Modeling the spatiotemporal dynamics of virotherapy and immune response as a treatment for cancer
Abstract
Oncolytic virotherapy is a promising treatment for cancer, which uses viruses that selectively target and kill cancer cells. In this article, we developed a system of partial differential equations, which describes the spatiotemporal dynamics of cancer cells under virotherapy and immune response. We carried out numerical simulations of the system and analyzed the important biological parameters. The numerical results suggest that high viral infection plays an important role in improving the treatment outcomes. Moreover, strong immune response can improve the result of virotherapy along with a high immune killing rate of cancer cells. This model could be validated by using patients’ data; and thus it may help oncologists choose the optimal therapy to eradicate cancer.
- Published
- 27 October 2019
- Volume
- 2019 (2019)
- License
- CC BY 3.0
Copyright © 2019 Najwa Al-Johani, Eman Simbawa, Salma Al-Tuwairqi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
N. Al-Johani, E. Simbawa, S. Al-Tuwairqi, Modeling the spatiotemporal dynamics of virotherapy and immune response as a treatment for cancer, Commun. Math. Biol. Neurosci. 2019 (2019), 28. https://doi.org/10.28919/cmbn/4294
BibTeX
@article{Al-Johani2019,
author = {Al-Johani, Najwa and Simbawa, Eman and Al-Tuwairqi, Salma},
title = {Modeling the spatiotemporal dynamics of virotherapy and immune response as a treatment for cancer},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2019},
year = {2019},
pages = {28},
doi = {10.28919/cmbn/4294}
}