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Updated: Mar 27, 2026

Tumor Treating Field Therapy in Combination with Bevacizumab for the Treatment of Recurrent Glioblastoma
Published on: October 27, 2014
A mathematical approach to virus therapy of glioblastomas
Victor Lopez de Rioja1, Neus Isern2, Joaquim Fort3
1ICREA/Complex Systems Laboratory, Departament de Física, Universitat de Girona, Girona, 17071, Catalonia, Spain.
Background:
It is widely believed that the treatment of glioblastomas (GBM) could benefit from oncolytic virus therapy. Clinical research has shown that Vesicular Stomatitis Virus (VSV) has strong oncolytic properties. In addition, mathematical models of virus treatment of tumors have been developed in recent years. Some experiments in vitro and in vivo have been done and shown promising results, but have been never compared quantitatively with mathematical models. We use in vitro data of this virus applied to glioblastoma.
Results:
We describe three increasingly realistic mathematical models for the VSV-GBM in vitro experiment with progressive incorporation of time-delay effects. For the virus dynamics, we obtain results consistent with the in vitro experimental speed data only when applying the more complex and comprehensive model, with time-delay effects both in the reactive and diffusive terms. The tumor speed is given by the minimum of a very simple function that nonetheless yields results within the experimental measured range.
Conclusions:
We have improved a previous model with new ideas and carefully incorporated concepts from experimental results. We have shown that the delay time τ is the crucial parameter in this kind of models. We have demonstrated that our new model can satisfactorily predict the front speed for the lytic action of oncolytic VSV on glioblastoma observed in vitro. We provide a basis that can be applied in the near future to realistically simulate in vivo virus treatments of several cancers.
Insights
Mathematical models incorporating time-delay effects accurately predict oncolytic Vesicular Stomatitis Virus (VSV) lytic action on glioblastoma (GBM) in vitro. This research enhances viral therapy models for cancer treatment.
Area of Science:
- Oncology
- Virology
- Mathematical Biology
Background:
- Glioblastoma (GBM) treatment may benefit from oncolytic virus therapy.
- Vesicular Stomatitis Virus (VSV) exhibits potent oncolytic properties.
- Previous mathematical models for virus-tumor interactions lacked quantitative comparison with experimental data.
Purpose of the Study:
- To quantitatively compare mathematical models with in vitro experimental data for VSV treatment of GBM.
- To develop and refine mathematical models that incorporate time-delay effects for virus-tumor dynamics.
- To predict the lytic action speed of VSV on glioblastoma.
Main Methods:
- Development of three mathematical models of increasing complexity, incorporating time-delay effects.
- Application of models to in vitro experimental data of VSV and GBM.
- Analysis of virus dynamics and tumor front speed using the developed models.
Main Results:
- A comprehensive model with time-delay effects in reactive and diffusive terms accurately matched experimental virus speed data.
- The tumor speed was predicted by a simple function yielding results within the experimental range.
- Model validation against in vitro experimental data for VSV-GBM interaction.
Conclusions:
- The refined mathematical model, incorporating time-delay effects, accurately predicts VSV's lytic action speed on GBM in vitro.
- Time delay (τ) is identified as a critical parameter in these models.
- The study provides a foundation for simulating in vivo oncolytic virus therapy for various cancers.
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