Institutional variability in the accuracy of urinary cytology for predicting recurrence of transitional cell carcinoma of the bladder

Machine learning assisted microfluidics dual fluorescence flow cytometry for detecting bladder tumor cells based on morphological characteristic parameters

BACKGROUND

Bladder cancer (BC) is the most common malignant tumor and has become a major public health problem, leading the causes of death worldwide. The detection of BC cells is of great significance for clinical diagnosis and disease treatment. Urinary cytology based liquid biopsy remains high specificity for early diagnosis of BC, however, it still requires microscopy examination which heavily relies on manual operations. It is imperative to investigate the potential of automated and indiscriminate cell differentiation technology to enhance the sensitivity and efficiency of urine cytology.

RESULTS

Here, we developed a machine learning algorithm empowered dual-fluorescence flow cytometry platform (μ-FCM) for urinary cytology analysis. A phenotype characteristic parameter (CP) which correlated with the size of the cell and nucleus was defined to achieve the differentiation of the BC cells and uroepithelial cells with high throughput and high accuracy. Based on CP analysis, SV-HUC-1 cells were almost differentiated from EJ cells and effectively reduced the overlap with 5637 cells. To further differentiate SV-HUC-1 cells and 5637 cells, support vector machine (SVM) machine learning algorithm was optimized to assist data analysis with the highest accuracies of 84.7 % for cell differentiation including the specificity of 91.0 % and the sensitivity of 75.0 %. Furthermore, the false positive rate (FPR) compensation enabled the detection rates of rare BC cells predicted by the well-trained SVM model were close to the true proportions with the recognition error in 0.4 % for the tumor cells.

SIGNIFICANCE

As a proof of concept, the developed μ-FCM system successfully demonstrates the capacity to identify the distribution of exfoliated cells in real urine samples. This system underscores the significance of integrating AI with microfluidics to perform high-throughput phenotyping of exfoliated cells, offering a pathway toward scalable, efficient, and automatic microfluidic systems in the fields of both biosensing and in vitro diagnosis of BC.

The Feasibility and Diagnostic Adequacy of PD-L1 Expression Analysis Using the Cytoinclusion Technique in Bladder Cancer: A Prospective Single-Center Study

Background: Programmed death-ligand 1 (PD-L1) expression has been recognized as a potential biomarker for various cancers, yet its diagnostic and prognostic significance in urothelial bladder cancer (BCa) requires further investigation. Methods: In this prospective single-center study, we aimed to assess the feasibility and diagnostic adequacy of PD-L1 expression analysis using cytoinclusion in BCa patients. We enrolled consecutive patients undergoing endoscopic transurethral resection of bladder tumor (TURBT), repeat TURBT, or robot-assisted radical cystectomy. Urinary and tissue specimens were collected from these patients for cytoinclusion and histopathological analysis to evaluate PD-L1 expression. Results: Out of 29 patients, PD-L1 expression was detected from cytoinclusion in 42.8% (3 out of 7), 10% (1 out of 10), and 66.8% (8 out of 12) of patients with negative/papilloma, low-grade, and high-grade tumors, respectively. Conversely, histopathological analysis identified PD-L1 expression in 57.2% (4 out of 7), 30% (3 out of 10), and 83.3% (10 out of 12) of patients with negative/papilloma, low-grade, and high-grade tumors, respectively. The diagnostic concordance between cytoinclusion and histopathology was 85.7%, 80%, and 83.3% in patients with negative/papilloma, low-grade, and high-grade tumors, respectively. Conclusions: Our study underscores the promise of cytoinclusion as a minimally invasive method for quantifying urinary PD-L1 percentages. This approach could serve as both a potential prognostic and diagnostic indicator, easily obtainable from urine samples. Standardizing this technique could facilitate its widespread use as a valuable tool.

EarlyTect BCD, a Streamlined PENK Methylation Test in Urine DNA, Effectively Detects Bladder Cancer in Patients with Hematuria

The current noninvasive diagnostic approaches for detecting bladder cancer (BC) often exhibit limited clinical performance, especially for the initial diagnosis. This study aims to evaluate the validity of a streamlined urine-based PENK methylation test called EarlyTect BCD in detecting BC in patients with hematuria scheduled for cystoscopy in Korean and American populations. The test seamlessly integrates two steps, linear target enrichment and quantitative methylation-specific PCR within a single closed tube. The detection limitation of the test was approximately two genome copies of methylated PENK per milliliter of urine. In the retrospective training set (n = 105), an optimal cutoff value was determined to distinguish BC from non-BC, resulting in a sensitivity of 87.3% and a specificity of 95.2%. In the prospective validation set (n = 210, 122 Korean and 88 American patients), the overall sensitivity for detecting all stages of BC was 81.0%, with a specificity of 91.5% and an area under the curve value of 0.889. There was no significant difference between the two groups. The test achieved a sensitivity of 100% in detecting high-grade Ta and higher stages of BC. The negative predictive value of the test was 97.7%, and the positive predictive value was 51.5%. The findings of this study demonstrate that EarlyTect BCD is a highly effective noninvasive diagnostic tool for identifying BC among patients with hematuria.

Evaluation of URO17® to improve non-invasive detection of bladder cancer

BACKGROUND

The gold standard for detecting bladder cancer is cystoscopy with biopsy or transurethral resection confirming histologic diagnosis. URO17® employs a chromogenically labeled monoclonal antibody to keratin 17 (k17), an intermediate filament cytoskeleton molecule associated with bladder, pancreatic, and cervical cancers. Preliminary studies evaluating k17 demonstrated a high sensitivity and specificity for the detection of bladder cancer, supporting the need for further study.

OBJECTIVE

To evaluate the sensitivity and specificity of URO17.

METHODS

This is a cross-sectional study of participants undergoing urologic procedures between July 6, 2018 and July 17, 2019 at a single institution. Patients undergoing cystectomy, endoscopic bladder and/or upper tract procedure for probable urothelial carcinoma comprised cases; patients undergoing urologic procedures for other reasons comprised the control group (i.e. prostatectomy, nephrectomy, etc.). Voided urine samples were at the time of procedure; a minority of participants underwent multiple resections in the study period, thus, as many as three urine samples were taken from any given participant. Samples were distributed for blinded testing with URO17. Sensitivity and specificity were calculated.

RESULTS

In 152 participants and 167 samples, URO17 demonstrated an overall sensitivity of 90% and 92% and a specificity of 88% and 87%, respectively. In 76 participants and 91 samples from patients with suspected urothelial carcinoma, the sensitivity was 90% and 92%, and the specificity was 50% and 54%, respectively. No controls demonstrated a positive URO17 result, and URO17 superseded urine cytology detection of low-grade and high-grade Ta. False positive results were associated with inflamed tissue or urothelial atypia on histology; the large majority had a history of intravesical therapy.

CONCLUSION

Limitations include cross-sectional design and convenience sampling. URO17 may improve sensitivity of urine cytology in the detection of urothelial cancer, though further study is required to refine the application of this biomarker in clinical practice.

Clinical Validation of the Proenkephalin (PENK) Methylation Urine Test for Monitoring Recurrence of Non-muscle-invasive Bladder Cancer

Background and objective

To assess the effectiveness of a urine-based proenkephalin (PENK) methylation test using linear target enrichment-quantitative methylation-specific polymerase chain reaction (mePENK test) for detection of non-muscle-invasive bladder cancer (NMIBC) recurrence compared to cytology and the NMP22 test.

Methods

We first conducted a retrospective case-control study involving 54 patients with primary BC and 29 healthy individuals. We then prospectively enrolled 186 patients (January to December 2022) undergoing cystoscopy surveillance after transurethral resection of bladder tumor, of whom 59 had recurrent tumors. We analyzed voided urine samples for PENK methylation levels in urinary DNA. Cystoscopy with histology was used as the reference standard for assessing the diagnostic accuracy of the mePENK test in detecting BC recurrence. We calculated the sensitivity and specificity using receiver operating characteristic curve analysis. Survival differences were determined using the Kaplan-Meier method and Cox proportional-hazards model. A p < 0.05 was considered statistically significant.

Key findings and limitations

In the case-control study, the PENK test had sensitivity of 83.3% and specificity of 100%. For NMIBC patients undergoing cystoscopy surveillance, the sensitivity was 76.3% (95% confidence interval [CI] 63.4-86.4%) and the specificity was 85% (95% CI 77.6-90.7%), outperforming cytology (sensitivity: 28.8%, 95% CI 17.8-42.1%; p < 0.001; specificity: 97.6%, 95% CI 93.2-99.5%) and the NMP22 test (sensitivity: 54.2%, 95% CI 40.7-67.2%; p = 0.016; specificity 81.9%, 95% CI 74.1-88.2%). In the high-risk group, the mePENK test had sensitivity of 89.7% (95% CI 75.8-97.1%) and a negative predictive value of 96.9%. For the group with low/intermediate risk, the sensitivity was 41.7%. In the group with negative cystoscopy, recurrence-free survival was shorter for patients with positive than for those with negative mePENK results (245 vs 503 d), with a hazard ratio of 9.4 (p < 0.001). The main study limitation is the small sample size.

