Extravesical tumor relapse in patients with superficial bladder tumors

PURPOSE

To define the incidence of extravesical urothelial tumors among patients with high-risk superficial bladder tumors.

PATIENTS AND METHODS

Three hundred seven patients with multiple recurrent papillary and in situ carcinomas of the bladder were treated with transurethral resection and intravesical bacillus Calmette Guérin (BCG) therapy and monitored for a median of 12 years (range, 10 to 18). Extravesical tumors were detected during investigation of a positive urine cytology after no tumor was found in the bladder.

RESULTS

Among 307 patients, 78 (25%) developed tumors in the upper urinary tract (UTT). Of 251 men, 61 (24%) had tumors detected in the prostatic urethra or ducts (T4p). The median times to detection of an UTT or prostatic epithelial tumor were 56 months and 11 months, respectively, and 32% of the UTT and 44% of the T4p relapses were lethal.

CONCLUSION

Patients with high-risk superficial bladder tumors who are treated successfully by a bladder-sparing strategy are at increased risk for tumor relapse that involves extravesical mucosa.

The potential for reintroduction of tumor cells during intraoperative blood salvage: reduction of risk with use of the RC-400 leukocyte depletion filter

OBJECTIVES

Intraoperative autotransfusion of shed blood is widely utilized in surgery. However, several studies have raised concern about the transmission of tumor cells during oncologic procedures. We compared the ability of a leukocyte depletion filter (RC-400; LDF) to a standard red blood cell filter (SBF) to remove tumor cells derived from urologic malignancies.

METHODS

Cells were suspended in media and passed through a SBF or a LDF. The filtrate was evaluated for the presence of viable cells utilizing the trypan blue exclusion method as well as cell culture. In a second experiment, cells were suspended in fresh bovine blood and processed through a cell saver apparatus followed by filtration with either a SBF or a LDF. Aliquots were cultured after admixture with blood, after processing, and after filtration.

RESULTS

The LDF was able to remove tumor cells completely, as demonstrated by both counting with the trypan blue exclusion test and by cell culture. In contrast, admixture with blood processing through the cell saver apparatus nor a standard red blood cell filter removed these cells.

CONCLUSIONS

Tumor cells derived from urologic malignancies are easily removed with a LDF but not with a SBF. Filtration of blood salvaged at the time of uro-oncologic surgery with a LDF but not with a SBF reduces the potential for reinfusion of viable tumor cells.

How Well Do Artificial Intelligence Chatbots Respond to the Top Search Queries About Urological Malignancies?

Artificial intelligence (AI) chatbots are becoming a popular source of information but there are limited data on the quality of information on urological malignancies that they provide. Our objective was to characterize the quality of information and detect misinformation about prostate, bladder, kidney, and testicular cancers from four AI chatbots: ChatGPT, Perplexity, Chat Sonic, and Microsoft Bing AI. We used the top five search queries related to prostate, bladder, kidney, and testicular cancers according to Google Trends from January 2021 to January 2023 and input them into the AI chatbots. Responses were evaluated for quality, understandability, actionability, misinformation, and readability using published instruments. AI chatbot responses had moderate to high information quality (median DISCERN score 4 out of 5, range 2-5) and lacked misinformation. Understandability was moderate (median Patient Education Material Assessment Tool for Printable Materials [PEMAT-P] understandability 66.7%, range 44.4-90.9%) and actionability was moderate to poor (median PEMAT-P actionability 40%, range 0-40%The responses were written at a fairly difficult reading level. AI chatbots produce information that is generally accurate and of moderate to high quality in response to the top urological malignancy-related search queries, but the responses lack clear, actionable instructions and exceed the reading level recommended for consumer health information. PATIENT SUMMARY: Artificial intelligence chatbots produce information that is generally accurate and of moderately high quality in response to popular Google searches about urological cancers. However, their responses are fairly difficult to read, are moderately hard to understand, and lack clear instructions for users to act on.

