Abstract
Objective:
To assess the effect of an individualized genomic classifier (GC) test, for predicting metastasis following radical prostatectomy (RP), on urologists’ adjuvant treatment decisions when caring for high-risk patients.
Patients and methods:
Data were submitted by US board-certified urologists in community practices (n = 15), who ordered the GC test for 146 prostate cancer patients with adverse pathologic features following RP (i.e., pathologic stage pT3 or positive surgical margins). Treatment recommendations were reported using an electronic data collection instrument, before and after reviewing the GC test report. Physicians also completed a Decision Conflict Scale (DCS), a decisional conflict measure, to assess their confidence with their treatment recommendations.
Results:
Over 60% of high-risk patients were re-classified as low risk after review of the GC test results. Overall, adjuvant treatment recommendations were modified for 30.8% (95% CI = 23–39%) of patients. With GC test results, 42.5% of patients who were initially recommended adjuvant therapy were subsequently recommended observation. Although the number of patients recommended adjuvant therapy remained the same before and after review of the GC test results, it did influence patient treatment strategies. Multivariable analysis confirmed GC risk was the only significant predictor of treatment recommendations (OR = 4.04; 95% CI = 2.36, 6.92; p < 0.0001). Decisional conflict with regard to adjuvant treatment decisions was significantly less with the use of the GC test (p < 0.0001).
Conclusions:
Information on individualized metastasis risk based on a patient’s tumor biology, with use of the GC test, significantly changed urologists’ adjuvant treatment recommendations for post-operative patients with prostate cancer, who were at high risk of metastasis. Namely, the results of this study provide evidence for the utility of the GC test, and show it may guide use of adjuvant radiation.
Transparency
Declaration of funding
This study was funded by GenomeDx Biosciences.
Declaration of financial/other relationships
Kasra Yousefi is an employee of GenomeDx Biosciences. Christian Hettinger is a consultant to GenomeDx Biosciences. Steven Michalopoulos, Amar Singh, and John Hornberger received a research grant from GenomeDx Biosciences. Naveen Kella, Ryan Payne, and Paulos Yohannes do not have any conflicts to disclose. CMRO Peer Reviewers on this manuscript have received an honorarium from CMRO for their review work, but have no other relevant financial relationships to disclose.
Acknowledgments
The authors would like to thank the participants of the PRO-ACT study for their contributions. Further, Heesun Shin, Christine Buerki, and Elai Davicioni from GenomeDx Biosciences are acknowledged for helpful comments and assistance in preparing this manuscript.