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Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity
The mutational repertoire of cancers creates the neoepitopes that make cancers immunogenic. Here, we introduce two novel tools that identify, with relatively high accuracy, the small proportion of neoepitopes (among the hundreds of potential neoepitopes) that protect the host through an antitumor T...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Rockefeller University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203949/ https://www.ncbi.nlm.nih.gov/pubmed/25245761 http://dx.doi.org/10.1084/jem.20141308 |
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author | Duan, Fei Duitama, Jorge Al Seesi, Sahar Ayres, Cory M. Corcelli, Steven A. Pawashe, Arpita P. Blanchard, Tatiana McMahon, David Sidney, John Sette, Alessandro Baker, Brian M. Mandoiu, Ion I. Srivastava, Pramod K. |
author_facet | Duan, Fei Duitama, Jorge Al Seesi, Sahar Ayres, Cory M. Corcelli, Steven A. Pawashe, Arpita P. Blanchard, Tatiana McMahon, David Sidney, John Sette, Alessandro Baker, Brian M. Mandoiu, Ion I. Srivastava, Pramod K. |
author_sort | Duan, Fei |
collection | PubMed |
description | The mutational repertoire of cancers creates the neoepitopes that make cancers immunogenic. Here, we introduce two novel tools that identify, with relatively high accuracy, the small proportion of neoepitopes (among the hundreds of potential neoepitopes) that protect the host through an antitumor T cell response. The two tools consist of (a) the numerical difference in NetMHC scores between the mutated sequences and their unmutated counterparts, termed the differential agretopic index, and (b) the conformational stability of the MHC I–peptide interaction. Mechanistically, these tools identify neoepitopes that are mutated to create new anchor residues for MHC binding, and render the overall peptide more rigid. Surprisingly, the protective neoepitopes identified here elicit CD8-dependent immunity, even though their affinity for K(d) is orders of magnitude lower than the 500-nM threshold considered reasonable for such interactions. These results greatly expand the universe of target cancer antigens and identify new tools for human cancer immunotherapy. |
format | Online Article Text |
id | pubmed-4203949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42039492015-04-20 Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity Duan, Fei Duitama, Jorge Al Seesi, Sahar Ayres, Cory M. Corcelli, Steven A. Pawashe, Arpita P. Blanchard, Tatiana McMahon, David Sidney, John Sette, Alessandro Baker, Brian M. Mandoiu, Ion I. Srivastava, Pramod K. J Exp Med Article The mutational repertoire of cancers creates the neoepitopes that make cancers immunogenic. Here, we introduce two novel tools that identify, with relatively high accuracy, the small proportion of neoepitopes (among the hundreds of potential neoepitopes) that protect the host through an antitumor T cell response. The two tools consist of (a) the numerical difference in NetMHC scores between the mutated sequences and their unmutated counterparts, termed the differential agretopic index, and (b) the conformational stability of the MHC I–peptide interaction. Mechanistically, these tools identify neoepitopes that are mutated to create new anchor residues for MHC binding, and render the overall peptide more rigid. Surprisingly, the protective neoepitopes identified here elicit CD8-dependent immunity, even though their affinity for K(d) is orders of magnitude lower than the 500-nM threshold considered reasonable for such interactions. These results greatly expand the universe of target cancer antigens and identify new tools for human cancer immunotherapy. The Rockefeller University Press 2014-10-20 /pmc/articles/PMC4203949/ /pubmed/25245761 http://dx.doi.org/10.1084/jem.20141308 Text en © 2014 Duan et al. This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Article Duan, Fei Duitama, Jorge Al Seesi, Sahar Ayres, Cory M. Corcelli, Steven A. Pawashe, Arpita P. Blanchard, Tatiana McMahon, David Sidney, John Sette, Alessandro Baker, Brian M. Mandoiu, Ion I. Srivastava, Pramod K. Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title | Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title_full | Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title_fullStr | Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title_full_unstemmed | Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title_short | Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
title_sort | genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203949/ https://www.ncbi.nlm.nih.gov/pubmed/25245761 http://dx.doi.org/10.1084/jem.20141308 |
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