Proteomics and peptidomics: moving toward precision medicine in urological malignancies

Urological malignancies are a major cause of morbidity and mortality worldwide. Advances in early detection, diagnosis, prognosis and prediction of treatment response can significantly improve patient care. Proteomic and peptidomic profiling studies are at the center of kidney, prostate and bladder cancer biomarker discovery and have shown great promise for improved clinical assessment. Mass spectrometry (MS) is the most widely employed method for proteomic and peptidomic analyses. A number of MS platforms have been developed to facilitate accurate identification of clinically relevant markers in various complex biological samples including tissue, urine and blood. Furthermore, protein profiling studies have been instrumental in the successful introduction of several diagnostic multimarker tests into the clinic. In this review, we will provide a brief overview of high-throughput technologies for protein and peptide based biomarker discovery. We will also examine the current state of kidney, prostate and bladder cancer biomarker research as well as review the journey toward successful clinical implementation.

Prognostic role of neutrophil-to-lymphocyte ratio (NLR) in urological tumors: an umbrella review of evidence from systematic reviews and meta-analyses

BACKGROUND

Neutrophil-to-lymphocyte ratio (NLR) has been studied as a biomarker for cancer prognosis, predicting survival in many tumors. The aim of this umbrella review was to combine the results from all systematic reviews and meta-analyses related to the prognostic role of the NLR in patients with urological tumors.

METHODS

A PubMed, Scopus, Embase and Cochrane search was undergone from inception through September 2020 for systematic reviews and meta-analyses investigating the prognostic value of NLR in urological tumors, subdivided into prostate cancer, renal cell carcinoma, urothelial bladder and upper tract carcinomas PROSPERO (CRD42020216310).

RESULTS

The results have shown, with a high level of evidence, that an elevated NLR predicts worse overall survival (OS), progression-free survival (PFS) and relapse-free survival (RFS) in prostate cancer, worse OS, PFS and RFS in renal cell carcinoma, worse OS, PFS, RFS and cancer-specific survival (CSS) in muscle invasive bladder cancer, worse PFS and RFS in non-muscle invasive bladder cancer, and worse OS, PFS, RFS and CSS in urothelial upper tract carcinoma.

CONCLUSION

NLR has a significant prognostic value in urological tumors and should be included in prognostic scores of these cancers.

Endocrine-disrupting effects of bisphenols on urological cancers

Bisphenols are endocrine-disrupting chemicals found in a broad range of products that can modulate hormonal signalling pathways and various other biological functions. These compounds can bind steroid receptors, e.g. estrogen and androgen receptors, expressed by numerous cells and tissues, including the prostate and the bladder, with the potential to alter their homeostasis and normal physiological functions. In the past years, exposure to bisphenols was linked to cancer progression and metastasis. As such, recent pieces of evidence suggest that endocrine-disrupting chemicals can lead to the development of prostate cancer. Moreover, bisphenols are found in the urine of the wide majority of the population. They could potentially affect the bladder's normal physiology and cancer development, even if the bladder is not recognized as a hormone-sensitive tissue. This review will focus on prostate and bladder malignancies, two urological cancers that share standard carcinogenic processes. The description of the underlying mechanisms involved in cell toxicity, and the possible roles of bisphenols in the development of prostate and bladder cancer, could help establish the putative roles of bisphenols on public health.

Pretreatment Risk Stratification for Endoscopic Kidney-sparing Surgery in Upper Tract Urothelial Carcinoma: An International Collaborative Study

BACKGROUND

Several groups have proposed features to identify low-risk patients who may benefit from endoscopic kidney-sparing surgery in upper tract urothelial carcinoma (UTUC).

OBJECTIVE

To evaluate standard risk stratification features, develop an optimal model to identify ≥pT2/N+ stage at radical nephroureterectomy (RNU), and compare it with the existing unvalidated models.

DESIGN, SETTING, AND PARTICIPANTS

This was a collaborative retrospective study that included 1214 patients who underwent ureterorenoscopy with biopsy followed by RNU for nonmetastatic UTUC between 2000 and 2017.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We performed multiple imputation of chained equations for missing data and multivariable logistic regression analysis with a stepwise selection algorithm to create the optimal predictive model. The area under the curve and a decision curve analysis were used to compare the models.

RESULTS AND LIMITATIONS

Overall, 659 (54.3%) and 555 (45.7%) patients had ≤pT1N0/Nx and ≥pT2/N+ disease, respectively. In the multivariable logistic regression analysis of our model, age (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.0-1.03, p = 0.013), high-grade biopsy (OR 1.81, 95% CI 1.37-2.40, p < 0.001), biopsy cT1+ staging (OR 3.23, 95% CI 1.93-5.41, p < 0.001), preoperative hydronephrosis (OR 1.37 95% CI 1.04-1.80, p = 0.024), tumor size (OR 1.09, 95% CI 1.01-1.17, p = 0.029), invasion on imaging (OR 5.10, 95% CI 3.32-7.81, p < 0.001), and sessile architecture (OR 2.31, 95% CI 1.58-3.36, p < 0.001) were significantly associated with ≥pT2/pN+ disease. Compared with the existing models, our model had the highest performance accuracy (75% vs 66-71%) and an additional clinical net reduction (four per 100 patients).

CONCLUSIONS

Our proposed risk-stratification model predicts the risk of harboring ≥pT2/N+ UTUC with reliable accuracy and a clinical net benefit outperforming the current risk-stratification models.

PATIENT SUMMARY

We developed a risk stratification model to better identify patients for endoscopic kidney-sparing surgery in upper tract urothelial carcinoma.

Urinary markers for bladder cancer diagnosis: A review of current status and future challenges

Bladder cancer is a common urological cancer with a high recurrence rate that requires long-term follow-up, and early detection positively affects prognosis. To date, the initial diagnosis and follow-up for bladder cancer rely on cystoscopy, which is an invasive and expensive procedure. Therefore, urinary markers for the detection of bladder cancer have attracted research attention for decades to reduce unnecessary cystoscopies. Urine, which is in continuous contact with bladder cancer, is considered a suitable fluid for providing tumor information. Urinary cytology is the only widely used urinary marker in clinical practice; however, it has poor sensitivity for low-grade tumors; indicating the need for novel urinary markers. Considerable research has been conducted on this topic over the years, resulting in a complex landscape with a wide range of urinary markers, including protein-, exfoliated cell-, RNA-, DNA-, and extracellular vesicle-based markers. Although some of these markers have been approved by the U.S. Food and Drug Administration and are commercially available, their use in clinical practice is limited. To facilitate clinical application, potential urinary markers must withstand prospective clinical trials and be easy for patients and clinicians to understand and utilize in a clinical context. This review provides a comprehensive overview of currently available and recently reported promising urinary markers for bladder cancer. Additionally, the challenges and the prospects of these urinary markers for clinical implementation in bladder cancer treatment were discussed.

Validation of the preoperative controlling nutritional status score as an independent predictor in a large Chinese cohort of patients with upper tract urothelial carcinoma

BACKGROUND

Pretreatment controlling nutritional status (CONUT) score is a novel index which was used to predict outcomes in cancer patients. We aim to explore the prognostic significance of CONUT score in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU).

PATIENTS AND METHODS

A total of 662 UTUC patients between 2004 and 2016 were retrospectively analyzed. Patients were categorized into three groups based on CONUT score (Normal: 0-1; Light: 2-4; Moderate/severe: 5-12). Associations of CONUT score with oncological outcomes were analyzed using Logistic and Cox regression analysis. Harrell concordance index was used to assess the predictive accuracy of the multivariate models. Subgroup analyses were conducted according to tumor grade and stage.

RESULTS

The median follow-up duration was 41 months. Multivariate Logistic analysis showed that high CONUT score was independently associated with high-grade disease, high pT stage, lymphovascular invasion, sessile carcinoma, variant histology, and positive surgical margins (each P < 0.05). Multivariate analysis demonstrated that CONUT score 5-12 was an independent factor for worse cancer-specific survival (CSS, hazard ratio [HR]:2.39, 95% confidence interval [CI] 1.55-3.68, P < 0.0001), disease recurrence-free-survival (RFS, HR: 1.80, 95% CI 1.24-2.60, P = 0.002), and overall survival (OS, HR: 2.26, 95% CI 1.53-3.34, P < 0.0001). The estimated c-index of the multivariate models for CSS, RFS, and OS increased from 0.755, 0.715 and 0.745 to 0.772, 0.723, and 0.756 when CONUT score supplemented. Subgroup analyses showed that especially in patients with high-grade carcinoma and advanced stage (≥pT3), higher CONUT score predicts decreased CSS, RFS, and OS (all P < 0.05).

CONCLUSION

Preoperative CONUT score is a negative independent prognostic indicator for both pathologic and survival outcomes in UTUC, especially in those with high-grade carcinoma and advanced stage. Adding this parameter into our clinical prediction model is appropriate so as to improve its predictive accuracy.

