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August 24, 2025Open Access

Urinary microRNA Profiles Discriminate Bladder Cancer from Healthy Individuals: A Pilot Study Using qPCR Across Urine Fractions.

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Authors

CDCésar Augusto Barros DuarteKLK.R.S. LeitãoSHSílvia Regina Hokazono

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Overview

Pilot study shows urinary microrna profiling can differentiate bladder cancer from healthy individuals, suggesting novel diagnostic tools.

Key Points

  • Multivariate clustering analysis showed clear separation of bladder cancer from healthy controls, indicating potential for effective diagnosis.
  • Five candidate urinary micrornas were analyzed in whole urine, pellet, and supernatant samples, revealing promising diagnostic variations.
  • Using qPCR and a small cohort of 9, results suggest combined microrna profiling could serve as a non-invasive diagnostic tool.
  • Further research in larger populations is needed to verify the applicability of combined microrna diagnostics for bladder cancer.

Cite This Study

Duarte et al. (2025) studied this question.

synapsesocial.com/papers/68af79a47567bf4f94ff1666https://doi.org/10.1101/2025.08.19.25333993
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Urinary miRNA Profiles with Machine Learning for Noninvasive Detection and Prognosis of Urological Malignancies2025
  2. 2Dysregulated MicroRNAs in Urinary Non-Muscle-Invasive Bladder Cancer: From Molecular Characterization to Clinical Applicability2025
  3. 3Non-Invasive Diagnostic Evaluation of Urinary Exosomal Let-7c Cluster Expression in Bladder Cancer Using Machine Learning Approaches2025
  4. 4Urinary and Blood microRNAs miR-21, miR-141 and miR-375 as Potential Diagnostic Biomarkers for Prostate Cancer: A Systematic Review and Meta-Analysis2025
  5. 5Urinary extracellular miRNAs as potential biomarkers for castration-resistant prostate cancer2025