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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT02783950
Other study ID # UMCC 2016.020
Secondary ID CU 008HUM0011085
Status Active, not recruiting
Phase N/A
First received
Last updated
Start date January 17, 2017
Est. completion date August 2024

Study information

Verified date August 2023
Source University of Michigan Rogel Cancer Center
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

To determine the impact of Decipher test results on adjuvant treatment decisions of high-risk post-RP patients with undetectable post-op prostate specific antigen (PSA) compared to clinical factors alone.


Description:

This prospective, randomized trial will compare the receipt of adjuvant therapy for high-risk radical prostatectomy (RP) patients who undergo Decipher testing to those who do not. 350 subjects from within the statewide Michigan Urological Surgery Improvement Collaborative (MUSIC) will be randomized to either a Genomic Classifier (Decipher) or Usual-Care-Based (UC) strategy for a period of three months. If enrolled during the Genomic Classifier period, both subjects and their treating physician will be provided Decipher results and CAPRA-S scores. In the UC periods, CAPRA-S scores but not Decipher results will be provided. The enrollment goal, initially and throughout the study, was to enroll 350 evaluable patients. During the study, the target accrual goal was raised to 550 patients to allow more flexibility among sites to achieve the enrollment goal of 350 evaluable patients.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 356
Est. completion date August 2024
Est. primary completion date February 1, 2020
Accepts healthy volunteers No
Gender Male
Age group 18 Years and older
Eligibility Inclusion Criteria: - Prostate cancer patients who have undergone radical prostatectomy - PSA < 0.1 ng/ml at enrollment - At least one of the following: - pT3 (seminal vesicle invasion or extraprostatic extension), or - Positive surgical margins - Radical prostatectomy within one year of enrollment Exclusion Criteria: - Individuals who have any of the following will not be eligible to participate: - Have regional or distant metastatic disease - Received any radiation or hormone therapy (neo-adjuvant, adjuvant, or salvage) - Node positive

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Decipher Prostate Cancer Classifier
The Decipher test (GenomeDx Biosciences, San Diego, CA) is a genomic test that predicts high grade disease, the probability of metastasis and prostate cancer-specific mortality for men with prostate cancer.

Locations

Country Name City State
United States University of Michigan Hospital and Health Systems Ann Arbor Michigan
United States Henry Ford Hospital Detroit Michigan
United States Wayne State University/Karmanos Cancer Institute Detroit Michigan
United States Michigan Urological Clinic Grand Rapids Michigan
United States Spectrum Health Medical Group- Urology Grand Rapids Michigan
United States Urologic Consultants Grand Rapids Michigan
United States Urology Associates of Grand Rapids Grand Rapids Michigan
United States Urology Surgeons, PC Grand Rapids Michigan
United States Comprehensive Medical Center, PLLC Royal Oak Michigan
United States Tri-City Urology Saginaw Michigan
United States Bay Area Urology Associates, PC Traverse City Michigan
United States Michigan Institute of Urology-Town Center Troy Michigan
United States IHA Urology at St. Joe's Ann Arbor Ypsilanti Michigan

Sponsors (3)

Lead Sponsor Collaborator
University of Michigan Rogel Cancer Center GenomeDx Biosciences Corp, Michigan Urological Surgery Improvement Collaborative (MUSIC)

Country where clinical trial is conducted

United States, 

References & Publications (21)

Adams G, Gulliford MC, Ukoumunne OC, Eldridge S, Chinn S, Campbell MJ. Patterns of intra-cluster correlation from primary care research to inform study design and analysis. J Clin Epidemiol. 2004 Aug;57(8):785-94. doi: 10.1016/j.jclinepi.2003.12.013. — View Citation

Badani K, Thompson DJ, Buerki C, Davicioni E, Garrison J, Ghadessi M, Mitra AP, Wood PJ, Hornberger J. Impact of a genomic classifier of metastatic risk on postoperative treatment recommendations for prostate cancer patients: a report from the DECIDE study group. Oncotarget. 2013 Apr;4(4):600-9. doi: 10.18632/oncotarget.918. — View Citation

Badani KK, Thompson DJ, Brown G, Holmes D, Kella N, Albala D, Singh A, Buerki C, Davicioni E, Hornberger J. Effect of a genomic classifier test on clinical practice decisions for patients with high-risk prostate cancer after surgery. BJU Int. 2015 Mar;115(3):419-29. doi: 10.1111/bju.12789. Epub 2014 Aug 11. — View Citation

Buja, A., Hastie, T. J. and Tibshirani, R. J. (1989). Linear smoothers and additive models (with discussion). Annals of Statistics, 17, 453-555.

