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Quantifying immune-based counterselection of somatic mutations

Somatic mutations in protein-coding regions can generate ‘neoantigens’ causing developing cancers to be eliminated by the immune system. Quantitative estimates of the strength of this counterselection phenomenon have been lacking. We quantified the extent to which somatic mutations are depleted in p...

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Detalles Bibliográficos
Autores principales: Yang, Fan, Kim, Dae-Kyum, Nakagawa, Hidewaki, Hayashi, Shuto, Imoto, Seiya, Stein, Lincoln, Roth, Frederick P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657826/
https://www.ncbi.nlm.nih.gov/pubmed/31344031
http://dx.doi.org/10.1371/journal.pgen.1008227
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author Yang, Fan
Kim, Dae-Kyum
Nakagawa, Hidewaki
Hayashi, Shuto
Imoto, Seiya
Stein, Lincoln
Roth, Frederick P.
author_facet Yang, Fan
Kim, Dae-Kyum
Nakagawa, Hidewaki
Hayashi, Shuto
Imoto, Seiya
Stein, Lincoln
Roth, Frederick P.
author_sort Yang, Fan
collection PubMed
description Somatic mutations in protein-coding regions can generate ‘neoantigens’ causing developing cancers to be eliminated by the immune system. Quantitative estimates of the strength of this counterselection phenomenon have been lacking. We quantified the extent to which somatic mutations are depleted in peptides that are predicted to be displayed by major histocompatibility complex (MHC) class I proteins. The extent of this depletion depended on expression level of the neoantigenic gene, and on whether the patient had one or two MHC-encoding alleles that can display the peptide, suggesting MHC-encoding alleles are incompletely dominant. This study provides an initial quantitative understanding of counter-selection of identifiable subclasses of neoantigenic somatic variation.
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spelling pubmed-66578262019-08-07 Quantifying immune-based counterselection of somatic mutations Yang, Fan Kim, Dae-Kyum Nakagawa, Hidewaki Hayashi, Shuto Imoto, Seiya Stein, Lincoln Roth, Frederick P. PLoS Genet Research Article Somatic mutations in protein-coding regions can generate ‘neoantigens’ causing developing cancers to be eliminated by the immune system. Quantitative estimates of the strength of this counterselection phenomenon have been lacking. We quantified the extent to which somatic mutations are depleted in peptides that are predicted to be displayed by major histocompatibility complex (MHC) class I proteins. The extent of this depletion depended on expression level of the neoantigenic gene, and on whether the patient had one or two MHC-encoding alleles that can display the peptide, suggesting MHC-encoding alleles are incompletely dominant. This study provides an initial quantitative understanding of counter-selection of identifiable subclasses of neoantigenic somatic variation. Public Library of Science 2019-07-25 /pmc/articles/PMC6657826/ /pubmed/31344031 http://dx.doi.org/10.1371/journal.pgen.1008227 Text en © 2019 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Fan
Kim, Dae-Kyum
Nakagawa, Hidewaki
Hayashi, Shuto
Imoto, Seiya
Stein, Lincoln
Roth, Frederick P.
Quantifying immune-based counterselection of somatic mutations
title Quantifying immune-based counterselection of somatic mutations
title_full Quantifying immune-based counterselection of somatic mutations
title_fullStr Quantifying immune-based counterselection of somatic mutations
title_full_unstemmed Quantifying immune-based counterselection of somatic mutations
title_short Quantifying immune-based counterselection of somatic mutations
title_sort quantifying immune-based counterselection of somatic mutations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657826/
https://www.ncbi.nlm.nih.gov/pubmed/31344031
http://dx.doi.org/10.1371/journal.pgen.1008227
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