Plain-English translation of NCT03237026 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Prostate Cancer research guide →Researchers are looking for biological clues in urine that could predict how well prostate cancer treatments will work for individual patients. By studying urine samples from men before they begin treatment, the research team hopes to find markers—specific proteins and metabolites—that can forecast treatment effectiveness and possible side effects. This knowledge could one day help doctors personalize treatment plans for prostate cancer patients.
Currently, doctors cannot reliably predict which prostate cancer patients will respond well to treatment or who will experience significant side effects. This study aims to discover urine-based markers that could fill that gap, helping doctors choose the most effective treatment for each patient's specific situation.
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If you enroll, you will provide one 50-milliliter urine sample at the start of the study, before you begin your prostate cancer treatment. The research team will then follow your medical progress and treatment outcomes over time, but you will not receive the urine test results yourself. The study is divided into two phases: the first 36 months will establish baseline patterns, and the next 24 months will confirm whether those patterns predict real outcomes.
AI-generated summary from trial data · Aug 11, 2026 · Not medical advice
Taiwan
Sponsor
National Taiwan University Hospital
Enrollment target
~360 participants
Started
October 2017
Primary completion
January 2027
Age range
30 Years – 100 Years
Sex
Male only
Last updated on clinicaltrials.gov in January 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Chung-Hsin Chen, MD PhD
Department of Urology, National Taiwan University Hospital
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.