Abstract
We present an evolutionary approach to the search for effective vaccination schedules using mathematical computerized model as a fitness evaluator. Our study is based on our previous model that simulates the Cancer – Immune System competition activated by a tumor vaccine. The model reproduces pre-clinical results obtained for an immunoprevention cancer vaccine (Triplex) for mammary carcinoma on HER-2/neu mice. A complete prevention of mammary carcinoma was obtained in vivo using a Chronic vaccination schedule. Our genetic algorithm found complete immunoprevention with a much lighter vaccination schedule. The number of injections required is roughly one third of those used in Chronic schedule.
F.P. and S.M. acknowledge partial support from University of Catania research grant and MIUR (PRIN 2004: Problemi matematici delle teorie cinetiche). This work has been done while F.P. is research fellow of the Faculty of Pharmacy of Universiy of Catania. P.-L.L. acknowledges financial support from the University of Bologna, the Department of Experimental Pathology (“Pallotti” fund) and MIUR.
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Pappalardo, F., Mastriani, E., Lollini, P.L., Motta, S. (2006). Genetic Algorithm Against Cancer. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_27
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DOI: https://doi.org/10.1007/11676935_27
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