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2014 ; 2
(6
): 522-9
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HLA-binding properties of tumor neoepitopes in humans
#MMPMID24894089
Fritsch EF
; Rajasagi M
; Ott PA
; Brusic V
; Hacohen N
; Wu CJ
Cancer Immunol Res
2014[Jun]; 2
(6
): 522-9
PMID24894089
show ga
Cancer genome sequencing has enabled the rapid identification of the complete
repertoire of coding sequence mutations within a patient's tumor and facilitated
their use as personalized immunogens. Although a variety of techniques are
available to assist in the selection of mutation-defined epitopes to be included
within the tumor vaccine, the ability of the peptide to bind to patient MHC is a
key gateway to peptide presentation. With advances in the accuracy of predictive
algorithms for MHC class I binding, choosing epitopes on the basis of predicted
affinity provides a rapid and unbiased approach to epitope prioritization. We
show herein the retrospective application of a prediction algorithm to a large
set of bona fide T cell-defined mutated human tumor antigens that induced immune
responses, most of which were associated with tumor regression or long-term
disease stability. The results support the application of this approach for
epitope selection and reveal informative features of these naturally occurring
epitopes to aid in epitope prioritization for use in tumor vaccines.