Statistical consideration for clinical biomarker research in bladder cancer

The identification of a N6-methyladenosin-modifed immune pattern to predict immunotherapy response and survival in urothelial carcinoma

BACKGROUND

Dysregulation of the immune system and N6-methyladenosine (m6A) contribute to immune therapy resistance and cancer progression in urothelial carcinoma (UC). This study aims to identify immune-related molecules, that are m6A-modified, and that are associated with tumor progression, poor prognosis, and immunotherapy response.

METHODS

We identified prognostic immune genes (PIGs) using Cox analysis and random survival forest variable hunting algorithm (RSF-VH) on immune genes retrieved from the Immunology Database and Analysis Portal database (ImmPort). The RM2Target database and MeRIP-seq analysis, combined with a hypergeometric test, assessed m6A methylation in these PIGs. We analyzed the correlation between the immune pattern and prognosis, as well as their association with clinical factors in multiple datasets. Moreover, we explored the interplay between immune patterns, tumor immune cell infiltration, and m6A regulators.

RESULTS

28 PIGs were identified, of which the 10 most significant were termed methylated prognostic immune genes (MPIGs). These MPIGs were used to create an immune pattern score. Kaplan-Meier and Cox analyses indicated this pattern as an independent risk factor for UC. We observed significant associations between the immune pattern, tumor progression, and immune cell infiltration. Differential expression analysis showed correlations with m6A regulators expression. This immune pattern proved effective in predicting immunotherapy response in UC in real-world settings.

CONCLUSION

The study identified a m6A-modified immune pattern in UC, offering prognostic and therapeutic response predictions. This emphasizes that immune genes may influence tumor immune status and progression through m6A modifications.

Comparison of PIV and Other Immune Inflammation Markers of Oncological and Survival Outcomes in Patients Undergoing Radical Cystectomy

Inflammation is widely acknowledged as a significant characteristic of cancer, playing a substantial function in both the initiation and advancement of cancers. In this research, we planned to compare pan-immune inflammation markers and other well-known markers (systemic immune inflammation index and neutrophil to lymphocyte ratio) to predict prognosis in individuals treated with radical cystectomy for bladder cancer.

METHODS

In this retrospective analysis, we focused on preoperative PIV, systemic immune inflammation index (SII), and neutrophil-lymphocyte ratio (NLR) in 193 individuals managed with radical cystectomy for bladder cancer between January 2016 and November 2022. Multivariable logistic regression assessments were performed to assess the predictive capabilities of PIV, SII, and NLR for infiltration of lymph nodes (N), aggressive tumor stage (pT3/pT4), and any non-organ limited disease at the time of RC. Multivariable Cox regression analyses were conducted to assess the predictive impact of PIV on Relapse-free survival (RFS), Cancer-specific survival (CSS), and Overall survival (OS).

RESULTS

Our individuals were divided into high PIV and low PIV cohorts using the optimal cut-off value (340.96 × 109/L) based on receiver operating characteristic curve analysis for relapse-free survival. In multivariable preoperative logistic regression models, only SII and PIV correlated with the infiltration of lymph nodes, aggressive disease, and any non-organ confined disease. In multivariable Cox regression models considering presurgical clinicopathological variables, a higher PIV was associated with diminished RFS (p = 0.017) and OS (p = 0.029). In addition, in multivariable Cox regression models for postoperative outcomes, a high PIV correlated with both RFS (p = 0.034) and OS (p = 0.048).

CONCLUSIONS

Our study suggests that PIV and SII are two very similar markers that may serve as independent and significant predictors of aggressive disease and worse survival impacts on individuals undergoing radical cystectomy for bladder neoplasm.

RNA barcode segments for SARS-CoV-2 identification from HCoVs and SARSr-CoV-2 lineages

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pathogen responsible for coronavirus disease 2019 (COVID-19), continues to evolve, giving rise to more variants and global reinfections. Previous research has demonstrated that barcode segments can effectively and cost-efficiently identify specific species within closely related populations. In this study, we designed and tested RNA barcode segments based on genetic evolutionary relationships to facilitate the efficient and accurate identification of SARS-CoV-2 from extensive virus samples, including human coronaviruses (HCoVs) and SARSr-CoV-2 lineages. Nucleotide sequences sourced from NCBI and GISAID were meticulously selected and curated to construct training sets, encompassing 1733 complete genome sequences of HCoVs and SARSr-CoV-2 lineages. Through genetic-level species testing, we validated the accuracy and reliability of the barcode segments for identifying SARS-CoV-2. Subsequently, 75 main and subordinate species-specific barcode segments for SARS-CoV-2, located in ORF1ab, S, E, ORF7a, and N coding sequences, were intercepted and screened based on single-nucleotide polymorphism sites and weighted scores. Post-testing, these segments exhibited high recall rates (nearly 100%), specificity (almost 30% at the nucleotide level), and precision (100%) performance on identification. They were eventually visualized using one and two-dimensional combined barcodes and deposited in an online database (http://virusbarcodedatabase.top/). The successful integration of barcoding technology in SARS-CoV-2 identification provides valuable insights for future studies involving complete genome sequence polymorphism analysis. Moreover, this cost-effective and efficient identification approach also provides valuable reference for future research endeavors related to virus surveillance.

Results Obtained from a Pivotal Validation Trial of a Microsatellite Analysis (MSA) Assay for Bladder Cancer Detection through a Statistical Approach Using a Four-Stage Pipeline of Modern Machine Learning Techniques

Several studies have shown that microsatellite changes can be profiled in urine for the detection of bladder cancer. The use of microsatellite analysis (MSA) for bladder cancer detection requires a comprehensive analysis of as many as 15 to 20 markers, based on the amplification and interpretations of many individual MSA markers, and it can be technically challenging. Here, to develop fast, more efficient, standardized, and less costly MSA for the detection of bladder cancer, we developed three multiplex-polymerase-chain-reaction-(PCR)-based MSA assays, all of which were analyzed via a genetic analyzer. First, we selected 16 MSA markers based on 9 selected publications. Based on samples from Johns Hopkins University (the JHU sample, the first set sample), we developed an MSA based on triplet, three-tube-based multiplex PCR (a Triplet MSA assay). The discovery, validation, and translation of biomarkers for the early detection of cancer are the primary focuses of the Early Detection Research Network (EDRN), an initiative of the National Cancer Institute (NCI). A prospective study sponsored by the EDRN was undertaken to determine the efficacy of a novel set of MSA markers for the early detection of bladder cancer. This work and data analysis were performed through a collaboration between academics and industry partners. In the current study, we undertook a re-analysis of the primary data from the Compass study to enhance the predictive power of the dataset in bladder cancer diagnosis. Using a four-stage pipeline of modern machine learning techniques, including outlier removal with a nonlinear model, correcting for majority/minority class imbalance, feature engineering, and the use of a model-derived variable importance measure to select predictors, we were able to increase the utility of the original dataset to predict the occurrence of bladder cancer. The results of this analysis showed an increase in accuracy (85%), sensitivity (82%), and specificity (83%) compared to the original analysis. The re-analysis of the EDRN study results using machine learning statistical analysis proved to achieve an appropriate level of accuracy, sensitivity, and specificity to support the use of the MSA for bladder cancer detection and monitoring. This assay can be a significant addition to the tools urologists use to both detect primary bladder cancers and monitor recurrent bladder cancer.

Qualification of the Microsatellite Instability Analysis (MSA) for Bladder Cancer Detection: The Technical Challenges of Concordance Analysis

Bladder cancer (here we refer to transitional carcinoma of bladder) is a major cause of morbidity and mortality in the Western world, and recent understanding of its etiology, the molecular characteristics associated with its progression, renders bladder cancer an ideal candidate for screening. Cystoscopy is invasive and sometimes carries unwanted complications, but it is the gold standard for the detection of bladder cancer. Urine cytology, while the most commonly used test as an initial screening tool, is of limited value due to its low sensitivity, particularly for low-grade tumors. Several new "molecular assays" for the diagnosis of urothelial cancer have been developed over the last two decades. Here, we have established our new bladder cancer test based on an assay established for the Early Detection Research Network (EDRN) study. As a part of the study, a quality control CLIA/College of American Pathology (CAP) accredited laboratory, (QA Lab), University of Maryland Baltimore Biomarker Reference Laboratory (UMB-BRL), performed quality assurance analysis. Quality assurance measures included a concordance study between the testing laboratory (AIBioTech), also CLIA/CAP accredited, and the QA lab to ensure that the assay was performed and the results were analyzed in a consistent manner. Therefore, following the technical transfer and training of the microsatellite analysis assay to the UMB-BRL and prior to the initiation of analysis of the clinical samples by the testing lab, a series of qualification studies were performed. This report details the steps taken to ensure qualification of the assay and illustrates the technical challenges facing biomarker validation of this kind.

Methylation Analysis of Urinary Sample in Non-Muscle-Invasive Bladder Carcinoma: Frequency and Management of Invalid Result

BACKGROUND

Numerous studies showed that methylation analysis represents a newly developed urinary marker based on DNA methylation changes in a panel of genomic biomarkers and it could represent a valid tool in terms of the diagnosis and prediction of high-grade urothelial carcinoma recurrences. One of the limits of the use of this new molecular method during a follow-up is represented by the number of invalid tests in routine practice.

METHOD

A total of 782 patients with a diagnosis of non-muscle-invasive high-grade carcinoma (NMIBC) was studied. The Bladder EpiCheck test (BE) was performed together with cytology in all cases within 1 year after the end of treatment. In 402 patients, the urinary samples were voided urine (UV), while, in 380 cases, the samples were collected after bladder washing (IU). For all the patients with invalid BE results, a second BE test was performed following the instructions for use that indicated the test should be repeated with a new urinary sample in the case of an invalid result.

