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Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome

The self-immunopeptidome is the repertoire of all self-peptides that can be presented by the combination of MHC variants carried by an individual, defined by their HLA genotype. Each MHC variant presents a distinct set of self-peptides, and the number of peptides in a set is variable. Subjects carry...

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Autores principales: Brown, Scott D., Holt, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350689/
https://www.ncbi.nlm.nih.gov/pubmed/30723589
http://dx.doi.org/10.1080/2162402X.2018.1556080
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author Brown, Scott D.
Holt, Robert A.
author_facet Brown, Scott D.
Holt, Robert A.
author_sort Brown, Scott D.
collection PubMed
description The self-immunopeptidome is the repertoire of all self-peptides that can be presented by the combination of MHC variants carried by an individual, defined by their HLA genotype. Each MHC variant presents a distinct set of self-peptides, and the number of peptides in a set is variable. Subjects carrying MHC variants that present fewer self-peptides should also present fewer mutated peptides, resulting in decreased immune pressure on tumor cells. To explore this, we predicted peptide-MHC binding values using all unique 8-11mer human peptides in the human proteome and all available HLA class I allelic variants, for a total of 134 billion unique peptide--MHC binding predictions. From these predictions, we observe that most peptides are able to be presented by relatively few (< 250) MHC, while some can be presented by upwards of 1,500 different MHC. There is substantial overlap among the repertoires of peptides presented by different MHC and no relationship between the number of peptides presented and HLA population frequency. Nearly 30% of self-peptides are presentable by at least one MHC, leaving 70% of the human peptidome unsurveyed by T cells. We observed similar distributions of predicted self-immunopeptidome sizes in cancer subjects compared to controls, and within the pan-cancer population, predicted self-immunopeptidome size combined with mutational load to predict survival. Self-immunopeptidome analysis revealed evidence for tumor immunoediting and identified specific peptide positions that most influence immunogenicity. Because self-immunopeptidome size is defined by HLA genotypes and approximates neoantigen load, HLA genotyping could offer a rapid predictive biomarker for response to immunotherapy.
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spelling pubmed-63506892019-02-05 Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome Brown, Scott D. Holt, Robert A. Oncoimmunology Original Research The self-immunopeptidome is the repertoire of all self-peptides that can be presented by the combination of MHC variants carried by an individual, defined by their HLA genotype. Each MHC variant presents a distinct set of self-peptides, and the number of peptides in a set is variable. Subjects carrying MHC variants that present fewer self-peptides should also present fewer mutated peptides, resulting in decreased immune pressure on tumor cells. To explore this, we predicted peptide-MHC binding values using all unique 8-11mer human peptides in the human proteome and all available HLA class I allelic variants, for a total of 134 billion unique peptide--MHC binding predictions. From these predictions, we observe that most peptides are able to be presented by relatively few (< 250) MHC, while some can be presented by upwards of 1,500 different MHC. There is substantial overlap among the repertoires of peptides presented by different MHC and no relationship between the number of peptides presented and HLA population frequency. Nearly 30% of self-peptides are presentable by at least one MHC, leaving 70% of the human peptidome unsurveyed by T cells. We observed similar distributions of predicted self-immunopeptidome sizes in cancer subjects compared to controls, and within the pan-cancer population, predicted self-immunopeptidome size combined with mutational load to predict survival. Self-immunopeptidome analysis revealed evidence for tumor immunoediting and identified specific peptide positions that most influence immunogenicity. Because self-immunopeptidome size is defined by HLA genotypes and approximates neoantigen load, HLA genotyping could offer a rapid predictive biomarker for response to immunotherapy. Taylor & Francis 2018-12-22 /pmc/articles/PMC6350689/ /pubmed/30723589 http://dx.doi.org/10.1080/2162402X.2018.1556080 Text en © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Original Research
Brown, Scott D.
Holt, Robert A.
Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title_full Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title_fullStr Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title_full_unstemmed Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title_short Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
title_sort neoantigen characteristics in the context of the complete predicted mhc class i self-immunopeptidome
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350689/
https://www.ncbi.nlm.nih.gov/pubmed/30723589
http://dx.doi.org/10.1080/2162402X.2018.1556080
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