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Quantifying Antibody-Dependent Cellular Cytotoxicity in a Tumor Spheroid Model: Application for Drug Discovery
Published on: April 26, 2024
Quantification of endothelial cell-targeted anti-Bcl-2 therapy and its suppression of tumor growth and
Harsh Vardhan Jain1, Jacques Eduardo Nör, Trachette Levon Jackson
1Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Abstract:
Proapoptotic and antiapoptotic proteins in the Bcl family are key regulators of programmed cell death. It is the interaction between these molecules that determines cellular response to apoptotic signals, making them attractive targets for therapeutic intervention. In recent experiments designed to study tumor angiogenesis, Bcl-2 upregulation in endothelial cells was shown to be a critical mediator of vascular development. In this article, we develop a mathematical model that explicitly incorporates the response of endothelial cells to variations in proapoptotic and antiapoptotic proteins in the Bcl family, as well as the administration of specific antiangiogenic therapies targeted against Bcl-2. The model is validated by comparing its predictions to in vitro experimental data that reports microvessel density prior to and following the administration of 0.05 to 5.0 micromol/L of BL193, a promising small molecule inhibitor of Bcl-2. Numerical simulations of in vivo treatment of tumors predict the existence of a threshold for the amount of therapy required for successful treatment and quantify how this threshold varies with the stage of tumor growth. Furthermore, the model shows how rapidly the least effective dosage of BL193 decreases if an even moderately better inhibitor of Bcl-2 is used and predicts that increasing cell wall permeability of endothelial cells to BL193 does not significantly affect this threshold. A critical challenge of experimental therapeutics for cancer is to decide which drugs are the best candidates for clinical trials. These results underscore the potential of mathematical modeling to guide the development of novel antiangiogenic therapies and to direct drug design.
Insights
Mathematical modeling of Bcl-2 inhibition reveals a therapeutic threshold for antiangiogenic therapies. This approach aids in optimizing cancer treatment strategies and guiding drug development for improved efficacy.
Area of Science:
- Molecular Biology
- Mathematical Modeling
- Cancer Therapeutics
Background:
- Bcl-2 family proteins regulate programmed cell death and are critical in tumor angiogenesis.
- Upregulation of Bcl-2 in endothelial cells promotes vascular development, making it a therapeutic target.
Purpose of the Study:
- To develop a mathematical model simulating endothelial cell response to Bcl-2 family proteins.
- To analyze the efficacy of antiangiogenic therapies targeting Bcl-2, specifically using BL193.
Main Methods:
- Development of a mathematical model incorporating proapoptotic and antiapoptotic Bcl proteins.
- Validation of the model using in vitro experimental data on microvessel density and BL193 treatment.
- Numerical simulations of in vivo tumor treatment to predict therapeutic thresholds.
Main Results:
- The model predicts a threshold for effective antiangiogenic therapy, varying with tumor growth stage.
- A moderately improved Bcl-2 inhibitor significantly reduces the required dosage of BL193.
- Endothelial cell permeability to BL193 does not substantially alter the therapeutic threshold.
Conclusions:
- Mathematical modeling can guide the development of novel antiangiogenic therapies.
- The study highlights the potential of modeling to inform drug design and selection for clinical trials.
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