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The role of TNF-α inhibitor in glioma virotherapy: A mathematical model

1. Institute of Mathematics, Lodz University of Technology, 90-924 Lodz, Poland
2. Dept. of Mathematics and Statistics, Southern Illinois University Edwardsville, Illinois, 62026-1653, USA
3. Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA

Virotherapy, using herpes simplex virus, represents a promising therapy of glioma. But the innate immune response, which includes TNF-α produced by macrophages, reduces the effectiveness of the treatment. Hence treatment with TNF-α inhibitor may increase the effectiveness of the virotherapy. In the present paper we develop a mathematical model that includes continuous infusion of the virus in combination with TNF-α inhibitor. We study the efficacy of the treatment under different combinations of the two drugs for different scenarios of the burst size of newly formed virus emerging from dying infected cancer cells. The model may serve as a first step toward developing an optimal strategy for the treatment of glioma by the combination of TNF-α inhibitor and oncolytic virus injection.

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Keywords Dynamical system; virotherapy; TNF-α inhibitors; efficacy; combination therapy; glioma

Citation: Elzbieta Ratajczyk, Urszula Ledzewicz, Maciej Leszczynski, Avner Friedman. The role of TNF-α inhibitor in glioma virotherapy: A mathematical model. Mathematical Biosciences and Engineering, 2017, 14(1): 305-319. doi: 10.3934/mbe.2017020


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  • 3. Talal Alzahrani, Raluca Eftimie, Dumitru Trucu, Multiscale Modelling of Cancer Response to Oncolytic Viral Therapy, Mathematical Biosciences, 2019, 10.1016/j.mbs.2018.12.018
  • 4. Johannes P. W. Heidbuechel, Daniel Abate-Daga, Christine E. Engeland, Heiko Enderling, , Oncolytic Viruses, 2020, Chapter 21, 307, 10.1007/978-1-4939-9794-7_21
  • 5. A. M. Elaiw, A. D. Al Agha, A reaction–diffusion model for oncolytic M1 virotherapy with distributed delays, The European Physical Journal Plus, 2020, 135, 1, 10.1140/epjp/s13360-020-00188-z

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Copyright Info: 2017, Elzbieta Ratajczyk, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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