Abstract
It has been a long-standing vision of scientists studying tumor immunology to use the immune system’s effectors for the therapy of cancer by directing them against target molecules expressed selectively on tumor cells. Different genetic approaches for discovery of such target candidates have been developed over the last 15 yr and are being pursued. The classical approaches apply expression cloning using either cancer-reactive T-lymphocytes or autoantibodies in crude patient sera as probes to identify target molecules of spontaneous immune responses. Recent concepts utilizing high-density microarray analysis, subtractive library approaches, or in silico cloning aim at the identification of genes with cancer cell-associated expression and subsequently address the immunogenicity of such molecules with reverse immunology. This chapter summarizes the peculiarities of these approaches, reflects on rationale criteria for selection of vaccine candidates, and discusses how integrated discovery and validation strategies may assist in the delivery of suitable targets.
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Türeci, Ö., Klamp, T., Koslowski, M., Kreiter, S., Sahin, U. (2006). Discovery of Target Molecules for Cancer Immunotherapy by Genetic and Bioinformatic Approaches. In: Disis, M.L. (eds) Immunotherapy of Cancer. Cancer Drug Discovery and Development. Humana Press. https://doi.org/10.1385/1-59745-011-1:001
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