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A mathematical approach to virus therapy of glioblastomas

Overview of attention for article published in Biology Direct, January 2016
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Title
A mathematical approach to virus therapy of glioblastomas
Published in
Biology Direct, January 2016
DOI 10.1186/s13062-015-0100-7
Pubmed ID
Authors

Victor Lopez de Rioja, Neus Isern, Joaquim Fort

Abstract

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. 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. 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. This article was reviewed by Yang Kuang and Georg Luebeck. For the full reviews, please go to the Reviewers' comments section.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 3 18%
Other 2 12%
Student > Bachelor 2 12%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 4 24%
Mathematics 2 12%
Agricultural and Biological Sciences 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Immunology and Microbiology 1 6%
Other 3 18%
Unknown 4 24%