Abstract
Glioma is a human brain tumor that is very difficult to treat at an advanced stage. Studies of glioma biomarkers have shown that some markers are released into the bloodstream, so data from these markers indicate a decrease in the concentration of blood glucose and serum glucose in patients with glioma; these suggest an association between glucose and glioma. This decrease mechanism in glucose concentration can be described by the coupled ordinary differential equations of the early-stage glioma growth and interactions between glioma cells, immune cells, and glucose concentration. In this paper, we propose developing a new mathematical model to explain how glioma cells evolve and survive combination therapy between chemotherapy and oncolytic virotherapy, as an alternative to glioma treatment. In this study, three therapies were applied for analysis, that is, (1) chemotherapy, (2) virotherapy, and (3) a combination of chemotherapy and virotherapy. Virotherapy uses specialist viruses that only attack tumor cells. Based on the simulation results of the therapy carried out, we conclude that combination therapy can reduce the glioma cells significantly compared to the other two therapies. The simulation results of this combination therapy can be an alternative to glioma therapy.
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Funding
This study was supported by grants from the Directorate of Research and Community Service, Directorate General of Research and Development Strengthening, Ministry of Research, Technology and Higher Education, Indonesia by the Letter of Agreement for the Implementation of Research Programs Number: 2018/IT3.L1/PN/2021 dated 15 March 2021.
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H.H., S.T.W., A.A.S., and A.K. wrote the manuscript; H.H. and A.K. work the research; H.H., S.T.W., A.A.S., and A.K. designed the research.
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Handoko, H., Wahyudi, S.T., Setyawan, A.A. et al. A dynamical model of combination therapy applied to glioma. J Biol Phys 48, 439–459 (2022). https://doi.org/10.1007/s10867-022-09618-8
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DOI: https://doi.org/10.1007/s10867-022-09618-8