ArticleClinical and translational science2022
Model-informed drug development for immuno-oncology agonistic anti-GITR antibody GWN323: Dose selection based on MABEL and biologically active dose.
Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Patient-Centric First-in-Human Dose Selection: An Ex Vivo Minimal Anticipated Biological Effect Level Approach for T-Cell Engagers in Multiple Myeloma.Clinical pharmacology and therapeutics · 2026Article
- Fc-optimized GITR antibody enhances a CD4 T cell-dendritic cell crosstalk to promote antitumor immunity.Nature cancer · 2026Article
- GITR and GITR-L RNA Expression Levels Correlate with Better Survival and Response to Immunotherapy.Molecular cancer therapeutics · 2026Article
- Application of new approach methodologies for nonclinical safety assessment of drug candidates.Nature reviews. Drug discovery · 2025Review
- Towards in vitro models for reducing or replacing the use of animals in drug testing.Nature biomedical engineering · 2024Article
- Utility and impact of quantitative pharmacology on dose selection and clinical development of immuno-oncology therapy.Cancer chemotherapy and pharmacology · 2024Review
- Transcriptomic analysis of GITR and GITR ligand reveals cancer immune heterogeneity with implications for GITR targeting.American journal of cancer research · 2024Article
- Quantitative systems pharmacology model of GITR-mediated T cell dynamics in tumor microenvironment.CPT: pharmacometrics & systems pharmacology · 2023Article
- Model-informed drug development for immuno-oncology agonistic anti-GITR antibody GWN323: Dose selection based on MABEL and biologically active dose.Clinical and translational science · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
GWN323, an agonistic human anti-GITR (glucocorticoid-induced TNFR-related protein) IgG1 antibody, was studied clinically as an immuno-oncology therapeutic agent. A model-based minimum anticipated biological effect level (MABEL) approach integrating in vitro and in vivo data informed dose selection for the first-in-human (FIH) study. Data evaluated included pharmacokinetics (PK) of DTA-1.mIgG2a (mouse surrogate GITR antibody for GWN323), target-engagement pharmacodynamic (PD) marker soluble GITR (sGITR), tumor shrinkage in Colon26 syngeneic mice administered with DTA-1.mIgG2a, cytokine release of GWN323 in human peripheral blood mononuclear cells, and GITR binding affinity. A PK model was developed to describe DTA-1.mIgG2a PK, and its relationship with sGITR was also modeled. Human GWN323 PK was predicted by allometric scaling of mouse PK. Based on the totality of PK/PD modeling and in vitro and in vivo pharmacology and toxicology data, MABEL was estimated to be 3-10 mg once every 3 weeks (Q3W), which informed the starting dose selection of the FIH study. Based on tumor kinetic PK/PD modeling of tumor inhibition by DTA-1.mIgG2a in Colon26 mice and the predicted human PK of GWN323, the biologically active dose of GWN323 was predicted to be 350 mg Q3W, which informed the dose escalation of the FIH study. GWN323 PK from the FIH study was described by a population PK model; the relationship with ex vivo interleukin-2 release, a target-engagement marker, was also modeled. The clinical PK/PD modeling data supported the biological active dose projected from the translational PK/PD modeling in a "learn and confirm" paradigm of model-informed drug development of GWN323.
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