Bladder cancer risk stratification with the Oncuria 10-plex bead-based urinalysis assay using three different Luminex xMAP instrumentation platforms.

BACKGROUND: No single marker of bladder cancer (BC) exists in urine samples with sufficient accuracy for disease diagnosis and treatment monitoring. The multiplex Oncuria BC assay noninvasively quantifies the concentration of 10 protein analytes in voided urine samples to quickly generate a unique molecular profile with proven BC diagnostic and treatment-tracking utility. Test adoption by diagnostic and research laboratories mandates reliably reproducible assay performance across a variety of instrumentation platforms used in different laboratories. METHODS: We compared the performance of the clinically validated Oncuria BC multiplex immunoassay when data output was generated on three different analyzer systems. Voided urine samples from 36 subjects (18 with BC and 18 Controls) were reacted with Oncuria test reagents in three 96-well microtiter plates on Day 1, and consecutively evaluated on the LED/image-based MagPix, and laser/flow-based Luminex 200 and FlexMap 3D (all xMAP instruments from Luminex Corp., Austin, TX) on Day 2. The BC assay uses magnetic bead-based fluorescence technology (xMAP, Multi-analyte profiling; Luminex) to simultaneously quantify 10 protein analytes in urine specimens [i.e., angiogenin (ANG), apolipoprotein E (ApoE), carbonic anhydrase IX (CA9), CXCL8/interleukin-8 (IL-8), matrix metalloproteinase-9 (MMP-9), matrix metalloproteinase-10 (MMP-10), serpin A1/alpha-1 anti-trypsin (A1AT), serpin E1/plasminogen activator inhibitor-1 (PAI-1), CD138/syndecan-1 (SDC1), and vascular endothelial growth factor-A (VEGF-A)]. All three analyzers quantify fluorescence signals generated by the Oncuria assay. RESULTS: All three platforms categorized all 10 analytes in identical samples at nearly identical concentrations, with variance across systems typically < 5%. While the most contemporary instrument, the FlexMap 3D, output higher raw fluorescence values than the two comparator systems, standard curve slopes and analyte concentrations determined in urine samples were concordant across all three units. Forty-four percent of BC samples registered ≥ 1 analyte above the highest standard concentration, i.e., A1AT (n = 7/18), IL-8 (n = 5), and/or ANG (n = 2), while only one control sample registered an analyte (A1AT) above the highest standard concentration. CONCLUSION: Multiplex BC assays generate detailed molecular signatures useful for identifying BC, predicting treatment responsiveness, and tracking disease progression and recurrence. The similar performance of the Oncuria assay across three different analyzer systems supports test adaptation by clinical and research laboratories using existing xMAP platforms. TRIAL REGISTRATION: This study was registered at ClinicalTrials.gov as NCT04564781, NCT03193528, NCT03193541, and NCT03193515.

Simplex Droplet Digital PCR Assays for the Detection of TERT Promoter Mutations in Urine Samples for the Non-invasive Diagnosis of Urothelial Cancer.

Somatic mutations in the telomerase reverse transcriptase (TERT) promoter region are highly frequent in urothelial cancer (UC), and their detection in urine (cell-free DNA from the urine supernatant or DNA from exfoliated cells in the urine pellet) has demonstrated promising evidence as putative non-invasive biomarkers for UC detection and monitoring. However, detecting these tumour-derived mutations in urine requires highly sensitive methods, capable of measuring low-allelic fraction mutations. We developed sensitive droplet digital PCR (ddPCR) assays for detecting urinary TERT promoter mutations (uTERTpm), targeting the two most common mutations (C228T and C250T), as well as the rare A161C, C228A, and CC242-243TT mutations. Here, we described the step-by-step protocol uTERTpm mutation screening using simplex ddPCR assays and give some recommendations for isolation of DNA from urine samples. We also provide limits of detection for the two most frequent mutations and discuss advantages of the method for clinical implementation of the assays for the detection and monitoring of UC.

Evaluation of Sensitive Urine DNA-Based PENK Methylation Test for Detecting Bladder Cancer in Patients with Hematuria.

