Classification tree phenotypes for early treatment-limiting toxicity after androgen receptor pathway inhibitor initiation in metastatic hormone-sensitive prostate cancer from the IRONMAN registry.
Abstract
5095 Background: Androgen receptor pathway inhibitors (ARPIs) improve survival in metastatic hormone-sensitive prostate cancer (mHSPC), but early treatment-limiting toxicity remains common. Using the IRONMAN (International Registry for Men with Advanced Prostate Cancer; NCT03151629) registry, we developed an interpretable classification tree that yields simple rule-based 1-year risk strata for a composite adverse outcome (AO) after ARPI initiation. Methods: Men with mHSPC initiating first-line ARPI with at least 12 months follow-up or AO within 365 days were included (n=583). AO was the first serious adverse event (SAE) or ARPI discontinuation for toxicity or other non-progression reasons; progression-attributed events were not counted. Candidate peri-ARPI initiation predictors (demographics, labs, treatments/medications, patient-reported outcomes) were screened for missingness, imbalance, and collinearity, reduced by stepwise logistic regression, and entered a recursive-partitioning classification tree with restricted depth and node size. Discrimination was summarized by area under the receiver operating characteristic curve (AUC) and repeated 3-fold cross-validation. Terminal nodes were collapsed into low, intermediate, and high-risk strata by predicted 1-year AO. Results: Overall, 122/583 men (20.9%) had AO within 1 year (85 SAEs; 37 discontinuations [28 toxicity, 9 other non-progression]). AO-free survival did not differ by ARPI agent (log-rank p=0.40); ARPIs were pooled. Peri-ARPI docetaxel exposure (triplet therapy) was uncommon (2.4%). The final tree retained nine predictors, including European Organization for Research and Treatment of Cancer global health rating (1-7), hemoglobin, worst pain (0-10), lactate dehydrogenase (LDH), age, docetaxel, and opioid agonist and systemic steroid use. In-sample AUC was 0.76 (95% CI 0.71-0.81); cross-validated AUC was 0.60 (95% CI 0.55-0.65). Collapsed strata showed distinct 1-year AO risk (Table 1). High-risk phenotypes reflected poor health/symptoms with anemia and/or elevated LDH, and a treatment-intensity phenotype with triplet therapy plus opioids and steroids. Conclusions: A small classification tree identified three clinically transparent phenotypes of early AO after ARPI initiation in mHSPC and can be applied as simple decision rules to support monitoring and shared decision-making. External validation is needed. Tree risk strata and 1-year AO risk. Risk stratum n (%) 1-year AO %, (95% CI) Low 422 (72) 10.7 (7.7–13.6) Intermediate 80 (14) 26.3 (16.6–35.9) High 81 (14) 69.1 (59.1–79.2)
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Alexandra Larkin
Department of Medicine, Section of Hematology/Oncology, The University of Chicago, Chicago, IL
Waqaas Akmal
The University of Chicago Bioinformatics Program, Chicago, IL
Maaz S. Imam
Carle Illinois College of Medicine, Urbana, IL
Mihai Giurcanu
University of Chicago Bucksbaum Institute for Clinical Excellence, Chicago, IL
Joaquin Mateo
Vall d’Hebron Institute of Oncology, Vall d’Hebron University Hospital, Barcelona
Kim N. Chi
Deborah Enting
Ian D. Davis
School of Medicine, Monash University
Anders Bjartell
Skåne University Hospital, Department of Urology, Malmö, Sweden
Aurelius Gabriel Omlin
Kantonsspital St. Gallen, St. Gallen, Switzerland
Kjell Magne Russnes
Oslo Univeristy Hospital, Oslo, Norway
Raymond S. McDermott
St Vincent’s University Hospital and Cancer Trials Ireland, Dublin, Ireland
Andre P. Fay
PUCRS School of Medicine, Hospital Nora Teixeira, Porto Alegre, Brazil
Charles Waihenya
University of Nairobi, Nairobi, Kenya
Camille Ragin
Karen A. Autio
Memorial Sloan Kettering Cancer Center, New York, NY
Daniel J. George
Duke Cancer Institute, Duke University School of Medicine, Durham, NC
Philip W. Kantoff
Lorelei A. Mucci
Nabiel Ali Mir
The University of Chicago Comprehensive Cancer Center, Chicago, IL