High-Throughput Stability Screening of Neoantigen/HLA Complexes Improves Immunogenicity Predictions

Mutated peptides (neoantigens) from a patient's cancer genome can serve as targets for T-cell immunity, but identifying which peptides can be presented by an MHC molecule and elicit T cells has been difficult. Although algorithms that predict MHC binding exist, they are not yet able to distingu...

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Veröffentlicht in:Cancer immunology research 2019-01, Vol.7 (1), p.50-61
Hauptverfasser: Blaha, Dylan T, Anderson, Scott D, Yoakum, Daniel M, Hager, Marlies V, Zha, Yuanyuan, Gajewski, Thomas F, Kranz, David M
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Sprache:eng
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Zusammenfassung:Mutated peptides (neoantigens) from a patient's cancer genome can serve as targets for T-cell immunity, but identifying which peptides can be presented by an MHC molecule and elicit T cells has been difficult. Although algorithms that predict MHC binding exist, they are not yet able to distinguish experimental differences in half-lives of the complexes (an immunologically relevant parameter, referred to here as kinetic stability). Improvement in determining actual neoantigen peptide/MHC stability could be important, as only a small fraction of peptides in most current vaccines are capable of eliciting CD8 T-cell responses. Here, we used a rapid, high-throughput method to experimentally determine peptide/HLA thermal stability on a scale that will be necessary for analysis of neoantigens from thousands of patients. The method combined the use of UV-cleavable peptide/HLA class I complexes and differential scanning fluorimetry to determine the T values of neoantigen complexes. Measured T values were accurate and reproducible and were directly proportional to the half-lives of the complexes. Analysis of known HLA-A2-restricted immunogenic peptides showed that T values better correlated with immunogenicity than algorithm-predicted binding affinities. We propose that temperature stability information can be used as a guide for the selection of neoantigens in cancer vaccines in order to focus attention on those mutated peptides with the highest probability of being expressed on the cell surface.
ISSN:2326-6066
2326-6074
DOI:10.1158/2326-6066.cir-18-0395