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.