National Cancer Center / Cancer Hospital, Chinese Academy of Medical Sciences
Beijing, Chaoyang District, 100021, China
Location status: Recruiting
NCT Number: NCT07514897
This study will, for the first time, establish a non-invasive diagnostic model for bladder cancer based on CREPT expression levels in exfoliated urothelial cells using a multicenter cohort, and validate its value in the non-invasive diagnosis and recurrence monitoring of bladder cancer. Its high sensitivity is expected to overcome the technical limitations of existing biomarkers and provide an innovative solution for establishing an integrated precision diagnosis and treatment system encompassing "screening, diagnosis, and monitoring."
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Beijing, Chaoyang District, 100021, China
Location status: Recruiting
The main research content of this project will be carried out from the following aspects: (1) Establish an exploratory cohort comprising patients with bladder cancer, patients with benign urological diseases, and healthy individuals. The exploratory cohort will be randomly divided into a training cohort and an internal validation cohort in a 2:1 ratio. Using the training cohort, a non-invasive detection method for bladder cancer based on CREPT expression in exfoliated urothelial cells will be developed, and a non-invasive diagnostic model for bladder cancer based on CREPT expression in exfoliated urothelial cells will be constructed. The diagnostic performance of the model will then be validated using the internal validation cohort; (2) Establish an external validation cohort including patients with bladder cancer, benign urological diseases, and healthy individuals to evaluate the clinical diagnostic performance of the model; (3) Enroll patients with bladder cancer undergoing follow-up cystoscopy after Transurethral Resection of Bladder Tumor (TURBT) and patients requiring repeat TURBT to establish a recurrence monitoring cohort, and evaluate the performance of this diagnostic model in predicting bladder cancer recurrence.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Short-term follow-up for 6 months, with follow-ups conducted at 3 months and 6 months post-enrollment; long-term follow-up for 1 year, with an additional follow-up at 12 months post-enrollment.
In the internal validation of the exploratory cohort and the external validation cohort, calculate the AUC, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the diagnostic model, using "pathological diagnosis results" as the gold standard, to validate the model's ability to distinguish between "bladder cancer" and "non-bladder cancer (benign diseases + healthy individuals)". Among these, an AUC ≥ 0.85 in the external validation cohort is the primary indicator.
Contact information is provided by the study sponsor or research team.
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Other
Detection of CREPT Expression in Exfoliated Urothelial Cells for Early Diagnosis and Recurrence Monitoring of Bladder Cancer
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