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Bioinformatics Advance Access originally published online on April 7, 2005
Bioinformatics 2005 21(12):2891-2897; doi:10.1093/bioinformatics/bti426
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

Modeling and simulation of cancer immunoprevention vaccine

F. Pappalardo 1,2,*, P.-L. Lollini 3, F. Castiglione 4 and S. Motta 2

1Faculty of Pharmacy, University of Catania Italy
2Department of Mathematics and Computer Science, University of Catania Italy
3Sezione di Cancerologia, Dipartimento di Patologia Sperimentale, University of Bologna Italy and Centro Interdipartimentale di Ricerche sul Cancro ‘Giorgio Prodi’
4Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche Roma, Italy

*To whom correspondence should be addressed.

We present an in silico model that simulates the immune system responses to tumor cells in naive and vaccinated mice. We have demonstrated the ability of this model to accurately reproduce the experimental results.

Motivation: In vivo experiments on HER-2/neu mice have shown the effectiveness of Triplex vaccine in the protection of mice from mammary carcinoma. Full protection was conferred using chronic (prophylactic) vaccination protocol while therapeutic vaccination was less efficient. Our in silico model was able to closely reproduce the effects of various vaccination protocols. This model is the first step towards the development of in silico experiments searching for optimal vaccination protocols.

Results: In silico experiments carried out on two large statistical samples of virtual mice showed very good agreements with in vivo experiments for all experimental vaccination protocols. They also show, as supported by in vivo experiments, that the humoral response is fundamental in controlling the tumor growth and therefore suggest the selection and timing of experiments for measuring the activity of T cells.

Contact: francesco{at}dmi.unict.it

Supplementary information: http://www.dmi.unict.it/CIG/suppdata_bioinf.html


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