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Genetic Testing in Predicting Biomarkers of Recurrence in Patients With Prostate Cancer Undergoing Surgery

Pre-Surgical EPS Biomarkers as Predictors of Biochemical Recurrence

Status
Active, not recruiting
Phases
Phase 1
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00977457
Enrollment
1045
Registered
2009-09-15
Start date
2007-11-26
Completion date
2027-06-30
Last updated
2026-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Keywords

stage I prostate cancer, stage II prostate cancer, stage III prostate cancer, stage IV prostate cancer

Brief summary

This trial studies the side effects and best way to perform genetic testing in predicting biomarkers of recurrence in patients with prostate cancer undergoing surgery. Collecting and storing samples of tissue, blood, and other body fluids from patients to test in the laboratory and collecting information about the patient's health and treatment may help doctors learn more about cancer and help predict the recurrence of prostate cancer

Detailed description

PRIMARY OBJECTIVES: I. To explore the performance of these models in predicting the likelihood of biochemical recurrence (BCR). SECONDARY OBJECTIVES: I. To explore the performance of these models in predicting upgrading and upstaging prior to surgery. II. To explore the performance of these models in improving risk stratification among patients eligible for active surveillance. III. To determine whether prostatic massage or surgery raises the count of circulating tumor cells (CTC) in post-digital rectal exam (DRE) blood specimens. OUTLINE: Patients receive prostatic massage and undergo a digital rectal exam (DRE). Laboratory assessments are performed and blood samples are collected for molecular biology testing. On the day of the scheduled prostatectomy, a second blood collection is performed prior to surgery.

Interventions

GENETICDNA analysis

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

GENETICDNA methylation analysis

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

GENETICRNA analysis

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

GENETICgene expression analysis

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

GENETICpolymerase chain reaction

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

OTHERdiagnostic laboratory biomarker analysis

Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

PROCEDUREtherapeutic conventional surgery

Sponsors

City of Hope Medical Center
Lead SponsorOTHER
National Cancer Institute (NCI)
CollaboratorNIH

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

\- All men undergoing robotic prostatectomy or cystoprostatectomy at City of Hope will be eligible for the study

Exclusion criteria

\- Men who undergo neoadjuvant treatment with Androgen Deprivation Therapy (ADT) or salvage prostatectomy including those who have had brachytherapy will be excluded

Design outcomes

Primary

MeasureTime frameDescription
Performance of these models in predicting the likelihood of BCRVisit 2 (intraoperative setting)Logistic regression and artificial neural networks will be used.

Secondary

MeasureTime frameDescription
Comparison of the performance of these models in improving risk stratification among patients eligible for active surveillanceVisit 2 (intraoperative setting)Logistic regression and artificial neural networks will be used.
Determination whether prostatic massage or surgery raises the count of circulating tumor cells (CTCs) in post-DRE blood specimensVisit 2 (intraoperative setting)Logistic regression and artificial neural networks will be used.
Comparison of the performance in these models in predicting upgrading and upstaging prior to surgeryVisit 2 (intraoperative setting)Logistic regression and artificial neural networks will be used.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORSteven S. Smith, PhD

City of Hope Medical Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 21, 2026