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| ID | Type | Description | Link |
|---|---|---|---|
| R01CA198887 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Fred Hutchinson Cancer Center | OTHER |
| University of Texas | OTHER |
| University of California, San Francisco | OTHER |
| Nonagen Bioscience Corporation |
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Voided urinary cytology (VUC) is the most widely used urine-based assay for detecting bladder cancer (BCa); however, it fails to detect approximately 50% of low-grade or early stage BCa when it is most curable. Furthermore, the detection rate of VUC for recurrent BCa is not much better. Because of this severe limitation, all patients who are under surveillance to monitor for recurrent BCa must undergo an invasive examination of the urinary bladder, where a miniature camera is inserted into the bladder and the bladder inspected (cystoscopy). We propose to improve the non-invasive detection of recurrent BCa by further validating a multiplex ELISA assay directed at a BCa-associated diagnostic signature in voided urine samples.
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| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of multiplex ELISA assay will be confirmed by cystoscopy. | To examine the sensitivity and specificity of the multiplex ELISA assay directed at a BCa-associated diagnostic signature in voided urine samples to reference standard of cystoscopy in a prospective longitudinal cohort of 300 participants with a history of BCa currently on cancer surveillance. | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of multiplex ELISA assay will be compared to VUC and NMP22 BladderCheck. | To compare the sensitivity and specificity of the multiplex ELISA assay to VUC and NMP22® BladderChek to reference standard of cystoscopy in this cohort. To develop a BCa risk calculator from this cohort using cutting edge machine learning techniques (e.g., random forest) incorporating biomarker data and clinical data. |
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Inclusion Criteria
Participants must be:
Exclusion Criteria:
Participants must not:
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Patients with a history of non-muscle invasive bladder cancer or muscle invasive bladder cancer treated by bladder sparing techniques (or not yet treated) and diagnosed within the past 24 months on cystoscopic surveillance
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Charles Rosser, MD | Contact | 310-423-5609 | Charles.Rosser@cshs.org |
| Name | Affiliation | Role |
|---|---|---|
| Hideki Furuya, PhD | Cedars-Sinai Medical Center | Principal Investigator |
| Charles Rosser | Nonagen Bioscience Corporation | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cedars-Sinai Medical Center | Recruiting | Los Angeles | California | 90048 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38167321 | Derived | Furuya H, Sakatani T, Tanaka S, Murakami K, Waldron RT, Hogrefe W, Rosser CJ. Bladder cancer risk stratification with the Oncuria 10-plex bead-based urinalysis assay using three different Luminex xMAP instrumentation platforms. J Transl Med. 2024 Jan 2;22(1):8. doi: 10.1186/s12967-023-04811-2. | |
| 38045238 | Derived | Furuya H, Sakatani T, Tanaka S, Murakami K, Waldron RT, Hogrefe W, Rosser CJ. Bladder cancer risk stratification with the Oncuria 10-plex bead-based urinalysis assay using three different Luminex xMAP instrumentation platforms. Res Sq [Preprint]. 2023 Nov 25:rs.3.rs-3635581. doi: 10.21203/rs.3.rs-3635581/v1. |
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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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| INDUSTRY |
| Kyoto University | OTHER |
| National Cancer Institute (NCI) | NIH |
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Urine collection (minimal 50 mL) and cystoscopy (+ biopsy w/in 4 weeks, if abnormal noted)
| 2 years |
| University of California San Francisco | Active, not recruiting | San Francisco | California | 94158 | United States |
| UT Southwestern Medical Center at Dallas | Active, not recruiting | Dallas | Texas | 75390 | United States |
| Kyoto University Graduate School of Medicine | Recruiting | Kyoto | Japan |
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| 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 |