Conclusions and clinical implications

The mePENK test showed good performance for detection of NMIBC recurrence and has potential for use for prognosis and prediction.

Patient summary

We found that a test used to analyze urine samples showed good performance in detecting recurrence of NMIBC. This noninvasive mePENK test may help in personalized follow-up care for patients with NMIBC.

Multiparametric Magnetic Resonance Imaging in the follow-up of non-muscle-invasive bladder tumors after intravesical instillations: a promising tool

PURPOSE

The standard follow-up for non-muscle-invasive bladder cancer is based on cystoscopy. Unfortunately, post-instillation inflammatory changes can make the interpretation of this exam difficult, with lower specificity. This study aimed to evaluate the interest of bladder MRI in the follow-up of patients following intravesical instillation.

METHODS

Data from patients who underwent cystoscopy and bladder MRI in a post-intravesical instillation setting between February 2020 and March 2023 were retrospectively collected. Primary endpoint was to evaluate and compare the diagnostic performance of cystoscopy and bladder MRI in the overall cohort (n = 67) using the pathologic results of TURB as a reference. The secondary endpoint was to analyze the diagnostic accuracy of cystoscopy and bladder MRI according to the appearance of the lesion on cystoscopy [flat (n = 40) or papillary (n = 27)].

RESULTS

The diagnostic performance of bladder MRI was better than that of cystoscopy, with a specificity of 47% (vs. 6%, p < 0.001), a negative predictive value of 88% (vs. 40%, p = 0.03), and a positive predictive value of 66% (vs. 51%, p < 0.001), whereas the sensitivity did not significantly differ between the two exams. In patients with doubtful cystoscopy and negative MRI findings, inflammatory changes were found on TURB in most cases (17/19). The superiority in MRI bladder performance prevailed for "flat lesions", while no significant difference was found for "papillary lesions".

CONCLUSIONS

In cases of doubtful cystoscopy after intravesical instillations, MRI appears to be relevant with good performance in differentiating post-therapeutic inflammatory changes from recurrent tumor lesions and could potentially allow avoiding unnecessary TURB.

Urine-Based Biomarker Test Uromonitor® in the Detection and Disease Monitoring of Non-Muscle-Invasive Bladder Cancer-A Systematic Review and Meta-Analysis of Diagnostic Test Performance

Optimal urine-based diagnostic tests (UBDT) minimize unnecessary follow-up cystoscopies in patients with non-muscle-invasive bladder-cancer (NMIBC), while accurately detecting high-grade bladder-cancer without false-negative results. Such UBDTs have not been comprehensively described upon a broad, validated dataset, resulting in cautious guideline recommendations. Uromonitor®, a urine-based DNA-assay detecting hotspot alterations in TERT, FGFR3, and KRAS, shows promising initial results. However, a systematic review merging all available data is lacking. Studies investigating the diagnostic performance of Uromonitor® in NMIBC until November 2023 were identified in PubMed, Embase, Web-of-Science, Cochrane, Scopus, and medRxiv databases. Within aggregated analyses, test performance and area under the curve/AUC were calculated. This project fully implemented the PRISMA statement. Four qualifying studies comprised a total of 1190 urinary tests (bladder-cancer prevalence: 14.9%). Based on comprehensive analyses, sensitivity, specificity, positive-predictive value/PPV, negative-predictive value/NPV, and test accuracy of Uromonitor® were 80.2%, 96.9%, 82.1%, 96.6%, and 94.5%, respectively, with an AUC of 0.886 (95%-CI: 0.851-0.921). In a meta-analysis of two studies comparing test performance with urinary cytology, Uromonitor® significantly outperformed urinary cytology in sensitivity, PPV, and test accuracy, while no significant differences were observed for specificity and NPV. This systematic review supports the use of Uromonitor® considering its favorable diagnostic performance. In a cohort of 1000 patients with a bladder-cancer prevalence of ~15%, this UBDT would avert 825 unnecessary cystoscopies (true-negatives) while missing 30 bladder-cancer cases (false-negatives). Due to currently limited aggregated data from only four studies with heterogeneous quality, confirmatory studies are needed.

Identification and preliminary analysis of hub genes associated with bladder cancer progression by comprehensive bioinformatics analysis

Bladder cancer (BC) is a crisis to human health. It is necessary to understand the molecular mechanisms of the development and progression of BC to determine treatment options. Publicly available expression data were obtained from TCGA and GEO databases to spot differentially expressed genes (DEGs) between cancer and normal bladder tissues. Weighted co-expression networks were constructed, and Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Associations in hub genes, immune infiltration, and immune therapy were evaluated separately. Protein-protein interaction (PPI) networks for the genes identified in the normal and tumor groups were launched. 3461 DEGs in the TCGA dataset and 1069 DEGs in the GSE dataset were identified, including 87 overlapping genes between cancer and normal bladder groups. Hub genes in the tumor group were mainly enriched for cell proliferation, while hub genes in the normal group were related to the synthesis and secretion of neurotransmitters. Based on survival analysis, CDH19, RELN, PLP1, and TRIB3 were considerably associated with prognosis (P < 0.05). CDH19, RELN, PLP1, and TRIB3 may play important roles in the development of BC and are potential biomarkers in therapy and prognosis.

Do Urine Cytology and FISH Analysis Have a Role in the Follow-Up Protocol of Upper Tract Urothelial Carcinoma?

BACKGROUND

Current guidelines recommend a stringent follow-up regimen that includes interval cystoureteronephscopy, CT urography, and selective urine cytology sampling for upper tract urothelial carcinoma (UTUC) patients undergoing endoscopic treatment and management. There are no recommendations regarding FISH analysis. Our purpose was to assess the efficacy of cytology and FISH as part of the follow-up protocol and its significance to clinical decision-making in this scenario.

METHODS

The medical records of all patients who managed endoscopically for UTUC at our institute between 2014 and 2022 were retrospectively analyzed. Demographic and clinical data, histology, cytology, and FISH results were collected. FISH analysis was considered malignant according to Paris criteria.

RESULTS

During the study period, 62 patients underwent 561 ureteroscopies as part of the treatment and follow-up regimen of low-grade UTUC. Urine from the affected upper tract was sampled for cytology in 377 procedures, and FISH analyses were performed in 273. In 75.4% of FISH analyses, the result was different from the cytology results: FISH found malignant aberrations in 15.5% of cases where cytology was benign. Furthermore, FISH classified all the cells defined as atypical via cytology as either benign or malignant. In only one case (0.17%), the urinary cytology report changed the follow-up regimen.

CONCLUSION

Cytology may be omitted from the follow-up protocol of low-grade UTUC. In the handful of cases cytology does assist the diagnosis of UTUC, there is an additional benefit to performing FISH analysis, particularly when cellular atypia is reported in the cytology results.

Urinary Microbiome Dysbiosis and Immune Dysregulations as Potential Diagnostic Indicators of Bladder Cancer

There are a total of 82,290 new cases and 16,710 deaths estimated for bladder cancer in the United States in 2023. Currently, urine cytology tests are widely used for bladder cancer diagnosis, though they suffer from variable sensitivity, ranging from 45 to 97%. More recently, the microbiome has become increasingly recognized for its role in human diseases, including cancers. This study attempts to characterize urinary microbiome bladder cancer-specific dysbiosis to explore its diagnostic potential. RNA-sequencing data of urine samples from patients with bladder cancer (n = 18) and matched controls (n = 12) were mapped to bacterial sequences to yield species-level abundance approximations. Urine samples were analyzed at both the population and species level to reveal dysbiosis associated with bladder cancer. A panel of 35 differentially abundant species was discovered, which may be useful as urinary biomarkers for this disease. We further assessed whether these species were of similar significance in a validation dataset (n = 81), revealing that the genera Escherichia, Acinetobacter, and Enterobacter were consistently differentially abundant. We discovered distinct patterns of microbial-associated immune modulation in these samples. Several immune pathways were found to be significantly enriched with respect to the abundance of these species, including antigen processing and presentation, cytosolic DNA sensing, and leukocyte transendothelial migration. Differential cytokine activity was similarly observed, suggesting the urinary microbiome's correlation to immune modulation. The adherens junction and WNT signaling pathways, both implicated in the development and progression of bladder cancer, were also enriched with these species. Our findings indicate that the urinary microbiome may reflect both microbial and immune dysregulations of the tumor microenvironment in bladder cancer. Given the potential biomarker species identified, the urinary microbiome may provide a non-invasive, more sensitive, and more specific diagnostic tool, allowing for the earlier diagnosis of patients with bladder cancer.