Hematuria is a prevalent symptom associated with bladder cancer (BC). However, the invasiveness and cost of cystoscopy, the current gold standard for BC diagnosis in patients with hematuria, necessitate the development of a sensitive and accurate noninvasive test. This study introduces and validates a highly sensitive urine-based DNA methylation test. The test improves sensitivity in detecting PENK methylation in urine DNA using linear target enrichment followed by quantitative methylation-specific PCR. In a case-control study comprising 175 patients with BC and 143 patients without BC with hematuria, the test's optimal cutoff value was determined by distinguishing between two groups, achieved an overall sensitivity of 86.9% and a specificity of 91.6%, with an area under the curve of 0.892. A prospective validation clinical study involving 366 patients with hematuria scheduled for cystoscopy assessed the test's performance. The test demonstrated an overall sensitivity of 84.2% in detecting 38 cases of BC, a specificity of 95.7%, and an area under the curve of 0.900. Notably, the sensitivity for detecting Ta high grade and higher stages of BC reached 92.3%. The test's negative predictive value was 98.2%, and the positive predictive value was 68.7%. These findings highlight the potential of the PENK methylation in urine DNA using linear target enrichment followed by quantitative methylation-specific PCR test in urine as a promising molecular diagnostic tool for detecting primary BC in patients with hematuria, which may reduce the need for cystoscopy.

Urine pH and Risk of Bladder Cancer in Northern New England.

BACKGROUND: Acidic urine pH is associated with rapid hydrolysis of N-glucuronide conjugates of aromatic amines into metabolites that may undergo metabolism in the bladder lumen to form mutagenic DNA adducts. We previously reported that consistently acidic urine was associated with increased bladder cancer risk in a hospital-based case-control study in Spain. Here, we conducted a separate study in northern New England to replicate these findings. METHODS: In a large, population-based case-control study conducted in Maine, New Hampshire, and Vermont, we examined bladder cancer risk in relation to consistent urine pH, measured twice daily by participants over 4 consecutive days using dipsticks. In parallel, we collected spot urine samples and conducted laboratory measurements of urinary acidity using a pH meter. Unconditional logistic regression was used to estimate associations, adjusting for age, gender, race, Hispanic status, and state. Analyses were further stratified by smoking status. RESULTS: Among 616 urothelial carcinoma cases and 897 controls, urine pH consistently ≤ 6.0 was associated with increased bladder cancer risk (OR = 1.27; 95% confidence interval, 1.02-1.57), with the effect limited to ever-smokers. These findings were supported by analyses of a spot urine, with statistically significant exposure-response relationships for bladder cancer risk overall (Ptrend = 5.1×10-3) and among ever-smokers (Ptrend = 1.2×10-3). CONCLUSIONS: Consistent with a previous study in Spain, our findings suggest that acidic urine pH is associated with increased bladder cancer risk. IMPACT: Our findings align with experimental results showing that acidic urine pH, which is partly modifiable by lifestyle factors, is linked to hydrolysis of acid-labile conjugates of carcinogenic aromatic amines.

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.

Global Meta-analysis of Urine Microbiome: Colonization of Polycyclic Aromatic Hydrocarbon-degrading Bacteria Among Bladder Cancer Patients.

BACKGROUND: The application of next-generation sequencing techniques has enabled characterization of urinary tract microbiome. Although many studies have demonstrated associations between the human microbiome and bladder cancer (BC), these have not always reported consistent results, thereby necessitating cross-study comparisons. Thus, the fundamental questions remain how we can utilize this knowledge. OBJECTIVE: The aim of our study was to examine the disease-associated changes in urine microbiome communities globally utilizing a machine learning algorithm. DESIGN, SETTING, AND PARTICIPANTS: Raw FASTQ files were downloaded for the three published studies in urinary microbiome in BC patients, in addition to our own prospectively collected cohort. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Demultiplexing and classification were performed using the QIIME 2020.8 platform. De novo operational taxonomic units were clustered using the uCLUST algorithm and defined by 97% sequence similarity and classified at the phylum level against the Silva RNA sequence database. The metadata available from the three studies included were used to evaluate the differential abundance between BC patients and controls via a random-effect meta-analysis using the metagen R function. A machine learning analysis was performed using the SIAMCAT R package. RESULTS AND LIMITATIONS: Our study includes 129 BC urine and 60 healthy control samples across four different countries. We identified a total of 97/548 genera to be differentially abundant in the BC urine microbiome compared with that of healthy patients. Overall, while the differences in diversity metrics were clustered around the country of origin (Kruskal-Wallis, p < 0.001), collection methodology was a driver of microbiome composition. When assessing dataset from China, Hungary, and Croatia, data demonstrated no discrimination capacity to distinguish between BC patients and healthy adults (area under the curve [AUC] 0.577). However, inclusion of samples with catheterized urine improved the diagnostic accuracy of prediction for BC to AUC 0.995, with precision-recall AUC = 0.994. Through elimination of contaminants associated with the collection methodology among all cohorts, our study identified increased abundance of polycyclic aromatic hydrocarbon (PAH)-degrading bacteria Sphingomonas, Acinetobacter, Micrococcus, Pseudomonas, and Ralstonia to be consistently present in BC patients. CONCLUSIONS: The microbiota of the BC population may be a reflection of PAH exposure from smoking, environmental pollutants, and ingestion. Presence of PAHs in the urine of BC patients may allow for a unique metabolic niche and provide necessary metabolic resources where other bacteria are not able to flourish. Furthermore, we found that while compositional differences are associated with geography more than with disease, many are driven by the collection methodology. PATIENT SUMMARY: The goal of our study was to compare the urine microbiome of bladder cancer patients with that of healthy controls and evaluate any potential bacteria that may be more likely to be found in patients with bladder cancer. Our study is unique as it evaluates this across multiple countries, to find a common pattern. After we removed some of the contamination, we were able to localize several key bacteria that are more likely to be found in the urine of bladder cancer patients. These bacteria all share their ability to break down tobacco carcinogens.

Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection.

Mutations at specific hotspots in non-coding regions of ADGRG6, PLEKHS1, WDR74, TBC1D12 and LEPROTL1 frequently occur in bladder cancer (BC). These mutations could function as biomarkers for the non-invasive detection of BC but this remains largely unexplored. Massively-parallel sequencing of non-coding hotspots was applied to 884 urine cell pellet DNAs: 591 from haematuria clinic patients (165 BCs, 426 non-BCs) and 293 from non-muscle invasive BC surveillance patients (29 with recurrence). Urine samples from 142 non-BC haematuria clinic patients were used to optimise variant calling. Non-coding mutations are readily detectable in the urine of BC patients and undetectable, or present at much lower frequencies, in the absence of BC. The mutations can be used to detect incident BC with 66% sensitivity (95% CI 58-75) at 92% specificity (95% CI 88-95) and recurrent disease with 55% sensitivity (95% CI 36-74) at 85% specificity (95% CI 80-89%) using a 2% variant allele frequency threshold. In the NMIBC surveillance setting, the detection of non-coding mutations in urine in the absence of clinically detectable disease was associated with an increased relative risk of future recurrence (RR = 4.62 (95% CI 3.75-5.48)). As urinary biomarkers, non-coding hotspot mutations behave similarly to driver mutations in BC-associated genes and could be included in biomarker panels for BC detection.

Highly Sensitive and Specific Detection of Bladder Cancer via Targeted Ultra-deep Sequencing of Urinary DNA.

BACKGROUND: There is an unmet need for an accurate, validated, noninvasive test for diagnosing and monitoring bladder cancer (BC). Detection of BC-associated mutations in urinary DNA via targeted deep sequencing could meet this need. OBJECTIVE: To test the ability of mutational analysis of urinary DNA to noninvasively detect BC within the context of haematuria investigations and non-muscle-invasive BC (NMIBC) surveillance. DESIGN, SETTING, AND PARTICIPANTS: Capture-based ultra-deep sequencing was performed for 443 somatic mutations in 23 genes in 591 urine cell-pellet DNAs from haematuria clinic patients and 293 from NMIBC surveillance patients. Variant calling was optimised to minimise false positives using urine samples from 162 haematuria clinic patients without BC. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The sensitivity and specificity for BC diagnosis were determined. RESULTS AND LIMITATIONS: Mutational analysis of urinary DNA detected 144 of the 165 haematuria patients diagnosed with incident BC from two independent cohorts, yielding overall sensitivity of 87.3% (95% confidence interval [CI] 81.2-92.0%) at specificity of 84.8% (95% CI 79.9-89.0%). The sensitivity was 97.4% for grade 3, 86.5% for grade 2, and 70.8% for grade 1 BC. Among NMIBC surveillance patients, 25 out of 29 recurrent BCs were detected, yielding sensitivity of 86.2% (95% CI 70.8-97.7%) at specificity of 62.5% (95% CI 56.1-68.0%); a positive urine mutation test in the absence of clinically detectable disease was associated with a 2.6-fold increase in the risk of future recurrence. The low number of recurrences in the NMIBC surveillance cohort and the lower sensitivity for detecting grade 1 pTa BC are limitations. CONCLUSIONS: Detection of mutations in a small panel of BC-associated genes could facilitate noninvasive BC testing and expedite haematuria investigations. Following further validation, the test could also play a role in NMIBC surveillance. PATIENT SUMMARY: Identification of alterations in genes that are frequently mutated in bladder cancer appears to be a promising strategy for detecting disease from urine samples and reducing reliance on examination of the bladder via a telescopic camera inserted through the urethra.

