An Integrative Approach to Inform Optimal Administration of OX40 Agonist Antibodies in Patients with Advanced Solid Tumors
Rui Wang, Chan Gao, Megan Raymond, Gennaro Dito, Dominic Kabbabe, Xiao Shao, Ed Hilt, Yongliang Sun, Irene Pak, Martin Gutierrez, Ignacio Melero, Anna Spreafico, Richard D Carvajal, Michael Ong, Anthony J Olszanski, Christina Milburn, Kent Thudium, Zheng Yang, Yan Feng, Paula M Fracasso, Alan J Korman, Praveen Aanur, Shih-Min A Huang, Michael Quigley
Purpose: The success of checkpoint blockade has led to a significant increase in the development of a broad range of immunomodulatory molecules for the treatment of cancer, including agonists against T-cell costimulatory receptors, such as OX40. Unlike checkpoint blockade, where complete and sustained receptor saturation may be required for maximal activity, the optimal dosing regimen and receptor occupancy for agonist agents is less well understood and requires further study.
Experimental design: We integrated both preclinical and clinical biomarker data sets centered on dose, exposure, receptor occupancy, receptor engagement, and downstream pharmacodynamic changes to model the optimal dose and schedule for the OX40 agonist antibody BMS-986178 alone and in combination with checkpoint blockade.
Results: Administration of the ligand-blocking anti-mouse surrogate antibody OX40.23 or BMS-986178 as monotherapy or in combination with checkpoint blockade led to increased peripheral CD4+ and CD8+ T-cell activation in tumor-bearing mice and patients with solid tumors, respectively. OX40 receptor occupancy between 20% and 50% both in vitro and in vivo was associated with maximal enhancement of T-cell effector function by anti-OX40 treatment, whereas a receptor occupancy > 40% led to a profound loss in OX40 receptor expression, with clear implications for availability for repeat dosing.
Conclusions: Our results highlight the value of an integrated translational approach applied during early clinical development to aggregate preclinical and clinical data in an effort to define the optimal dose and schedule for T-cell agonists in the clinic.
CITA DEL ARTÍCULO Clin Cancer Res. 2019 Nov 15;25(22):6709-6720. doi: 10.1158/1078-0432.CCR-19-0526. Epub 2019 Oct 1.