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Quantifying immune-based counterselection of somatic mutations

Authors :
Hidewaki Nakagawa
Frederick P. Roth
Dae-Kyum Kim
Shuto Hayashi
Lincoln D. Stein
Fan Yang
Seiya Imoto
Source :
PLoS Genetics, Vol 15, Iss 7, p e1008227 (2019), PLoS Genetics
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

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.<br />Author summary Cancer immunotherapy and personalized cancer vaccines depend on clearance of cancer and pre-cancer cells by the immune system. However, little is known about the strength of this phenomenon as it acts on the cell populations which give rise to tumors. Here we provide an initial quantitative estimate of the fraction of neo-antigen-containing cells in this population that are cleared by the MHC class I-dependent immune system. The impacts of both neo-antigenic gene expression and the number of neo-antigen-displaying MHC alleles on this clearance phenomenon were examined. A more complete understanding of immune clearance of neoantigenic cells and how this phenomenon varies between patients and cancers, has the potential to guide immunotherapy and cancer vaccines.

Details

Language :
English
ISSN :
15537404 and 15537390
Volume :
15
Issue :
7
Database :
OpenAIRE
Journal :
PLoS Genetics
Accession number :
edsair.doi.dedup.....4469f0a7690dfc785f0beb4f6dc4cdfe