Radiation and PD-(L)1 treatment combinations: immune response and dose optimization via a predictive systems model.

ABSTRACT: BACKGROUND:Numerous oncology combination therapies involving modulators of the cancer immune cycle are being developed, yet quantitative simulation models predictive of outcome are lacking. We here present a model-based analysis of tumor size dynamics and immune markers, which integrates experimental data from multiple studies and provides a validated simulation framework predictive of biomarkers and anti-tumor response rates, for untested dosing sequences and schedules of combined radiation (RT) and anti PD-(L)1 therapies. METHODS:A quantitative systems pharmacology model, which includes key elements of the cancer immunity cycle and the tumor microenvironment, tumor growth, as well as dose-exposure-target modulation features, was developed to reproduce experimental data of CT26 tumor size

SUBMITTER: Kosinsky Y 

PROVIDER: S-EPMC5830328 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature