Urinary Biomarkers and Their Role in the Management of Urothelial Carcinoma: A Narrative Review
Abstract
1. Introduction
2. Materials and Methods
2.1. Review Design
2.2. Scope of Evidence
- mRNA assays, especially Xpert Bladder Cancer Monitor and Cxbladder.
- DNA methylation assays, especially Bladder EpiCheck and related methylation-based recurrence studies.
- Protein marker review evidence, especially ADXBLADDER.
- Mutation-augmented platforms, especially FGFR3- and TERT-enhanced Cxbladder.
- Broader liquid biopsy concepts, especially ctDNA.
- Clinical scenarios, including NMIBC surveillance, primary hematuria, atypical cytology, active surveillance, second-TURB prediction, and upper tract urothelial carcinoma assessment.
2.3. Outcomes of Interest
3. Results
3.1. The Broader Biomarker Landscape and the Clinical Need for Noninvasive Surveillance
3.2. Xpert Bladder Cancer Monitor: The Dominant mRNA Surveillance Assay
3.2.1. Large Surveillance Cohorts
3.2.2. Xpert in Strategy-Level and Special Use Studies
3.2.3. Xpert Beyond Bladder-Only Surveillance
3.3. Bladder EpiCheck and the Maturation of Methylation-Based Biomarkers
3.4. Direct Comparison of Xpert, EpiCheck, and Cytology
3.5. ADXBLADDER and the Protein Biomarker Perspective
3.6. Cxbladder, Mutation-Augmented Platforms, and Pathway Redesign
3.7. Primary Hematuria, Upper Tract Disease, and Difficult Diagnostic Scenarios
3.8. Future Directions: ctDNA and Randomized Biomarker-Guided Surveillance
3.9. Multi-Omics Integration and the Evolution Toward Precision Liquid Biopsy
- Cell-free DNA (cfDNA).
- mRNA and noncoding RNA (miRNA, lncRNA).
- Tumor-derived proteins.
- Metabolic signatures.
- Extracellular vesicles (exosomes).
- Next-generation sequencing (NGS).
- Mass spectrometry-based metabolomics.
- Digital PCR.
- AI-assisted pattern recognition.
- Tumor specificity.
- Stability independent of physiological variation.
- Detectability at early disease stages.
- Reproducibility across platforms and populations.
- Lack of standardization in sample collection and processing.
- Inter-individual biological variability.
- High cost of advanced detection technologies.
- Need for large-scale prospective validation studies.
4. Discussion
- High-grade recurrence exclusion.
- Interpretation of atypical or equivocal findings.
- Longitudinal surveillance de-intensification in selected patients.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AS | active surveillance |
| AUC | area under the curve |
| BC | bladder cancer |
| BCM | Bladder Cancer Monitor |
| ctDNA | circulating tumor DNA |
| CTU | computed tomography urography |
| HG | high grade |
| LG | low grade |
| LDA | linear discriminant analysis |
| NMIBC | non-muscle-invasive bladder cancer |
| NPV | negative predictive value |
| PPV | positive predictive value |
| TURB | transurethral resection of bladder tumor |
| URS | ureterorendoscopy |
| UTUC | upper tract urothelial carcinoma |
| VUC | voided urinary cytology |
| WLC | white-light cystoscopy |
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| Test Type | Specificity (%) | Sensitivity (%) | Approximate Price Range (USD/EUR) |
|---|---|---|---|
| Urinary Cytology | 90–95 | 10–40 | USD 50–150/€45–140 |
| NMP22 | 77–88 | 56–69 | USD 25–100/€20–90 |
| BTA Stat/BTA TRAK | 68–85 | 57–83 | USD 30–120/€25–110 |
| ADXBLADDER (MCM5) | 66–73 | 51–73 | USD 100–200/€90–180 |
| Xpert Bladder Cancer Monitor | 75–91 | 60–90 | USD 150–300/€140–280 |
| Bladder EpiCheck | 82–88 | 62–90 | USD 200–350/€180–320 |
| Cxbladder | 60–85 | >90 | USD 350–800/€320–750 |
| UroVysion FISH | 78–89 | 61–72 | USD 500–1000/€450–900 |
| ctDNA/Urinary Tumor DNA Assays | 80–90+ | 80–90+ | USD 500–2000/€450–1850 |
| Multi-Omics/NGS Platforms | 80–90+ | 80–90+ | USD 500–2000/€450–1850 |
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Tichil, B.-P.; Besleaga, A.; Vica Matei, M.L.; Florea, A. Urinary Biomarkers and Their Role in the Management of Urothelial Carcinoma: A Narrative Review. J. Clin. Med. 2026, 15, 5183. https://doi.org/10.3390/jcm15135183
Tichil B-P, Besleaga A, Vica Matei ML, Florea A. Urinary Biomarkers and Their Role in the Management of Urothelial Carcinoma: A Narrative Review. Journal of Clinical Medicine. 2026; 15(13):5183. https://doi.org/10.3390/jcm15135183
Chicago/Turabian StyleTichil, Bogdan-Petru, Anamaria Besleaga, Mihaela Laura Vica Matei, and Adrian Florea. 2026. "Urinary Biomarkers and Their Role in the Management of Urothelial Carcinoma: A Narrative Review" Journal of Clinical Medicine 15, no. 13: 5183. https://doi.org/10.3390/jcm15135183
APA StyleTichil, B.-P., Besleaga, A., Vica Matei, M. L., & Florea, A. (2026). Urinary Biomarkers and Their Role in the Management of Urothelial Carcinoma: A Narrative Review. Journal of Clinical Medicine, 15(13), 5183. https://doi.org/10.3390/jcm15135183

