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Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment

BACKGROUND: Papillary thyroid cancer has been associated with chronic inflammation. A systematic understanding of immune cell infiltration in PTC is essential for subsequent immune research and new diagnostic and therapeutic strategies. METHODS: Three different algorithms, single-sample gene set enr...

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Autores principales: Xie, Zhenyu, Li, Xin, He, Yuzhen, Wu, Song, Wang, Shiyue, Sun, Jianjian, He, Yuchen, Lun, Yu, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642595/
https://www.ncbi.nlm.nih.gov/pubmed/33193087
http://dx.doi.org/10.3389/fendo.2020.570604
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author Xie, Zhenyu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Lun, Yu
Zhang, Jian
author_facet Xie, Zhenyu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Lun, Yu
Zhang, Jian
author_sort Xie, Zhenyu
collection PubMed
description BACKGROUND: Papillary thyroid cancer has been associated with chronic inflammation. A systematic understanding of immune cell infiltration in PTC is essential for subsequent immune research and new diagnostic and therapeutic strategies. METHODS: Three different algorithms, single-sample gene set enrichment analysis (ssGSEA), immune cell marker and CIBERSORT, were used to evaluate immune cell infiltration levels (abundance and proportion) in 10 data sets (The Cancer Genome Atlas [TCGA], GSE3467, GSE3678, GSE5364, GSE27155, GSE33630, GSE50901, GSE53157, GSE58545, and GSE60542; a total of 799 PTC and 194 normal thyroid samples). Consensus unsupervised clustering divided PTC patients into low-immunity and high-immunity groups. Weighted gene coexpression network analysis (WGCNA) and gene set enrichment analysis (GSEA) were used to analyze the potential mechanisms causing differences in the immune response. RESULTS: Compared with normal tissues, PTC tissues had a higher overall immune level and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, dendritic cells (DCs), mast cells (MCs), and M0 macrophages. Compared with early PTC, advanced PTC showed higher immune infiltration and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages. Compared to the low-immunity group, the high-immunity group exhibited more advanced stages, larger tumor sizes, greater lymph node metastases, higher tall-cell PTCs, lower follicular PTC proportions, more BRAF mutations, and fewer RAS mutations. Epstein-Barr virus (EBV) infection was the most significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for key module genes. CONCLUSIONS: In human PTC, M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages appear to play a tumor-promoting role, while M1 macrophages, CD8+ T cells, B cells, NK cells, and T follicular helper (T(FH)) cells (including eosinophils, γδ T cells, and Th17 cells with weak supporting evidence) appear to play an antitumor role. During the occurrence and development of PTC, the overall immune level was increased, and the abundance and proportion of tumor-promoting immune cells were significantly increased, indicating that immune escape had been aggravated. Finally, we speculate that EBV may play an important role in changing the immune microenvironment of PTC tumors.
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spelling pubmed-76425952020-11-13 Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment Xie, Zhenyu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Lun, Yu Zhang, Jian Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Papillary thyroid cancer has been associated with chronic inflammation. A systematic understanding of immune cell infiltration in PTC is essential for subsequent immune research and new diagnostic and therapeutic strategies. METHODS: Three different algorithms, single-sample gene set enrichment analysis (ssGSEA), immune cell marker and CIBERSORT, were used to evaluate immune cell infiltration levels (abundance and proportion) in 10 data sets (The Cancer Genome Atlas [TCGA], GSE3467, GSE3678, GSE5364, GSE27155, GSE33630, GSE50901, GSE53157, GSE58545, and GSE60542; a total of 799 PTC and 194 normal thyroid samples). Consensus unsupervised clustering divided PTC patients into low-immunity and high-immunity groups. Weighted gene coexpression network analysis (WGCNA) and gene set enrichment analysis (GSEA) were used to analyze the potential mechanisms causing differences in the immune response. RESULTS: Compared with normal tissues, PTC tissues had a higher overall immune level and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, dendritic cells (DCs), mast cells (MCs), and M0 macrophages. Compared with early PTC, advanced PTC showed higher immune infiltration and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages. Compared to the low-immunity group, the high-immunity group exhibited more advanced stages, larger tumor sizes, greater lymph node metastases, higher tall-cell PTCs, lower follicular PTC proportions, more BRAF mutations, and fewer RAS mutations. Epstein-Barr virus (EBV) infection was the most significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for key module genes. CONCLUSIONS: In human PTC, M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages appear to play a tumor-promoting role, while M1 macrophages, CD8+ T cells, B cells, NK cells, and T follicular helper (T(FH)) cells (including eosinophils, γδ T cells, and Th17 cells with weak supporting evidence) appear to play an antitumor role. During the occurrence and development of PTC, the overall immune level was increased, and the abundance and proportion of tumor-promoting immune cells were significantly increased, indicating that immune escape had been aggravated. Finally, we speculate that EBV may play an important role in changing the immune microenvironment of PTC tumors. Frontiers Media S.A. 2020-10-22 /pmc/articles/PMC7642595/ /pubmed/33193087 http://dx.doi.org/10.3389/fendo.2020.570604 Text en Copyright © 2020 Xie, Li, He, Wu, Wang, Sun, He, Lun and Zhang 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 Endocrinology
Xie, Zhenyu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Lun, Yu
Zhang, Jian
Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title_full Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title_fullStr Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title_full_unstemmed Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title_short Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment
title_sort immune cell confrontation in the papillary thyroid carcinoma microenvironment
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642595/
https://www.ncbi.nlm.nih.gov/pubmed/33193087
http://dx.doi.org/10.3389/fendo.2020.570604
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