An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes.
An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes.
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DOI:
10.3389/fimmu.2017.01566
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发表时间:
2017
影响因子:
7.3
通讯作者:
Eklund AC
中科院分区:
文献类型:
--
作者:
Bjerregaard AM;Nielsen M;Jurtz V;Barra CM;Hadrup SR;Szallasi Z;Eklund AC
Personalization of cancer immunotherapies such as therapeutic vaccines and adoptive T-cell therapy may benefit from efficient identification and targeting of patient-specific neoepitopes. However, current neoepitope prediction methods based on sequencing and predictions of epitope processing and presentation result in a low rate of validation, suggesting that the determinants of peptide immunogenicity are not well understood. We gathered published data on human neopeptides originating from single amino acid substitutions for which T cell reactivity had been experimentally tested, including both immunogenic and non-immunogenic neopeptides. Out of 1,948 neopeptide-HLA (human leukocyte antigen) combinations from 13 publications, 53 were reported to elicit a T cell response. From these data, we found an enrichment for responses among peptides of length 9. Even though the peptides had been pre-selected based on presumed likelihood of being immunogenic, we found using NetMHCpan-4.0 that immunogenic neopeptides were predicted to bind significantly more strongly to HLA compared to non-immunogenic peptides. Investigation of the HLA binding strength of the immunogenic peptides revealed that the vast majority (96%) shared very strong predicted binding to HLA and that the binding strength was comparable to that observed for pathogen-derived epitopes. Finally, we found that neopeptide dissimilarity to self is a predictor of immunogenicity in situations where neo- and normal peptides share comparable predicted binding strength. In conclusion, these results suggest new strategies for prioritization of mutated peptides, but new data will be needed to confirm their value.
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影响因子:
12.3
作者:
Nielsen M;Andreatta M
通讯作者:
Andreatta M
DOI:
10.4049/jimmunol.1700893
发表时间:
2017-11-01
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Jurtz V;Paul S;Andreatta M;Marcatili P;Peters B;Nielsen M
通讯作者:
Nielsen M
影响因子:
10.1
作者:
Fritsch EF;Rajasagi M;Ott PA;Brusic V;Hacohen N;Wu CJ
通讯作者:
Wu CJ
影响因子:
32.4
作者:
Abelin JG;Keskin DB;Sarkizova S;Hartigan CR;Zhang W;Sidney J;Stevens J;Lane W;Zhang GL;Eisenhaure TM;Clauser KR;Hacohen N;Rooney MS;Carr SA;Wu CJ
通讯作者:
Wu CJ
影响因子:
56.9
作者:
Stronen, Erlend;Toebes, Mireille;Schumacher, Ton N.
通讯作者:
Schumacher, Ton N.