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Updated: Jun 18, 2026

Ultrasonography of the Adult Male Urinary Tract for Urinary Functional Testing
Published on: August 14, 2019
Testing for urinary hyaluronate improves detection and grading of transitional cell carcinoma
Carlo C Passerotti1, Miguel Srougi, Alexandre C Bomfim
1Department of Urology, Laboratory of Medical Investigation (LIM55), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil. carlopasserotti@hotmail.com
This study shows that measuring hyaluronan (HA) in urine can help diagnose bladder cancer (transitional cell carcinoma, TCC) and grade its severity. Higher HA levels indicate more aggressive tumors.
Area of Science:
- Uro-oncology
- Biomarker Discovery
- Diagnostic Assays
Background:
- Transitional cell carcinoma (TCC) accounts for 90% of bladder tumors.
- Accurate diagnosis and grading of TCC are crucial for effective treatment.
- Hyaluronan (HA) is a component of the extracellular matrix with potential as a tumor marker.
Purpose of the Study:
- To establish and validate an ultrasensitive assay for measuring urinary hyaluronan (HA).
- To determine the utility of urinary HA levels in the diagnosis and grading of transitional cell carcinoma (TCC).
Main Methods:
- Collected urine samples from 350 patients pre-surgery.
- Measured urinary HA using a noncompetitive enzyme-linked immunosorbent assay (ELISA)-like fluorometric assay.
- Analyzed data using receiver operator characteristic (ROC) curves and statistical tests to evaluate diagnostic performance.
Main Results:
- A urinary HA cutoff of 13.0 μg/l demonstrated 82.3% sensitivity and 81.2% specificity for TCC detection.
- Increased urinary HA levels correlated with higher TCC risk (3.9% increase per 1 μg/l HA).
- Higher HA levels were significantly associated with invasive and high-grade tumors (P < 0.005).
Conclusions:
- Urinary HA shows promise as a non-invasive tumor marker for TCC diagnosis and grading.
- Elevated urinary HA levels correlate with tumor invasiveness and aggressiveness.
- The HA assay provides valuable information for assessing TCC severity and patient prognosis.
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