Campbell, Michael J., and Stephen J. Walters. How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research. John Wiley & Sons, 2014.

Cooperberg MR, Davicioni E, Crisan A, Jenkins RB, Ghadessi M, Karnes RJ. Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort. Eur Urol. 2015 Feb;67(2):326-33. doi: 10.1016/j.eururo.2014.05.039. Epub 2014 Jul 2. — View Citation

Den RB, Feng FY, Showalter TN, Mishra MV, Trabulsi EJ, Lallas CD, Gomella LG, Kelly WK, Birbe RC, McCue PA, Ghadessi M, Yousefi K, Davicioni E, Knudsen KE, Dicker AP. Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy. Int J Radiat Oncol Biol Phys. 2014 Aug 1;89(5):1038-1046. doi: 10.1016/j.ijrobp.2014.04.052. Epub 2014 Jul 8. — View Citation

Den RB, Yousefi K, Trabulsi EJ, Abdollah F, Choeurng V, Feng FY, Dicker AP, Lallas CD, Gomella LG, Davicioni E, Karnes RJ. Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy. J Clin Oncol. 2015 Mar 10;33(8):944-51. doi: 10.1200/JCO.2014.59.0026. Epub 2015 Feb 9. Erratum In: J Clin Oncol. 2015 Apr 20;33(12):1416. — View Citation

Erho N, Crisan A, Vergara IA, Mitra AP, Ghadessi M, Buerki C, Bergstralh EJ, Kollmeyer T, Fink S, Haddad Z, Zimmermann B, Sierocinski T, Ballman KV, Triche TJ, Black PC, Karnes RJ, Klee G, Davicioni E, Jenkins RB. Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy. PLoS One. 2013 Jun 24;8(6):e66855. doi: 10.1371/journal.pone.0066855. Print 2013. — View Citation

Heo M, Leon AC. Comparison of statistical methods for analysis of clustered binary observations. Stat Med. 2005 Mar 30;24(6):911-23. doi: 10.1002/sim.1958. — View Citation

Karnes RJ, Bergstralh EJ, Davicioni E, Ghadessi M, Buerki C, Mitra AP, Crisan A, Erho N, Vergara IA, Lam LL, Carlson R, Thompson DJ, Haddad Z, Zimmermann B, Sierocinski T, Triche TJ, Kollmeyer T, Ballman KV, Black PC, Klee GG, Jenkins RB. Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population. J Urol. 2013 Dec;190(6):2047-53. doi: 10.1016/j.juro.2013.06.017. Epub 2013 Jun 11. — View Citation

Klein EA, Yousefi K, Haddad Z, Choeurng V, Buerki C, Stephenson AJ, Li J, Kattan MW, Magi-Galluzzi C, Davicioni E. A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy. Eur Urol. 2015 Apr;67(4):778-86. doi: 10.1016/j.eururo.2014.10.036. Epub 2014 Nov 12. — View Citation

Lake S, Kammann E, Klar N, Betensky R. Sample size re-estimation in cluster randomization trials. Stat Med. 2002 May 30;21(10):1337-50. doi: 10.1002/sim.1121. — View Citation

Lobo JM, Dicker AP, Buerki C, Daviconi E, Karnes RJ, Jenkins RB, Patel N, Den RB, Showalter TN. Evaluating the clinical impact of a genomic classifier in prostate cancer using individualized decision analysis. PLoS One. 2015 Apr 2;10(3):e0116866. doi: 10.1371/journal.pone.0116866. eCollection 2015. — View Citation