RESULTS

Analyzing the two different groups (UV and IU), we found the invalid BE results seemed to be not related to urinary samples (p = 0.13 Fisher's exact test), suggesting that the collection method was not relevant in order to reduce the number of invalid tests.

CONCLUSIONS

In the follow-up for NMIBC, for patients for whom a BE test is planned, a combined approach of cytology and a methylation test is recommended in order to repeat the BE test with an invalid result only in those cases with a cytological diagnosis of atypical urothelial cells (AUC) suspicious for high-grade urothelial carcinoma (SHGUC) and high-grade urothelial carcinoma (HGUC).

Development of Multiplex Polymerase Chain Reaction (PCR)-Based MSA Assay for Bladder Cancer Detection

Several studies have shown that microsatellite changes can be profiled in the urine to detect bladder cancer. Microsatellite analysis (MSA) of bladder cancer detection requires a comprehensive analysis of up to 15-20 markers based on amplifying and interpreting many individual MSA markers, which can be technically challenging. To develop fast, efficient, standardized, and less costly MSA to detect bladder cancer, we developed three multiplex polymerase chain reaction (PCR) based MSA assays, all of which were analyzed by a genetic analyzer. First, we selected 16 MSA markers based on nine publications. We developed MSA assays based on triplet or three-tube-based multiplex PCR (Triplet MSA assay) using samples from Johns Hopkins University (JHU Sample, first set of samples). In the second set of samples (samples from six cancer patients and fourteen healthy individuals), our Triplet Assay with 15 MSA markers correctly predicted all 6/6 cancer samples to be cancerous and 14/14 healthy samples to be healthy. Although we could improve our report with more clinical information from patient samples and an increased number of cancer patients, our overall results suggest that our Triplet MSA Assay combined with a genetic analyzer is a potentially time- and cost-effective genetic assay for bladder cancer detection and has potential use as a dependable assay in patient care.

Practical guide to the typical analysis of prognostic factors and biomarkers without the use of P-values

OBJECTIVES

We have seen an increasing number of studies evaluating biomarkers and prognostic factors. Biomedical researchers like to draw conclusions based on P-values. However, P-values are often not needed for this type of study. In this article, we show how most biomedical research problems in this area could be organized into three main analyses, each avoiding the use of P-values.

METHODS

The three main analyses follow the framework of prediction modeling when the outcome of interest is binary or time-to-event. The analyses make use of figures such as boxplots, nonparametric smoothing line, and nomogram, and also incorporate prediction performance measures such as the Area under the receiver operating characteristic curve, and index of predictive accuracy.

RESULTS

Our proposed framework is easy to follow. It is also in line with most of the research in the field of biomarkers and prognostic factors evaluation, such as reclassification table, net reclassification index, Akaike information criterion/Bayesian information criterion, receiver operating characteristic curve, and decision curve analysis.

CONCLUSION

Overall, we provide a step-by-step guideline that biomedical researchers could easily follow to conduct statistical analysis without using P-values, especially with the goal of evaluating biomarkers and prognostic factors.

DNA methylation analysis in urinary samples: A useful method to predict the risk of neoplastic recurrence in patients with urothelial carcinoma of the bladder in the high-risk group

BACKGROUND

Recently, it was reported that the Bladder EpiCheck test is likely to represent a valid tool in the diagnostic process of patients who have suspected bladder carcinoma, with some controversial management decisions because of the technical limitations of cytology.

METHODS

Two hundred ninety patients with a diagnosis of nonmuscle-invasive bladder carcinoma who were admitted at the authors' department from March 2019 to December 2019 were treated and followed for 1 year. During follow-up, all patients were evaluated by voided urine cytology, white-light cystoscopy (according to European Association of Urology guidelines), and the Bladder EpiCheck test.

RESULTS

The cytologic diagnoses of high-grade urothelial carcinoma (HGUC) and suspicious for HGUC were histologically confirmed in 5 of 20 patients (25%) who had quantitative Bladder EpiCheck scores (EpiScores) from 60 to 69, in 23 of 36 patients (64%) who had EpiScores from 70 to 79, and in 42 of 56 patients (75%) and 57 of 63 patients (90%) who had EpiScores between 80 and 89 and EpiScores >90, respectively. Of 48 patients who had a cytologic diagnosis of HGUC or suspicious for HGUC with EpiScores ≥60 and negative histology, 20 (42%) had a recurrence of HGUC, which was cytologically and histologically confirmed, at 6-12 months during follow-up.

CONCLUSIONS

To the best of the authors' knowledge, this is the first study in which patients at high risk for HGUC were stratified using the Bladder EpiCheck EpiScore. The results validate this methylation analysis tool as a useful method for predicting recurrent HGUC during the follow-up of patients with nonmuscle-invasive bladder carcinoma.

DNA Methylation Biomarkers for Prediction of Response to Platinum-Based Chemotherapy: Where Do We Stand?

Simple Summary

Platinum-based agents are one of the most widely used chemotherapy drugs for various types of cancer. However, one of the main challenges in the application of platinum drugs is resistance, which is currently being widely investigated. Epigenetic DNA methylation-based biomarkers are promising to aid in the selection of patients, helping to foresee their platinum therapy response in advance. These biomarkers enable minimally invasive patient sample collection, short analysis, and good sensitivity. Hence, improved methodologies for the detection and quantification of DNA methylation biomarkers will facilitate their use in the choice of an optimal treatment strategy.

Abstract

Platinum-based chemotherapy is routinely used for the treatment of several cancers. Despite all the advances made in cancer research regarding this therapy and its mechanisms of action, tumor resistance remains a major concern, limiting its effectiveness. DNA methylation-based biomarkers may assist in the selection of patients that may benefit (or not) from this type of treatment and provide new targets to circumvent platinum chemoresistance, namely, through demethylating agents. We performed a systematic search of studies on biomarkers that might be predictive of platinum-based chemotherapy resistance, including in vitro and in vivo pre-clinical models and clinical studies using patient samples. DNA methylation biomarkers predictive of response to platinum remain mostly unexplored but seem promising in assisting clinicians in the generation of more personalized follow-up and treatment strategies. Improved methodologies for their detection and quantification, including non-invasively in liquid biopsies, are additional attractive features that can bring these biomarkers into clinical practice, fostering precision medicine.

Prognostic Role of Preoperative Vascular Cell Adhesion Molecule-1 Plasma Levels in Urothelial Carcinoma of the Bladder Treated With Radical Cystectomy

Background

Angiogenesis-related marker vascular cell adhesion molecule-1 (VCAM-1) has been shown to be elevated in urothelial carcinoma of the bladder (UCB), but its predictive/prognostic role has not been determined. Thus, this study aimed to investigate the predictive/prognostic role of VCAM-1 for patients who have UCB treated with radical cystectomy (RC).

Methods

The study enrolled 1036 patients with clinically non-metastatic advanced UCB who underwent RC, and plasma VCAM-1 was evaluated preoperatively. The correlation of plasma VCAM-1 with pathologic and survival outcomes was assessed using binominal logistic regression and multivariable Cox regression analyses. Discrimination was assessed using the area under the curve and concordance indices. The clinical net benefit was evaluated using decision curve analysis (DCA).

Results

Preoperative VCAM-1 was significantly elevated in patients with adverse pathologic features. Higher VCAM-1 levels were independently associated with increased risk of lymph-node-metastasis (LNM), ≥pT3 disease, and non-organ-confined disease (NOCD (p < 0.001 for each). Preoperative plasma VCAM-1 was independently associated with recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS) in pre- and postoperative multivariable models. Adding VCAM-1 to these predictive models improved their discriminatory ability to predict all outcomes by a significant margin. In the DCA, VCAM-1 addition to the reference models for prediction of LNM, NOCD, RFS, and CSS resulted in relevant improvement.

Conclusions

Elevated plasma VCAM-1 was associated with biologically and clinically aggressive UCB disease features. After validation, preoperative VCAM-1 may serve as a biomarker to help identify patients likely to benefit from intensified/multimodal therapy. In addition, VCAM-1 improved the discriminatory power of predictive/prognostic models and can be used to refine personalized clinical decision-making.

Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach

INTRODUCTION

This study aimed to determine the prognostic value of a panel of SIR-biomarkers, relative to standard clinicopathological variables, to improve mRCC patient selection for cytoreductive nephrectomy (CN).

MATERIAL AND METHODS

A panel of preoperative SIR-biomarkers, including the albumin-globulin ratio (AGR), De Ritis ratio (DRR), and systemic immune-inflammation index (SII), was assessed in 613 patients treated with CN for mRCC. Patients were randomly divided into training and testing cohorts (65/35%). A machine learning-based variable selection approach (LASSO regression) was used for the fitting of the most informative, yet parsimonious multivariable models with respect to prognosis of cancer-specific survival (CSS). The discriminatory ability of the model was quantified using the C-index. After validation and calibration of the model, a nomogram was created, and decision curve analysis (DCA) was used to evaluate the clinical net benefit.

RESULTS

SIR-biomarkers were selected by the machine-learning process to be of high discriminatory power during the fitting of the model. Low AGR remained significantly associated with CSS in both training (HR 1.40, 95% CI 1.07-1.82, p = 0.01) and testing (HR 1.78, 95% CI 1.26-2.51, p = 0.01) cohorts. High levels of SII (HR 1.51, 95% CI 1.10-2.08, p = 0.01) and DRR (HR 1.41, 95% CI 1.01-1.96, p = 0.04) were associated with CSS only in the testing cohort. The exclusion of the SIR-biomarkers for the prognosis of CSS did not result in a significant decrease in C-index (- 0.9%) for the training cohort, while the exclusion of SIR-biomarkers led to a reduction in C-index in the testing cohort (- 5.8%). However, SIR-biomarkers only marginally increased the discriminatory ability of the respective model in comparison to the standard model.

CONCLUSION

Despite the high discriminatory ability during the fitting of the model with machine-learning approach, the panel of readily available blood-based SIR-biomarkers failed to add a clinical benefit beyond the standard model.

Microsatellite Instability Analysis (MSA) for Bladder Cancer: Past History and Future Directions

Microsatellite instability (MSI), the spontaneous loss or gain of nucleotides from repetitive DNA tracts, is a diagnostic phenotype for gastrointestinal, endometrial, colorectal, and bladder cancers; yet a landscape of instability events across a wider variety of cancer types is beginning to be discovered. The epigenetic inactivation of the MLH1 gene is often associated with sporadic MSI cancers. Recent next-generation sequencing (NGS)-based analyses have comprehensively characterized MSI-positive (MSI+) cancers, and several approaches to the detection of the MSI phenotype of tumors using NGS have been developed. Bladder cancer (here we refer to transitional carcinoma of the bladder) is a major cause of morbidity and mortality in the Western world. Cystoscopy, a gold standard for the detection of bladder cancer, is invasive and sometimes carries unwanted complications, while its cost is relatively high. Urine cytology is of limited value due to its low sensitivity, particularly to low-grade tumors. Therefore, over the last two decades, several new "molecular assays" for the diagnosis of urothelial cancer have been developed. Here, we provide an update on the development of a microsatellite instability assay (MSA) and the development of MSA associated with bladder cancers, focusing on findings obtained from urine analysis from bladder cancer patients as compared with individuals without bladder cancer. In our review, based on over 18 publications with approximately 900 sample cohorts, we provide the sensitivity (87% to 90%) and specificity (94% to 98%) of MSA. We also provide a comparative analysis between MSA and other assays, as well as discussing the details of four different FDA-approved assays. We conclude that MSA is a potentially powerful test for bladder cancer detection and may improve the quality of life of bladder cancer patients.

Impact of preoperative systemic immune-inflammation Index on oncologic outcomes in bladder cancer patients treated with radical cystectomy

PURPOSE

To investigate the predictive and prognostic value of the preoperative systemic immune-inflammation index (SII) in patients undergoing radical cystectomy (RC) for clinically non-metastatic urothelial cancer of the bladder (UCB).

METHODS

Overall, 4,335 patients were included, and the cohort was stratified in two groups according to SII using an optimal cut-off determined by the Youden index. Uni- and multivariable logistic and Cox regression analyses were performed, and the discriminatory ability by adding SII to a reference model based on available clinicopathologic variables was assessed by area under receiver operating characteristics curves (AUC) and concordance-indices. The additional clinical net-benefit was assessed using decision curve analysis (DCA).

RESULTS

High SII was observed in 1879 (43%) patients. On multivariable preoperative logistic regression, high SII was associated with lymph node involvement (LNI; P = 0.004), pT3/4 disease (P <0.001), and non-organ confined disease (NOCD; P <0.001) with improvement of AUCs for predicting LNI (P = 0.01) and pT3/4 disease (P = 0.01). On multivariable Cox regression including preoperative available clinicopathologic values, high SII was associated with recurrence-free survival (P = 0.028), cancer-specific survival (P = 0.005), and overall survival (P = 0.006), without improvement of concordance-indices. On DCAs, the inclusion of SII did not meaningfully improve the net-benefit for clinical decision-making in all models.

CONCLUSION

High preoperative SII is independently associated with pathologic features of aggressive disease and worse survival outcomes. However, it did not improve the discriminatory margin of a prediction model beyond established clinicopathologic features and failed to add clinical benefit for decision making. The implementation of SII as a part of a panel of biomarkers in future studies might improve decision-making.

Preoperative plasma level of endoglin as a predictor for disease outcomes after radical cystectomy for nonmetastatic urothelial carcinoma of the bladder

Elevated preoperative plasma level of endoglin has been associated with worse oncologic outcomes in various malignancies. The present large-scale study aimed to determine the predictive and prognostic values of preoperative endoglin with regard to clinicopathologic and survival outcomes in patients treated with radical cystectomy (RC) for nonmetastatic urothelial carcinoma of the bladder (UCB). We prospectively collected preoperative blood samples from 1036 consecutive patients treated with RC for UCB. Logistic and Cox regression analyses were undertaken to assess the correlation of endoglin levels with pathologic and survival outcomes, respectively. The AUC and C-index were used to assess the discrimination. Patients with adverse pathologic features had significantly higher median preoperative endoglin plasma levels than their counterparts. Higher preoperative endoglin level was independently associated with an increased risk for lymph node metastasis, ≥pT3 disease, and nonorgan confined disease (NOCD; all p < 0.001). Plasma endoglin level was also independently associated with cancer-specific and overall survival in both pre- and postoperative models (all p < 0.05), as well as with recurrence-free survival (RFS) in the preoperative model (p < 0.001). The addition of endoglin to the preoperative standard model improved its discrimination for prediction of lymph node metastasis, ≥pT3 disease, NOCD, and RFS (differential increases in C-indices: 10%, 5%, 5.8%, and 4%, respectively). Preoperative plasma endoglin is associated with features of biologically and clinically aggressive UCB as well as survival outcomes. Therefore, it seems to hold the potential of identifying UCB patients who may benefit from intensified therapy in addition to RC such as extended lymphadenectomy or/and preoperative systemic therapy.

Prominence of urinary biomarkers for bladder cancer in the COVID-19 era: From the commercially available to new prospective candidates

Molecular markers detected in urine may improve our understanding of the evolution of bladder cancer (BCa) and its micro- and macroenvironment. Detection of such markers will identify disease earlier, allow stratification of patients according to risk, and improve prognostication and prediction of outcomes, thereby facilitating targeted therapy. However, current guidelines have yet to embrace such markers for routine management of BCa, and most research studies have focused on urine-based tumor markers. In this review, we summarize known urinary biomarkers for BCa and highlight newly identified molecules. We then discuss the challenges that must be overcome to incorporate these markers into clinical care.

The Value of Preoperative Plasma VEGF Levels in Urothelial Carcinoma of the Bladder Treated with Radical Cystectomy

BACKGROUND

Elevated preoperative plasma levels of the angiogenesis-related marker VEGF have been associated with worse oncological outcomes in various malignancies.

OBJECTIVE

To investigate the predictive/prognostic role of VEGF in patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy (RC).

DESIGN, SETTING, AND PARTICIPANTS

VEGF plasma levels were measured preoperatively in 1036 patients with UCB who underwent RC.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The correlation between plasma VEGF levels and pathological and survival outcomes was assessed using logistic regression and Cox regression analyses. Discrimination was assessed using the concordance index (C index). The clinical net benefit was evaluated using decision curve analysis (DCA).

RESULTS AND LIMITATIONS

Patients with higher pretreatment plasma VEGF levels had poorer recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS) according to log-rank tests (all p < 0.001). Higher VEGF levels were not independently associated with higher risk of lymph node metastasis, ≥pT3 disease, or non-organ-confined disease (all p > 0.05). Preoperative plasma VEGF levels were independently associated with RFS, CSS, and OS in preoperative and postoperative multivariable models. However, in all cases the C index increased by <0.02 and there was no improvement in net benefit on DCA. A limitation is that none of the patients received current elements of standard of care such as neoadjuvant chemotherapy.

CONCLUSIONS

Elevated plasma VEGF levels were associated with features of biologically and clinically aggressive disease such as worse survival outcomes among patients with UCB treated with RC. However, VEGF appears to have relatively limited incremental additive value in clinical use. Further study of VEGF for UCB prognostication is warranted before routine use in clinical algorithms.

PATIENT SUMMARY

Currently available models for predicting outcomes in bladder cancer are less than optimal. A protein called vascular endothelial growth factor (VEGF), which is a marker of the formation of blood vessels (angiogenesis), may have a role in predicting survival outcomes in bladder cancer.

TAKE HOME MESSAGE

Elevated plasma VEGF levels are associated with worse survival outcomes for patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy. VEGF could be used as a part of a biomarker panel to enhance tools currently used for risk stratification for patients with UCB.

Prognostic blood-based biomarkers in patients treated with neoadjuvant chemotherapy for urothelial carcinoma of the bladder: A systematic review

PURPOSE

The present systematic review aimed to identify prognostic values of blood-based biomarkers in patients treated with neoadjuvant chemotherapy (NAC) for urothelial carcinoma of the bladder (UCB).

MATERIAL AND METHODS

The PubMed, Web of Science, and Scopus databases were searched in August 2020 according to the PRISMA statement. Studies were deemed eligible if they compared oncological outcomes in patients treated with NAC for UCB with and without pretreatment laboratory abnormalities.

RESULTS

Overall, ten studies, including 966 patients who underwent NAC, met our eligibility criteria. Six studies provided data on pretreatment neutrophil to lymphocyte ratio (NLR) with contradicting results on its association with pathologic response (PR) and complete pathologic response (pCR); some studies reported a strong association between a high level of pretreatment NLR and worse survival outcomes. Two studies reported that higher pretreatment platelet-lymphocyte ratio (PLR) is associated with a lower likelihood of achieving PR and/or pCR, while lymphocyte count alone had the opposite association. One study reported a negative association between pretreatment blood-based myeloid-derived suppressors cells and pCR. Patients who experienced a remission have been reported to have higher level of lymphocyte subsets (CD3+, CD4+, CD57+ cells, the ratio of CD4+/CD8+) compared to those who had progression. One study found that low pretreatment blood-based human chorionic gonadotrophin b subunit (hCGβ) was associated with improved overall survival (OS). High levels of epithelial tumor markers (CA-125, CA 19-9) were also associated with worse OS and recurrence-free survival in the NAC setting.

