Cancer immunoprevention: What can we learn from in silico models?

Francesco Pappalardo, Marzio Pennisi, Alessandro Cincotti, Ferdinando Chiacchio, Santo Motta, Pier Luigi Lollini

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Abstract

We present our experience of the artificial immunity induced by an immuoprevention vaccine succesfully tested on transgenic mice. The model mimics the phenomenon of initial cancer growing starting from the stage of the atypical hyperplasia and reproduces the action of the vaccine in activating the immune response. The model has been validated against in-vivo experiments. Finally we use the model to determine an optimal vaccination scheduling which reduce to a minimum the number of vaccine administrations still preventing the solid tumor formation is a population of virtual mice. The vaccination schedule proposed by the model is substantially lighter than the one's determined by the standard intuitive procedure.

Lingua originaleInglese
Titolo della pubblicazione ospiteAdvanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Proceedings
Pagine111-118
Numero di pagine8
DOI
Stato di pubblicazionePubblicato - 2010
Pubblicato esternamente
Evento6th International Conference on Intelligent Computing, ICIC 2010 - Changsha, China
Durata: 18 ago 201021 ago 2010

Serie di pubblicazioni

NomeCommunications in Computer and Information Science
Volume93 CCIS
ISSN (stampa)1865-0929

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???event.eventtypes.event.conference???6th International Conference on Intelligent Computing, ICIC 2010
Paese/TerritorioChina
CittàChangsha
Periodo18/08/1021/08/10

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