Vectra Normal client4 3 2003-12-16T10:21:00Z 2003-12-16T10:20:00Z 2003-12-16T10:27:00Z 1 304 1737 HP 14 3 2133 9.2812 2039812140 abstract stefan.stevanovic@uni-tuebingen.de Stefan Stevanovic

Lessons from a solid tumor

Stefan Stevanovic

Institut für Zellbiologie, Abteilung Immunologie, Universität Tübingen, Auf der Morgenstelle 15, D-72076 Tübingen, Germany

A number of different strategies are currently available for the screening of tumor cells for tumor-associated antigens (TAA). Expression cloning followed by assaying T-cell or antibody reactions, gene expression profiling, and proteome analysis have been used to characterize antigens that may serve as targets for tumor diagnostics or specific immunotherapy. While the search for T cell epitopes from TAA has been comparatively successful for melanoma antigens, there is still a discrepancy between large numbers of TAA and small numbers of known T cell epitopes for most other tumors. In order to approach this problem, we established a strategy which combines complementary methods for the identification of such targets for the immune system in an individual setting.

Most of the recent studies have been carried out in in vitro systems. Nevertheless, there could be quite dramatic differences between the antigens or epitopes presented by a tumor in its natural host and the conditions of cell culture. To characterize the antigenic state of tumors in vivo, we have been studying solid tumors (RCC, CCA) ex vivo for their gene expression compared to regular tissues, and for their HLA peptide presentation.

Comparative gene expression profiling was carried out by high density oligonucleotide microarrays. To obtain homogenous tumor cell samples, either surgical procedures or laser capture microdissection were employed.

Identification of HLA-presented peptides was achieved either by the predict, calibrate, and detect approach with the help of synthetic peptides, or by MHC peptide repertoire (ligandome) analysis involving the characterization of as many peptides as possible. The HLA ligands were classified by the rate of overexpression and by the cancer-relatedness of their source proteins. Our studies allowed the preparation of individually tailored peptide vaccine cocktails for renal cell carcinoma patients.