Microfluidic Urinary Exosome-Based Diagnostic Model for Bladder Cancer
Development and Prospective Validation of a Precision Diagnostic Model for Bladder Cancer Based on Microfluidic Isolation and Multiplex Detection of Urinary Exosomes
2 other identifiers
observational
300
1 country
1
Brief Summary
Bladder cancer is one of the most common malignancies of the urinary system and is characterized by high recurrence rates and poor long-term outcomes. Early detection and accurate diagnosis are essential for improving clinical management. This prospective diagnostic accuracy study aims to develop and validate a precision diagnostic model for bladder cancer based on microfluidic isolation and multiplex detection of urinary exosomes. A novel microfluidic platform will be developed for rapid and efficient urinary exosome enrichment. Multi-omics approaches, including RNA sequencing and proteomic profiling, will be used to identify bladder cancer-associated urinary exosome biomarkers. A multiplex microfluidic detection chip will subsequently be developed for simultaneous detection of multiple biomarkers. A diagnostic model integrating urinary exosome biomarker profiles and clinical characteristics will be developed in a training cohort and prospectively validated in an independent cohort. Diagnostic performance will be evaluated using pathological diagnosis as the reference standard. This study aims to establish a non-invasive, rapid, and accurate diagnostic strategy for bladder cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2025
CompletedFirst Submitted
Initial submission to the registry
July 25, 2026
CompletedFirst Posted
Study publicly available on registry
July 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 1, 2027
July 30, 2026
July 1, 2026
1.9 years
July 25, 2026
July 25, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy of urinary exosome-based model for bladder cancer detection
The primary outcome is the diagnostic performance of the urinary exosome-based model compared with pathological diagnosis as the reference standard.
At completion of prospective validation (September 2027)
Study Arms (3)
Bladder Cancer Cohort
Participants with pathologically confirmed bladder cancer, including non-muscle-invasive bladder cancer (Ta and T1) and muscle-invasive bladder cancer (≥T2).
Benign Urological Disease Control Cohort
Participants diagnosed with benign urological diseases without evidence of malignancy.
Other Urological Malignancy Cohort
Participants with other urinary system malignancies included for evaluation of diagnostic specificity during the validation phase.
Interventions
Liquid biopsy
Eligibility Criteria
Bladder cancer or other urinary diseases and healthy individuals
You may qualify if:
- \. Age ≥18 years.
- \. Patients with bladder cancer confirmed by pathological examination.
- \. Patients with benign urological diseases confirmed by clinical evaluation.
- \. Ability to provide urine samples and relevant clinical information.
- \. Written informed consent provided.
You may not qualify if:
- \. History of other malignant tumors, except participants specifically included in the validation cohort.
- \. Severe organ dysfunction.
- \. Glomerulonephritis.
- \. Recent significant urinary tract injury.
- \. Inadequate urine sample availability.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cancer Hospital, Chinese Academy of Medical Sciences
Beijing, Beijing Municipality, 100021, China
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Phd
Study Record Dates
First Submitted
July 25, 2026
First Posted
July 30, 2026
Study Start
October 1, 2025
Primary Completion (Estimated)
September 1, 2027
Study Completion (Estimated)
September 1, 2027
Last Updated
July 30, 2026
Record last verified: 2026-07