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The Neoantigen Landscape of Mycosis Fungoides
BACKGROUND: Mycosis fungoides (MF) is the most common cutaneous T-cell lymphoma, for which there is no cure. Immune checkpoint inhibitors have been tried in MF but the results have been inconsistent. To gain insight into the immunogenicity of MF we characterized the neoantigen landscape of this lymp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719792/ https://www.ncbi.nlm.nih.gov/pubmed/33329522 http://dx.doi.org/10.3389/fimmu.2020.561234 |
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author | Sivanand, Arunima Hennessey, Dylan Iyer, Aishwarya O’Keefe, Sandra Surmanowicz, Philip Vaid, Gauravi Xiao, Zixuan Gniadecki, Robert |
author_facet | Sivanand, Arunima Hennessey, Dylan Iyer, Aishwarya O’Keefe, Sandra Surmanowicz, Philip Vaid, Gauravi Xiao, Zixuan Gniadecki, Robert |
author_sort | Sivanand, Arunima |
collection | PubMed |
description | BACKGROUND: Mycosis fungoides (MF) is the most common cutaneous T-cell lymphoma, for which there is no cure. Immune checkpoint inhibitors have been tried in MF but the results have been inconsistent. To gain insight into the immunogenicity of MF we characterized the neoantigen landscape of this lymphoma, focusing on the known predictors of responses to immunotherapy: the quantity, HLA-binding strength and subclonality of neoantigens. METHODS: Whole exome and whole transcriptome sequences were obtained from 24 MF samples (16 plaques, 8 tumors) from 13 patients. Bioinformatic pipelines (Mutect2, OptiType, MuPeXi) were used for mutation calling, HLA typing, and neoantigen prediction. PhyloWGS was used to subdivide malignant cells into stem and clades, to which neoantigens were matched to determine their clonality. RESULTS: MF has a high mutational load (median 3,217 non synonymous mutations), resulting in a significant number of total neoantigens (median 1,309 per sample) and high-affinity neoantigens (median 328). In stage I disease most neoantigens were clonal but with stage progression, 75% of lesions had >50% subclonal antigens and 53% lesions had CSiN scores <1. There was very little overlap in neoantigens across patients or between different lesions on the same patient, indicating a high degree of heterogeneity. CONCLUSIONS: The neoantigen landscape of MF is characterized by high neoantigen load and significant subclonality which could indicate potential challenges for immunotherapy in patients with advanced-stage disease. |
format | Online Article Text |
id | pubmed-7719792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77197922020-12-15 The Neoantigen Landscape of Mycosis Fungoides Sivanand, Arunima Hennessey, Dylan Iyer, Aishwarya O’Keefe, Sandra Surmanowicz, Philip Vaid, Gauravi Xiao, Zixuan Gniadecki, Robert Front Immunol Immunology BACKGROUND: Mycosis fungoides (MF) is the most common cutaneous T-cell lymphoma, for which there is no cure. Immune checkpoint inhibitors have been tried in MF but the results have been inconsistent. To gain insight into the immunogenicity of MF we characterized the neoantigen landscape of this lymphoma, focusing on the known predictors of responses to immunotherapy: the quantity, HLA-binding strength and subclonality of neoantigens. METHODS: Whole exome and whole transcriptome sequences were obtained from 24 MF samples (16 plaques, 8 tumors) from 13 patients. Bioinformatic pipelines (Mutect2, OptiType, MuPeXi) were used for mutation calling, HLA typing, and neoantigen prediction. PhyloWGS was used to subdivide malignant cells into stem and clades, to which neoantigens were matched to determine their clonality. RESULTS: MF has a high mutational load (median 3,217 non synonymous mutations), resulting in a significant number of total neoantigens (median 1,309 per sample) and high-affinity neoantigens (median 328). In stage I disease most neoantigens were clonal but with stage progression, 75% of lesions had >50% subclonal antigens and 53% lesions had CSiN scores <1. There was very little overlap in neoantigens across patients or between different lesions on the same patient, indicating a high degree of heterogeneity. CONCLUSIONS: The neoantigen landscape of MF is characterized by high neoantigen load and significant subclonality which could indicate potential challenges for immunotherapy in patients with advanced-stage disease. Frontiers Media S.A. 2020-11-23 /pmc/articles/PMC7719792/ /pubmed/33329522 http://dx.doi.org/10.3389/fimmu.2020.561234 Text en Copyright © 2020 Sivanand, Hennessey, Iyer, O’Keefe, Surmanowicz, Vaid, Xiao and Gniadecki http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Sivanand, Arunima Hennessey, Dylan Iyer, Aishwarya O’Keefe, Sandra Surmanowicz, Philip Vaid, Gauravi Xiao, Zixuan Gniadecki, Robert The Neoantigen Landscape of Mycosis Fungoides |
title | The Neoantigen Landscape of Mycosis Fungoides |
title_full | The Neoantigen Landscape of Mycosis Fungoides |
title_fullStr | The Neoantigen Landscape of Mycosis Fungoides |
title_full_unstemmed | The Neoantigen Landscape of Mycosis Fungoides |
title_short | The Neoantigen Landscape of Mycosis Fungoides |
title_sort | neoantigen landscape of mycosis fungoides |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719792/ https://www.ncbi.nlm.nih.gov/pubmed/33329522 http://dx.doi.org/10.3389/fimmu.2020.561234 |
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