Michalopoulos SN, Kella N, Payne R, Yohannes P, Singh A, Hettinger C, Yousefi K, Hornberger J; PRO-ACT Study Group. Influence of a genomic classifier on post-operative treatment decisions in high-risk prostate cancer patients: results from the PRO-ACT study. Curr Med Res Opin. 2014 Aug;30(8):1547-56. doi: 10.1185/03007995.2014.919908. Epub 2014 May 15. — View Citation

Nguyen PL, Shin H, Yousefi K, Thompson DJ, Hornberger J, Hyatt AS, Badani KK, Morgan TM, Feng FY. Impact of a Genomic Classifier of Metastatic Risk on Postprostatectomy Treatment Recommendations by Radiation Oncologists and Urologists. Urology. 2015 Jul;86(1):35-40. doi: 10.1016/j.urology.2015.04.004. — View Citation

Ross AE, Johnson MH, Yousefi K, Davicioni E, Netto GJ, Marchionni L, Fedor HL, Glavaris S, Choeurng V, Buerki C, Erho N, Lam LL, Humphreys EB, Faraj S, Bezerra SM, Han M, Partin AW, Trock BJ, Schaeffer EM. Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men. Eur Urol. 2016 Jan;69(1):157-65. doi: 10.1016/j.eururo.2015.05.042. Epub 2015 Jun 6. — View Citation

Thompson IM, Tangen CM, Paradelo J, Lucia MS, Miller G, Troyer D, Messing E, Forman J, Chin J, Swanson G, Canby-Hagino E, Crawford ED. Adjuvant radiotherapy for pathological T3N0M0 prostate cancer significantly reduces risk of metastases and improves survival: long-term followup of a randomized clinical trial. J Urol. 2009 Mar;181(3):956-62. doi: 10.1016/j.juro.2008.11.032. Epub 2009 Jan 23. — View Citation

Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006 Nov-Dec;26(6):565-74. doi: 10.1177/0272989X06295361. — View Citation

Wu S, Crespi CM, Wong WK. Comparison of methods for estimating the intraclass correlation coefficient for binary responses in cancer prevention cluster randomized trials. Contemp Clin Trials. 2012 Sep;33(5):869-80. doi: 10.1016/j.cct.2012.05.004. Epub 2012 May 22. — View Citation

Yamoah K, Johnson MH, Choeurng V, Faisal FA, Yousefi K, Haddad Z, Ross AE, Alshalafa M, Den R, Lal P, Feldman M, Dicker AP, Klein EA, Davicioni E, Rebbeck TR, Schaeffer EM. Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer. J Clin Oncol. 2015 Sep 1;33(25):2789-96. doi: 10.1200/JCO.2014.59.8912. Epub 2015 Jul 20. — View Citation

* Note: There are 21 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Number of Participants That Receive Adjuvant Therapy (Radiation and/or Hormone Therapy) Adjuvant will be defined as preceding biochemical recurrence (BCR) (i.e.: PSA = 0.2 ng/ml) and within 18 months of radical prostatectomy. within 18 months of radical prostatectomy
Secondary Time (From Randomization) to Adjuvant Treatment Administration Adjuvant treatment (radiation and/or hormone) is defined as preceding BCR. BCR occurs when prostate specific antigen (PSA) = 0.2 ng/ml. Up to 18 months post randomization
Secondary Time (From Randomization) to Salvage Treatment Administration Salvage treatment (radiation and/or hormone therapy) is defined as either after BCR or >18 months after surgery in the absence of documented BCR Up to 5 years post randomization
Secondary Time (From Randomization) to Biochemical Recurrence (BCR) BCR is defined as PSA = 0.2 ng/ml. Up to 5 years post randomization
Secondary Time (From Randomization) to Metastatic Disease (Regional or Distant) Metastasis is determined based on CT, MRI, bone scan, and/or positron emission tomography (PET) scan Up to 5 years post randomization
Secondary Michigan Urological Surgery Improvement Collaborative (MUSIC) Patient Reported Outcomes (PRO) Composite Expanded Prostate Cancer Index Composite (EPIC)-26 domain scores for a) urinary irritative function, b) urinary incontinence, and c) sexual function will be measured at baseline and 24 months post-radical prostatectomy. Each of the 3 domains is scaled from 0-100 (higher is better). Up to 24 months post radical prostatectomy
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