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| ID | Type | Description | Link |
|---|---|---|---|
| R01CA277810 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Nonagen Bioscience Corporation | INDUSTRY |
| National Cancer Institute (NCI) | NIH |
| VA Long Beach Healthcare System | FED |
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To improve upon the non-invasive detection of bladder cancer by further validating a multiplex ELISA assay directed at a bladder cancer-associated diagnostic signature in voided urine samples of patients with a high risk of developing bladder cancer.
Environmental exposures, specifically tobacco smoke, increases the risk of many cancers, including bladder cancer. To date, there are no diagnostics capable of detecting bladder cancer early, that is prior to clinical presentation. Because of this severe limitation, nearly 30% of patients initially present with stage 2 and higher bladder cancer. Stage 2 bladder cancer has a 5-year survival of 50%, while stage 3/4 have a 5-year survival of <20%. Ideally, bladder cancer would be preventable. Unfortunate, this has not come to fruition. If these stage 2-4 bladder cancer cases could be detected at Stage 1 (5-yr survival >94%), then its possible to see an improvement in bladder cancer survival rates (21-23).
in this study, a urine-based diagnostic that possesses the potential to accurately identify patients who harbor bladder cancer prior to clinical manifestation will be tested.
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| Measure | Description | Time Frame |
|---|---|---|
| 1. To assess the ability to recruit and retain an appropriate high-risk group of subjects into a 4-year longitudinal study monitoring them for the development of bladder cancer. | Ability to recruit | 5 years |
| 2. To report the sensitivity and specificity of the multiplex immunoassay ability to detect bladder cancer in patients with high risk of developing bladder cancer: >50 years and >40 pack year history of tobacco exposure. | Performance of multiplex test in this study | 5 years |
| 3. To develop a prediction risk calculator from this cohort using cutting edge machine learning techniques (e.g., random forest) incorporating biomarker data and clinical data. | Development of a risk calculator | 5 years |
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Inclusion Criteria:
Participants must be:
Exclusion Criteria:
Participants must not have:
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Men and women 50 years and older who have greater than a 20 pack year history of tobacco use.
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| Name | Affiliation | Role |
|---|---|---|
| Hideki Furuya | Cedars-Sinai Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Long Beach VA Healthcare System | Long Beach | California | 90712 | United States | ||
| Cedars-Sinai Medical Center |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Dec 29, 2025 | Jan 29, 2026 | ICF_000.pdf |
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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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Urine collection (minimal 50 mL) yearly for 4 years of screening.
| Los Angeles |
| California |
| 90048 |
| United States |
| 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 |