Cancer immunoprevention, a recent development of tumor immunology based on vaccines and other immunological maneuvers to actively reduce the risk of cancer development, will greatly benefit from immunomic approaches for its progress in basic research and for its translation to human applications. The main approaches discussed in this chapter are the use of genetically-modified mouse models, microarray studies and data mining approaches to define antitumor immune responses and to discover new oncoantigens, and agent-based mathematical models to simulate tumor-immune system interactions and to perfect vaccination protocols.

Translational immunomics of cancer prevention.

NICOLETTI, GIORDANO;PALLADINI, ARIANNA;MURGO, ANNALISA;ANTOGNOLI, AGNESE;CROCI, STEFANIA;LOLLINI, PIER LUIGI
2009

Abstract

Cancer immunoprevention, a recent development of tumor immunology based on vaccines and other immunological maneuvers to actively reduce the risk of cancer development, will greatly benefit from immunomic approaches for its progress in basic research and for its translation to human applications. The main approaches discussed in this chapter are the use of genetically-modified mouse models, microarray studies and data mining approaches to define antitumor immune responses and to discover new oncoantigens, and agent-based mathematical models to simulate tumor-immune system interactions and to perfect vaccination protocols.
2009
Clinical applications of immunomics
253
268
G. Nicoletti; A. Palladini; A. Murgo; A. Antognoli; S. Croci; F. Pappalardo; S. Motta; P.-L. Lollini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/69846
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