Dosing of cancer immunotherapy predicted using mathematical modelling
Company 2018
Roche Innovation Center, Basel, Switzerland
The success of immunocytokine-based cancer immunotherapy depends on achieving optimal concentrations of the drugs within the tumor microenvironment. The intratumoral immunocytokine concentration is a complex product of administered drug dose, treatment schedule, and anatomic/ spatial factors. In this study, the researchers utilized sequential pharmacokinetic and imaging data from patients treated with a novel tumor-targeted immunocytokine to generate a mathematical model. The model was able to predict antibody tumor uptake in patients after repeated administrations and identify an optimal dosing regimen.
Prediction of the optimal dosing regimen using a mathematical model of tumor uptake for immunocytokine-based cancer immunotherapy
Benjamin Ribba
Added on: 07-26-2021
[1] https://clincancerres.aacrjournals.org/content/24/14/3325[2] https://data.jrc.ec.europa.eu/dataset/352f7dfd-05cf-434b-a96a-7e270dc76573