The Role of Checkpoint Inhibitor Expression Directly on Exfoliated Cells from Bladder Cancer: A Narrative Review

Bladder cancer (BCa) is a common type of cancer that affects the urinary bladder. The early detection and management of BCa is critical for successful treatment and patient outcomes. In recent years, researchers have been exploring the use of biomarkers as a non-invasive and effective tool for the detection and monitoring of BCa. One such biomarker is programmed death-ligand 1 (PD-L1), which is expressed on the surface of cancer cells and plays a crucial role in the evasion of the immune system. Studies have shown that the PD-L1 expression is higher in BCa tumors than in healthy bladder tissue. Additionally, PD-L1 expression might even be detected in urine samples in BCa patients, in addition to the examination of a histological sample. The technique is being standardized and optimized. We reported how BCa patients had higher urinary PD-L1 levels than controls by considering BCa tumors expressing PD-L1 in the tissue specimen. The expression of PD-L1 in urinary BCa cells might represent both a diagnostic and a prognostic tool, with the perspective that the PD-L1 expression of exfoliate urinary cells might reveal and anticipate eventual BCa recurrence or progression. Further prospective and longitudinal studies are needed to assess the expression of PD-L1 as a biomarker for the monitoring of BCa patients. The use of PD-L1 as a biomarker for the detection and monitoring of BCa has the potential to significantly improve patient outcomes by allowing for earlier detection and more effective management of the disease.

Molecular Markers for Bladder Cancer Screening: An Insight into Bladder Cancer and FDA-Approved Biomarkers

Bladder cancer is one of the most financially burdensome cancers globally, from its diagnostic to its terminal stages. The impact it imposes on patients and the medical community is substantial, exacerbated by the absence of disease-specific characteristics and limited disease-free spans. Frequent recurrences, impacting nearly half of the diagnosed population, require frequent and invasive monitoring. Given the advancing comprehension of its etiology and attributes, bladder cancer is an appealing candidate for screening strategies. Cystoscopy is the current gold standard for bladder cancer detection, but it is invasive and has the potential for undesired complications and elevated costs. Although urine cytology is a supplementary tool in select instances, its efficacy is limited due to its restricted sensitivity, mainly when targeting low-grade tumors. Although most of these assays exhibit higher sensitivity than urine cytology, clinical guidelines do not currently incorporate them. Consequently, it is necessary to explore novel screening assays to identify distinctive alterations exclusive to bladder cancer. Thus, integrating potential molecular assays requires further investigation through more extensive validation studies. Within this article, we offer a comprehensive overview of the critical features of bladder cancer while conducting a thorough analysis of the FDA-approved assays designed to diagnose and monitor its recurrences.

Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology

BACKGROUND

Urine cytology is generally considered the primary approach for screening for recurrence of bladder cancer. However, it is currently unclear how best to use cytological examinations for assessment and early detection of recurrence, beyond identifying a positive finding that requires more invasive methods to confirm recurrence and decide on therapeutic options. Because screening programs are frequent, and can be burdensome, finding quantitative means to reduce this burden for patients, cytopathologists, and urologists is an important endeavor and can improve both the efficiency and reliability of findings. Additionally, identifying ways to risk-stratify patients is crucial for improving quality of life while reducing the risk of future recurrence or progression of the cancer.

METHODS

In this study, a computational machine learning tool, AutoParis-X, was leveraged to extract imaging features from urine cytology examinations longitudinally to study the predictive potential of urine cytology for assessing recurrence risk. This study examined how the significance of imaging predictors changes over time before and after surgery to determine which predictors and time periods are most relevant for assessing recurrence risk.

RESULTS

Results indicate that imaging predictors extracted using AutoParis-X can predict recurrence as well or better than traditional cytological/histological assessments alone and that the predictiveness of these features is variable across time, with key differences in overall specimen atypia identified immediately before tumor recurrence.

CONCLUSIONS

Further research will clarify how computational methods can be effectively used in high-volume screening programs to improve recurrence detection and complement traditional modes of assessment.

Bladder Epicheck Test: A Novel Tool to Support Urothelial Carcinoma Diagnosis in Urine Samples

Bladder cancer and upper urothelial tract carcinoma are common diseases with a high risk of recurrence, thus necessitating follow-up after initial treatment. The management of non-muscle invasive bladder carcinoma (NMIBC) after transurethral resection involves surveillance, intravesical therapy, and cytology with cystoscopy. Urinary cytology, cystoscopy, and radiological evaluation of the upper urinary tract are recommended during follow-up in the international urological guidelines. Cystoscopy is the standard examination for the first assessment and follow-up of NMIBC, and urine cytology is a widely used urinary test with high sensitivity for high-grade urothelial carcinoma (HGUC) and carcinoma in situ (CIS). In recent years, various urinary assays, including DNA methylation markers, have been used to detect bladder tumors. Among these, the Bladder EpiCheck test is one of the most widely used and is based on analysis of the methylation profile of urothelial cells to detect bladder neoplasms. This review assesses the importance of methylation analysis and the Bladder EpiCheck test as urinary biomarkers for diagnosing urothelial carcinomas in patients in follow-up for NMIBC, helping cytology and cystoscopy in doubtful cases. A combined approach of cytology and methylation analysis is suggested not only to diagnose HGUC, but also to predict clinical and histological recurrences.

The Role of Urine and Washing Cytology in Primary Transurethral Resection of Bladder Tumours

INTRODUCTION

Urine cytology (UC) is a recommended tool for the diagnosis of urothelial malignancies. Thus far, no specific recommendations regarding the role of washing cytology (WC) have been included in the guidelines. The goal of our study was to analyse the relationship between the histology of transurethrally (transurethral resection of the bladder [TURBT]) resected bladder tumours (BCa) and intraoperative UC or WC findings.

MATERIALS AND METHODS

Five hundred consecutive primary TURBT cases conducted between November 2010 and 2015 at our department of the University Hospital Luebeck were retrospectively analysed. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of UC and WC were evaluated to detect BCa. Multivariate logistic regression models were fit to further examine associations between patient- and tumour-related factors and a bladder UC or WC positive for BCa.

RESULTS

UC was performed in 297 patients, WC in 294 patients, and both in 261 patients. Sensitivity was 50.7% in UC, 58.1% in WC, and 62.1% for both tests combined. Specificity was 97.8% for UC, 98.0% for WC, and 96.4% for the combined tests. PPV was 98.0% for UC, 98.1% for WC, and 97.2% for combined tests. NPV was 47.8% for UC, 54.5% for WC, and 55.9% for the combined tests. The multivariate analyses revealed no association between positive UC or WC results and subsequent radical cystectomy (UC OR 1.35, 95% CI: 0.3-5.7; WC OR 2.0, 95% CI: 0.4-11.4). Neither UC nor WC was significantly correlated with local recurrence.

CONCLUSIONS

Cytologic testing is an important diagnostic tool in BCa detection, showing acceptable sensitivity of around 60% and excellent specificity of over 90%. UC and WC present similar sensitivity. Our results advocate, however, against cytologic testing during primary TURBT, especially with regard to the lack of value in assessing the risk of recurrence. The clinical benefit of taking both types of samples at once is minimal. Furthermore, intraoperative WC collection does not reliably predict subsequent cystectomies.

Xpert Bladder Cancer Monitor for the Early Detection of Non-Muscle Invasive Bladder Cancer Recurrences: Could Cystoscopy Be Substituted?

XBM was prospectively assessed in spontaneous urine collected just before flexible cystoscopy and washing cytology carried out within the first 2 years follow-up of 337 patients with NMIBC. Recurrences were pathologically confirmed in 49 patients (14.5%), 22 of them being high-risk (6.5%). The XBM sensitivity for detecting any type of recurrence was 69.4% and 63.6% in the cases of high-risk NMIBC. Negative predictive value (NPV) for XBM was 93% for all recurrences and 96.2% for high-risk recurrences. XBM could have avoided 213 invasive controls but missed the detection of 15 recurrences (30.6%)-8 of them of high-risk (36.4%). XBM false positive elevations were detected in 90 patients (26.7%), whereas 10 patients with the invasive method had a false positive result (3%), p <0.001. However, early detection of recurrences during the first year's follow-up after an XBM false positive result was observed in 18 patients (20%). On the other hand, 19 recurrences were detected during this period among the rest of the patients (7.7%)-p = 0.003, and odds ratio (OR) 3.0 (95% CI 1.5-6.0). Regarding one-year follow-up recurrences, 10% were high-risk recurrences in the XBM false positive group and 3.2% in the rest of the patients-p = 0.021, and OR 3.3 (95% CI 1.2-8.9). Additionally, 11.3% of the patients without false positive results developed a recurrence, p = 0.897, for any recurrence, being 10% and 5.2%, respectively, and high-risk and low-risk recurrences, p = 0.506. After searching for the best XBM cutoff for detecting the 38 high-risk initial recurrences and the early high-risk recurrences after a one-year follow-up, a linear discriminant analysis (LDA) of 0.13 could have avoided 11.3% of cystoscopies and bladder wash cytologies, as this cutoff missed only 1 high-risk recurrence (2.6%). More extensive and well-designed studies will confirm if XBM can improve the surveillance of NMIBC.

Comet-FISH analysis of urothelial cells. A screening opportunity for bladder cancer?

INTRODUCTION

Bladder cancer (BCa) is the most frequent cancer of the urinary tract, with more than 500,000 reported cases and nearly 200,000 related deaths yearly. Cystoscopy is the standard examination used for the initial diagnosis and follow-up of BCa in the noninvasive stage. However, the American Cancer Society does not include BCa screening in its list of recommended cancer screenings.

AREAS COVERED

Recently, several urine-based bladder tumor markers (UBBTMs) that identify genomic, transcriptomic, epigenetic, or protein alterations have been introduced, some of which have been approved by the Food and Drug Administration (FDA) to improve its diagnosis and surveillance. Several biomarkers have been found in the tissues and blood of individuals with BCa or predisposed to develop the disease, further enriching our information.

EXPERT OPINION

From a prevention perspective, alkaline Comet-FISH could be a valuable tool with broad potential for clinical application. Furthermore, a comet assay could be more beneficial for diagnosing and monitoring bladder cancer and determining individual susceptibility. Thus, we recommend further studies to understand the potential of this combined assay in the general population as a potential screening test and in patients initiated into the diagnostic process.

Investigation of Atypical Cell Parameter in the Surveillance of Patients with NMIBC; Initial Outcomes of a Single Center Prospective Study

OBJECTIVE

To investigate how well the Sysmex automated urine-analyzer's atypical-cell parameter can predict oncological outcomes when compared to cytology and pathology data in the follow-up of NMIBC patients.

MATERIAL AND METHODS

We prospectively collected clinical data from 273 patients who underwent cystoscopic examination due to benign and malign reasons in our center between June 2020 and March 2021. Patients were divided into 2 groups. (Group-1: Patients with no previous diagnosis of bladder cancer(BC), Group-2: Patients with previously diagnosed NMIBC). The a typical-cell parameter was determined by studying the urine sample given by the patient for urinalysis. The atypical-cell parameter's sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were assessed.

RESULTS

A total of 76(41.1%) patients underwent diagnostic procedures (Group-1) and remaining 109(58.9%) patients were NMIBC patients (Group-2) who subjected to control cystoscopy on follow-up. BC was detected in 70 patients, 28 of whom were newly diagnosed (Group-1). Remaining 42 patients had recurrence during their follow-up (Group-2). Atypical cell values of 70 patients with BC were determined to be statistically significantly higher than those without malignancy. In Group-2, median atypical-cell values for those with no malignancy, those with low-grade BC reccurrence, and those with high-grade BC recurrence were 0.00(IQR:0.00-0.80), 0.25(IQR:0.10℃1.10) and 1.20(IQR:0.70-2.15), respectively (p<0.001). For a cut-off of 0.1 atypical cells/µL, sensitivity and specificity were measured as 83.33% and 53.73%, respectivel (AUC:0.727;p-value<0.001).

CONCLUSION

Atypical-cell parameter of the Sysmex-UF-5000 automated urine-analyzer is a newly introduced research parameter. The results of this study are promising. Based on our results, we presume that the atypical-cell parameter may be used in surveillance of the NMIBC patients. Multi-center studies with larger patient populations are required to prove its efficacy.

Clinical application of the anti-human telomerase reverse transcriptase (hTERT) antibody (SCD-A7) immunocytochemistry in liquid-based urine cytology: A prospective, single institute study

OBJECTIVES

Urine cytology is the most widely used noninvasive screening tool for urothelial carcinoma diagnosis and surveillance. Although highly specific, urine cytology exhibits suboptimal sensitivity. This study aimed to determine whether hTERT immunocytochemistry (ICC) could be applicable as an ancillary test in routine cytology practice.

METHODS

A total of 561 urinary tract samples were initially screened in this study. All of them were prepared using SurePath liquid-based cytology (LBC), while additional LBC slides were made and subsequently used for hTERT (SCD-A7) ICC.

RESULTS

From the 561 samples screened, 337 were finally analyzed, all having an adequate cellularity and available follow-up histology. The hTERT ICC-positive rate was 95.9% (n = 208/217), 96% (n = 24/25), and 100% (n = 4/4) in cytology samples with high-grade urothelial carcinoma, carcinoma in situ, and low-grade urothelial carcinoma subsequent histology. Among the 64 atypical cytology cases histologically confirmed as urothelial carcinomas, 92.2% (n = 59/64) were immunoreactive to hTERT, whereas the two histologically benign cases were ICC-negative. 87/90 (96.7%) of the cytology cases confirmed to be benign in follow-up were hTERT-negative. The overall sensitivity and specificity of hTERT ICC were 96.3% and 98.8%, respectively (AUROC = 0.963; 95% CI = 0.960-0.967).

CONCLUSIONS

The hTERT ICC test exhibited consistent and intense staining in malignant urothelial cells, suggesting its value as an ancillary test in liquid-based urine cytology.

Atomic force microscopy-based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysis

Cellular mechanical properties (CMPs) have been frequently reported as biomarkers for cell cancerization to assist objective cytology, compared to the current subjective method dependent on cytomorphology. However, single or dual CMPs cannot always successfully distinguish every kind of malignant cell from its benign counterpart. In this work, we extract 4 CMPs of four different graded bladder cancer (BC) cell lines by AFM (atomic force microscopy)-based nanoindentation to generate a CMP database, which is used to train a cancerization-grade classifier by machine learning. The classifier is tested on 4 categories of BC cells at different cancer grades. The classification shows split-independent robustness and an accuracy of 91.25% with an AUC-ROC (ROC stands for receiver operating characteristic, and ROC curve is a graphical plot which illustrates the performance of a binary classifier system as its discrimination threshold is varied) value of 97.98%. Finally, we also compare our proposed method with traditional invasive diagnosis and noninvasive cancer diagnosis relying on cytomorphology, in terms of accuracy, sensitivity and specificity. Unlike former studies focusing on the discrimination between normal and cancerous cells, our study fulfills the classification of 4 graded cell lines at different cancerization stages, and thus provides a potential method for early detection of cancerization. STATEMENT OF SIGNIFICANCE: We measured four cellular mechanical properties (CMPs) of 4 graded bladder cancer (BC) cell lines using AFM (atomic force microscopy). We found that single or dual CMPs cannot fulfill the task of BC cell classification. Instead, we employ MLA (Machine Learning Algorithm)-based analysis whose inputs are BC CMPs. Compared with traditional cytomorphology-based prognoses, the non-invasive method proposed in this study has higher accuracy but with many fewer cellular properties as inputs. The proposed non-invasive prognosis is characterized with high sensitivity and specificity, and thus provides a potential tumor-grading means to identify cancer cells with different metastatic potential. Moreover, our study proposes an objective grading method based on quantitative characteristics desirable for avoiding misdiagnosis induced by ambiguous subjectivity.

Bladder EpiCheck urine test in the follow-up of NMIBC: a cost analysis

PURPOSE

In the Netherlands yearly more than 5000 patients are diagnosed with non-muscle invasive bladder cancer (NMIBC). With a specificity of 88.0% and a negative predictive value (NPV) for high grade NMIBC of 99.3%, the Bladder EpiCheck (BE) urine test may be used in NMIBC to reduce the burden of follow-up cystoscopies.

METHODS

In this study a cost analysis of the BE follow-up strategy in the Dutch healthcare system was performed. In half of the follow-up appointments, BE was used as a rule-in for cystoscopy. In addition, the possible delay in recurrence detection was estimated. A cost calculation tool was developed using Microsoft Excel.

RESULTS

The BE strategy results in an estimated cost reduction of 8%, 4% and 9% in low, intermediate and high risk patients, respectively. In the Netherlands this may result in a cost reduction of approximately 1.6 million euro per year. The estimated delay in the detection of recurrent disease would be 3.9, 1.7 and 1.3 months in low, intermediate and high risk NMIBC patients respectively.

