EPS vs PMU Biomarkers for Predicting Prostate Cancer Biopsy Outcomes
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores the best way to predict prostate cancer biopsy results using two different urine-based tests. Researchers aim to determine whether expressed prostatic secretion (EPS) or post-massage urine (PMU) biomarkers offer better insights into potential prostate cancer. Participants will undergo a transrectal prostate biopsy and provide samples either by giving urine after a prostate massage or following a digital rectal exam. The trial seeks men scheduled for a prostate biopsy due to concerns about prostate cancer. As an unphased trial, this study offers participants the chance to contribute to innovative research that could enhance prostate cancer diagnosis methods.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that these biomarkers are safe for predicting prostate biopsy outcomes?
Research has shown that both PMU (post massage urine) and EPS (expressed prostatic secretions) are generally safe for detecting prostate cancer.
For PMU, studies have explored urine tests as a less invasive alternative to biopsies, showing promise in early cancer detection. The process mainly involves collecting urine after a special massage, resulting in minimal side effects.
EPS involves collecting prostate fluid after a digital rectal exam, which can help identify signs of cancer. This common urological procedure is considered safe, with no major reports of problems.
Overall, both PMU and EPS collection are well-tolerated and do not present significant safety concerns.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it explores new methods for predicting prostate cancer biopsy outcomes using biomarkers from urine and expressed prostatic secretions (EPS). Unlike the standard prostate biopsy, which is primarily guided by imaging and PSA levels, this trial investigates whether analyzing PMU (post-massage urine) and EPS can offer more accurate predictions. This could potentially lead to less invasive, more precise diagnostic techniques, reducing unnecessary biopsies and improving patient care.
What evidence suggests that EPS or PMU biomarkers are effective for predicting prostate biopsy outcomes?
This trial will compare PMU and EPS tests for predicting prostate cancer biopsy outcomes. Research has shown that both PMU and EPS tests can help predict prostate cancer outcomes. Participants in Arm I will undergo PMU analysis. A new urine test, similar to PMU, correctly identified prostate cancer in 91% of cases and correctly ruled out non-cancer cases 84% of the time, suggesting PMU tests could reliably detect prostate cancer. Participants in Arm II will undergo EPS, which involves collecting fluid from the prostate after a gentle massage. Research indicates that EPS can help determine the cancer's aggressiveness. Both methods aim to improve the accuracy of prostate cancer diagnosis before a biopsy is needed.16789
Who Is on the Research Team?
Steven Smith, PhD
Principal Investigator
City of Hope Medical Center
Are You a Good Fit for This Trial?
This trial is for men scheduled to undergo a prostate ultrasound and biopsy at specific urology departments or clinics. It's designed to evaluate the best method of predicting prostate cancer biopsy results using either EPS or PMU biomarkers.Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants are randomized to receive either PMU or EPS analysis followed by a prostate biopsy
Follow-up
Participants are monitored for assay results and biopsy outcomes
What Are the Treatments Tested in This Trial?
Interventions
- Laboratory Biomarker Analysis
- Transrectal Prostate Biopsy
Find a Clinic Near You
Who Is Running the Clinical Trial?
City of Hope Medical Center
Lead Sponsor
National Cancer Institute (NCI)
Collaborator