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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...

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Autores principales: Sivanand, Arunima, Hennessey, Dylan, Iyer, Aishwarya, O’Keefe, Sandra, Surmanowicz, Philip, Vaid, Gauravi, Xiao, Zixuan, Gniadecki, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
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.
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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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