Causal associations between gut microbiota and urological tumors: a two-sample mendelian randomization study

BACKGROUND

Dysbiosis of gut microbiota has been linked to numerous diseases, including cancer. The unique role of gut microbiota in urological tumors is gaining prominence. However, it is still controversial whether the dysbiosis of gut microbiota should be one of the etiological factors of bladder cancer (BCa), prostate cancer (PCa) or kidney cancer (KCa).

MATERIALS AND METHODS

The microbiome genome-wide association study (GWAS) from the MiBioGen consortium (18,340 samples of 24 population-based cohorts) was utilized as the exposure data. Additionally, outcomes data (951 BCa cases and 307,092 controls; 1,631 KCa cases and 238,678 controls; 79,148 PCa cases and 61,106 controls) were extracted from the GWAS of the FinnGen and PRACTICAL consortia. To detect the potential causative bacterial traits for BCa, PCa, and KCa, a two-sample Mendelian randomization (MR) analysis was performed, employing the inverse-variance weighted or Wald ratio method. Sensitivity analyses were subsequently conducted to explore the robustness of the primary results. Finally, the reverse MR analysis was undertaken to mitigate the reverse causation.

RESULTS

This study suggested that Bifidobacterium (p = 0.030), Actinobacteria (p = 0.037 for phylum, 0.041 for class), and Ruminococcustorques group (p = 0.018), exhibited an association with an increased risk of BCa using either the inverse-variance weighted or Wald ratio method. By utilizing the Wald ratio method, Allisonella (p = 0.004, p = 0.038) was associated with a decreased risk of BCa and PCa, respectively. Furthermore, Ruminococcustorques group (p = 0.028) and Erysipelatoclostridium (p = 0.048) were causally linked to an elevated risk of KCa.

CONCLUSIONS

This MR study supports that genetically predicted gut microbiota is causally related to BCa, PCa and KCa. Additionally, distinct bacterial traits are identified in relation to each tumor type.

What's new in WHO fifth edition - urinary tract

The fifth edition of the WHO Blue Book on urological tumours, specifically in the bladder chapter, represents a refinement and update in the classification of bladder tumours building on the aggregate major changes made in previous editions. Progress in the molecular underpinnings of urothelial tumours, particularly with promising stratifiers for more precision-based treatment approaches, have been made. Special attention has been paid to burning questions in bladder pathology, such as grading, heterogeneous lesions, inverted tumours and substaging. The concept of neuroendocrine tumours will be explained precisely.

New prognostic model in patients with advanced urothelial carcinoma treated with second-line immune checkpoint inhibitors

BACKGROUND

Bellmunt Risk Score, based on Eastern Cooperative Oncology Group (ECOG) performance status (PS), hemoglobin levels and presence of liver metastases, is the most established prognostic algorithm for patients with advanced urothelial cancer (aUC) progressing after platinum-based chemotherapy. Nevertheless, existing algorithms may not be sufficient following the introduction of immunotherapy. Our aim was to develop an improved prognostic model in patients receiving second-line atezolizumab for aUC.

METHODS

Patients with aUC progressing after cisplatin/carboplatin-based chemotherapy and enrolled in the prospective, single-arm, phase IIIb SAUL study were included in this analysis. Patients were treated with 3-weekly atezolizumab 1200 mg intravenously. The development and internal validation of a prognostic model for overall survival (OS) was performed using Cox regression analyses, bootstrapping methods and calibration.

RESULTS

In 936 patients, ECOG PS, alkaline phosphatase, hemoglobin, neutrophil-to-lymphocyte ratio, liver metastases, bone metastases and time from last chemotherapy were identified as independent prognostic factors. In a 4-tier model, median OS for patients with 0-1, 2, 3-4 and 5-7 risk factors was 18.6, 10.4, 4.8 and 2.1 months, respectively. Compared with Bellmunt Risk Score, this model provided enhanced prognostic separation, with a c-index of 0.725 vs 0.685 and increment in c-statistic of 0.04 (p<0.001). Inclusion of PD-L1 expression did not improve the model.

CONCLUSIONS

We developed and internally validated a prognostic model for patients with aUC receiving postplatinum immunotherapy. This model represents an improvement over the Bellmunt algorithm and could aid selection of patients with aUC for second-line immunotherapy.

TRIAL REGISTRATION NUMBER

NCT02928406.