CONCLUSION

To conclude, the BE can be used to reduce the costs of NMIBC follow-up, with a small delay in diagnosis of recurrent disease.

Performance of CellDetect for detection of bladder cancer: Comparison with urine cytology and UroVysion

OBJECTIVE

To compare the performance of CellDetect, a new biomarker with urine cytology and UroVysiontechnology for bladder cancer detection.

PATIENTS AND METHODS

We performed an IRB approved prospective, blinded single center study in patients on routine surveillance for nonmuscle invasive bladder cancer and those scheduled for transurethral resection of bladder tumor or radical cystectomy. Patients with bladder catheters, neobladder, ileal conduit, urinary stones, or those with upper tract carcinoma were excluded from the study. Voided urine sample was collected from the participants and each sample was divided into three equal aliquots (CellDetect, Urine cytology and Urovysion). Pathology of the operative specimen was considered the gold standard to which the three markers were compared.

RESULTS

The study group included 93 patients with median age was 68 years (range: 34-92 years) with male to female ratio of 12:1. Pathologic evaluation revealed malignancy in 43 cases (46%) of whom 81% had previous history of urothelial bladder cancer. Among all studied markers CellDetect exhibited the best performance followed by urine cytology and U-FISH with diagnostic odds ratio of 4.33, 3.85, and 2.5 respectively. The overall sensitivity, specificity, negative predictive value, and positive predictive value for this test were 84%, 80%, 88%, and 74% respectively. The advantage of this new biomarker was observed both in high grade and low-grade cases.

CONCLUSIONS

This study demonstrates the advantage of CellDetect as a urine-based assay to detect urothelial bladder cancer over urine cytology and U-FISH test. The high performance was maintained across all cancer grades and stages without compromising the assay specificity. Additional studies are required to test if it can be a noninvasive alternative to cystoscopy.

Follow-up of the Urethra and Management of Urethral Recurrence After Radical Cystectomy: A Systematic Review and Proposal of Management Algorithm by the European Association of Urology-Young Academic Urologists: Urothelial Carcinoma Working Group

CONTEXT

Surveillance of the urethra and management of urethral recurrence (UR) after radical cystectomy (RC) is an area with poor evidence.

OBJECTIVE

We aimed to summarize the available evidence and provide clinicians with practical recommendations on how to prevent and manage UR after RC for bladder cancer.

EVIDENCE ACQUISITION

The MEDLINE and EMBASE databases were searched during September 2021 for studies evaluating UR after RC. The primary endpoint was oncologic outcomes for patients who experienced UR depending on different surveillance and management approaches.

EVIDENCE SYNTHESIS

Forty-three studies were included in the quantitative synthesis. According to the currently available literature, a tight-knitted surveillance protocol should be implemented for males treated with RC and nonorthotopic neobladder diversion as well as patients with prostatic involvement, tumor multifocality, bladder neck involvement, and concomitant carcinoma in situ. A survival benefit of a prophylactic urethrectomy has been reported only in patients at very high risk for UR based on clinical factors. Surveillance protocols were highly heterogeneous and poorly documented among included studies. Patients whose UR was diagnosed based on clinical symptoms had a poor prognosis. Only limited data were available on the comparative effectiveness of watchful waiting after RC versus clinical symptom screening as part of a follow-up strategy. However, the use of regular cytology and/or urethroscopy seems useful in select patients at high risk for UR. Despite limited data on the optimal management of UR, urethra-sparing approaches (transurethral resection of UR) seem to be an option for Ta (only) recurrences; a salvage urethrectomy with or without chemotherapy should be the standard for all others.

CONCLUSIONS

Based on the currently available literature, we have proposed an algorithm to guide the decision-making process to help identify and treat UR after RC. Given the lack of evidence on how to deal with UR and surveil patients at risk for UR, this study may invigorate research in this area of unmet need.

PATIENT SUMMARY

Early diagnosis and tailored management of urethral recurrence could help improve oncologic outcomes in these patients.

The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?

The aim of this review is to analyze and describe the current landscape of bladder cancer diagnostic and surveillance biomarkers. We researched the literature from 2016 to November 2021 to find the most promising new molecules and divided them into seven different subgroups based on their function and location in the cell. Although cystoscopy and cytology are still the gold standard for diagnosis and surveillance when it comes to bladder cancer (BCa), their cost is quite a burden for national health systems worldwide. Currently, the research is focused on finding a biomarker that has high negative predictive value (NPV) and can exclude with a certainty the presence of the tumor, considering missing it could be disastrous for the patient. Every subgroup has its own advantages and disadvantages; for example, protein biomarkers cost less than genomic ones, but on the other hand, they seem to be less precise. We tried to simplify this complicated topic as much as possible in order to make it comprehensible to doctors and urologists that are not as familiar with it, as well as encourage them to actively participate in ongoing research.

A Liquid Biopsy in Bladder Cancer—The Current Landscape in Urinary Biomarkers

The non-muscle invasive bladder cancer tends to recur and progress. Therefore, it requires frequent follow-ups, generating costs and making it one of the most expensive neoplasms. Considering the expensive and invasive character of the current gold-standard diagnostic procedure, white-light cystoscopy, efforts to find an alternative method are ongoing. Although the last decade has seen significant advancements in urinary biomarker tests (UBTs) for bladder cancer, international guidelines have not recommended them. Currently, the paramount urgency is to find and validate the test with the best specificity and sensitivity, which would allow for the optimizing of diagnosis, prognosis, and a treatment plan. This review aims to summarise the up-to-date state of knowledge relating to UBTs and new developments in the detection, prognosis, and surveillance of bladder cancer and their potential applications in clinical practice.

Proteomics for Early Detection of Non-Muscle-Invasive Bladder Cancer: Clinically Useful Urine Protein Biomarkers

Bladder cancer is the fourth most common cancer in men, and most cases are non-muscle-invasive. A high recurrence rate is a critical problem in non-muscle-invasive bladder cancer. The availability of few urine tests hinders the effective detection of superficial and small bladder tumors. Cystoscopy is the gold standard for diagnosis; however, it is associated with urinary tract infections, hematuria, and pain. Early detection is imperative, as intervention influences recurrence. Therefore, urinary biomarkers need to be developed to detect these bladder cancers. Recently, several protein candidates in the urine have been identified as biomarkers. In the present narrative review, the current status of the development of urinary protein biomarkers, including FDA-approved biomarkers, is summarized. Additionally, contemporary proteomic technologies, such as antibody-based methods, mass-spectrometry-based methods, and machine-learning-based diagnosis, are reported. Furthermore, new strategies for the rapid and correct profiling of potential biomarkers of bladder cancer in urine are introduced, along with their limitations. The advantages of urinary protein biomarkers and the development of several related technologies are highlighted in this review. Moreover, an in-depth understanding of the scientific background and available protocols in research and clinical applications of the surveillance of non-muscle bladder cancer is provided.

Detection of Cancer Mutations by Urine Liquid Biopsy as a Potential Tool in the Clinical Management of Bladder Cancer Patients

Simple Summary

The management of bladder cancer faces multiple challenges concerning the diagnostic and follow-up approaches. The standard diagnostic examination comprises invasive cystoscopy. Urine cytology and recently proposed urine-based biomarkers have been unable to replace cystoscopy, thus prompting calls for improvements. Here, we explore urine liquid biopsy to detect cancer mutations and subsequently evaluate the utility of urine as a suitable specimen for diagnosing bladder cancer. Our results show that the analysis of pre- and postoperative urine with a cost-effective 127-gene panel enables the characterization of tumor mutations. These findings provide cumulative evidence in support of the results of previous studies that testing urine for mutations is a useful strategy to complement the clinical management of bladder cancer patients.

Abstract

The standard diagnostic and follow-up examination for bladder cancer is diagnostic cystoscopy, an invasive test that requires compliance for a long period. Urine cytology and recent biomarkers come short of replacing cystoscopy. Urine liquid biopsy promises to solve this problem and potentially allows early detection, evaluation of treatment efficacy, and surveillance. A previous study reached 52–68% sensitivity using small-panel sequencing but could increase sensitivity to 68–83% by adding aneuploidy and promoter mutation detection. Here, we explore whether a large 127-gene panel alone is sufficient to detect tumor mutations in urine from bladder cancer patients. We recruited twelve bladder cancer patients, obtained preoperative and postoperative urine samples, and successfully analyzed samples from eleven patients. In ten patients, we found at least one mutation in bladder-cancer-associated genes, i.e., a promising sensitivity of 91%. In total, we identified 114 variants, of which 90 were predicted as nonbenign, 30% were associated with cancer, and 13% were actionable according to the CIViC database. Sanger sequencing of the patients’ formalin-fixed, paraffin-embedded (FFPE) tumor tissues confirmed the findings. We concluded that incorporating urine liquid biopsy is a promising strategy in the management of bladder cancer patients.

