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.
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Grant support
EC contract FP6-2004-IST-4, No.028069 (ImmunoGrid); Italian Association for Cancer Research (Milan, Italy); Italian Ministry for Education, University and Research PRIN projects; Italian Ministry of Health; University of Bologna (Bologna, Italy); AlmaMedicina Foundation (Bologna, Italy); Italian Leukemia Association; ‘‘Pallotti’’ funds, Department of Experimental Pathology, University of Bologna.
A. Palladini is the recipient of a fellowship from the Italian Foundation for Cancer Research (Milan, Italy). S. Croci is the recipient of a research fellowship (‘‘Assegno di Ricerca’’) from the University of Bologna. A. Antognoli is the recipient of a Ph.D. fellowship from the University of Bologna.
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Lollini, PL. (2009). Translational Immunomics of Cancer Immunoprevention. In: Falus, A. (eds) Clinical Applications of Immunomics. Immunomics Reviews, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-0-387-79208-8_12
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DOI: https://doi.org/10.1007/978-0-387-79208-8_12
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