Independent validation of a model to predict early favorable PSA response (NADIR model) in enzalutamide-treated patients of the ARCHES trial.
Abstract
5082 Background: Our group recently trained and independently validated a multivariable logistic regression model (NADIR model) to predict early favorable PSA response (≤0.2 ng/mL) in metastatic hormone sensitive prostate cancer (mHSPC) patients (pts) within 6 months of treatment initiation with androgen receptor pathway inhibitor (ARPI). In this work, we independently validated the NADIR model in the enzalutamide (enza) treated patients from the ARCHES trial. Methods: ARCHES is a phase III randomized controlled trial where patients with mHSPC were randomly assigned to ADT versus ADT plus enzalutamide. The locked model was applied to patients in the enza arm and model discrimination was assessed using area under the receiver operating curve (AUC) with 95% confidence intervals (CI) from 5000 bootstrap iterations. Additional performance metrics included Index of prediction accuracy (IPA) relative to null model, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive likelihood ratio (PLR) and negative likelihood ratio (NLR). A Cox proportional hazard model was applied in a 6-month landmark population to determine the hazard of death in middle and lower tertile relative to upper tertile when stratified by tertiles of predicted probability from the NADIR model. Results: 1125 patients with non-missing data were included in this independent validation cohort of whom 559 patients were treated with enza. Approximately 64% (n=360) achieved PSA ≤0.2 ng/mL within 6 months of treatment initiation. The AUC was 0.80 [95% CI 0.76-0.83] and IPA was 23%. The sensitivity, specificity, PPV, NPV, PLR, and NLR were 0.82 [0.77-0.86], 0.56 [0.49-0.63], 0.77 [0.72-0.81], 0.63 [0.55-0.70], 1.85 [1.57-2.17], and 0.33 [0.26-0.42], respectively. The early favorable PSA response rates in patients stratified by decreasing order of tertiles of predicted probability of PSA response from the NADIR model were 92% [88-96], 64% [57-71], and 37% [30-45], respectively. Compared to those in the upper tertile, patients in the middle tertile (HR 1.97 [1.33-2.91]) and lower tertile (HR 2.18 [1.48-3.21]) had significantly worse OS. Among patients with <3 months of ADT before ARPI initiation, the AUC was 0.79 [0.75-0.83] with IPA of 22%. Conclusions: In this independent validation using the ARCHES trial, the NADIR model showed strong discriminatory performance and effectively stratified enzalutamide-treated patients by early favorable PSA response and overall survival. With prospective validation, this model may provide a useful tool for early prognostication in patients with mHSPC receiving ARPI therapy.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Soumyajit Roy
Samuel Lichtman-Mikol
University Hospitals Seidman Cancer Center/Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
Andrew J. Armstrong
Neeraj Agarwal
Division of Medical Oncology Department of Internal Medicine Huntsman Cancer Institute University of Utah Salt Lake City Utah USA
Jorge A. Garcia
Angela Y. Jia
Rana R. McKay
Department of Medicine, Urology, and Radiation Medicine and Applied Sciences University of California‐San Diego La Jolla California USA
Jason Robert Brown
Division of Solid Tumor Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
Spyridon P. Basourakos
University Hospitals Cleveland Medical Center, Cleveland, OH
Iris Yeong- Fung Sheng
Division of Solid Tumor Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center, Cleveland, OH
Amar Upadhyaya Kishan
Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
Pedro C. Barata
Division of Solid Tumor Oncology, Department of Medicine University Hospitals, Cleveland Medical Center Case Western Reserve University School of Medicine Cleveland Ohio USA
Jonathan Evan Shoag
Nicholas G. Zaorsky
Scott C. Morgan
Christopher J.D. Wallis
Division of Urology and Surgical Oncology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
Fred Saad
Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal
Neal D. Shore
START Carolinas/Carolina Urologic Research Center, Myrtle Beach, SC
Yilun Sun
Department of Pharmacology, Physiology, and Drug Development, University of Maryland School of Medicine
Daniel Eidelberg Spratt
University Hospitals Seidman Cancer Center, Case Western Reserve University, Cleveland, OH