Effect of upfront dose reductions on efficacy of enfortumab vedotin and pembrolizumab (EVP) in advanced urothelial carcinoma (aUC): A UNITE analysis.
Abstract
696 Background: EVP is the preferred 1st-line therapy for patients (pts) with aUC. Upfront EV dose reductions may be utilized to enhance tolerance and minimize treatment-related toxicities when intolerance is anticipated. Prior studies of EV monotherapy suggest that starting dose 1.25 mg/kg resulted in exposure that maximized chance of response. We hypothesize that upfront EV dose reductions would not compromise EVP efficacy. Methods: Pts with aUC treated with EVP in the multi-site UNITE database were analyzed. Upfront dose reduction was defined as starting dose < 1.25 mg/kg. Correlation between clinical features and EV dose reduction were assessed using Fisher’s Exact test. Endpoints include progression-free survival (PFS) and overall survival (OS) from EVP initiation, assessed by Kaplan-Meier analysis and Cox models. Multivariable Cox analysis (MVA) included age (< 75 vs ≥ 75), ECOG performance status (PS) (0-1 vs 2-3), hemoglobin level (< 10 vs ≥ 10), and liver metastases (present vs absent), chosen in accordance with Bellmunt criteria. Correlation with investigator-assessed observed response rate (ORR) was determined using logistic regressions. All tests were 2-sided with p < 0.05 considered significant. Results: A total of 456 pts across 17 sites were included (median age 72; 77% Caucasian; 75% male; 26% upper tract primary; 66% pure UC; 77% ECOG PS 0-1; 17% with liver metastasis; 89% 1 st line EVP). Upfront dose reduction occurred in 96 pts (21%); 76 pts (79%) started at 1.0 mg/kg and 20 pts (21%) at 0.75 mg/kg. Upfront dose reduction was significantly associated with age ≥ 75 (p = 0.002), ECOG PS 2/3 (p = 0.04), and hemoglobin < 10 (p = 0.01) but not with liver metastasis (p = 0.9). Lower starting EV dose correlated with shorter median PFS (5 vs 6 months) and OS (9 vs 10 months), and lower ORR (28% vs. 60%) when compared to full dose (Table). In MVA adjusting for prognostic factors for PFS and OS, these associations were no longer statistically significant. Conclusions: In this real-world analysis, upfront EV dose reductions were most frequently used in pts with factors associated with frailty and poor prognosis, e.g. older age and ECOG PS 2/3, and were associated with lower ORR. When adjusted for these factors, upfront EV dose reductions were not associated with shorter PFS/OS though a trend towards inferior outcomes persisted. These differences in outcomes may reflect baseline risk factors rather than dose intensity; however, prospective investigation is required to validate our hypothesis-generating results. Association of upfront EV dose reduction with outcomes. Outcome (Upfront dose reduction vs no upfront dose reduction) Univariable analysis Multivariable analysis PFS: HR (95% CI), p 1.50 (1.11 – 2.02), 0.008 1.33 (0.95-1.86), 0.09 OS: HR (95% CI), p 1.56 (1.11-2.20), 0.01 1.41 (0.96-2.06), 0.08 ORR: OR (95% CI), p 0.35 (0.21-0.60), 0.0001 0.38 (0.21-0.67), 0.0009
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Jeffrey Yinhong Zhong
Division of Solid Tumor Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
Albert Jang
Division of Medical Oncology, Department of Oncology Mayo Clinic Rochester Minnesota USA
Tanya Jindal
1University of California, San Francisco, San Francisco, United States
Cindy Y. Jiang
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
Zachariah Thomas
Eugene Oh
Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School
Charles B Nguyen
City of Hope Comprehensive Cancer Center, Duarte, CA
Dimitra Bakaloudi
University of Washington, Fred Hutchinson Cancer Center, Seattle, WA
Salvador Casas
City of Hope, Duarte, CA
Abhishek Tripathi
Department of Medical Oncology and Therapeutics Research City of Hope Comprehensive Cancer Center Duarte California USA
Petros Grivas
Division of Medical Oncology, Department of Medicine University of Washington Seattle Washington USA
Irene Tsung
Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
Matthew T. Campbell
Omar Alhalabi
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
Melissa A Reimers
Division of Oncology, Department of Internal Medicine, Washington University in St. Louis, St. Louis, MO
Ali Raza Khaki
Stanford Cancer Institute, Stanford, CA
Zhengyi Chen
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH
Pingfu Fu
6Case Western Reserve University, Cleveland, United States
Vadim S. Koshkin
Division of Hematology/Oncology, Department of Medicine University of California‐San Francisco San Francisco 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