Modelling vaccination schedules for a cancer immunoprevention vaccine.
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This model accurately reproduces in-vivo experiments results on HER-2/neu mice treated with the immuno-prevention cancer vaccine (Triplex) for mammary carcinoma.In vivo experiments have shown the effectiveness of Triplex vaccine in protection of mice from mammary carcinoma.We found that, applying the vaccination scheme used in in-vivo experiments, the number of vaccine injections can be reduced roughly by 30%.
Affiliation: Department of Mathematics and Computer Science, University of Catania, Catania, Italy. motta@dmi.unict.it
ABSTRACT
We present a systematic approach to search for an effective vaccination schedule using mathematical computerized models. Our study is based on our previous model that simulates the cancer vs immune system competition activated by tumor vaccine. This model accurately reproduces in-vivo experiments results on HER-2/neu mice treated with the immuno-prevention cancer vaccine (Triplex) for mammary carcinoma. In vivo experiments have shown the effectiveness of Triplex vaccine in protection of mice from mammary carcinoma. The full protection was conferred using chronic (prophylactic) vaccination protocol while therapeutic vaccination was less efficient. In the present paper we use the computer simulations to systematically search for a vaccination schedule which prevents solid tumor formation. The strategy we used for defining a successful vaccination schedule is to control the number of cancer cells with vaccination cycles. We found that, applying the vaccination scheme used in in-vivo experiments, the number of vaccine injections can be reduced roughly by 30%. No MeSH data available. Related in: MedlinePlus |
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Figure 2: Grafical representation of lymphocytes and antigen presenting cells. Mentions: Figures 2 and 3 show a graphical representation of lymphocytes and antigens. The bit-string is labelled with its decimal representation. The figures are taken from ImmSim v.3 userguide 1. |
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Affiliation: Department of Mathematics and Computer Science, University of Catania, Catania, Italy. motta@dmi.unict.it
No MeSH data available.