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Abstract
Although cystoscopy is a reliable tool for detecting bladder cancer (BC) in patients with hematuria, it is invasive, costly and often unnecessary since most patients with hematuria do not have BC. Consequently, developing urinary biomarkers for non-invasive BC detection is a major clinical need. While DNA methylation markers hold promise, diagnostic performance can still be improved. We assessed 11 candidate methylation markers for urinary BC detection. Urine samples from 77 primary BC patients and 69 controls were used for marker selection and training, with independent validation conducted on samples from 63 primary BC patients and 71 controls. Samples were self-collected at home, mailed to the hospital and analyzed via quantitative methylation-specific polymerase chain reaction. Marker performance was evaluated through univariable and multivariable logistic regression analyses. Decision curve analysis (DCA) gauged clinical utility by potential cystoscopy reduction. Evaluation identified three most promising markers: NRN1, GALR1, and HAND2. These markers exhibited significantly elevated methylation levels in BC compared to controls in both cohorts (P < 0.001). The combined marker set demonstrated an area under the curve (AUC) of 0.94 at 84% (95% CI: 76–92%) sensitivity and 96% (95% CI: 91–100%) specificity. Validation yielded nearly equivalent accuracy (AUC 0.89, sensitivity 76% (95% CI: 65–86%), specificity 93% (95% CI: 86–99%)). DCA indicated a potential of 20 to 35% reduction in cystoscopies depending on the clinical scenario. The excellent diagnostic potential of our methylation markers for non-invasive BC detection, emphasizes their significance for future diagnostic strategies.
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1 Vrije Universiteit Amsterdam, Department of Urology, Amsterdam UMC, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam UMC, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands (GRID:grid.12380.38)
2 Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam UMC, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands (GRID:grid.12380.38); Peter MacCallum Cancer Centre, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000 0004 0397 8434); University of Melbourne, Sir Peter MacCallum Department of Oncology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
3 Vrije Universiteit Amsterdam, Department of Urology, Amsterdam UMC, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)
4 Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam UMC, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands (GRID:grid.12380.38)
5 OLVG, Department of Urology, Amsterdam, The Netherlands (GRID:grid.440209.b) (ISNI:0000 0004 0501 8269)
6 Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)




