Optimized scaling of translational factors in oncology: from xenografts to RECIST.

ABSTRACT:

Purpose

Tumor growth inhibition (TGI) models are regularly used to quantify the PK-PD relationship between drug concentration and in vivo efficacy in oncology. These models are typically calibrated with data from xenograft mice and before being used for clinical predictions, translational methods have to be applied. Currently, such methods are commonly based on replacing model components or scaling of model parameters. However, difficulties remain in how to accurately account for inter-species differences. Therefore, more research must be done before xenograft data can fully be utilized to predict clinical response.

Method

To contribute to this research, we have calibrated TGI models to xenograft data for three drug combinations using the nonlinear mixed effects framework. T

SUBMITTER: Baaz M 

PROVIDER: S-EPMC9402719 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature