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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."
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients diagnosed with or suspected of having bladder cancer. | After collecting 50 ml of the second morning urine, the expression of CREPT in urinary exfoliated cells was detected. |
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| Measure | Description | Time Frame |
|---|---|---|
| Discrimination of the diagnostic model | 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. | 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. |
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Inclusion Criteria:
Exclusion Criteria:
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Collect urine samples from patients diagnosed with or suspected of having bladder cancer. After urine collection, detect CREPT expression in exfoliated urothelial cells using immunocytochemistry, and perform conventional urinary cytology / FISH testing.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiongjun Ye | Contact | +86 13910380916 | yexiongjun@cicams.cn |
| Name | Affiliation | Role |
|---|---|---|
| Xiongjun Ye | +86 13910380916 | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Cancer Center / Cancer Hospital, Chinese Academy of Medical Sciences | Recruiting | Beijing | Chaoyang District | 100021 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38879581 | Result | Li J, Deng Z, Soerensen SJC, Kachuri L, Cardenas A, Graff RE, Leppert JT, Langston ME, Chung BI. Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence. Nat Commun. 2024 Jun 15;15(1):5116. doi: 10.1038/s41467-024-48857-2. |
| Label | URL |
|---|---|
| A biomedical research paper cited in this dissertation for theoretical support and literature review. | View source |
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| ID | Term |
|---|---|
| D001749 | Urinary Bladder Neoplasms |
| ID | Term |
|---|---|
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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Collect the second morning urine (for tumor cell detection)
| D052776 |
| Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D001745 | Urinary Bladder Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |