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Updated: Jun 3, 2025

Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
Published on: January 7, 2019
A Multiple-Model-Informed Drug-Development Approach for Optimal Regimen Selection of an Oncolytic Virus in
Akihiro Yamada1, Mary P Choules2, Frances A Brightman3
1Astellas Pharma Inc., Tokyo, Japan.
Abstract:
The antitumor efficacy of an intratumoral injection of a genetically engineered oncolytic vaccinia virus carrying human IL-7 and murine IL-12 genes (hIL-7/mIL-12-VV) was demonstrated in CT26.WT-bearing mice. In the CT26.WT-bearing mouse model, the efficacy of the combination of hIL-7/mIL-12-VV plus the anti-programmed cell death protein (PD)-1 antibody was determined to be correlated with the timing of administration: greater efficacy was observed when hIL-7/mIL-12-VV was administered before the anti-PD-1 agent instead of simultaneous administration. To identify an optimal dosing regimen for first-in-human clinical trials, a multiple model-informed drug-development (MIDD) approach was used through development of a quantitative systems pharmacology (QSP) model and an agent-based model (ABM). All models were built and verified using available literature and preclinical study data. Multiple dosing scenarios were explored using virtual populations by altering the interval between hIL-7/hIL-12-VV and pembrolizumab administration. In contrast with observations from preclinical studies, both the QSP and the ABM models demonstrated no antagonistic effect on the dose-dependent antitumor efficacy of hIL-7/hIL-12-VV by pembrolizumab in simulations of clinical therapy. Based on the MIDD strategy, it was recommended that the highest dose of hIL-7/hIL-12-VV and pembrolizumab should be administered on the same day, but with pembrolizumab administration following hIL-7/hIL-12-VV administration. Multiple different modeling approaches uniquely supported and informed the first-in-human clinical trial design by guiding the optimal dose and regimen selection.
Insights
This study used modeling to optimize the dosing of an oncolytic virus and immunotherapy combination for cancer treatment. The models suggest administering the virus and anti-PD-1 antibody on the same day for optimal antitumor efficacy.
Area of Science:
- Oncology
- Immunotherapy
- Virology
- Computational Biology
Background:
- Genetically engineered oncolytic vaccinia virus (hIL-7/mIL-12-VV) shows antitumor efficacy.
- Combination therapy with anti-PD-1 antibodies requires optimized dosing strategies.
- Preclinical data suggested timing of administration impacts efficacy.
Purpose of the Study:
- To identify an optimal dosing regimen for first-in-human clinical trials of hIL-7/mIL-12-VV and anti-PD-1 antibody.
- To utilize a model-informed drug development (MIDD) approach for dose and regimen selection.
- To predict the interaction between oncolytic virus and immunotherapy in a clinical setting.
Main Methods:
- Developed a quantitative systems pharmacology (QSP) model and an agent-based model (ABM).
- Validated models using literature and preclinical data.
- Simulated multiple dosing scenarios with virtual populations, altering administration intervals.
Main Results:
- QSP and ABM models predicted no antagonistic effect between hIL-7/mIL-12-VV and pembrolizumab.
- Simulations indicated dose-dependent antitumor efficacy is maintained.
- Recommended same-day administration of hIL-7/mIL-12-VV and pembrolizumab, with pembrolizumab following the virus.
Conclusions:
- MIDD strategy successfully guided optimal dose and regimen selection for clinical trials.
- Modeling approaches provided unique insights into combination therapy design.
- The findings support the initiation of first-in-human clinical trials with a defined dosing strategy.
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