HLA-binding properties of tumor neoepitopes in humans
- PMID: 24894089
- PMCID: PMC4049249
- DOI: 10.1158/2326-6066.CIR-13-0227
HLA-binding properties of tumor neoepitopes in humans
Abstract
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.
©2014 American Association for Cancer Research.
Conflict of interest statement
No potential conflicts of interest were disclosed
Figures
Similar articles
-
Can we predict mutant neoepitopes in human cancers for patient-specific vaccine therapy?Cancer Immunol Res. 2014 Jun;2(6):518-21. doi: 10.1158/2326-6066.CIR-14-0041. Epub 2014 May 2. Cancer Immunol Res. 2014. PMID: 24795140 Free PMC article. Review. No abstract available.
-
HLA class I restricted epitopes prediction of common tumor antigens in white and East Asian populations: Implication on antigen selection for cancer vaccine design.PLoS One. 2020 Feb 27;15(2):e0229327. doi: 10.1371/journal.pone.0229327. eCollection 2020. PLoS One. 2020. PMID: 32106223 Free PMC article.
-
Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes.PLoS Comput Biol. 2018 Nov 8;14(11):e1006457. doi: 10.1371/journal.pcbi.1006457. eCollection 2018 Nov. PLoS Comput Biol. 2018. PMID: 30408041 Free PMC article.
-
Prediction of cancer neoepitopes needs new rules.Semin Immunol. 2020 Feb;47:101387. doi: 10.1016/j.smim.2020.101387. Epub 2020 Jan 14. Semin Immunol. 2020. PMID: 31952902 Review.
-
A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations.Front Immunol. 2018 Jan 30;9:99. doi: 10.3389/fimmu.2018.00099. eCollection 2018. Front Immunol. 2018. PMID: 29441070 Free PMC article.
Cited by
-
Navigating CAR-T cells through the solid-tumour microenvironment.Nat Rev Drug Discov. 2021 Jul;20(7):531-550. doi: 10.1038/s41573-021-00189-2. Epub 2021 May 10. Nat Rev Drug Discov. 2021. PMID: 33972771 Review.
-
Combination therapies utilizing neoepitope-targeted vaccines.Cancer Immunol Immunother. 2021 Apr;70(4):875-885. doi: 10.1007/s00262-020-02729-y. Epub 2020 Oct 8. Cancer Immunol Immunother. 2021. PMID: 33033852 Free PMC article. Review.
-
Sensitive Detection and Analysis of Neoantigen-Specific T Cell Populations from Tumors and Blood.Cell Rep. 2019 Sep 3;28(10):2728-2738.e7. doi: 10.1016/j.celrep.2019.07.106. Cell Rep. 2019. PMID: 31484081 Free PMC article.
-
Tumor neoantigens: from basic research to clinical applications.J Hematol Oncol. 2019 Sep 6;12(1):93. doi: 10.1186/s13045-019-0787-5. J Hematol Oncol. 2019. PMID: 31492199 Free PMC article. Review.
-
Mutation position is an important determinant for predicting cancer neoantigens.J Exp Med. 2020 Apr 6;217(4):e20190179. doi: 10.1084/jem.20190179. J Exp Med. 2020. PMID: 31940002 Free PMC article.
References
-
- Castle JC, Kreiter S, Diekmann J, Lower M, van der Roemer N, de Graaf J, et al. Exploiting the mutanome for tumor vaccination. Cancer Res. 2012;72:1081–1091. - PubMed
-
- Berd D, Murphy G, Maguire HC, Jr, Mastrangelo MJ. Immunization with haptenized, autologous tumor cells induces inflammation of human melanoma metastases. Cancer Res. 1991;51:2731–2734. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials