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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Rockefeller University Press 2014
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.
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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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