Dataset Information

Comparing Model Performance in Characterizing the PK/PD of the Anti-Myostatin Antibody Domagrozumab.

ABSTRACT: Modeling and simulation provides quantitative information on target coverage for dose selection. Optimal model selection often relies on fit criteria and is not necessarily mechanistically driven. One such case is discussed where healthy volunteer data of an anti-myostatin monoclonal antibody domagrozumab were used to develop different target-mediated drug disposition models; a quasi-steady state (QSS) rapid binding approximation model, a Michaelis-Menten (MM)-binding kinetics (MM-BK) model, and an MM-indirect response (MM-IDR) model. Whereas the MM-BK model was identified as optimal in fitting the data, with all parameters estimated with high precision, the QSS model also converged but was not able to capture the nonlinear decline. Although the least mechanistic model, MM-IDR, had the lowest objective function value, the MM-BK model was further developed as it provided a reasonable fit and allowed simulations regarding growth differentiation factor-8 target coverage for phase II dose selection with sufficient certainty to allow for testing of the underlying mechanistic assumptions.

SUBMITTER: Tiwari A

PROVIDER: S-EPMC6951913 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comparing Model Performance in Characterizing the PK/PD of the Anti-Myostatin Antibody Domagrozumab.

Tiwari Abhinav A Bhattacharya Indranil I Chan Phylinda L S PLS Harnisch Lutz L

Clinical and translational science 20191024 1

Modeling and simulation provides quantitative information on target coverage for dose selection. Optimal model selection often relies on fit criteria and is not necessarily mechanistically driven. One such case is discussed where healthy volunteer data of an anti-myostatin monoclonal antibody domagrozumab were used to develop different target-mediated drug disposition models; a quasi-steady state (QSS) rapid binding approximation model, a Michaelis-Menten (MM)-binding kinetics (MM-BK) model, and ...[more]

PMID: 31550073

Similar Datasets

Project description:The efficacy of programmed cell death‑ligand 1 (PD‑L1)/programmed cell death protein 1 (PD‑1) blockade therapy has been demonstrated but is limited in patients with PD‑L1low or immune desert tumors. This limitation can be overcome by combination therapies that include anti‑vascular endothelial growth factor (VEGF) therapy. Such combinations have been investigated in clinical trials for a number of cancer types; however, evidence on the mechanisms underlying their effects in these types of patients is still not sufficient. Therefore, the present study investigated the efficacy and effects on CD8+ T cell and C‑X‑C motif chemokine receptor 3 (CXCR3) ligand expression in tumors by combining anti‑PD‑L1 and anti‑VEGF antibodies using an OV2944‑HM‑1 mouse model with PD‑L1low and immune desert‑like phenotypes. Although the model exhibited anti‑PD‑L1 insensitivity, anti‑PD‑L1 antibody treatment combined with anti‑VEGF antibody inhibited tumor growth compared with anti‑VEGF monotherapy, which itself inhibited tumor growth compared with the control treatment on Day 25. In combination‑treated mice, a higher percentage of CD8+ T cells and higher levels of CXCR3 ligands were observed in tumor tissues compared with those in the anti‑VEGF antibody treatment group, which was not significantly different from control treatment on Day 8. The increase in the intratumoral percentage of CD8+ T cells following the combination treatment was reversed by CXCR3 blocking to the same level as the control. In an anti‑PD‑L1 insensitive model with PD‑L1low and immune desert‑like phenotypes, although anti‑PD‑L1 antibody alone was not effective, anti‑PD‑L1 antibody in combination with anti‑VEGF antibody exhibited antitumor combination efficacy with an increase of CD8+ T cell infiltration, which was suggested to be dependent on the increase of intratumoral CXCR3 ligands. This mechanism could explain the efficacy of anti‑PD‑L1 antibody and anti‑VEGF antibody combination therapy in the clinical setting.

Dataset Information

Comparing Model Performance in Characterizing the PK/PD of the Anti-Myostatin Antibody Domagrozumab.

Publications

Comparing Model Performance in Characterizing the PK/PD of the Anti-Myostatin Antibody Domagrozumab.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets