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

Sponsor
City of Hope Medical Center (Other)
Overall Status
Active, not recruiting
CT.gov ID
NCT00977457
Collaborator
National Cancer Institute (NCI) (NIH)
1,200
1
1
181.1
6.6

Study Details

Study Description

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

Condition or Disease Intervention/Treatment Phase
  • Genetic: DNA analysis
  • Genetic: DNA methylation analysis
  • Genetic: RNA analysis
  • Genetic: gene expression analysis
  • Genetic: polymerase chain reaction
  • Other: diagnostic laboratory biomarker analysis
  • Procedure: therapeutic conventional surgery
Phase 1

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.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
1200 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Pre-Surgical EPS Biomarkers as Predictors of Biochemical Recurrence
Actual Study Start Date :
Nov 26, 2007
Anticipated Primary Completion Date :
Dec 30, 2022
Anticipated Study Completion Date :
Dec 30, 2022

Arms and Interventions

Arm Intervention/Treatment
Experimental: Diagnostic (specimen collection)

Patients receive prostatic massage and undergo a digital rectal examination. 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.

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

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

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

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

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

Other: diagnostic laboratory biomarker analysis
Performed on Post-massage urine (PMU) and/or expressed prostatic secretions (EPS) samples obtained at the time of surgery

Procedure: therapeutic conventional surgery
Other Names:
  • Undergo robotic prostatectomy or cystoprostatectomy
  • Outcome Measures

    Primary Outcome Measures

    1. Performance of these models in predicting the likelihood of BCR [Visit 2 (intraoperative setting)]

      Logistic regression and artificial neural networks will be used.

    Secondary Outcome Measures

    1. Comparison of the performance in these models in predicting upgrading and upstaging prior to surgery [Visit 2 (intraoperative setting)]

      Logistic regression and artificial neural networks will be used.

    2. Comparison of the performance of these models in improving risk stratification among patients eligible for active surveillance [Visit 2 (intraoperative setting)]

      Logistic regression and artificial neural networks will be used.

    3. Determination whether prostatic massage or surgery raises the count of circulating tumor cells (CTCs) in post-DRE blood specimens [Visit 2 (intraoperative setting)]

      Logistic regression and artificial neural networks will be used.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    Male
    Accepts 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

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 City of Hope Medical Center Duarte California United States 91010-3000

    Sponsors and Collaborators

    • City of Hope Medical Center
    • National Cancer Institute (NCI)

    Investigators

    • Principal Investigator: Steven S. Smith, PhD, City of Hope Medical Center

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    City of Hope Medical Center
    ClinicalTrials.gov Identifier:
    NCT00977457
    Other Study ID Numbers:
    • 06072
    • P30CA033572
    • CHNMC-06072
    • CDR0000644208
    • 5R01CA102521
    • NCI-2011-00980
    First Posted:
    Sep 15, 2009
    Last Update Posted:
    Mar 18, 2022
    Last Verified:
    Feb 1, 2022
    Keywords provided by City of Hope Medical Center
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Mar 18, 2022