Investigating Prostate Cancer Detection Using Urine Samples
This observational study, called Prostate VPAC, is looking for men aged 50-79 to help researchers find a new way to detect prostate cancer. The study aims to see if an optical imaging method, which targets VPAC1 and STEAP1 receptors on prostate cancer cells, can successfully identify cancer cells shed in urine. You would provide a urine sample, and researchers will analyze it to see how well this new method works compared to your current prostate cancer status. The goal is to develop a less invasive way to detect prostate cancer. The study is currently recruiting participants.
- Study design
- This is an observational study with a planned enrollment of 810 men. It is not testing a new treatment, but rather a new detection method.
- What's involved
- You would provide a single urine sample (15-50 ml) at a urology clinic or community screening event. There are no other procedures or treatments involved.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary outcome, the sensitivity and specificity of the detection method, will be measured at one time urine collection, with analysis throughout the study period (approximately 2 years).
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Investigation Into Detection of Prostate Cancer Using Voided Urine (Prostate VPAC)
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Madhukar Thakur, MD · PRINCIPAL_INVESTIGATOR · Thomas Jefferson University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
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Inclusion
What this trial measures
- The sensitivity and specificity of the VPAC and STEAP1 assay diagnosis1 time urine collection; analysis though study period (approximately 2 years)
The diagnostic properties of the assay will be assessed by estimating the sensitivity, specificity and positive and negative predictive values, along with their exact Clopper-Pearson 95% compatibility intervals. All study variables will be summarized and tabulated by prostate cancer status, BPH status, and by percent malignant cells (%M), fluorescence intensity, and VPAC and/or STEAP1 protein quantity. Continuous variables will be summarized in groups by means with standard deviations or, of skewed, by medians with first and third quartiles and with other continuous variables by correlation coefficients. Discrete variables will be summarized by frequency counts and percentages.