Diagnostic Accuracy of Novel Urinary Biomarker Tests in Non-muscle-invasive Bladder Cancer: A Systematic Review and Network Meta-analysis

CONTEXT

During the past decade, several urinary biomarker tests (UBTs) for bladder cancer have been developed and made commercially available. However, none of these is recommended by international guidelines so far.

OBJECTIVE

To assess the diagnostic estimates of novel commercially available UBTs for diagnosis and surveillance of non-muscle-invasive bladder cancer (NMIBC) using diagnostic test accuracy (DTA) and network meta-analysis (NMA).

EVIDENCE ACQUISITION

PubMed, Web of Science, and Scopus were searched up to April 2021 to identify studies addressing the diagnostic values of UBTs: Xpert bladder cancer, Adxbladder, Bladder EpiCheck, Uromonitor and Cxbladder Monitor, and Triage and Detect. The primary endpoint was to assess the pooled diagnostic values for disease recurrence in NMIBC patients using a DTA meta-analysis and to compare them with cytology using an NMA. The secondary endpoints were the diagnostic values for high-grade (HG) recurrence as well as for the initial detection of bladder cancer.

EVIDENCE SYNTHESIS

Twenty-one studies, comprising 7330 patients, were included in the quantitative synthesis. In most of the studies, there was an unclear risk of bias. For NMIBC surveillance, novel UBTs demonstrated promising pooled diagnostic values with sensitivities up to 93%, specificities up to 84%, positive predictive values up to 67%, and negative predictive value up to 99%. Pooled estimates for the diagnosis of HG recurrence were similar to those for the diagnosis of any-grade recurrence. The analysis of the number of cystoscopies potentially avoided during the follow-up of 1000 patients showed that UBTs might be efficient in reducing the number of avoidable interventions with up to 740 cystoscopies. The NMA revealed that diagnostic values (except specificity) of the novel UBTs were significantly higher than those of cytology for the detection of NMIBC recurrence. There were too little data on UBTs in the primary diagnosis setting to allow a statistical analysis.

CONCLUSIONS

Our analyses support high diagnostic accuracy of the studied novel UBTs, supporting their utility in the NMIBC surveillance setting. All of these might potentially help prevent unnecessary cystoscopies safely. There are not enough data to reliably assess their use in the primary diagnostic setting. These results have to be confirmed in a larger cohort as well as in head-to-head comparative studies. Nevertheless, our study might help policymakers and stakeholders evaluate the clinical and social impact of the implementation of these tests into daily practice.

PATIENT SUMMARY

Novel urinary biomarker tests outperform cytology with the potential of improving routine clinical practice by preventing unnecessary cystoscopic examinations during the surveillance of non-muscle-invasive bladder cancer.

Apolipoprotein A1 as a novel urinary biomarker for diagnosis of bladder cancer: A systematic review and meta-analysis

Introduction:

The emergence of urinary biomarkers for bladder cancer diagnosis could provide a reliable and less invasive diagnostic method. It could be also used as an adjuvant to the current gold standards of cytology and cystoscopy to improve diagnostic accuracy and decrease the percentage of false positives.

Methods:

We searched PubMed, SCOPUS, and Web of Science up to March 18, 2020. We selected four studies that assessed the diagnostic accuracy of urinary apolipoprotein A1 (ApoA-1) in detecting bladder cancer and met the inclusion and exclusion criteria. Two authors independently extracted the data and performed quality assessment of the studies.

Results:

Four studies with 771 participants were selected; 417 were bladder cancer patients and 354 were controls. Bladder cancer was either transitional cell carcinoma or squamous cell carcinoma, the stages varied between Ta to T3, and the grades varied between G1 and G3. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 90.7%, 90%, 9.478, 0.1, and 99.424, respectively. Summary receiver operating characteristic curve showed an area under the curve of 0.9544 and Q* index of 0.8965.

Conclusions:

ApoA-1 showed high sensitivity and specificity, so it could be a useful biomarker in diagnosis of bladder cancer.

Incidence, risk factors and outcomes of urethral recurrence after radical cystectomy for bladder cancer: A systematic review and meta-analysis

We aimed to conduct a systematic review and meta-analysis assessing the incidence and risk factors of urethral recurrence (UR) as well as summarizing data on survival outcomes in patients with UR after radical cystectomy (RC) for bladder cancer. The MEDLINE and EMBASE databases were searched in February 2021 for studies of patients with UR after RC. Incidence and risk factors of UR were the primary endpoints. The secondary endpoint was survival outcomes in patients who experienced UR. Twenty-one studies, comprising 9,435 patients, were included in the quantitative synthesis. Orthotopic neobladder (ONB) diversion was associated with a decreased probability of UR compared to non-ONB (pooled OR: 0.44, 95% CI: 0.31-0.61, P < 0.001) and male patients had a significantly higher risk of UR compared to female patients (pooled OR: 3.16, 95% CI: 1.83-5.47, P < 0.001). Among risk factors, prostatic urethral or prostatic stromal involvement (pooled HR: 5.44, 95% CI: 3.58-8.26, P < 0.001; pooled HR: 5.90, 95% CI: 1.82-19.17, P = 0.003, respectively) and tumor multifocality (pooled HR: 2.97, 95% CI: 2.05-4.29, P < 0.001) were associated with worse urethral recurrence-free survival. Neither tumor stage (P = 0.63) nor CIS (P = 0.72) were associated with worse urethral recurrence-free survival. Patients with UR had a 5-year CSS that varied from 47% to 63% and an OS - from 40% to 74%; UR did not appear to be related to worse survival outcomes. Male patients treated with non-ONB diversion as well as patients with prostatic involvement and tumor multifocality seem to be at the highest risk of UR after RC. Risk-adjusted standardized surveillance protocols should be developed into clinical practice after RC.

Biorepositories and Databanks for the Development of Novel Biomarkers for Genitourinary Cancer Prevention and Management

CONTEXT

Translational research in uro-oncology depends on the availability of high-quality biospecimens and associated data to advance precision medicine and improve clinical outcomes. Procurement, storage, and annotation of these specimens represent critical steps towards this end.

OBJECTIVE

To review best-practice experiences gained via the McCain GU BioBank, a repository of more than 750 000 biospecimens obtained from more than 16 000 patients attending clinics at the University Health Network in Toronto, Canada.

EVIDENCE ACQUISITION

The review summarizes our experiences at a large single-institution genitourinary oncology biorepository.

EVIDENCE SYNTHESIS

Key findings are placed in the context of emerging trends in genitourinary oncology, with a focus on integration of molecular profiling and clinical data with traditional biorepository management. Proposed approaches provide high-quality biospecimens with comprehensive and reliable clinical data that can fuel innovation and discovery in research.

CONCLUSIONS

Biorepositories are vital for improving clinical outcomes and advancing personalized medicine. High-quality biospecimens and their associated clinical data are crucial for validation of biomarkers in oncology. Efforts to procure, store, and annotate clinical specimens represent critical steps in translational research. Elements such as biobank size, biospecimen types, disease cohorts, predetermined collection protocols, broad informed consent, sample handling and storage protocols, and available infrastructure directly influence the effectiveness and capacity of a biobank.

PATIENT SUMMARY

Biorepositories, or biobanks, are facilities that store biospecimens such as blood, urine, or tissue (usually collected from humans) for use in research. Biobanks have become an important resource in medical research, as they provide high-quality specimens to support different types of contemporary research such as genomics, biomarker discovery, and personalized medicine. Clinical management and treatment of genitourinary cancers, such as prostate, kidney, and bladder cancers, are particularly suited for biomarker research. The provision of biospecimens and their associated clinical data have become crucial for validation of biomarkers in these cancers.

Urine cytology findings in patients with biopsy-confirmed urothelial carcinoma in situ with plasmacytoid features

BACKGROUND

Urine cytology is an important screening tool in the diagnosis of high-grade urothelial carcinoma. Diagnosis in urine samples follows criteria outlined by The Paris System for Reporting Urinary Cytology (TPS). However, cytologic characteristics of the recently described urothelial carcinoma in situ with plasmacytoid features (P-CIS) have not been described, and it is unknown whether they conform to TPS criteria for high-grade urothelial carcinoma. This study was aimed at better characterizing possibly unique cytologic features of P-CIS.

METHODS

The authors collected urine cytology specimens from patients with subsequent bladder biopsy-proven P-CIS. Specimens were re-reviewed according to the TPS criteria. The proposed cytologic features of P-CIS (eccentric, enlarged, and hyperchromatic nuclei) were evaluated; this included the reproducibility of 3 cytopathologists for the proposed cytologic features.

