Comparing the Reliability of Expressed Prostatic Secretion (EPS) and Post Massage Urine (PMU) for the Prediction of Prostate Cancer Biopsy Outcome
NCT ID: NCT01441687
Last Updated: 2025-03-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
243 participants
INTERVENTIONAL
2009-07-14
2026-02-09
Brief Summary
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Detailed Description
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I. To determine which non-invasive test for prostate cancer, EPS or PMU, is a better predictor of prostate cancer biopsy result. (Part I)
II. To determine whether standardized testing for transmembrane protease, serine 2 (TMPRSS2):ERG Types III and VI is superior to testing for TMPRSS2:ERG Type III in predicting prostate biopsy outcome. (Part I)
III. To expand the sample size utilizing the best TMPRSS2:ERG test and the best specimen type as determined in objective I and II in order to estimate with reasonable accuracy the positive predictive value (PPV) and negative predictive value (NPV) for each test. (Part II)
IV. To expand the biomarker set, to include Prostate Cancer Antigen 3 (PCA3)-ribonucleic acid (RNA), d-glyceraldehyde-3-phosphate dehydrogenase (GADPH)-RNA, prostate-specific antigen (PSA)-RNA, and deoxyribonucleic acid (DNA) methylation levels at glutathione s-transferase pi (GSTP1), adenomatous polyposis coli (APC), retinoic acid receptor beta (RARB), Mitochondrial DNA (MT-DNA) Deletions and ras association (RalGDS/AF-6) domain family 1 (RASSF1), so as to develop an extensive data set for use in multivariate analysis. (Part II)
V. Use multivariate analysis to determine which combination of molecular markers offers the greatest improvements in our ability to predict biopsy outcome over current baseline predictors (Serum PSA and digital rectal examination \[DRE\]). (Part II)
VI. Estimate PPV and NPVs from this analysis and compare them to the standard assay's performance. (Part II)
OUTLINE: Patients are randomized to 1 of 2 treatment arms. ARM I: Patients receive digital rectal palpation and then void a spontaneous urine sample for PMU analysis. Patients then undergo a prostate biopsy.
ARM II: Patients receive DRE with prostatic massage for 30-60 seconds and are then milked at the urethra to provide a collection of EPS. Patients then undergo a prostate biopsy.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
SCREENING
NONE
Study Groups
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Arm I (PMU)
Patients receive digital rectal palpation and then void a spontaneous urine sample for PMU analysis. Patients then undergo a prostate biopsy.
laboratory biomarker analysis
Correlative studies
transrectal prostate biopsy
Undergo prostate biopsy
Arm II (EPS)
Patients receive DRE with prostatic massage for 30-60 seconds and are then milked at the urethra to provide a collection of EPS. Patients then undergo a prostate biopsy.
laboratory biomarker analysis
Correlative studies
transrectal prostate biopsy
Undergo prostate biopsy
Interventions
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laboratory biomarker analysis
Correlative studies
transrectal prostate biopsy
Undergo prostate biopsy
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Men without a prior diagnosis of prostate cancer but who have previously undergone a biopsy for a suspicious DRE or PSA
* Men with a prior diagnosis of cancer \< 5 years ago, excluding basal cell carcinoma and/or squamous cell carcinoma
18 Years
MALE
Yes
Sponsors
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National Cancer Institute (NCI)
NIH
City of Hope Medical Center
OTHER
Responsible Party
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Principal Investigators
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Steven Smith, PhD
Role: PRINCIPAL_INVESTIGATOR
City of Hope Medical Center
Locations
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Chinn & Chinn Urology Associates, Inc.
Arcadia, California, United States
City of Hope Medical Center
Duarte, California, United States
Citrus Valley Urologic Medical Group
Glendora, California, United States
Dr. Felix Chi-Ming Yip
Monterey Park, California, United States
City of Hope- South Pasadena Cancer Center
South Pasadena, California, United States
Countries
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Other Identifiers
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NCI-2017-00089
Identifier Type: REGISTRY
Identifier Source: secondary_id
08239
Identifier Type: -
Identifier Source: org_study_id
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