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Mathematical Modeling of T-Cell Mediated Oncolytic Virotherapy for Glioblastoma Treatment

JSHS · 2025

Daniel Han, Christopher Cook · Millburn High School, Millburn, NJ

Overview

Oncolytic virotherapy (OV) is a form of immunotherapy that uses specific viruses to prevent cancer cell proliferation. Specifically, the Zika virus has shown promise in combating glioblastoma, and they have shown to work with various aspects of the immune response such as T -Cells to eliminate not only glioblastoma cells, but also cancer stem cells. Mathematical models have also shown promise in simulating how these factors interact with one another. In this paper, we aim to answer the following research que stion: what are the optimal conditions in which the Zika virus population and T -Cell population work together to make the virotherapy as successful as possible? We hypothesized that intermediate values surrounding how efficiently Zika viral particles and T-Cells replenish are necessary for close to successful therapy. Ultimately, by using our ODE (Ordinary Differential Equations) mathematical model, our hypothesis was confirmed; both our analytical and numerical results are in agreement and demonstrate that a lack of either factor is detrimental towards virotherapy. There exists critical values where there are major changes in population dynamics as well as the stability of how the cancer stem cells proliferate or decrease as a result of the Zika virus and/or T-Cells.

Competition history

  • JSHS 2025 Category not listed

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Source: Junior Science and Humanities Symposium

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