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A Multiscale Mathematical Model for Oncolytic Virotherapy

2009/01/27 by Leticia R. Paiva, Christopher Binny, Silvio C. Ferreira +1 · 84 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Environmental Science · #Animal Virus Infections Studies #Bacteriophages and microbial interactions #Biology #Biotechnology #Cancer #Cancer cell #Cancer research #Genetics #Immune system #Immunology #In vivo #Oncolytic virus #Tumor cells #Virology #Virotherapy #Virus #Virus-based gene therapy research

paper · pdf · doi:10.1158/0008-5472.can-08-2173

published in Cancer Research 69(3), 1205-1211 (American Association for Cancer Research)

openalex publication_date 2009/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

Abstract

One of the most promising strategies to treat cancer is attacking it with viruses. Oncolytic viruses can kill tumor cells specifically or induce anticancer immune response. A multiscale model for virotherapy of cancer is investigated through simulations. It was found that, for intratumoral virus administration, a solid tumor can be completely eradicated or keep growing after a transient remission. Furthermore, the model reveals undamped oscillatory dynamics of tumor cells and virus populations, which demands new in vivo and in vitro quantitative experiments aiming to detect this oscillatory response. The conditions for which each one of the different tumor responses dominates, as well as the occurrence probabilities for the other nondominant therapeutic outcomes, were determined. From a clinical point of view, our findings indicate that a successful, single agent virotherapy requires a strong inhibition of the host immune response and the use of potent virus species with a high intratumoral mobility. Moreover, due to the discrete and stochastic nature of cells and their responses, an optimal range for viral cytotoxicity is predicted because the virotherapy fails if the oncolytic virus demands either a too short or a very large time to kill the tumor cell. This result suggests that the search for viruses able to destroy tumor cells very fast does not necessarily lead to a more effective control of tumor growth.

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