CONCLUSION

Current evidence suggests that several readily available, easy measurable blood-based biomarkers hold promise to improve our selection of UCB patients who are likely benefit from NAC. However, their role as an adjunct to established histopathologic characteristics for clinical decision-making requires further validation along the biomarker phased approach.

Prognostic value of the pre-operative serum albumin to globulin ratio in patients with non-metastatic prostate cancer undergoing radical prostatectomy

PURPOSE

To evaluate the potential predictive value of the preoperative serum albumin to globulin ratio (AGR) for oncological outcomes in patients treated with radical prostatectomy (RP) for clinically non-metastatic prostate cancer (PCa).

METHODS

Pre-operative AGR was assessed in a multi-institutional cohort of 6041 patients treated with RP. Logistic regression analyses were performed to assess the association of the AGR with advanced disease. We performed Cox regression analyses to determine the relationship between AGR and biochemical recurrence (BCR).

RESULTS

The optimal cut-off value was determined to be 1.31 according to receiver operating curve analysis. Compared to patients with a higher AGR, those with a lower preoperative AGR had worse BCR-free survival (P < 0.01) in the Kaplan-Meier analysis. Pre- and post-operative multivariable models that adjusted for the effects of established clinicopathologic features, confirmed its independent association with BCR [hazard ratio (HR) 1.52, 95% confidence interval (CI) 1.31-1.75, P < 0.01, HR 1.55, 95% CI 1.34-1.79, P < 0.01, respectively]. However, the addition of AGR to established prognostic models did not improve their discrimination.

CONCLUSION

While AGR is significantly associated with BCR, in the present study, the clinical impact of AGR was not large enough to affect patient management. Longer follow-up is necessary to observe the true effect of AGR.

Impact of the preoperative modified glasgow prognostic score on disease outcome after radical cystectomy for urothelial carcinoma of the bladder

BACKGROUND

To investigate the predictive and prognostic value of the preoperative modified Glasgow Prognostic Score (mGPS) in patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy (RC).

METHODS

We conducted a retrospective analysis of an established multicenter database consisting of 4,335 patients who were treated with RC +/- adjuvant chemotherapy for UCB between 1979 and 2012. The mGPS of each patient was calculated on the basis of preoperative serum C-reactive protein and albumin. Uni- and multivariable logistic and Cox regression analyses were performed. The discriminatory ability of the models was assessed by calculating the area under receiver operating characteristics curves (AUC) and concordance-indices (C-Index). The additional clinical net-benefit was assessed using the decision curve analysis (DCA).

RESULTS

A mGPS of 0, 1, and 2 was observed in 3,158 (72.8%), 1,020 (23.5%), and 157 (3.6%) patients, respectively. On multivariable logistic regression analyses, mGPS of 1 or 2 were associated with an increased risk of pT3/4 disease at RC (OR 1.25, p=0.004 and OR 2.58, p<0.001, respectively) and/or lymph node metastasis (OR 1.7, p<0.001 and OR 3.9, p<0.001, respectively). Addition of the mGPS to a predictive model based on preoperatively available variables improved its accuracy for prediction of lymph node metastasis (change of AUC +3.7%, p<0.001). On multivariable Cox regression analyses, mGPS of 1 or 2 remained associated with worse recurrence-free survival (HR 1.14, p=0.03 and HR 1.89 p<0.001, respectively), cancer-specific survival (HR 1.16, p=0.032 and HR 2.1, p<0.001, respectively) and overall survival (HR 1.5, p=0.007 and HR 1.92 p<0.001, respectively) compared to mGPS of 0. The additional discriminatory ability of the mGPS for prognosis of survival outcomes in separate models that included either established pre- or postoperative variables did not improve the C-Index by a prognostically relevant degree (change of C-Index <2% for all models). On DCA, the inclusion of the mGPS did not meaningfully improve the net-benefit for clinical decision-making regarding survival outcomes.

CONCLUSIONS

We confirmed that an elevated mGPS is an independent risk factor for non-organ confined disease and poor survival outcomes in patients with UCB undergoing RC. However, the mGPS showed little value in improving the discriminatory ability of predictive and prognostic models that relied on either pre- or postoperative clinicopathological variables. The discriminatory ability of this biomarker in the age of immunotherapy warrants further evaluation.

Impact of systemic Immune-inflammation Index on oncologic outcomes in patients treated with radical prostatectomy for clinically nonmetastatic prostate cancer

PURPOSE

To evaluate the predictive and prognostic value of the Systemic Immune-inflammation Index (SII) in a large cohort of patients treated with radical prostatectomy (RP) for clinically non-metastatic prostate cancer (PCa).

METHODS

We retrospectively analyzed our multicenter database comprising 6,039 consecutive patients. The optimal preoperative SII cut-off value was assessed with the Youden index calculated on a time-dependent receiver operating characteristic (ROC) curve. Logistic regression and Cox regression analyses were used to investigate the association of SII with pathologic features and biochemical recurrence (BCR), respectively. The discriminatory ability of the models was evaluated by calculating the concordance-indices (C-Index). The clinical benefit of the implementation of SII in clinical decision making was assessed using decision curve analysis (DCA).

RESULTS

Patients with high preoperative SII (≥ 620) were more likely to have adverse clinicopathologic features. On multivariable logistic regression analysis, high preoperative SII was independently associated with extracapsular extension (odds ratio [OR] 1.16, P = 0.041), non-organ confined disease (OR 1.18, P = 0.022), and upgrading at RP (OR 1.23, P < 0.001). We built two Cox regression models including preoperative and postoperative variables. In the preoperative multivariable model, high preoperative SII was associated with BCR (hazard ratio [HR] 1.34, 95% CI 1.15-1.55, P < 0.001). In the postoperative multivariable model, SII was not associated with BCR (P = 0.078). The addition of SII to established models did not improve their discriminatory ability nor did it increase the clinical net benefit on DCA.

CONCLUSION

In men treated with RP for clinically nonmetastatic PCa, high preoperative SII was statistically associated with an increased risk of adverse pathologic features at RP as well as BCR. However, it did not improve the predictive accuracy and clinical value beyond that obtained by current predictive and prognostic models. SII together with a panel of complementary biomarkers is praised to help guide decision-making in clinically nonmetastatic PCa.

Detection of bladder cancer with aberrantly fucosylated ITGA3

We describe a simple, non-invasive assay to identify fucosylated-glycoisoform of integrin alpha-3 (ITGA3) directly from unprocessed urine. ITGA3 was detected directly from the urine of bladder cancer (BlCa) (n = 13) and benign prostatic hyperplasia (BPH) (n = 9) patients with the use of lectins coated on europium-doped-nanoparticles (Eu³⁺-NPs). Lectin Ulex europaeus agglutinin-I (UEA) showed enhanced binding with BlCa-derived ITGA3. The evaluation with individual samples showed that a glycovariant ITGA3-UEA assay could significantly discriminate BlCa from BPH patients (p = 0.007). The detection of aberrantly fucosylated-isoform of ITGA3 from urine can be used to distinguish BlCa from age-matched benign controls in a simple sandwich assay.

Benefit of Adjuvant Chemotherapy After Radical Cystectomy for Treatment of Urothelial Carcinoma of the Bladder in the Elderly -An International Multicenter Study

BACKGROUND

Radical cystectomy (RC) is the standard treatment for muscle invasive bladder cancer, but approximately half of all patients will ultimately succumb to disease progression despite apparent cure with extirpative surgery. Elderly patients are at especially high risk of advanced disease and may benefit from perioperative systemic therapy.

OBJECTIVE

To assess the real-world benefit of adjuvant chemotherapy (AC) in patients ≥75 years old.

METHODS

We retrospectively reviewed patients who underwent RC for non-metastatic urothelial carcinoma of the bladder (UCB) from 12 participating international medical institutions. Kaplan-Meier survival curves and Cox regression models were used to assess the association between age groups, administration of AC and oncological outcome parameters such as recurrence-free survival (RFS), cancer-specific survival (CSS) and overall survival (OS).

RESULTS

4,335 patients were included in the analyses, of which 820 (18.9%) were ≥75 years old. These elderly patients had a higher rate of adverse pathologic features. In an univariable subgroup analysis in patients ≥75 years with lymph node metastasis, 5-year OS was significantly higher in patients who had received AC (41% vs. 30.9%, p = 0.02). In a multivariable Cox model that was adjusted for several established outcome predictors, there was a significant favorable association between the administration of AC in elderly patients and OS, but no RFS or CSS.

CONCLUSIONS

In this large observational study, the administration of AC was associated with improved OS, but not RFS or CSS, in elderly patients treated with RC for UCB. This is of clinical importance, as elderly patients are more likely to have adverse pathologic features and experience worse survival outcomes. Treatment of UCB should include both a multidisciplinary approach and a geriatric evaluation to identify patients who are most likely to tolerate and benefit from AC.

Impact of preoperative plasma levels of interleukin 6 and interleukin 6 soluble receptor on disease outcomes after radical cystectomy for bladder cancer

Background

Preoperative plasma levels of Interleukin 6 (IL6) and its soluble receptor (IL6sR) have previously been associated with oncologic outcomes in urothelial carcinoma of the bladder (UCB); however, external validation in patients treated with radical cystectomy (RC) for UCB is missing.