Low-Dose Extrapolation Factors Implied by Mortality and Incidence Data from the Japanese Atomic Bomb Survivor Life Span Study Data

Assessment of the effect of low dose and low-dose-rate exposure depends critically on extrapolation from groups exposed at high dose and high-dose rates such as the Japanese atomic bomb survivor data, and has often been achieved via application of a dose and dose-rate effectiveness factor (DDREF). An important component of DDREF is the factor determining the effect of extrapolation of dose, the so-called low-dose extrapolation factor (LDEF). To assess LDEF models linear (or linear quadratic) in dose are often fitted. In this report LDEF is assessed via fitting relative rate models that are linear or linear quadratic in dose to the latest Japanese atomic bomb survivor data on solid cancer, leukemia and circulatory disease mortality (followed from 1950 through 2003) and to data on solid cancer, lung cancer and urinary tract cancer incidence. The uncertainties in LDEF are assessed using parametric bootstrap techniques. Analysis is restricted to survivors with <3 Gy dose. There is modest evidence for upward curvature in dose response in the mortality data. For leukemia and for all solid cancer excluding lung, stomach and breast cancer there is significant curvature (P < 0.05). There is no evidence of curvature for circulatory disease (P > 0.5). The estimate of LDEF for all solid cancer mortality is 1.273 [95% confidence intervals (CI) 0.913, 2.182], for all solid cancer mortality excluding lung cancer, stomach cancer and breast cancer is 2.183 (95% CI 1.090, >100) and for leukemia mortality is 11.447 (95% CI 2.390, >100). For stomach cancer mortality LDEF is modestly raised, 1.077 (95% CI 0.526, >100), while for lung cancer, female breast cancer and circulatory disease mortality the LDEF does not much exceed 1. LDEF for solid cancer incidence is 1.186 (95% CI 0.942, 1.626) and for urinary tract cancer is 1.298 (95% CI <0, 7.723), although for lung cancer LDEF is not elevated, 0.842 (95% CI 0.344, >100).

Estimation of Oncologic Surgery Case Volume Before and After the COVID-19 Pandemic in France

IMPORTANCE

COVID-19 has had a major effect on health care activities, especially surgery. At first, comparisons were proposed using 2019 activities as the highest standard. However, while such an approach might have been suitable during the first months of the pandemic, this might no longer be the case for a longer period.

OBJECTIVE

To examine approaches that may better assess the use of cancer surgeries.

DESIGN, SETTING, AND PARTICIPANTS

In a cross-sectional design, the nationwide French hospital facility data (Medicalised Information System Program) were used to assess cancer surgery for 6 cancer site categories in adults from January 1, 2010, to December 31, 2021.

EXPOSURE

Estimated cancer surgery activity during the COVID-19 pandemic.

MAIN OUTCOMES AND MEASURES

Three models were proposed to assess the expected number of surgical procedures between 2020 and 2021 and make a comparison with those observed in earlier years.

RESULTS

In France, cancer removal surgeries account for approximately 7000 hospitalizations per year for liver cancer; 4000 for pancreatic cancer; 7700 for ovarian cancer; 1300 for esophagus cancer; 23 000 for ear, nose, and throat (ENT) cancer; 78 000 for breast cancer; and 16 600 for thoracic cancers. For most cancer sites, the number of surgical procedures increased from 2010 to 2019: liver, 14%; pancreas, 38%; ovary, 14%; esophagus, 18%; breast, 8%; and thoracic, 29%. Assuming stability, these values underestimate the gap in activity observed in 2020-2021. For other procedures, a decrease was observed: stomach, -10%, and ENT, -6%. Assuming stability, these values overestimate the gap in activity observed in 2020-2021. At the end of 2021, according to the model, the gap in activity observed in 2020-2021 was estimated at between -1.4% and 1.7% for breast, -6.6% and -7.3% for thoracic, -3.1% and -2.5% for ovarian, -4.2% and -1.7% for pancreas, -6.7% and 5.9% for stomach, and -13.0% and -13.9% for esophageal cancers. For ENT, liver, and urologic cancers, because the trend was different before and after 2015, it was necessary to opt for modeling using only the most recent period. The cumulative gap in activity observed in 2020-2021 was estimated at -1.0% for ENT cancers, -5.3% for liver cancers, and -2.9% for urologic cancers.

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that short- and medium-term trends must be considered to estimate COVID-19 cancer surgery activities. Breast cancer is the site for which the activity showed the smallest decrease during the pandemic, with almost full recovery in 2021.