A Model Based Approach for Translation in Oncology - From Xenografts to RECIST
Conference poster, 2022
alu ate the translational potential of semi mechanistic tumor models (based on xenograft data) to predict clinical oncology results (RECIST
data). Two commonly used translational methods are evaluated: (1) replacement with human PK, and (2) allometric scaling of PD pa rameters. We then compute optimal scaling coefficients given the observed clinical data and relate them to the standard allom etr ic
exponents in method (2). The analysis is performed for three drug combinations: binimetinib/encorafenib (shown below), binime tin ib/ribociclib, and cetuximab/encorafenib.
Author
Marcus Baaz
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Fraunhofer-Chalmers Centre
Tim Cardilin
Fraunhofer-Chalmers Centre
Floriane Lignet
Merck KGaA
Mats Jirstrand
Fraunhofer-Chalmers Centre
Online, ,
Subject Categories
Language Technology (Computational Linguistics)
Pharmaceutical Sciences
Medical Laboratory and Measurements Technologies