic factor for tumor recurrence in the cohort (hazard ratio [HR], 0.495, 95% confidence interval [CI], 0.275-0.892, p = 0.019). Kaplan-Meier curves showed significant differences in RFS and PFS between the two groups, with a log-rank P value of p < 0.005 and p = 0.045, respectively. Grade 3/4 toxicity was reported in 2 of 77 patients in the intravenous chemotherapy combined group, including nausea/vomiting 1.3% (1/77) and hypoleukemia 1.3% (1/77).

CONCLUSION

Intravenous chemotherapy of gemcitabine and cisplatin combined with intravesical chemotherapy after TURBT can effectively reduce the postoperative recurrence rate, most toxicities were minor and reversible, and it may be considered as a new choice for HRNMIBC patients.

Novel potential urinary biomarkers for effective diagnosis and prognostic evaluation of high-grade bladder cancer

Background

High-grade bladder cancer (HGBC) has a higher malignant potential, recurrence and progression rate compared to low-grade phenotype. Its early symptoms are often vague, making non-invasive diagnosis using urinary biomarkers a promising approach.

Methods

The gene expression data from urine samples of patients with HGBC was extracted from the GSE68020 dataset. The clinical information and gene expression data in tumor tissues of HGBC patients were obtained from The Cancer Genome Atlas (TCGA) database. Multivariate Cox analysis was used to predict the optimal risk model. The protein-protein interaction (PPI) analysis was performed via the Search Tool for the Retrieval of Interacting Genes (STRING) database and visualized using Cytoscape. Overall survival (OS) was evaluated in the Gene Expression Profiling Interactive Analysis (GEPIA) online platform. Competing endogenous RNA (ceRNA) network was also visualized using Cytoscape. The expression levels of specific genes were assessed through quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR). Moreover, co-expressed genes and potential biological functions related to specific genes were explored based on the Cancer Cell Line Encyclopedia (CCLE) database.

Results

A total of 560 differentially expressed genes (DEGs) were identified when comparing the urine sediment samples from HGBC patients with the benign ones. Using these urinary DEGs and the clinical information of HGBC patients, we developed an optimal risk model consisting of eight genes to predict the patient outcome. By integrating the node degree values in the PPI network with the expression changes in both urine and tissue samples, eighteen hub genes were selected out. Among them, DKC1 and SNRPG had the most prominent comprehensive values, and EFTUD2, LOR and EBNA1BP2 were relevant to a worse OS in bladder cancer patients. The ceRNA network of hub genes indicated that DKC1 may be directly regulated by miR-150 in HGBC. The upregulation of both SNRPG and DKC1 were detected in HGBC cells, which were also observed in various tumor tissues and malignant cell lines, displaying high correlations with other hub genes.

Conclusions

Our study may provide theoretical basis for the development of effective non-invasive detection and treatment strategies, and further research is necessary to explore the clinical applications of these findings.

A Molecular Signature Determines the Prognostic and Therapeutic Subtype of Non-Muscle-Invasive Bladder Cancer Responsive to Intravesical Bacillus Calmette-Guérin Therapy

Non-muscle-invasive bladder cancer (NMIBC) is clinically heterogeneous; thus, many patients fail to respond to treatment and relapse. Here, we identified a molecular signature that is both prognostic and predictive for NMIBC heterogeneity and responses to Bacillus Calmette-Guérin (BCG) therapy. Transcriptomic profiling of 948 NMIBC patients identified a signature-based subtype predictor, MSP888, along with three distinct molecular subtypes: DP.BCG+ (related to progression and response to BCG treatment), REC.BCG+ (related to recurrence and response to BCG treatment), and EP (equivocal prognosis). Patients with the DP.BCG+ subtype showed worse progression-free survival but responded to BCG treatment, whereas those with the REC.BCG+ subtype showed worse recurrence-free survival but responded to BCG treatment. Multivariate analyses revealed that MSP888 showed independent clinical utility for predicting NMIBC prognosis (each p = 0.001 for progression and recurrence, respectively). Comparative analysis of this classifier and previously established molecular subtypes (i.e., Lund taxonomy and UROMOL class) revealed that a great proportion of patients were similar between subtypes; however, the MSP888 predictor better differentiated biological activity or responsiveness to BCG treatment. Our data increase our understanding of the mechanisms underlying the poor prognosis of NMIBC and the effectiveness of BCG therapy, which should improve clinical practice and complement other diagnostic tools.

Development and Validation of a Nomogram to Predict Lymph Node Metastasis in Patients With T1 High-Grade Urothelial Carcinoma of the Bladder

Purpose

This study aims to develop and validate a nomogram to predict lymph node (LN) metastasis preoperatively in patients with T1 high-grade urothelial carcinoma.

Methods

We retrospectively evaluated the data of 2,689 patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy (RC) and bilateral lymphadenectomy in two medical centers. Eventually, 412 patients with T1 high-grade urothelial carcinoma were enrolled in the primary cohort to develop a prognostic nomogram designed to predict LN status. An independent validation cohort (containing 783 consecutive patients during the same period) was subjected to validate the predicting model. Binary regression analysis was used to develop the predicting nomogram. We assessed the performance of the nomogram concerning its clinical usefulness, calibration, and discrimination.

Results

Overall, 69 (16.75%), and 135 (17.24%) patients had LN metastasis in the primary cohort and external validation cohort, respectively. The final nomogram included information on tumor number, tumor size, lymphovascular invasion (LVI), fibrinogen, and monocyte-to-lymphocyte ratio (MLR). The nomogram showed good predictive accuracy and calibration with a concordance index in the primary cohort of 0.853. The application of the nomogram in the external validation cohort still gave good discrimination (C-index, 0.845) and good calibration. The analysis of the decision curve shows that the nomogram has clinical application value.

Conclusion

The nomogram that incorporated the tumor number, tumor size, LVI, fibrinogen, and MLR showed favorable predictive accuracy for LN metastasis. It may be conveniently used to predict LN metastasis in patients with T1 high-grade urothelial carcinoma and be helpful in guiding treatment decisions.

The therapeutic and prognostic implications of molecular biomarkers in urothelial carcinoma

Urothelial cell carcinoma (UCC) of the bladder and upper urinary tract is a heterogeneous disease with distinct biologic features resulting in different clinical behaviors. Bladder cancer (BC) is classified into non-muscle invasive BC (NMIBC) and muscle invasive BC (MIBC). NMIBC is associated with high recurrence rates and risk of progression to invasive disease, whereas MIBC is complicated by systemic recurrence after radical cystectomy because of the limited efficacy of available therapies. UCC of the upper urinary tract (UUT-UCC) is a rare but aggressive urologic cancer characterized by multifocality, local recurrence, and metastasis. Conventional histopathologic evaluation of UCC, including tumor stage and grade, cannot accurately predict the behavior of BC and UUT-UCC. Recent clinical and preclinical studies aimed at understanding the molecular landscape of UCC have provided insight into molecular subtyping, inter- or intratumoral heterogeneity, and potential therapeutic targets. Combined analysis of molecular markers and standard pathological features may improve risk stratification and help monitor tumor progression and treatment response, ultimately improving patient outcomes. This review discusses prognostic and therapeutic biomarkers for BC and UUT-UCC, and describes recent advances in molecular stratification that may guide prognosis, patient stratification, and treatment selection.

The role and function of PPARγ in bladder cancer

Peroxisome proliferator-activated receptor gamma (PPARγ), a member of the nuclear receptor superfamily, participates in multiple physiological and pathological processes. Extensive studies have revealed the relationship between PPARγ and various tumors. However, the expression and function of PPARγ in bladder cancer seem to be controversial. It has been demonstrated that PPARγ affects the occurrence and progression of bladder cancer by regulating proliferation, apoptosis, metastasis, and reactive oxygen species (ROS) and lipid metabolism, probably through PPARγ-SIRT1 feedback loops, the PI3K-Akt signaling pathway, and the WNT/β-catenin signaling pathway. Considering the frequent relapses after chemotherapy, some researchers have focused on the relationship between PPARγ and chemotherapy sensitivity in bladder cancer. Moreover, the feasibility of PPARγ ligands as potential therapeutic targets for bladder cancer has been uncovered. Taken together, this review summarizes the relevant literature and our findings to explore the complicated role and function of PPARγ in bladder cancer.

A novel tumor suppressing gene, ARHGAP9, is an independent prognostic biomarker for bladder cancer

Screening for genes or markers relevant to bladder cancer (BC) tumorigenesis and progression is of vital clinical significance. The present study used reverse-transcription quantitative PCR reaction assays to examine the expression of mRNA encoding Rho GTPase-activating protein 9 (ARHGAP9) in BC tissue samples and to determine whether ARHGAP9 is an independent prognostic biomarker for non-muscle invasive BC (NMIBC) and muscle invasive BC (MIBC). The results revealed that the downregulation of ARHGAP9 expression in the tissue of patients with NMIBC or MIBC was significantly associated with a poor prognosis. In patients with NMIBC, a high expression of ARHGAP9 was significantly associated with prolonged recurrence-free survival, whereas in MIBC patients, it was significantly associated with an increased progression-free and cancer-specific survival. The risk of cancer-specific death was 2.923 times higher (95% confidence interval, 1.192–7.163) when ARHGAP9 levels were decreased. In conclusion, lower expressions of ARHGAP9 correlated with BC prognosis, indicating that it may be a useful marker for guiding treatment application.

