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Urinary Free Glycosaminoglycans Identify Adults at High Risk of Developing Early-stage High-grade Bladder Cancer
Francesco Gatto1,2,3, Sinisa Bratulic2,3, Francesca Maccari4
1Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden.
European Urology Open Science
|September 12, 2024
Summary
Urinary free glycosaminoglycan profile (GAGome) shows promise for noninvasive bladder cancer (BCa) screening. This biomarker can identify individuals at high risk of developing BCa within seven years, aiding in early detection and mortality reduction.
Area of Science:
- Biochemistry
- Oncology
- Urology
Background:
- Bladder cancer (BCa) screening can reduce mortality through early detection of high-grade disease.
- Current noninvasive biomarkers lack the specificity needed for effective screening.
- The urinary free glycosaminoglycan profile (GAGome) presents a potential biomarker for BCa metabolism.
Purpose of the Study:
- To evaluate the potential of the urinary GAGome as a noninvasive biomarker for early bladder cancer detection.
- To develop and validate a predictive score for BCa risk using GAGome features.
- To assess the GAGome score's ability to identify individuals at high risk for developing BCa.
Main Methods:
- Prospective case-control study to develop a GAGome-based predictive score for BCa.
- Retrospective analysis of a population-based cohort (Lifelines Cohort Study) to validate the score.
- Logistic regression models incorporating age, sex, and the GAGome score were used to predict BCa risk at 7 years.
Main Results:
- Alterations in three GAGome features were observed in individuals with BCa.
- The developed GAGome score discriminated BCa with an AUC of 0.77.
- In a presumed healthy cohort, the GAGome score independently predicted BCa at 7 years (p < 0.001), improving risk prediction over age and sex alone.
Conclusions:
- The urinary free GAGome is altered in BCa and serves as a specific, noninvasive biomarker.
- The GAGome score can identify adults at high risk of developing BCa, independent of age and sex.
- This biomarker holds potential for designing risk-stratified, targeted bladder cancer screening programs.
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