Patients/methods

We prospectively collected preoperative plasma from 1,036 consecutive patients at two institutes. These plasma specimens were assessed for levels of IL6 and IL6sR. Logistic and Cox regression analyses were used to assess the correlation of plasma levels with pathologic and survival outcomes. The additional clinical net benefits of preoperative IL6 and IL6sR were evaluated using decision curve analysis (DCA).

Results

Median IL6 and IL6sR plasma levels were significantly higher in patients with adverse pathologic features. Elevated biomarker levels were independently associated with an increased risk for lymph node metastasis and ≥ pT3 disease. Both biomarkers were independently associated with recurrence-free survival (RFS), cancer-specific survival (CSS) and overall survival (OS). The addition to, respectively, fitted pre- and postoperative prognostic models improved the predictive accuracy for lymph node metastasis, ≥ pT3 disease, RFS and CSS on DCA.

Interpretation

We confirmed that elevated preoperative plasma levels of IL6 and IL6sR levels are associated with worse oncological disease survival in patients treated with RC for UCB in a large multicenter study. Both biomarkers hold potential in identifying patients with adverse pathological features that may benefit from intensified/multimodal therapy and warrant inclusion into predictive/prognostic models. They demonstrated the ability to improve the discriminatory power of such models and thus guide clinical decision making.

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.

First-line immune-checkpoint inhibitor combination therapy for chemotherapy-eligible patients with metastatic urothelial carcinoma: A systematic review and meta-analysis

INTRODUCTION

Platinum-based combination chemotherapy is the standard treatment for patients with chemotherapy-eligible metastatic urothelial carcinoma (mUC). Immune-checkpoint inhibitors (ICIs) are currently assessed in this setting. This review aimed to assess the role of ICIs alone or in combination as first-line treatment in chemotherapy-eligible patients with mUC.

METHODS

Multiple databases were searched for articles published until November 2020. Studies were deemed eligible if they compared overall survival (OS), progression-free survival (PFS), objective response rates (ORRs), complete response rates (CRRs), durations of response (DORs) and adverse events (AEs) in chemotherapy-eligible patients with mUC.

RESULTS

Three studies met our eligibility criteria. ICI combination therapy was associated with significantly better OS and PFS, higher CRR and longer DOR than chemotherapy alone (hazard ratio [HR]: 0.85, 95% confidence interval [CI]: 0.76-0.94, P = 0.002; HR: 0.80, 95% CI: 0.71-0.90, P = 0.0002; odds ratio [OR]: 1.48, 95% CI: 1.12-1.96, P = 0.006; and mean difference: 1.39, 95% CI: 0.31-2.46, P = 0.01, respectively). ICI-chemotherapy combination therapy was also associated with significantly better OS and PFS, higher ORR and CRR and longer DOR than chemotherapy alone. Although OS and PFS benefits of ICI combination therapy were larger in patients with high expression of programmed death-ligand 1 (PD-L1), PD-L1 low expression patients also had a benefit; HR for OS (high PD-L1: HR 0.79 versus low PD-L1: HR 0.89) and PFS (high PD-L1: HR 0.74 versus low PD-L1: HR 0.82). ICI monotherapy was not associated with better oncological outcomes but was associated with better safety outcomes than chemotherapy alone.

CONCLUSIONS

Our analysis indicates a superior oncologic benefit to first-line ICI combination therapies in patients with chemotherapy-eligible mUC over standard chemotherapy. In contrast, ICI monotherapy was associated with favorable safety outcomes compared with chemotherapy but failed to show its superiority over chemotherapy in oncological benefits. PD-L1 status alone cannot help guide treatment decision-making. However, caution should be exercised in interpreting the conclusions drawn from this study, given that there is the heterogeneity of the population of interest, risk of bias and the nature of the studies evaluated whose data remain immature or unpublished.

Pathomics in urology

PURPOSE OF REVIEW

Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summarize its most relevant applications in urology.

RECENT FINDINGS

There is a steady rise in the number of studies employing Pathomics, and especially deep learning, in urology. In prostate cancer, several algorithms have been developed for the automatic differentiation between benign and malignant lesions and to differentiate Gleason scores. Furthermore, several applications have been developed for the automatic cancer cell detection in urine and for tumor assessment in renal cancer. Despite the explosion in research, Pathomics is not fully ready yet for widespread clinical application.

SUMMARY

In prostate cancer and other urologic pathologies, Pathomics is avidly being researched with commercial applications on the close horizon. Pathomics is set to improve the accuracy, speed, reliability, cost-effectiveness and generalizability of pathology, especially in uro-oncology.

Prognostic effect of preoperative systemic immune-inflammation index in patients treated with cytoreductive nephrectomy for metastatic renal cell carcinoma

BACKGROUND

Identifying those of patients with metastatic renal cell carcinoma (mRCC) who are most likely to benefit from cytoreductive nephrectomy (CN) is challenging. We tested the association between preoperative value of systemic immune-inflammation index (SII) and overall survival (OS) as well as cancer-specific survival (CSS) in mRCC patients treated with CN.

METHODS

mRCC patients treated with CN at different institutions were included. After assessing for the optimal pretreatment SII cut-off value, we found 710 to have the maximum Youden index value. The overall population was therefore divided into two SII groups using this cut-off (low, <710 vs high, ≥710). Univariable and multivariable Cox regression analyses tested the association SII and OS as well as CSS. The discrimination of the model was evaluated with the Harrel's concordance index (C-index). The clinical value of the SII was evaluated with decision curve analysis (DCA).

RESULTS

Among 613 mRCC patients, 298 (49%) patients had a SII ≥ 710. Median follow-up was 31 (IQR 16-58) months. On univariable analysis, high preoperative serum SII was significantly associated with worse OS (HR: 1.28, 95%CI: 1.07-1.54, p=0.01) and CSS (HR: 1.29, 95%CI: 1.08-1.55, p=0.01). On multivariable analysis, which adjusted for the effect of established clinicopathologic features, SII≥ 710 was associated with OS (HR: 1.25, 95%CI: 1.04-1.50, p=0.02) and CSS (HR: 1.26, 95%CI: 1.05-1.52, p=0.01). The addition of SII only slightly improved the discrimination of a base model that included established clinicopathologic features (C-index = 0.637 vs C-index = 0.629). On DCA, the inclusion of SII did not improve the net-benefit of the prognostic model. On multivariable analyses, SII ≥ 710 remained independently associated with the worse OS and CSS in IMDC intermediate risk group (both: HR: 1.31, 95%CI: 1.02 - 1.67, p = 0.03). In the subgroup analyses based on the BMI, among patients with BMI ≥ 25, SII was significantly associated with OS (HR: 1.29, 95%CI: 1.04 - 1.61, p = 0.02) and CSS (HR: 1.31, 95%CI: 1.05 - 1.63, p = 0.02).

CONCLUSIONS

We found an independent association of high SII prior to CN with unfavorable clinical outcomes, particularly in patients with intermediate risk mRCC and patients with increased BMI. Despite these results, it does not seem to add any prognostic or clinical benefit beyond that obtained by currently available clinicopathologic characteristics as sole worker.

A panel of systemic inflammatory response biomarkers for outcome prediction in patients treated with radical cystectomy for urothelial carcinoma

Objectives

To determine the predictive and prognostic value of a panel of systemic inflammatory response (SIR) biomarkers relative to established clinicopathological variables in order to improve patient selection and facilitate more efficient delivery of peri‐operative systemic therapy.

Materials and Methods

The preoperative serum levels of a panel of SIR biomarkers, including albumin–globulin ratio, neutrophil–lymphocyte ratio, De Ritis ratio, monocyte–lymphocyte ratio and modified Glasgow prognostic score were assessed in 4199 patients treated with radical cystectomy for clinically non‐metastatic urothelial carcinoma of the bladder. Patients were randomly divided into a training and a testing cohort. A machine‐learning‐based variable selection approach (least absolute shrinkage and selection operator regression) was used for the fitting of several multivariable predictive and prognostic models. The outcomes of interest included prediction of upstaging to carcinoma invading bladder muscle (MIBC), lymph node involvement, pT3/4 disease, cancer‐specific survival (CSS) and recurrence‐free survival (RFS). The discriminatory ability of each model was either quantified by area under the receiver‐operating curves or by the C‐index. After validation and calibration of each model, a nomogram was created and decision‐curve analysis was used to evaluate the clinical net benefit.

Results

For all outcome variables, at least one SIR biomarker was selected by the machine‐learning process to be of high discriminative power during the fitting of the models. In the testing cohort, model performance evaluation for preoperative prediction of lymph node metastasis, ≥pT3 disease and upstaging to MIBC showed a 200‐fold bootstrap‐corrected area under the curve of 67.3%, 73% and 65.8%, respectively. For postoperative prognosis of CSS and RFS, a 200‐fold bootstrap corrected C‐index of 73.3% and 72.2%, respectively, was found. However, even the most predictive combinations of SIR biomarkers only marginally increased the discriminative ability of the respective model in comparison to established clinicopathological variables.

Conclusion

While our machine‐learning approach for fitting of the models with the highest discriminative ability incorporated several previously validated SIR biomarkers, these failed to improve the discriminative ability of the models to a clinically meaningful degree. While the prognostic and predictive value of such cheap and readily available biomarkers warrants further evaluation in the age of immunotherapy, additional novel biomarkers are still needed to improve risk stratification.

Prognostic effect of preoperative serum albumin to globulin ratio in patients treated with cytoreductive nephrectomy for metastatic renal cell carcinoma

Background

Accurate identification of ideal candidates for cytoreductive nephrectomy (CN) for metastatic renal cell carcinoma (mRCC) is an unmet need. We tested the association between preoperative value of systemic albumin to globulin ratio (AGR) and overall survival (OS) as well as cancer-specific survival (CSS) in mRCC patients treated with CN.

Methods

mRCC patients treated with CN were included. The overall population was therefore divided into two AGR groups using cut-off of 1.43 (low, <1.43 vs. high, ≥1.43). Univariable and multivariable Cox regression analyses tested the association between AGR and OS as well as CSS. The discrimination of the model was evaluated with the Harrel’s concordance index (C-index). The clinical value of the AGR was evaluated with decision curve analysis (DCA).

Results

Among 613 mRCC patients, 159 (26%) patients had an AGR <1.43. Median follow-up was 31 (IQR: 16–58) months. On univariable analysis, low preoperative serum AGR was significantly associated with both OS (HR: 1.55, 95% CI: 1.26–1.89, P<0.001) and CSS (HR: 1.55, 95% CI: 1.27–1.90, P<0.001). On multivariable analysis, AGR <1.43 was associated with worse OS (HR: 1.51, 95% CI: 1.23–1.85, P<0.001) and CSS (HR: 1.52, 95% CI: 1.24–1.86, P<0.001). The addition of AGR only minimally improved the discrimination of a base model that included established clinicopathologic features (C-index=0.640 vs. C-index=0.629). On DCA, the inclusion of AGR marginally improved the net benefit of the prognostic model. Low AGR remained independently associated with OS and CSS in the IMDC intermediate risk group (HR: 1.52, 95% CI: 1.16–1.99, P=0.002).

Conclusions

In our study, low AGR before CN was associated with worse OS and CSS, particularly in intermediate risk patients.

Prognostic value of albumin to globulin ratio in non-muscle-invasive bladder cancer

Purpose

To investigate the prognostic value of preoperative serum albumin to globulin ratio (AGR) in patients with non-muscle-invasive bladder cancer (NMIBC) treated with transurethral resection of bladder tumor (TURB) with or without intravesical therapy (IVT).

Materials and methods

We retrospectively reviewed 1,096 consecutive patients with NMIBC. Levels of albumin and globulin were obtained before TURB and used to calculate the preoperative AGR level. Multivariable Cox regression analyses were performed to assess the prognostic effect of preoperative AGR on oncologic outcomes. Subgroup analyses were performed in patients based on the European Association of Urology (EAU) risk groups for NMIBC.

Results

Low AGR levels were observed in 389 (35.5%) patients. The median follow-up was 63.7 months (IQR 25.3–111). On multivariable Cox regression analysis, low AGR was associated with increased risk of progression to muscle-invasive BCa (MIBC) (HR 1.81, 95% CI 1.22–2.68, P = 0.003). The addition of AGR only minimally improved the discrimination ability of a base model that included established clinicopathologic features (C-index = 0.7354 vs. C-index = 0.7162). Low preoperative AGR was not significantly associated with the risk of disease recurrence (P = 0.31). In subgroup analyses based on patients’ EAU risk groups, low preoperative AGR was not associated with recurrence-free survival (RFS) (P = 0.59) or progression-free survival (PFS) (P = 0.22) in any of the risk groups. Additionally, in patients treated with Bacillus Calmette–Guerin (BCG) for intermediate- or high-risk NMIBC, low AGR failed to predict disease recurrence or progression.

Conclusion

Preoperative serum AGR levels independently predicted the risk of disease progression in patients with NMIBC. However, it was not found to be associated with either RFS or PFS in NMIBC patients based on their EAU risk group. This marker seems to have a limited role in NMIBC at the present time. However, further research is needed to investigate this marker in combination with other systemic inflammatory markers to help improve prediction in this heterogeneous group of patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00345-020-03586-1.

Further Understanding of Urokinase Plasminogen Activator Overexpression in Urothelial Bladder Cancer Progression, Clinical Outcomes and Potential Therapeutic Targets

Purpose

The Plasminogen Activation System (PAS) plays a role in tumor growth, invasion and metastasis and has been associated with oncological outcomes in urinary bladder carcinoma (UBC). The use of the different components of this system as molecular markers could improve our understanding of the heterogeneous behavior of UBC and might enable earlier disease detection, individual risk stratification, more accurate outcome prediction and be a rationale for new targeted therapies.

Methods

A comprehensive literature search including relevant articles up to October 2020 was performed using the MEDLINE/PubMed database.

Results

The components of the PAS axis are involved in tumor progression through their signaling processes during angiogenesis, cell migration, metastasis and adhesion. The body of evidence shows an association of PAS component overexpression with adverse pathological features and clinical outcome in UBC. Overexpressed PAS components correlate with a higher pathological tumor grade and advanced tumor stage. In non-muscle-invasive bladder cancer (NMIBC), the PAS components were associated with disease outcome while in muscle-invasive bladder cancer (MIBC), it was associated with disease outcome and pathological features. Possible therapeutic approaches in the PAS for the treatment of UBC have only been sparsely investigated in in vitro and in vivo studies. Intravesical plasminogen activator inhibitor 1 (PAI-1) instillation in animal models yielded interesting results and warrant further exploration in Phase II studies.

Conclusion

The overexpression of PAS components in UBC tumor tissue is associated with adverse pathological features and worse oncological outcomes. These findings are mainly based on preclinical studies and retrospective series, which requires further prospective studies to translate the PAS into clinically useful biomarkers and therapeutic targets.

The role of taxane-based chemotherapy in the treatment of prostate cancer

PURPOSE OF REVIEW

Indications for chemotherapy have increased in prostate cancer (PCA), many of which are shared with new hormonal agents (NHA). With no head to head comparison available, defining the optimal sequence and identifying biomarkers to predict response, has been a focus of intense research in PCA. We aim to summarize the best currently available evidence in all stages of disease to help guide therapy.

RECENT FINDINGS

In metastatic castration-resistant prostate cancer, Cabazitaxel has shown improved radiographic progression-free survival over another NHA after Docetaxel and one NHA. For hormone sensitive PCA (mHSPC) multiple meta-analyses have shown combination therapy with Docetaxel or an NHA to be superior to androgen deprivation therapy alone, yet no clear benefit over each other. For peri-interventional chemotherapy with local therapy, there is currently only one positive prospective trial, for very high-risk disease.

SUMMARY

Cabazitaxel is underutilized and should be used earlier. NHAs should not be used in succession as there is significant cross resistance. Combination therapy should be used in mHSPC, yet there is no clear benefit for any combination. Peri-interventional chemotherapy might have a benefit for a small group of patients with very high-risk disease, yet this must be carefully evaluated, and side effects must be taken into account.

Impact of preoperative serum albumin-globulin ratio on disease outcome after radical cystectomy for urothelial carcinoma of the bladder

INTRODUCTION

The Albumin-Globulin Ratio (AGR; albumin/total protein - albumin) has been associated with oncological outcome in various malignancies. However, its role in urothelial carcinoma of the bladder (UCB) has not been clearly established. In this study, we assessed the association of preoperative AGR (pAGR) with survival in patients who underwent radical cystectomy (RC) for UCB.

MATERIAL AND METHODS

We conducted a retrospective analysis of an established multicenter database of 4.335 patients who were treated with RC for UCB. The cohort was divided into 2 groups according to the pAGR status. Binominal logistic regression as well as uni- and multivariable Cox regression analyses were used. The predictive value of the models was assessed by calculating receiver operating characteristics curves and concordance-indices (C-Index). The additional clinical value was assessed using the decision curve analysis (DCA).

RESULTS

Overall, 1.670 patients (38.5%) had a low pAGR. On multivariable logistic regression analyses, low pAGR was associated with an increased risk of ≥pT3 disease at RC (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.01-1.31, P= 0.04). On multivariable Cox regression analyses, low pAGR remained associated with worse recurrence-free survival (RFS, HR 1.24, 95% CI 1.1-1.37, P< 0.001), cancer-specific survival (CSS, HR 1.23, 95% CI 1.1-1.38, P< 0.001) and overall survival (OS, HR 1.17, 95% CI 1.07-1.28, P< 0.001). The addition of pAGR to multiple prognostic models that were respectively fitted for clinical and postoperative variables did not improve the predictive accuracy.

CONCLUSION

pAGR status is an independent predictor of ≥pT3 disease, therefore it could help identify patients who have a higher likelihood to benefit from neoadjuvant systemic therapy. While pAGR was independently associated with RFS, CSS, and OS, it did not improve the predictive accuracy and clinical value beyond obtained by information already available. The predictive value of this biomarker in the age of immunotherapy needs further evaluation.

The Predictive Value of Programmed Death Ligand 1 in Patients with Metastatic Renal Cell Carcinoma Treated with Immune-checkpoint Inhibitors: A Systematic Review and Meta-analysis

CONTEXT

Immune-checkpoint inhibitors (ICIs) are a mainstay treatment of metastatic renal cell carcinoma (mRCC). As not all patients benefit from ICIs, a biomarker-driven clinical decision-making strategy is desirable.

OBJECTIVE

To assess the predictive value of programmed death ligand 1 (PD-L1) in mRCC patients treated with ICIs.

EVIDENCE ACQUISITION

Multiple databases were searched for articles published up to April 2020 according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. Studies comparing objective response rate (ORR), complete response rate (CRR), progressive disease rate (PDR), or progression-free survival (PFS) based on tumor PD-L1 status in mRCC patients were eligible.

EVIDENCE SYNTHESIS

Six studies matched our eligibility criteria. Treatment with ICIs was associated with significantly higher ORRs and CRRs, and lower PDRs in patients with PD-L1-positive tumors than in those with PD-L1-negative status (odds ratio [OR] 1.84, 95% confidence interval [CI] 1.48-2.28; OR 3.11, 95% CI 2.04-4.75; and OR 0.43, 95% CI 0.31-0.60, respectively). ICI treatment was associated with significantly better PFS in PD-L1-positive patients than in sunitinib-treated patients (hazard ratio 0.65, 95% CI 0.57-0.74), whereas this was not found in patients with PD-L1-negative tumors. Compared with sunitinib, ICI combination therapy improved ORRs and PFS significantly in PD-L1-positive patients of all examined ICIs. Nivolumab plus ipilimumab had the highest likelihood of providing the highest ORR and longest PFS in PD-L1-positive patients.

CONCLUSIONS

PD-L1 positivity of the tumor is associated with improved ORRs and prolonged PFS in mRCC patients receiving ICI treatment and thus helps identify mRCC patients most likely to benefit from ICI treatment.

PATIENT SUMMARY

The use of an immune-checkpoint inhibitor for the treatment of metastatic renal cell carcinoma (mRCC) improved oncological outcomes, and the status of programmed death ligand 1 could contribute to guiding patients and clinicians when determining personalized treatment strategies for mRCC.

Pre-therapy serum albumin-to-globulin ratio in patients treated with neoadjuvant chemotherapy and radical nephroureterectomy for upper tract urothelial carcinoma

PURPOSE

The accurate selection of patients who are most likely to benefit from neoadjuvant chemotherapy is an important challenge in oncology. Serum AGR has been found to be associated with oncological outcomes in various malignancies. We assessed the association of pre-therapy serum albumin-to-globulin ratio (AGR) with pathologic response and oncological outcomes in patients treated with neoadjuvant platin-based chemotherapy followed by radical nephroureterectomy (RNU) for clinically non-metastatic UTUC.

METHODS

We retrospectively included all clinically non-metastatic patients from a multicentric database who had neoadjuvant platin-based chemotherapy and RNU for UTUC. After assessing the pretreatment AGR cut-off value, we found 1.42 to have the maximum Youden index value. The overall population was therefore divided into two AGR groups using this cut-off (low, < 1.42 vs high, ≥ 1.42). A logistic regression was performed to measure the association with pathologic response after NAC. Univariable and multivariable Cox regression analyses tested the association of AGR with OS and RFS.

RESULTS

Of 172 patients, 58 (34%) patients had an AGR < 1.42. Median follow-up was 26 (IQR 11-56) months. In logistic regression, low AGR was not associated with pathologic response. On univariable analyses, pre-therapy serum AGR was neither associated with OS HR 1.15 (95% CI 0.77-1.74; p = 0.47) nor RFS HR 1.48 (95% CI 0.98-1.22; p = 0.06). These results remained true regardless of the response to NAC.

CONCLUSION

Pre-therapy low serum AGR before NAC followed by RNU for clinically high-risk UTUC was not associated with pathological response or long-term oncological outcomes. Biomarkers that can complement clinical factors in UTUC are needed as clinical staging and risk stratification are still suboptimal leading to both over and under treatment despite the availability of effective therapies.

Association of De Ritis ratio with oncological outcomes in patients with non-muscle invasive bladder cancer (NMIBC)

Purpose

The De Ritis ratio (aspartate aminotransferase/alanine aminotransferase, DRR) has been linked to oncological outcomes in several cancers. We aimed to assess the association of DRR with recurrence-free survival (RFS) and progression-free survival (PFS) in patients with non-muscle-invasive bladder cancer (NMIBC).

Methods

We conducted a retrospective analysis of 1117 patients diagnosed with NMIBC originating from an established multicenter database. To define the optimal pretreatment DRR cut‐off value, we determined a value of 1.2 as having a maximum Youden index value. The overall population was therefore divided into two De Ritis ratio groups using this cut‐off (lower, < 1.2 vs. higher, ≥ 1.2). Univariable and multivariable Cox regression analyses were used to investigate the association of DRR with RFS and PFS. The discrimination of the model was evaluated with the Harrel’s concordance index (C-index).

Results

Overall, 405 (36%) patients had a DRR ≥ 1.2. On univariable Cox regression analysis, DRR was significantly associated with RFS (HR: 1.23, 95% CI 1.02–1.47, p = 0.03), but not with PFS (HR: 0.96, 95% CI 0.65–1.44, p = 0.9). On multivariable Cox regression analysis, which adjusted for the effect of established clinicopathologic features, DRR ≥ 1.2 remained significantly associated with worse RFS (HR:1.21, 95% CI 1.00–1.46, p = 0.04). The addition of DRR only minimally improved the discrimination of a base model that included established clinicopathologic features (C-index = 0.683 vs. C-index = 0.681). On DCA the inclusion of DRR did not improve the net-benefit of the prognostic model.

Conclusion

Despite the statistically significant association of the DRR with RFS in patients with NMIBC, it does not seem to add any prognostic or clinical benefit beyond that of currently available clinical factors.

An up-to-date catalogue of urinary markers for the management of prostate cancer

PURPOSE OF REVIEW

Prostate cancer (PCa) is the most commonly diagnosed cancer in men. Poor specificity and sensitivity of total PSA often results in over and sometimes underdetection/treatment. Therefore, more specific and sensitive biomarkers for the detection and monitoring especially of clinically significant PCa as well as treatment-specific markers are much sought after. In this field, urine has emerged as a promising noninvasive source of biomarkers.

RECENT FINDINGS

RNA-based biomarkers are the most extensively studied type of urinary nucleic acids. ERG-Score/MiPS (Mi-Prostate Score) and SelectMDx might be considered as additional parameters together with clinical and imaging modalities to decrease unnecessary biopsies. miR Sentinel Tests could make it possible to accurately detect the presence of cancer and to distinguish low-grade from high-grade disease. In men with previous negative biopsies, PCA3 may suggest the need to repeat biopsy.

SUMMARY

The definitive role of these markers and their clinical benefit needs future validation.

The expression of urokinase-type plasminogen activator system in upper tract urothelial carcinoma and its prognostic value after radical nephroureterectomy

BACKGROUND

To evaluate the expression pattern and prognostic role of the urokinase-type plasminogen activator (uPA) system in patients who underwent radical nephroureterectomy (RNU) for nonmetastatic upper tract urothelial carcinoma (UTUC).

METHODS

A total of 732 patients who were treated with RNU for clinically nonmetastatic UTUC comprised our analytical cohort. Immunohistochemical staining of uPA, uPA receptor (uPAR) and uPA inhibitor (PAI-1) was performed using Murine IgG1 monoclonal antibodies. Outcomes of interest were recurrence-free survival, cancer-specific survival, and overall survival.

RESULTS

The median age of the patients was 69.8 years and 56.6% of them were males. Overall, overexpression of uPA, uPAR, and PAI-1 was observed in 292 (39.9%), 346 (47.3%), and 345 (47.1%) patients, respectively. The uPA system components showed a statistically significant association with adverse clinicopathologic features such as lymphovascular invasion, multifocality, sessile tumors, and advanced pathologic stage (P < 0.01). On multivariable models, higher pathologic tumor stage, multifocality, and lymph node involvement were associated with RFS, OS, and CSS, but not the overexpression of uPA, uPAR, or PAR-1. In patients with organ-confined disease (≤pT2N0), however, uPA was significantly associated with RFS (hazard ratio [HR]: 2.04, 95% confidence interval [CI]: 1.21-3.43), OS (HR: 1.59, 95% CI:1.08-2.24) and CSS (HR: 2.55, 95% CI:1.44-4.52). uPA improved the predictive accuracy of a standard post-RNU model for all 3 endpoints, in organ-confined disease, by a prognostically significant margin.

CONCLUSIONS

Overexpression of uPA system components was associated with adverse clinicopathologic characteristics and survival outcomes on the univariable, but not multivariable analyses. uPA expression was an independent predictor of survival outcomes in patients with organ-confined disease. While the clinical value of the uPA system remains limited in this cohort, further studies are needed to identify a marker or constellation of markers of high predictive value to help in counseling and treatment planning of UTUC patients.

Using adaptive genetic algorithms combined with high sensitivity single cell-based technology to detect bladder cancer in urine and provide a potential noninvasive marker for response to anti-PD1 immunotherapy

OBJECTIVE

To use adaptive genetic algorithms (AGA) in combination with single-cell flow cytometry technology to develop a noninvasive test to detect bladder cancer.

MATERIALS AND METHODS

Fifty high grade, cystoscopy confirmed, superficial bladder cancer patients, and 15 healthy donor early morning urine samples were collected in an optimized urine collection media. These samples were then used to develop an assay to distinguish healthy from cancer patients' urine using AGA in combination with single-cell flow cytometry technology. Cell recovery and test performance were verified based on cystoscopy and histology for both bladder cancer determination and PD-L1 status.

RESULTS

Bladder cancer patients had a significantly higher percentage of white blood cells with substantial PD-L1 expression (P< 0.0001), significantly increased post-G1 epithelial cells (P < 0.005) and a significantly higher DNA index above 1.05 (P < 0.05). AGA allowed parameter optimization to differentiate normal from malignant cells with high accuracy. The resulting prediction model showed 98% sensitivity and 87% specificity with a high area under the ROC value (90%).

CONCLUSIONS

Using single-cell technology and machine learning; we developed a new assay to distinguish bladder cancer from healthy patients. Future studies are planned to validate this assay.

Tissue biomarkers in nonmuscle-invasive bladder cancer: any role in clinical practice?

PURPOSE OF REVIEW

To summarize recent findings on tissue biomarkers for nonmuscle-invasive bladder cancer (NMIBC) with an emphasis on their prognostic and predictive role.

RECENT FINDINGS

Accurate risk stratification is essential and the major driver in patient counseling regarding surveillance and decision making relative to therapeutic strategies. In NMIBC, there is an unmet need for improving the accuracy of current prognostic and predictive models, which rely only on clinicopathologic features and do not reflect the biological heterogeneity of the cancer in each individual. Studies continuously shed novel light on some processes involved in cancerogenesis, host response and interactions in the tumor's own microenvironment, which may be considered as potential biomarkers and targets for future directed therapies.

SUMMARY

Biomarkers are necessary to transform bladder cancer management and usher in the age of personalized medicine. The clinical use is, however, still limited because of heterogeneity in study design, staining methods and an overall lacking adherence to a structured biomarker testing process.

Management of Patients with Normal Cystoscopy but Positive Cytology or Urine Markers

This presentation considers follow-up after successful transurethral resection of a high-grade non-muscle-invasive tumour, with normal cystoscopy, followed by bacillus-Calmette-Guérin (BCG) therapy. Focusing on two possible outcomes, a positive cytology but a negative urinary biomarker result, versus positive biomarkers but a negative cytology, we discuss what the evidence and guidelines recommend and which test is more robust. PATIENT SUMMARY: Bladder cancer is usually assessed by examination of tissue taken from the bladder, either by surgery or by biopsy; however, trace elements in the urine, known as biomarkers, can also provide an assessment. The challenge arises when the two methods do not agree: the tissue sample is positive for cancer, but the biomarker is negative, or the reverse. For now, these authors conclude that the tissue examination is more reliable than the biomarker result.

Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers

Molecular stratification of high-grade serous ovarian carcinoma (HGSC) for targeted therapy is a pertinent approach in improving prognosis of this highly heterogeneous disease. Enabling the same necessitates identification of class-specific biomarkers and their robust detection in the clinic. We have earlier resolved three discrete molecular HGSC classes associated with distinct functional behavior based on their gene expression patterns, biological networks, and pathways. An important difference revealed was that Class 1 is likely to exhibit cooperative cell migration (CCM), Class 2 undergoes epithelial to mesenchymal transition (EMT), while Class 3 is possibly capable of both modes of migration. In the present study, we define clinical stratification of HGSC tumors through the establishment of standard operating procedures for immunohistochemistry and histochemistry based detection of a panel of biomarkers including TCF21, E-cadherin, PARP1, Slug, AnnexinA2, and hyaluronan. Further development and application of scoring guidelines based on expression of this panel in cell line-derived xenografts, commercial tissue microarrays, and patient tumors led to definitive stratification of samples. Biomarker expression was observed to vary significantly between primary and metastatic tumors suggesting class switching during disease progression. Another interesting feature in the study was of enhanced CCM-marker expression in tumors following disease progression and chemotherapy. These stratification principles and the new information thus generated is the first step towards class-specific personalized therapies in the disease.

Diagnostic accuracy, clinical utility and influence on decision-making of a methylation urine biomarker test in the surveillance of non-muscle-invasive bladder cancer

Objectives

To investigate prospectively the clinical utility and influence on decision‐making of Bladder EpiCheck™, a non‐invasive urine test, in the surveillance of non‐muscle‐invasive bladder cancer (NMIBC).

Materials and Methods

Urine samples from 440 patients undergoing surveillance for NMIBC were prospectively collected at five centres and evaluated using the Bladder EpiCheck test (NCT02647112). A multivariable nomogram and decision‐curve analysis (DCA) were used to evaluate the impact of Bladder EpiCheck on decision‐making when used in routine clinical practice. The test was designed to exclude recurrent disease.

Results

Data from 357 patients were available for analysis. The test had a specificity of 88% (95% confidence interval [CI] 84–91), a negative predictive value (NPV) of 94.4% (95% CI 91–97) for the detection of any cancer and an NPV of 99.3% for the detection of high‐grade cancer. In multivariable analysis, positive Bladder EpiCheck results were independently associated with any and high‐grade disease recurrence (odds ratio [OR] 18.1, 95% CI 8.7–40.2; P < 0.001 and OR 78.3, 95% CI 19.2–547; P < 0.001). The addition of Bladder EpiCheck to standard variables improved its predictive ability for any and high‐grade disease recurrence by a difference of 16% and 22%, respectively (area under the curve 85.9% and 96.1% for any and high‐grade cancer, respectively). DCA showed an improvement in the net benefit relative to cystoscopy over a large threshold of probability, resulting in a significant reduction in unnecessary investigations. These results were similar in subgroups assessing the impact of specific clinical features.

Conclusions

Bladder EpiCheck is a robust high‐performing diagnostic test in patients with NMIBC undergoing surveillance that can potentially reduce the number of unnecessary investigations.

Prognostic value of nutritional indices and body composition parameters including sarcopenia in patients treated with radiotherapy for urothelial carcinoma of the bladder

PURPOSE

To assess the prognostic importance of sarcopenia in survival in patients with high-risk urothelial carcinoma of the bladder (UCB) who were unfit for radical cystectomy or systemic chemotherapy and were, therefore, treated with radiotherapy only.

METHODS

We evaluated 94 patients treated with transurethral resection of the bladder and radiotherapy for UCB. Sarcopenia, identified from pretreatment computed tomography scans, was defined as a skeletal muscle index of <39 cm²/m² for women and <55 cm²/m² for men. Body mass index -adjusted definition of sarcopenia was used to evaluate for sarcopenic obesity. Univariate models were used to assess the association between body composition and nutritional parameters with survival outcomes.

RESULTS

Overall, 68 patients were eligible for the final analysis, and 49 (72%) patients were sarcopenic. After body mass index adjustment of the definition of sarcopenia, its prevalence changed to 53.8% in women and 52.7% in men. Median age was 82 (interquartile range [IQR] 75-86) years, with a median, age-adjusted comorbidity index of 7.5 (IQR 6-10). The median time of follow-up was 12.5 (IQR 5.1-23.5) months. There were 42 (61.7%) patients who died of any cause and 19 (45.2%) who died because of UCB during the study period. Of all the body composition and nutritional parameters investigated, sarcopenic obesity was associated with cancer-specific survival (hazard ratio 5.0, 95% confidence interval 1.4-16.7, P = 0.01) and a low prognostic nutritional index was associated with overall survival (hazard ratio 0.46, 95% confidence interval 0.2-0.9, P = 0.02).

CONCLUSION

In patients who are too high risk for the standard treatment of UCB, sarcopenia is highly prevalent, but not prognostic of survival. Nevertheless, sarcopenic obesity and the prognostic nutritional index might act as prognostic markers for patients with UCB undergoing radiotherapy.

An up-to-date catalog of available urinary biomarkers for the surveillance of non-muscle invasive bladder cancer

OBJECTIVES

With the advent of novel genomic and transcriptomic technologies, new urinary biomarkers have been identified and tested for bladder cancer (BCa) surveillance. To summarize the current status of urinary biomarkers for the detection of recurrence and/or progression in the follow-up of non-muscle invasive BCa patients, and to assess the value of urinary biomarkers in predicting response to intravesical Bacillus Calmette-Guerin (BCG) therapy.

METHODS AND MATERIALS

A medline/pubmed© literature search was performed. The performance of commercially available and investigational biomarkers has been reviewed. End points were cancer detection (recurrence), cancer progression, and response to BCG therapy.

RESULTS

The performance requirements for biomarkers are variable according to the clinical scenario. The clinical role of urinary biomarkers in the follow-up of non-muscle invasive BCa patients remains undefined. The FDA-approved tests provide unsatisfactory sensitivity and specificity levels and their use is limited. Fluorescence in situ hybridization (FISH) has been shown to be useful in specific scenarios, mostly as a reflex test and in the setting of equivocal urinary cytology. FISH and immunocytology could conceivably be used to assess BCG response. Recently developed biomarkers have shown promising results; upcoming large trials will test their utility in specific clinical scenarios in a manner similar to a phased drug development strategy.

CONCLUSIONS

Current commercially available urinary biomarker-based tests are not sufficiently validated to be widely used in clinical practice. Several novel biomarkers are currently under investigation. Prospective multicenter analyses will be needed to establish their clinical relevance and value.

Molecular markers in bladder cancer

Purpose

Use of molecular markers in urine, tissue or blood offers potential opportunities to improve understanding of bladder cancer biology which may help identify disease earlier, risk stratify patients, improve prediction of outcomes or help target therapy.

Methods

A review of the published literature was performed, without restriction of time.

Results

Despite the fast-growing literature about the topic and the approval of several urinary biomarkers for use in clinical practice, they have not reached the level of evidence for widespread utilization. Biomarkers could be used in different clinical scenarios, mainly to overcome the limitations of current diagnostic, predictive, and prognostic tools. They have been evaluated to detect bladder cancer in asymptomatic populations or those with hematuria and in surveillance of disease as adjuncts to cystoscopy. There is also a potential role as prognosticators of disease recurrence, progression and survival both in patients with non-invasive cancers and in those with advanced disease. Finally, they promise to be helpful in predicting the response to local and/or systemic chemotherapy and/or immunotherapy.

Conclusions

To date, due to the lack of high-quality prospective trials, the level of evidence provided by the current literature remains low and, therefore, the potential of biomarkers exceeds utilization in clinical practice.