Urinary Analysis of FGFR3 and TERT Gene Mutations Enhances Performance of Cxbladder Tests and Improves Patient Risk Stratification.

PURPOSE: Cxbladder tests are urinary biomarker tests for detection of urothelial carcinoma. We developed enhanced Cxbladder tests that incorporate DNA analysis of 6 single nucleotide polymorphisms for the FGFR3 and TERT genes, in addition to the current 5 mRNA biomarkers and clinical risk factors. MATERIALS AND METHODS: Two multicenter, prospective studies were undertaken in: (1) U.S. patients with gross hematuria aged ≥18 years and (2) Singaporean patients with gross hematuria or microhematuria aged >21 years. All patients provided a midstream urine sample and underwent cystoscopy. Samples were retrospectively analyzed using enhanced Cxbladder-Triage (risk stratifies patients), enhanced Cxbladder-Detect (risk stratifies patients and detects positive patients), and the combination enhanced Cxbladder-Triage × Cxbladder-Detect. RESULTS: In the pooled cohort (N=804; gross hematuria: n=484, microhematuria: n=320), enhanced Cxbladder-Detect had a sensitivity of 97% (95% CI 89%-100%), specificity of 90% (95% CI 88%-92%), and negative predictive value of 99.7% (95% CI 99%-100%) for detection of urothelial carcinoma. Overall, 83% of patients were enhanced Cxbladder-Detect-negative (ie, needed no further work-up). Of 133 enhanced Cxbladder-Detect-positive patients, 59 had a confirmed tumor, of which 19 were low-grade noninvasive papillary carcinoma or papillary urothelial neoplasm of low malignant potential. In total, 40 tumors were high-grade Ta, T1-T4, Tis, including concomitant carcinoma in situ. Of the 74 patients with normal cystoscopy, 41 were positive by single nucleotide polymorphism analysis. Enhanced Cxbladder-Triage and enhanced Cxbladder-Detect had significantly better specificity than the first-generation Cxbladder tests (P < .001). CONCLUSIONS: This study in ethnically diverse patients with hematuria showed the analytical validity of the enhanced Cxbladder tests.

Bladder cancer is associated with decreased urinary microbiota diversity and alterations in microbial community composition.

INTRODUCTION: Human urine microbiota (UM) research has uncovered associations between composition of microbial communities of the lower urinary tract and various disease states including several reports on the putative link between UM and bladder cancer (BC). The aim of this study was to investigate male UM in patients with BC and controls using catheterised urine specimens unlike in previous studies. METHODS: Urine samples were obtained in theatre after surgical prepping and draping using aseptic catheterisation. DNA was extracted and hypervariable region V4 of the 16S rRNA gene was amplified using 515F and 806R primers. Sequencing was performed on Illumina MiSeq platform. Sequencing data were processed using appropriate software tools. Alpha diversity measures were calculated and compared between groups. Prevalence Interval for Microbiome Evaluation was used to test differences in beta diversity. RESULTS: A total of 63 samples were included in the analysis. Mean age of study subjects was 65.1 years (SD 12.5). Thirty-four men had bladder cancer and 29 participants were undergoing interventions for benign conditions (benign prostate hyperplasia or upper urinary tract stone disease). BC patients had lower UM richness and diversity than controls (83 vs. 139 operational taxonomic units, P = 0.015; Shannon index: 2.46 vs. 2.94, P = 0.049). There were specific taxa enriched in cancer (Veillonella, Varibaculum, Methylobacterium-Methylorubrum) and control groups (Pasteurella, Corynebacterium, Acinetobacter), respectively. CONCLUSION: BC patients had lower bladder microbiota richness and diversity than controls. Specific genera were enriched in cancer and control groups, respectively. These results corroborate some of previous reports while contradicting others. Future microbiota research would benefit from parallel transcriptomic/metabolomic analysis.

