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Quantitative systems pharmacology model of GITR-mediated T cell dynamics in tumor microenvironment.
Ji, Yan; Madrasi, Kumpal; Knee, Deborah A; Gruenbaum, Lore; Apgar, Joshua F; Burke, John M; Gomes, Bruce.
Afiliación
  • Ji Y; Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA.
  • Madrasi K; Sanofi, Bridgewater, New Jersey, USA.
  • Knee DA; Novartis Institutes for Biomedical Research, San Diego, California, USA.
  • Gruenbaum L; Therapy Acceleration Program, The Leukemia & Lymphoma Society, Rye Brook, New York, USA.
  • Apgar JF; Applied Biomath LLC, Concord, Massachusetts, USA.
  • Burke JM; Applied Biomath LLC, Concord, Massachusetts, USA.
  • Gomes B; Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
CPT Pharmacometrics Syst Pharmacol ; 12(3): 413-424, 2023 03.
Article en En | MEDLINE | ID: mdl-36710369
ABSTRACT
T cell interaction in the tumor microenvironment is a key component of immuno-oncology therapy. Glucocorticoid-induced tumor necrosis factor receptor (TNFR)-related protein (GITR) is expressed on immune cells including regulatory T cells (Tregs) and effector T cells (Teffs). Preclinical data suggest that agonism of GITR in combination with Fc-γ receptor-mediated depletion of Tregs results in increased intratumoral TeffTreg ratio and tumor shrinkage. A novel quantitative systems pharmacology (QSP) model was developed for the murine anti-GITR agonist antibody, DTA-1.mIgG2a, to describe the kinetics of intratumoral Tregs and Teffs in Colon26 and A20 syngeneic mouse tumor models. It adequately captured the time profiles of intratumoral Treg and Teff and serum DTA-1.mIgG2a and soluble GITR concentrations in both mouse models, and described the response differences between the two models. The QSP model provides a quantitative understanding of the trade-off between maximizing Treg depletion versus Teff agonism, and offers insights to optimize drug design and dose regimen.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microambiente Tumoral / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: CPT Pharmacometrics Syst Pharmacol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microambiente Tumoral / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: CPT Pharmacometrics Syst Pharmacol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos