title: Tumor immunology.
abstract: Advances in tumor immunology are supporting the clinical implementation of several immunological approaches to cancer in the clinical setting. However, the alternate success of current immunotherapeutic regimens underscores the fact that the molecular mechanisms underlying immune-mediated tumor rejection are still poorly understood. Given the complexity of the immune system network and the multidimensionality of tumor/host interactions, the comprehension of tumor immunology might greatly benefit from high-throughput microarray analysis, which can portrait the molecular kinetics of immune response on a genome-wide scale, thus accelerating the discovery pace and ultimately catalyzing the development of new hypotheses in cell biology. Although in its infancy, the implementation of microarray technology in tumor immunology studies has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to an effective immune response against cancer. Although the general principles of microarray-based gene profiling have rapidly spread in the scientific community, the need for mastering this technique to produce meaningful data and correctly interpret the enormous output of information generated by this technology is critical and represents a tremendous challenge for investigators, as outlined in the first section of this book. In the present Chapter, we report on some of the most significant results obtained with the application of DNA microarray in this oncology field.
authors.affiliation: Clinica Chirurgica II, Dipartimento di Scienze Oncologiche e Chirurgiche, University of Padova, Via Giustiniani 2, Italy. mocellins@hotmail.com
authors.forename: Simone
authors.initials: S
authors.lastname: Mocellin
authors.forename: Mario
authors.initials: M
authors.lastname: Lise
authors.forename: Donato
authors.initials: D
authors.lastname: Nitti
mesh_terms: D000818:Animals; D019496:Cancer Vaccines; D003713:Dendritic Cells / Q000166:cytology; D020869:Gene Expression Profiling / Q000379:methods; D016678:Genome; D006801:Humans; D007167:Immunotherapy / Q000379:methods*; D007963:Leukocytes, Mononuclear / Q000166:cytology; D008954:Models, Biological; D009369:Neoplasms / Q000276:immunology* / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D013601:T-Lymphocytes / Q000166:cytology
chemical_list: D019496:Cancer Vaccines