Noninvasive Multiplexed Analysis of Bladder Cancer-Derived Urine Exosomes via Janus Magnetic Microspheres.

Bladder cancer greatly endangers human health, and its early diagnosis is of vital importance. Exosomes, which contain proteins and nucleic acids related to their source cells, are expected to be an emerging biomarker for bladder cancer detection. Here, we propose a novel system for multiplexed analysis of bladder cancer-derived urine exosomes based on Janus magnetic microspheres as barcoded microcarriers. The microcarriers are constructed by droplet-templated coassembly of colloidal silica nanoparticles and magnetic nanoparticles under a magnetic field. The microcarriers possess one hemisphere with structural color and the other hemisphere with magneto-responsiveness. Benefiting from the unique structure, these Janus microcarriers could serve as barcodes and could move controllably in a sample solution, thus realizing the multiplex detection of exosomes with high sensitivity. Notably, the present platform is noninvasive since a urine specimen, as an ideal source of bladder cancer-derived exosomes, is employed as the sample solution. This feature, together with the good sensitivity, specificity, low sample consumption, and easy operation, indicates the great potential of the platform for bladder cancer diagnosis in clinical applications.

"Seeing" invisible volatile organic compound (VOC) marker of urinary bladder cancer: A development from bench to bedside prototype spectroscopic device.

Urinary bladder cancer (UBC) is one of the most common cancers and has notoriously high risk of recurrence and mortality across the globe. Current clinical initial diagnostic approaches are either invasive or lacks sensitivity. In this study, an attempt has been made to invent a cost-effective, novel, portable diagnostic device based on the environmental sensitive fluorophores namely Nile Red (NR), Eosin Y (EY) and Rose Bengal (RB). They act as sensing agents for detecting volatile organic compounds (VOC) exclusively present in the urine sample of UBC patients and differentiate the UBC samples from the healthy control group. Upon exposure with a particular group of VOCs, a significant amount of increment in fluorescence intensities of NR, EY and RB were detected and recorded in our indigenously developed "NABIL" device. To check the performance of NABIL, the data collected from the device was compared with the conventional techniques by arranging a clinical trial with 21 healthy controls and 52 UBC patients. With the assistance of our analysis technique based on LabVIEW platform, very high sensitivity and accuracy from healthy controls have been achieved. For UBC patients, it shows impressive diagnostic results. In addition, depending on the sample processing mechanism, NABIL device can also reveal the grade of UBC and prognosis under treatment. Overall, this study contributes a novel, non-invasive, easy-to-use, inexpensive, real-time, accurate method for selectively UBC diagnosis, which can be useful for personalized care/diagnosis and postoperative surveillance, resulting in saving more lives.

Multicentric validation of diagnostic tests based on BC-116 and BC-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients.

BACKGROUND: Non-invasive urine-based biomarkers can potentially improve current diagnostic and monitoring protocols for bladder cancer (BC). Here we assess the performance of earlier published biomarker panels for BC detection (BC-116) and monitoring of recurrence (BC-106) in combination with cytology, in two prospectively collected patient cohorts. METHODS: Of the 602 patients screened for BC, 551 were found eligible. For the primary setting, 73 patients diagnosed with primary BC (n = 27) and benign urological disorders, including patients with macroscopic haematuria, cystitis and/or nephrolithiasis (n = 46) were included. In total, 478 patients under surveillance were additionally considered (83 BC recurrences; 395 negative for recurrence). Urine samples were analysed with capillary electrophoresis-mass spectrometry. The biomarker score was estimated via support vector machine-based software. RESULTS: Validation of BC-116 biomarker panel resulted in 89% sensitivity and 67% specificity (AUCBC-116 = 0.82). A diagnostic score based on cytology and BC-116 resulted in good (AUCNom116 = 0.85) but not significantly better performance (P = 0.5672). A diagnostic score including BC-106 and cytology was evaluated (AUCNom106 = 0.82), significantly outperforming both cytology (AUCcyt = 0.72; P = 0.0022) and BC-106 (AUCBC-106 = 0.67; P = 0.0012). CONCLUSIONS: BC-116 biomarker panel is a useful test for detecting primary BC. BC-106 classifier integrated with cytology showing >95% negative predictive value, might be useful for decreasing the number of cystoscopies during surveillance.

Luminophore Chemistry for Detection of Urinary Bladder Cancer - Comparison to Cytology and Urinary Rapid Tests (BTA stat®, NMP22® BladderChek® and UBC® Rapid Test).

BACKGROUND/AIM: New luminometric chelates were developed for the detection of urinary bladder cancer and compared to cytology and urinary rapid tests BTA stat®, NMP22® BladderChek® and UBC® Rapid Test. MATERIALS AND METHODS: This single-center study analyzed urine from two different cohorts: Firstly, a retrospective pilot cohort (n=27) and secondly a prospective validation cohort (n=60) including patients with bladder cancer and healthy controls. The samples were studied with nine different terbium and europium chelates to detect cancer cases. After identification of an efficient luminophore in the first cohort, the second validation cohort was run with the selected chelates to re-evaluate the results and compare them with urinary rapid tests and cytology. RESULTS: The compared methods showed area under the curve (AUC) values ranging from 0.567 to 0.767. Tb3+-chelate-based assay detected high-grade cancer cases (p=0.035) with an AUC of 0.663. The Eu-probe signal level was higher in cancer cases of any grade than in healthy controls (p=0.001) with an AUC of 0.759. The Eu-probe had a sensitivity of 46.7% and a specificity of 100% in cancer detection. CONCLUSION: Evaluation of terbium and europium chelates for the detection of urinary bladder cancer showed highest specificity among all methods and improved overall performance (characterized by AUC) compared to commercial urine-based rapid tests and cytology. The Eu-probe has the potential to be clinically valuable in urine-based detection of bladder cancer, especially for high-grade cancer.

BladMetrix: a novel urine DNA methylation test with high accuracy for detection of bladder cancer in hematuria patients.

BACKGROUND: Cystoscopy is the gold standard for bladder cancer detection, but is costly, invasive and has imperfect diagnostic accuracy. We aimed to identify novel and accurate DNA methylation biomarkers for non-invasive detection of bladder cancer in urine, with the potential to reduce the number of cystoscopies among hematuria patients. RESULTS: Biomarker candidates (n = 32) were identified from methylome sequencing of urological cancer cell lines (n = 16) and subjected to targeted methylation analysis in tissue samples (n = 60). The most promising biomarkers (n = 8) were combined into a panel named BladMetrix. The performance of BladMetrix in urine was assessed in a discovery series (n = 112), consisting of bladder cancer patients, patients with other urological cancers and healthy individuals, resulting in 95.7% sensitivity and 94.7% specificity. BladMetrix was furthermore evaluated in an independent prospective and blinded series of urine from patients with gross hematuria (n = 273), achieving 92.1% sensitivity, 93.3% specificity and a negative predictive value of 98.1%, with the potential to reduce the number of cystoscopies by 56.4%. CONCLUSIONS: We here present BladMetrix, a novel DNA methylation urine test for non-invasive detection of bladder cancer, with high accuracy across tumor grades and stages, and the ability to spare a significant number of cystoscopies among patients with gross hematuria.

[Single-Domain Antibodies Used to Pretreat the Human Urinary Proteome in Cancer Biomarker Testing].

A number of single-domain antibodies (nanobodies) obtained previously to major marker blood proteins were tested as tools to preprocess urine samples from patients with bladder cancer. Nanobody-based tools demonstrated unique possibilities for noninvasive diagnostic studies along with other conventional methods, such as electrophoresis and, in prospect, mass spectrometric analysis. A testing of 22 samples from bladder cancer patients showed that the development of bladder cancer is accompanied by an increase in the urine contents of major blood proteins, including those known as potential bladder cancer biomarkers. New nanobody-based immunosorbents allow both specific enrichment and specific removal of particular antigenic proteins and subproteomes associated with them from a biological fluid. The isolation of immune complexes from the urine of a particular patient is of particular interest. An initial study of the complexes showed not only increased contents of IgA and IgG at advanced stages of the disease, but also many other components, which provide potential biomarkers of the pathological process in a particular patient. It is intended to use the approaches proposed in this work in a future larger-scale study of urine samples from patients with bladder cancer at different stages of the disease in order to identify new promising biomarkers of bladder cancer.

RNA-based urinary assays for non-muscle invasive bladder cancer.

PURPOSE OF REVIEW: To provide an overview of the recent literature on RNA-based molecular urine assays for the diagnosis and surveillance of non-muscle invasive bladder cancer (NMIBC). RECENT FINDINGS: Articles were eligible for inclusion if performance metrics sensitivity, specificity, and negative-predictive value (NPV) were reported or could be calculated. Only prospective studies published between 2020-2022 were included. Five out of fourteen studies addressed the primary diagnostic setting; the proportion of gross hematuria patients in all study populations was >50%. Only one study reported performance metrics within a microscopic hematuria subgroup. This study evaluated Xpert Bladder and reported a sensitivity: 73%, specificity: 84%, NPV: 99%, and PPV: 12%. Ten studies assessed test performance during surveillance for NMIBC. For the detection of high-grade (HG) and high-risk (HR) NMIBC, sensitivity, specificity, NPV, and PPV varied between 78-100%, 64-89%, 97.0-99.7%, and 9.2-39%. SUMMARY: Multiple RNA-based urine assays have been investigated for the detection of urothelial cancer in the primary or surveillance setting. However, studies included within this review have important limitations, hampering the interpretation of study results. As such, performance metrics should be interpreted with caution and further research is required to evaluate the clinical impact of RNA-based urine assays in daily practice.

Profiling of Urine Carbonyl Metabolic Fingerprints in Bladder Cancer Based on Ambient Ionization Mass Spectrometry.

The diagnosis of bladder cancer (BC) is currently based on cystoscopy, which is invasive and expensive. Here, we describe a noninvasive profiling method for carbonyl metabolic fingerprints in BC, which is based on a desorption, separation, and ionization mass spectrometry (DSI-MS) platform with N,N-dimethylethylenediamine (DMED) as a differential labeling reagent. The DSI-MS platform avoids the interferences from intra- and/or intersamples. Additionally, the DMED derivatization increases detection sensitivity and distinguishes carboxyl, aldehyde, and ketone groups in untreated urine samples. Carbonyl metabolic fingerprints of urine from 41 BC patients and 41 controls were portrayed and 9 potential biomarkers were identified. The mechanisms of the regulations of these biomarkers have been tentatively discussed. A logistic regression (LR) machine learning algorithm was applied to discriminate BC from controls, and an accuracy of 85% was achieved. We believe that the method proposed here may pave the way toward the point-of-care diagnosis of BC in a patient-friendly manner.

Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer.

BACKGROUND: The diagnosis and surveillance of urothelial bladder cancer (UBC) require cystoscopy. There is a need for biomarkers to reduce the frequency of cystoscopy in surveillance; urinary volatile organic compound (VOC) analysis could fulfil this role. This cross-sectional study compared the VOC profiles of patients with and without UBC, to investigate metabolomic signatures as biomarkers. METHODS: Urine samples were collected from haematuria clinic patients undergoing diagnostic cystoscopy and UBC patients undergoing surveillance. Urinary headspace sampling utilised solid-phase microextraction and VOC analysis applied gas chromatography-mass spectrometry; the output underwent metabolomic analysis. RESULTS: The median participant age was 70 years, 66.2% were male. Of the haematuria patients, 21 had a new UBC diagnosis, 125 had no cancer. In the surveillance group, 75 had recurrent UBC, 84 were recurrence-free. A distinctive VOC profile was observed in UBC patients compared with controls. Ten VOCs had statistically significant abundances useful to classify patients (false discovery rate range 1.9 × 10-7-2.8 × 10-2). Two prediction models were evaluated using internal validation. An eight-VOC diagnostic biomarker panel achieved AUROC 0.77 (sensitivity 0.71, specificity 0.72). A six-VOC surveillance biomarker panel obtained AUROC 0.80 (sensitivity 0.71 and specificity 0.80). CONCLUSIONS: Urinary VOC analysis could aid the diagnosis and surveillance of UBC.