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A Translational Quantitative Systems Pharmacology Model for CD3 Bispecific Molecules: Application to Quantify T Cell-Mediated Tumor Cell Killing by P-Cadherin LP DART®

Authors :
Alison Betts
Lindsay King
Frank Barletta
Piet H. van der Graaf
Dhaval K. Shah
Xiaoying Chen
Tracey Clark
Andrea T. Hooper
Nahor Haddish-Berhane
Cris Kamperschroer
Adam Root
Source :
The AAPS Journal
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

CD3 bispecific antibody constructs recruit cytolytic T cells to kill tumor cells, offering a potent approach to treat cancer. T cell activation is driven by the formation of a trimolecular complex (trimer) between drugs, T cells, and tumor cells, mimicking an immune synapse. A translational quantitative systems pharmacology (QSP) model is proposed for CD3 bispecific molecules capable of predicting trimer concentration and linking it to tumor cell killing. The model was used to quantify the pharmacokinetic (PK)/pharmacodynamic (PD) relationship of a CD3 bispecific targeting P-cadherin (PF-06671008). It describes the disposition of PF-06671008 in the central compartment and tumor in mouse xenograft models, including binding to target and T cells in the tumor to form the trimer. The model incorporates T cell distribution to the tumor, proliferation, and contraction. PK/PD parameters were estimated for PF-06671008 and a tumor stasis concentration (TSC) was calculated as an estimate of minimum efficacious trimer concentration. TSC values ranged from 0.0092 to 0.064 pM across mouse tumor models. The model was translated to the clinic and used to predict the disposition of PF-06671008 in patients, including the impact of binding to soluble P-cadherin. The predicted terminal half-life of PF-06671008 in the clinic was approximately 1 day, and P-cadherin expression and number of T cells in the tumor were shown to be sensitive parameters impacting clinical efficacy. A translational QSP model is presented for CD3 bispecific molecules, which integrates in silico, in vitro and in vivo data in a mechanistic framework, to quantify and predict efficacy across species. Electronic supplementary material The online version of this article (10.1208/s12248-019-0332-z) contains supplementary material, which is available to authorized users.

Details

ISSN :
15507416
Volume :
21
Database :
OpenAIRE
Journal :
The AAPS Journal
Accession number :
edsair.doi.dedup.....67a4533e89bfaa44bc4fccaeed305a35
Full Text :
https://doi.org/10.1208/s12248-019-0332-z