ReviewDiagnostics (Basel, Switzerland)2026
Urinary Biomarkers in Urological Oncology: From Biological Origin to Clinical Decision-Making-A Narrative Review.
Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urinary biomarkers are promising tools in urological oncology because urine can be collected non-invasively and repeatedly during diagnosis, treatment, and surveillance. Despite extensive biomarker discovery, their adoption in routine practice remains limited. Biomarker performance depends not only on analytical accuracy but also on the clinical decision, anatomical route into urine, biological source of the signal, specimen fraction, and timing and conditions of sampling. This review evaluates urinary biomarkers across bladder cancer, upper-tract urothelial carcinoma, prostate cancer, and renal cell carcinoma using a biologically grounded, decision-oriented framework. It considers tumor-derived nucleic acids, epigenetic alterations, proteins, immune and inflammatory mediators, extracellular vesicles, metabolites, microbiome-associated signals, and multiparametric models. Bladder cancer represents the most anatomically direct and clinically mature setting, with potential applications in hematuria evaluation, cystoscopy triage, recurrence surveillance, molecular residual disease assessment, and monitoring of response to bacillus Calmette-Guérin therapy. In upper-tract urothelial carcinoma, distinguishing voided from selectively collected urine is essential because dilution, transit, obstruction, and limited localization affect interpretation. Prostate urine assays are best positioned for biopsy triage and refinement of active surveillance rather than general population screening. Renal cell carcinoma biomarkers remain exploratory because the sources and mechanisms of urinary signal release are insufficiently resolved. Clinical translation should be assessed using decision-specific outcomes, including incremental value, calibration, net clinical benefit, procedures avoided, significant cancers missed, reproducibility, and feasibility, rather than diagnostic accuracy or area under the receiver operating characteristic curve alone.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.