RESULTS

Seventy-four urine specimens from 18 patients with P-CIS-diagnosed bladder biopsies were identified. The TPS diagnoses of the 74 urine cytology specimens were as follows: negative for high-grade urothelial carcinoma (n = 26), atypical urothelial cells (n = 26), suspicious for high-grade urothelial carcinoma (n = 12), and high-grade urothelial carcinoma (n = 10). Only 7 urine specimens met the proposed cytologic criteria for P-CIS, and they had TPS diagnoses of negative for high-grade urothelial carcinoma (n = 1), atypical urothelial cells (n = 3), and high-grade urothelial carcinoma (n = 3). The κ interobserver agreement ranged from poor to fair.

CONCLUSION

The features of P-CIS on urine cytology are subtle and infrequently reproducible and often do not meet the TPS criteria for diagnosis as high-grade urothelial carcinoma. In specimens that do not meet TPS criteria for high-grade urothelial carcinoma, P-CIS cytology in isolation would be best classified as atypical urothelial cells.

Clinical applications of artificial intelligence in urologic oncology

PURPOSE OF REVIEW

This review aims to shed light on recent applications of artificial intelligence in urologic oncology.

RECENT FINDINGS

Artificial intelligence algorithms harness the wealth of patient data to assist in diagnosing, staging, treating, and monitoring genitourinary malignancies. Successful applications of artificial intelligence in urologic oncology include interpreting diagnostic imaging, pathology, and genomic annotations. Many of these algorithms, however, lack external validity and can only provide predictions based on one type of dataset.

SUMMARY

Future applications of artificial intelligence will need to incorporate several forms of data in order to truly make headway in urologic oncology. Researchers must actively ensure future artificial intelligence developments encompass the entire prospective patient population.

A Urine-Based Liquid Biopsy Method for Detection of Upper Tract Urinary Carcinoma

Background

Conventional clinical detection methods such as CT, urine cytology, and ureteroscopy display low sensitivity and/or are invasive in the diagnosis of upper tract urinary carcinoma (UTUC), a factor precluding their use. Previous studies on urine biopsy have not shown satisfactory sensitivity and specificity in the application of both gene mutation or gene methylation panels. Therefore, these unfavorable factors call for an urgent need for a sensitive and non-invasive method for the diagnosis of UTUC.

Methods

In this study, a total of 161 hematuria patients were enrolled with (n = 69) or without (n = 92) UTUC. High-throughput sequencing of 17 genes and methylation analysis for ONECUT2 CpG sites were combined as a liquid biopsy test panel. Further, a logistic regression prediction model that contained several significant features was used to evaluate the risk of UTUC in these patients.

Results

In total, 86 UTUC− and 64 UTUC+ case samples were enrolled for the analysis. A logistic regression analysis of significant features including age, the mutation status of TERT promoter, and ONECUT2 methylation level resulted in an optimal model with a sensitivity of 94.0%, a specificity of 93.1%, the positive predictive value of 92.2% and a negative predictive value of 94.7%. Notably, the area under the curve (AUC) was 0.957 in the training dataset while internal validation produced an AUC of 0.962. It is worth noting that during follow-up, a patient diagnosed with ureteral inflammation at the time of diagnosis exhibiting both positive mutation and methylation test results was diagnosed with ureteral carcinoma 17 months after his enrollment.

Conclusion

This work utilized the epigenetic biomarker ONECUT2 for the first time in the detection of UTUC and discovered its superior performance. To improve its sensitivity, we combined the biomarker with high-throughput sequencing of 17 genes test. It was found that the selected logistic regression model diagnosed with ureteral cancer can evaluate upper tract urinary carcinoma risk of patients with hematuria and outperform other existing panels in providing clinical recommendations for the diagnosis of UTUC. Moreover, its high negative predictive value is conducive to rule to exclude patients without UTUC.

The Usefulness of 4 Immunoperoxidase Stains Applied to Urinary Cytology Samples in the Pathologic Stage of Urothelial Carcinoma: A Study With Histologic Correlation

BACKGROUND

Currently, the golden rule for the diagnosis of urothelial carcinoma is biopsy and cystoscopy, unfortionally both are costly, invasive, and uncomfortable. While most urothelial cancers are noninvasive at presentation, it is necessary to find a highly sensitive, noninvasive way to diagnose in its earlier stages, Cytology with immunostaining is a noninvasive, reliable method that might play a role in detecting the earlier stages before its progression and accurate correlation with different stages of these tumors.

AIM

This study aimed to reach an accurate level in the staging of urothelial carcinoma using CD44, ProExC, Laminin, and Fascin on urinary cytology.

DESIGN

We include a total of 180 urinary cytology specimens with their surgical biopsies' counterparts, the staging of the surgical specimens were done according to AJCC2017TNM classification, while their counterpart urinary samples were centrifuged and the sediment was used for H&E and immunocytochemical staining with CD44, ProExC, Laminin, and Fascin.

RESULTS

The diagnosis of Ta-stage tumors was done according to the following immunohistochemical (IHC) profile [positive (+ve) CD44, negative (-ve) proExC, -ve Laminin, and -ve Fascin] with 100% sensitivity, 100% specificity. The diagnosis of Tis stage tumors was done according to IHC profile [-ve CD44, +ve proExC, -ve Laminin, and -ve Fascin] with 100% sensitivity, 93% specificity. The diagnosis of T1 stage tumors according to IHC profile [-ve CD44, +ve proExC, +ve Laminin, and -ve Fascin] with 100% sensitivity, 97% specificity, The diagnosis of T2 and T3 stage tumors was done according to IHC profile [-ve CD44, +ve proExC, +ve Laminin and weak to moderate +ve Fascin] with 100% sensitivity, 92% specificity, while the diagnosis of T4 stage tumors according to the IHC profile [-ve CD44, +ve proExC, +ve Laminin, and intense +ve Fascin] with 100% sensitivity, 100% specificity.

CONCLUSION

Using (CD44, ProExC, Laminin, and Fascin) on urinary cytology is a simple, reliable, and noninvasive method for the staging of urothelial carcinoma with 99% total accuracy.

Aristolochic acid and its effect on different cancers in uro-oncology

PURPOSE OF REVIEW

To acquaint urologists with aristolochic acid nephropathy, an iatrogenic disease that poses a distinct threat to global public health. In China alone, 100 million people may currently be at risk. We illustrate the power of molecular epidemiology in establishing the cause of this disease.

RECENT FINDINGS

Molecular epidemiologic approaches and novel mechanistic information established a causative linkage between exposure to aristolochic acid and urothelial carcinomas of the bladder and upper urinary tract. Noninvasive tests are available that detect urothelial cancers through the genetic analysis of urinary DNA. Combined with cytology, some of these tests can detect 95% of patients at risk of developing bladder and/or upper urothelial tract cancer. Robust biomarkers, including DNA-adduct and mutational signature analysis, unequivocally identify aristolochic acid-induced tumours. The high mutational load associated with aristolochic acid-induced tumours renders them candidates for immune-checkpoint therapy.

SUMMARY

Guided by recent developments that facilitate early detection of urothelial cancers, the morbidity and mortality associated with aristolochic acid-induced bladder and upper tract urothelial carcinomas may be substantially reduced. The molecular epidemiology tools that define aristolochic acid-induced tumours may be applicable to other studies assessing potential environmental carcinogens.

Ureteral and urethral recurrence after radical cystectomy: a systematic review

PURPOSE OF REVIEW

The clinical significance of ureteral and urethral recurrence in patients treated with radical cystectomy for bladder cancer is scarce and heterogeneous. The aim of the current review is to summarize the recent literature on incidence, diagnosis and oncologic outcomes of ureteral and urethral recurrences after radical cystectomy.

RECENT FINDINGS

Frozen section analysis (FSA) of ureteral margin had a sensitivity and specificity of 69-77 and 83-96%, respectively. Considering the ureteral margin, the reported sensitivity and specificity were 33-93 and 99-100%, respectively. Transurethral biopsy of the prostatic urethra might help in counseling patients' treatment, although its accuracy and prognostic role is highly questionable. In patients treated with radical cystectomy, recurrence of the urethra or ureteral are rare, occurring approximately in 5% of patients. During the follow-up, urinary cytology and cross-sectional imaging improve the early detection of recurrence in asymptomatic patients, although the majority are diagnosed for symptomatic presentation. Their use should be tailored to the patient's risk of ureteral and/or urethral recurrence. Urethrectomy is indicated in case of singular urethral recurrence, whereas no clear data exists regarding the best management of ureteral recurrence, except surgical removal.

