Interferon and oncolytic virus synergistically regulate the proliferation of tumor cells in oncolytic virotherapy

Oncolytic virotherapy achieves therapeutic effects through virus-mediated targeting of malignant cells, with treatment efficacy fundamentally determined by the dynamic equilibrium between viral propagation and tumor progression. This study establishes a mathematical framework incorporating exponential growth kinetics for tumor proliferation, while considering the combined antiviral effects of oncolytic viruses and interferon-mediated immune responses that collectively suppress tumor expansion thereby inducing a homeostatic state. Through rigorous stability analysis, we demonstrate the inherent instability of both tumor-free state and tumor-virus coexistence state. The analytical and numerical results demonstrate that adjusting system parameters enables the tumor cell population to approach a locally stable equilibrium. Systematic parameter sensitivity studies reveal two critical regulators of tumor burden: the viral budding rate from infected cells ([Formula: see text]) and interferon synthesis rate ([Formula: see text]). These findings provide crucial theoretical guidance for optimizing therapeutic strategies: enhancing viral cytolytic potential through [Formula: see text] modulation in viral engineering, as well as synergistically boosting interferon responses via [Formula: see text] potentiation in combined immunotherapy regimens. The established model offers a quantitative framework for predicting treatment outcomes and designing precision interventions in oncolytic virotherapy.

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Publication Details

Journal
International Journal of Biomathematics
Published
2025-08-25
DOI
https://doi.org/10.1142/s1793524525501049
Primary Topic
Virus-based gene therapy research
Type
article
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article

Interferon and oncolytic virus synergistically regulate the proliferation of tumor cells in oncolytic virotherapy

Qiwen Sun, Yuhong Chen
International Journal of Biomathematics
Virus-based gene therapy research
article

Interferon and oncolytic virus synergistically regulate the proliferation of tumor cells in oncolytic virotherapy

Qiwen Sun, Yuhong Chen
article en

Abstract

Oncolytic virotherapy achieves therapeutic effects through virus-mediated targeting of malignant cells, with treatment efficacy fundamentally determined by the dynamic equilibrium between viral propagation and tumor progression. This study establishes a mathematical framework incorporating exponential growth kinetics for tumor proliferation, while considering the combined antiviral effects of oncolytic viruses and interferon-mediated immune responses that collectively suppress tumor expansion thereby inducing a homeostatic state. Through rigorous stability analysis, we demonstrate the inherent instability of both tumor-free state and tumor-virus coexistence state. The analytical and numerical results demonstrate that adjusting system parameters enables the tumor cell population to approach a locally stable equilibrium. Systematic parameter sensitivity studies reveal two critical regulators of tumor burden: the viral budding rate from infected cells ([Formula: see text]) and interferon synthesis rate ([Formula: see text]). These findings provide crucial theoretical guidance for optimizing therapeutic strategies: enhancing viral cytolytic potential through [Formula: see text] modulation in viral engineering, as well as synergistically boosting interferon responses via [Formula: see text] potentiation in combined immunotherapy regimens. The established model offers a quantitative framework for predicting treatment outcomes and designing precision interventions in oncolytic virotherapy.

International Journal of Biomathematics
Guangzhou University (CN), Guangzhou Center for Disease Control and Prevention (CN)
Good health and well-being
Openalex Percentile: Top 76%
Virus-based gene therapy research
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Interferon and oncolytic virus synergistically regulate the proliferation of tumor cells in oncolytic virotherapy — Qiwen Sun, Yuhong Chen · International Journal of Biomathematics (2025) | TGRS Research Map | TGRS