A Pre-operative Nomogram for Prediction of Lymph Node Metastasis in Bladder Urothelial Carcinoma

The status of lymph node (LN) metastases plays a decisive role in the selection of surgical procedures and post-operative treatment. Several histopathologic features, known as predictors of LN metastasis, are commonly available post-operatively. Medical imaging improved pre-operative diagnosis, but the results are not fully satisfactory due to substantial false positives. Thus, a reliable and robust method for pre-operative assessment of LN status is urgently required. We developed a prediction model in a training set from the TCGA-BLCA cohort including 196 bladder urothelial carcinoma samples with confirmed LN metastasis status. Least absolute shrinkage and selection operator (LASSO) regression was harnessed for dimension reduction, feature selection, and LNM signature building. Multivariable logistic regression was used to develop the prognostic model, incorporating the LNM signature, and a genomic mutation of MLL2, and was presented with a LNM nomogram. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Internal validation was evaluated by the testing set from the TCGA cohort and independent validation was assessed by two independent cohorts. The LNM signature, which consisted of 48 selected features, was significantly associated with LN status (p < 0.005 for both the training and testing sets of the TCGA cohort). Predictors contained in the individualized prediction nomogram included the LNM signature and MLL2 mutation status. The model demonstrated good discrimination, with an area under the curve (AUC) of 98.7% (85.3% for testing set) and good calibration with p = 0.973 (0.485 for testing set) in the Hosmer-Lemeshow goodness of fit test. Decision curve analysis demonstrated that the LNM nomogram was clinically useful. This study presents a pre-operative nomogram incorporating a LNM signature and a genomic mutation, which can be conveniently utilized to facilitate pre-operative individualized prediction of LN metastasis in patients with bladder urothelial carcinoma.

Androgen Suppression Therapy Is Associated with Lower Recurrence of Non-muscle-invasive Bladder Cancer

BACKGROUND

The challenge of managing non-muscle-invasive bladder cancer (NMIBC) is its high recurrence rate. Clinical investigations have begun to explore the role of androgen suppression as an adjunct to bladder cancer (BC) treatment.

OBJECTIVE

To examine the effect of androgen suppression therapy (AST) on recurrence and progression rate of risk-stratified NMIBC.

DESIGN, SETTING, AND PARTICIPANTS

Male patients with NMIBC were identified retrospectively from a US institutional database between 2001 and 2017. AST included 5α-reductase inhibitor, gonadotropin-releasing hormone agonist, and antiandrogen. Patients who were exposed to AST prior to documented recurrence/progression were included in the treatment arm. BC was risk stratified to investigate the differential response to AST.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Hazard ratios (HRs) for NMIBC recurrence and progression were estimated using Cox proportional hazards multivariate regression models with stepwise method. Recurrence-free survival (RFS) and progression-free survival (PFS) were compared between groups with and without AST.

RESULTS AND LIMITATIONS

We identified a total of 274 males with a median follow-up period of 3.1 yr (interquartile range [IQR] 1.5-5.2). Thirty-six patients were exposed to AST with a median duration of 1.7 yr (IQR 0.7-2.6). AST was associated with a lower risk of recurrence (HR 0.53, 95% confidence interval 0.30-0.88) as well as improved RFS (p =  0.014). However, no significant reduction of progression or improvement of PFS (p =  0.23) was found with AST. After risk stratification, all five patients who progressed in the AST cohort had high-risk disease on initial transurethral resection (TUR), whereas no patients with low/intermediate-risk disease progressed on AST. Limitations of the study include nonstandardized initiation of AST in relation to initial TUR, lack of androgen level quantification, and small sample size in the treatment arm.

CONCLUSIONS

In this retrospective, single-institution study, AST was associated with a lower risk of recurrence in NMIBC. No significant association between AST and progression was found. Further investigation is warranted to define the role of AST as an adjunctive therapy for NMIBC.

PATIENT SUMMARY

Non-muscle-invasive bladder cancer is a highly recurrent disease that often requires patients to undergo repeated surgical treatments. This single-institution report suggests that medical suppression of androgen may be a potential preventive therapy to reduce recurrence in certain patients.

Is the extirpative surgery for primary tumor helpful for the patients with metastatic urothelial cancer at the time of diagnosis?

The stagnant mortality rates for metastatic urothelial cancer (UC) have provoked efforts to find novel treatments. To test the utility of the extirpative surgery for primary tumor as an option for these patients, we investigated the perioperative and oncologic outcomes of surgery for primary tumors in metastatic UC patients.We reviewed the medical records of 130 metastatic UC patients (bladder: 88, upper tract UC: 42) at diagnosis from November 2005 to November 2016. A total of 56 patients (surgery group) underwent chemotherapy with extirpative surgery for the primary tumor, and 74 patients (non-surgery group) received chemotherapy. We evaluated perioperative outcomes, cancer-specific survival (CSS), and overall survival (OS) using Kaplan-Meier methods and factors related to OS and CSS using Cox regression models.Surgery group showed similar perioperative outcome and postoperative complications to those previously reported in UC patients without metastasis, and fewer urinary complications than non-surgery group. Surgery group showed better oncological outcomes than non-surgery group for median CSS (16.0 vs 10.0 months, P = 0.014) and median OS (14.0 vs 9.0 months, P = 0.043). Multivariate analysis showed Eastern Cooperative Oncology Group performance status and metastasis to liver as significant predictors of CSS and OS. Surgery was not related with OS, but a significant predictor of CSS.Extirpative surgery for primary tumor in metastatic UC can be feasible and it might have survival benefits, especially those patients with a tolerable general condition and no liver metastasis. In addition, LT reduces the possibility of a surgical procedure towing to urinary complications.

Molecular Progression Risk Score for Prediction of Muscle Invasion in Primary T1 High-Grade Bladder Cancer

BACKGROUND

Pathologic T1 high-grade (pT1HG) bladder cancer (BC) is characterized by a high progression rate and constitutes an important clinical challenge; however, there is no consensus on the prediction of progression in pT1HG BC. The purpose of this study was to validate previously published molecular progression risk score (MoPRS) for predicting muscle-invasive disease in pT1HG BC.

MATERIALS AND METHODS

The expression of an 8-gene progression-related classifier identified from microarray data was analyzed by real-time PCR, and the MoPRS was calculated in 121 newly recruited patients with pT1HG BC. Progression was defined as muscle invasion or metastasis.

RESULTS

Overall, the disease of 28 patients (23.1%) progressed to muscle-invasive BC during the median follow-up of 63.7 (interquartile range, 17.6-96.4) months. The MoPRS was significantly higher in 1973 World Health Organization grade 3 than grade 2 tumors (P = .004). Early development of invasive BC was more prevalent in the highest quartile MoPRS group than in the lowest to 75th percentile MoPRS groups according to Kaplan-Meier analysis. Multivariate Cox regression analysis revealed that the MoPRS was an independent predictor of invasive BC, either as a continuous variable (hazard ratio, 1.624; 95% confidence interval, 1.266-2.082; P < .001) or as a categorical variable (hazard ratio, 3.089; 95% confidence interval, 1.335-7.150; P = .008).

CONCLUSION

The MoPRS was an independent prognostic factor for identifying patients at high risk of invasive BC in patients with pT1HG BC. This scale may help identify patients who could benefit from more aggressive therapeutic intervention such as early cystectomy.

Long-term validation of a molecular progression-associated gene classifier for prediction of muscle invasion in primary non-muscle-invasive bladder cancer

Our previous study reported a clinically applicable prognostic gene classifier for primary non-muscle-invasive bladder cancer (NMIBC). The present study aimed to perform long-term validation of this classifier in the prediction of muscle-invasive disease. Previously published gene expression profiles were used from 176 patients with NMIBC with extended follow-up. Progression was defined as development of muscle invasion or metastasis, and the progression risk score was calculated using the previously developed eight-gene progression classifier. During median follow-up of 72.8 (interquartile range, 37.0-118.7) months, 26 (14.8%) patients progressed to muscle-invasive bladder cancer. The molecular progression risk score was significantly associated with clinicopathological variables, including tumor number, stage, grade and multivariate risk assessment tools (P<0.05 in each case). Multivariate Cox regression analysis revealed that molecular progression risk score was an independent predictor of development of invasive tumor, either as a continuous variable [hazard ratio (HR), 1.489; 95% confidence interval (CI), 1.216-1.823; P<0.001] or as a categorical variable (HR, 5.026; 95% CI, 1.619-15.608; P=0.005). In conclusion, the present results confirmed the clinical utility of the progression-associated gene classifier for prediction of development of muscle invasion in NMIBC. The molecular progression risk score may aid in selecting patients who could benefit from more aggressive therapeutic intervention.