SUMMARY

Intraoperative FSA of ureters and urethra share good specificity but poor sensitivity. Recurrence at urethra and upper tract are rare and discordant data exists regarding survival outcomes. Oncologic surveillance after radical cystectomy with the aim to detect these recurrences should be tailored to the individualized patient's risk.

Diagnostic challenges and treatment strategies in the management of upper-tract urothelial carcinoma

Upper-tract urothelial carcinoma (UTUC) is a rare disease, posing many challenges for the treating physician due to the lack of strong evidence-based recommendations. However, novel molecular discoveries and a better understanding of the clinical behavior of the disease lead to a continuous evolution of therapeutic landscape in UTUC. The aim of the review is to provide a comprehensive update of the current diagnostic modalities and treatment strategies in UTUC with a special focus on recent developments and challenges. A comprehensive literature search including relevant articles up to August 2020 was performed using the MEDLINE/PubMed database. Despite several technological improvements, accurate staging and outcome prediction remain major challenges and hamper appropriate risk stratification. Kidney-sparing surgery can be offered in low risk UTUC; however, physician and patient must be aware of the high rate of recurrence and risk of progression due to tumor biology and understaging. The value and efficacy of intracavitary therapy in patients with UTUC remains unclear due to the lack of high-quality data. In high-risk diseases, radical nephroureterectomy with bladder cuff excision and template lymph node dissection is the standard of care. Perioperative systemic chemotherapy is today accepted as a novel standard for advanced cancers. In metastatic or unresectable disease, the therapeutic landscape is rapidly changing due to several novel agents, such as checkpoint inhibitors. While several diagnostic and treatment challenges remain, progress in endoscopic technology and molecular knowledge have ushered a new age in personalized management of UTUC. Novel accurate molecular and imaging biomarkers are, however, still needed to guide decision making as tissue acquisition remains suboptimal. Next generation sequencing and novel agents are promising to rapidly improve patient outcomes.

A Diagnostic Nomogram of Pathologic Grade for Preoperative Risk Stratification in Upper Tract Urothelial Carcinoma

Background:

To develop a novel nomogram to improve the preoperative diagnosis of pathological grade of upper tract urothelial carcinoma (UTUC).

Methods:

Retrospective study was conducted with 245 patients with UTUC treated by radical nephroureterectomy from 2002 to 2016. Of the cohort, 57.6% received ureteroscopic (URS) biopsy and 35.9% received urine cytology examination. Preoperative clinical characteristics and examination results were collected. Final pathological grade was diagnosed by postoperative pathology. Univariable and multivariable binary logistic regressions were applied to establish a preoperative predictive model for tumor grade, and significant factors were included in the nomogram. The area under curve (AUC) was used to show the predictive efficacy, and the calibration plot was drawn for validation.

Results:

Of the 245 patients, 72.7% were diagnosed with pathological high-grade disease. Age (odds ratio [OR] = 1.03, P = .039), sessile (OR = 3.86, P = .021), positive urinary cytology (OR = 6.87, P = .035), and biopsy high-grade result (OR = 10.85, P < .001) were independent predictors for pathological high-grade disease. The predictive nomogram containing these factors achieved an AUC of 0.78, which was significantly better than URS biopsy alone (AUC = 0.62, P = .003) in the whole cohort. In the URS biopsy subgroup, the nomogram achieved an AUC of 0.79, better than biopsy alone (AUC = 0.76), but was not statistically significant (P = .431). When the cutoff value of the nomogram was set at 0.64, the sensitivity of detecting a high-grade lesion versus low-grade lesion was 80.3%, better than that of URS biopsy alone (sensitivity = 65.7%).

Conclusions:

Advanced age, sessile, positive urinary cytology, and biopsy high-grade were independent predictors of pathological high-grade disease in patients with UTUC. A nomogram containing these factors can improve diagnostic accuracy, potentially reducing the risk of “undergrading” by URS biopsy.

Phenotypic Analysis of Urothelial Exfoliated Cells in Bladder Cancer via Microfluidic Immunoassays: Sialyl-Tn as a Novel Biomarker in Liquid Biopsies

Bladder cancer is the most common malignancy of the urinary tract, having one of the highest recurrence rates and progression from non-muscle to muscle invasive bladder cancer that commonly leads to metastasis. Cystoscopy and urine cytology are the standard procedures for its detection but have limited clinical sensitivity and specificity. Herein, a microfluidic device, the UriChip, was developed for the enrichment of urothelial exfoliated cells from fresh and frozen urine, based on deformability and size, and the cancer-associated glycan Sialyl-Tn explored as a putative bladder cancer urinary biomarker. Spiking experiments with bladder cancer cell lines showed an isolation efficiency of 53%, while clinical sample analyses revealed retention of cells with various morphologies and sizes. in situ immunoassays demonstrated significantly higher number of Sialyl-Tn-positive cells in fresh and frozen voided urine from bladder cancer patients, compared to healthy individuals. Of note, urothelial exfoliated cells from cryopreserved urine sediments were also successfully isolated by the UriChip, and found to express significantly high levels of Sialyl-Tn. Remarkably, Sialyl-Tn expression is correlated with tumor stage and grade. Overall, our findings demonstrate the potential of UriChip and Sialyl-Tn to detect urothelial bladder cancer cells in follow-up and long-term retrospective studies.

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.

Current status of genetic urinary biomarkers for surveillance of non-muscle invasive bladder cancer: a systematic review

Background

Genetic biomarkers are a promising and growing field in the management of bladder cancer in all stages. The aim of this paper is to understand the role of genetic urinary biomarkers in the follow up of patients with non muscle invasive bladder cancer where there is increasing evidence that they can play a role in avoiding invasive techniques.

Methods

Following PRISMA criteria, we have performed a systematic review. The search yielded 164 unique articles, of which 21 articles were included involving a total of 7261 patients. Sixteen of the articles were DNA based biomarkers, analyzing different methylations, microsatellite aberrations and gene mutations. Five articles studied the role of RNA based biomarkers, based on measuring levels of different combinations of mRNA. QUADAS2 critical evaluation of each paper has been reported.

Results

There are not randomized control trials comparing any biomarker with the gold standard follow-up, and the level of evidence is 2B in almost all the studies. Negative predictive value varies between 55 and 98.5%, being superior in RNA based biomarkers.

Conclusions

Although cystoscopy and cytology are the gold standard for non muscle invasive bladder cancer surveillance, genetic urinary biomarkers are a promising tool to avoid invasive explorations to the patients with a safe profile of similar sensitivity and negative predictive value. The accuracy that genetic biomarkers can offer should be taken into account to modify the paradigm of surveillance in non muscle invasive bladder cancer patients, especially in high-risk ones where many invasive explorations are recommended and biomarkers experiment better results.

Bladder cancer hunting: A microfluidic paper-based analytical device

Bladder cancer is the fourth most common cancer in men, and it is becoming a prevalent malignancy. Most of the regular clinical examinations are prompt evaluations with cystoscopy, renal function testing, which require high-precision instrument, well-trained operators, and high cost. In this study, a microfluidic paper-based analytical device (μPAD) was fabricated to detect nuclear matrix protein 22 (NMP22) and bladder cancer antigen (BTA) from the urine samples. Urine samples were collected from 11 bladder cancer patients and 10 well-beings as experiment and control groups, respectively, to verify the working efficiency of μPAD. A remarkable checkout efficiency of up to 90.91% was found from the results. Meanwhile, this method is feasible for home-based self-detection from urine samples within 10 min for the total process, which provides a new way for quick, economical, and convenient tumor diagnosis, prognosis evaluation, and drug response.

Urinary Biomarkers in Bladder Cancer: Where Do We Stand and Potential Role of Extracellular Vesicles

Extracellular vesicles (EVs) are small membrane vesicles released by all cells and involved in intercellular communication. Importantly, EVs cargo includes nucleic acids, lipids, and proteins constantly transferred between different cell types, contributing to autocrine and paracrine signaling. In recent years, they have been shown to play vital roles, not only in normal biological functions, but also in pathological conditions, such as cancer. In the multistep process of cancer progression, EVs act at different levels, from stimulation of neoplastic transformation, proliferation, promotion of angiogenesis, migration, invasion, and formation of metastatic niches in distant organs, to immune escape and therapy resistance. Moreover, as products of their parental cells, reflecting their genetic signatures and phenotypes, EVs hold great promise as diagnostic and prognostic biomarkers. Importantly, their potential to overcome the current limitations or the present diagnostic procedures has created interest in bladder cancer (BCa). Indeed, cystoscopy is an invasive and costly technique, whereas cytology has poor sensitivity for early staged and low-grade disease. Several urine-based biomarkers for BCa were found to overcome these limitations. Here, we review their potential advantages and downfalls. In addition, recent literature on the potential of EVs to improve BCa management was reviewed and discussed.