MedPath

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

Phase 1
Active, not recruiting
Conditions
Prostate Cancer
Registration Number
NCT00977457
Lead Sponsor
City of Hope Medical Center
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.

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
Male
Target Recruitment
1045
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

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Performance of these models in predicting the likelihood of BCRVisit 2 (intraoperative setting)

Logistic regression and artificial neural networks will be used.

Secondary Outcome Measures
NameTimeMethod
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.

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.

Trial Locations

Locations (1)

City of Hope Medical Center

🇺🇸

Duarte, California, United States

City of Hope Medical Center
🇺🇸Duarte, California, United States

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.