Identification of immunogenic peptides of the self-tumor antigen: our experience with telomerase reverse

Xochitl Cortez-Gonzalez1, Maurizio Zanetti

  • 1The Laboratory of Immunology, Department of Medicine and Moores Cancer Center, University of California, San Diego, CA, USA.

The general approach, termed reverse immunology, to predict and identify immunogenic peptides from the sequence of a gene product of interest has been postulated to be a particularly efficient, high-throughput approach to discover tumor antigens. This laboratory has successfully identified immunogenic peptides of the human telomerase reverse transcriptase (hTERT), a self-tumor antigen, by using a multi-step approach. These steps include the following: the use of predictive bioinformatics algorithms, molecular methods to identify tumor-specific transcripts, prediction of proteasomal cleavage sites, peptide-binding prediction to HLA molecules and experimental validation, assessment of the in vitro and in vivo immunogenic potential of selected peptide antigens, isolation of specific cytolytic T lymphocyte clones, and final validation in functional assays of tumor cell recognition. This laboratory, and others have used similar methods to identify immunogenic peptides of self-tumor antigens, and many of those peptides are included in vaccines currently tested in clinical trials.

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