TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma

Abstract We established a relationship among the immune-related genes, tumor-infiltrating immune cells (TIICs), and immune checkpoints in patients with osteosarcoma. The gene expression data for osteosarcoma were downloaded from UCSC Xena and GEO database. Immune-related differentially expressed gen...

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Autores principales: Tuo Liang, Jiarui Chen, GuoYong Xu, Zide Zhang, Jiang Xue, Haopeng Zeng, Jie Jiang, Tianyou Chen, Zhaojie Qin, Hao Li, Zhen Ye, Yunfeng Nie, Chong Liu, Xinli Zhan
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/74b81b7ffde34da5a4a3229f7e349bbd
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spelling oai:doaj.org-article:74b81b7ffde34da5a4a3229f7e349bbd2021-12-02T17:17:38ZTYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma10.1038/s41598-021-98637-x2045-2322https://doaj.org/article/74b81b7ffde34da5a4a3229f7e349bbd2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98637-xhttps://doaj.org/toc/2045-2322Abstract We established a relationship among the immune-related genes, tumor-infiltrating immune cells (TIICs), and immune checkpoints in patients with osteosarcoma. The gene expression data for osteosarcoma were downloaded from UCSC Xena and GEO database. Immune-related differentially expressed genes (DEGs) were detected to calculate the risk score. “Estimate” was used for immune infiltrating estimation and “xCell” was used to obtain 64 immune cell subtypes. Furthermore, the relationship among the risk scores, immune cell subtypes, and immune checkpoints was evaluated. The three immune-related genes (TYROBP, TLR4, and ITGAM) were selected to establish a risk scoring system based on their integrated prognostic relevance. The GSEA results for the Hallmark and KEGG pathways revealed that the low-risk score group exhibited the most gene sets that were related to immune-related pathways. The risk score significantly correlated with the xCell score of macrophages, M1 macrophages, and M2 macrophages, which significantly affected the prognosis of osteosarcoma. Thus, patients with low-risk scores showed better results with the immune checkpoints inhibitor therapy. A three immune-related, gene-based risk model can regulate macrophage activation and predict the treatment outcomes the survival rate in osteosarcoma.Tuo LiangJiarui ChenGuoYong XuZide ZhangJiang XueHaopeng ZengJie JiangTianyou ChenZhaojie QinHao LiZhen YeYunfeng NieChong LiuXinli ZhanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tuo Liang
Jiarui Chen
GuoYong Xu
Zide Zhang
Jiang Xue
Haopeng Zeng
Jie Jiang
Tianyou Chen
Zhaojie Qin
Hao Li
Zhen Ye
Yunfeng Nie
Chong Liu
Xinli Zhan
TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
description Abstract We established a relationship among the immune-related genes, tumor-infiltrating immune cells (TIICs), and immune checkpoints in patients with osteosarcoma. The gene expression data for osteosarcoma were downloaded from UCSC Xena and GEO database. Immune-related differentially expressed genes (DEGs) were detected to calculate the risk score. “Estimate” was used for immune infiltrating estimation and “xCell” was used to obtain 64 immune cell subtypes. Furthermore, the relationship among the risk scores, immune cell subtypes, and immune checkpoints was evaluated. The three immune-related genes (TYROBP, TLR4, and ITGAM) were selected to establish a risk scoring system based on their integrated prognostic relevance. The GSEA results for the Hallmark and KEGG pathways revealed that the low-risk score group exhibited the most gene sets that were related to immune-related pathways. The risk score significantly correlated with the xCell score of macrophages, M1 macrophages, and M2 macrophages, which significantly affected the prognosis of osteosarcoma. Thus, patients with low-risk scores showed better results with the immune checkpoints inhibitor therapy. A three immune-related, gene-based risk model can regulate macrophage activation and predict the treatment outcomes the survival rate in osteosarcoma.
format article
author Tuo Liang
Jiarui Chen
GuoYong Xu
Zide Zhang
Jiang Xue
Haopeng Zeng
Jie Jiang
Tianyou Chen
Zhaojie Qin
Hao Li
Zhen Ye
Yunfeng Nie
Chong Liu
Xinli Zhan
author_facet Tuo Liang
Jiarui Chen
GuoYong Xu
Zide Zhang
Jiang Xue
Haopeng Zeng
Jie Jiang
Tianyou Chen
Zhaojie Qin
Hao Li
Zhen Ye
Yunfeng Nie
Chong Liu
Xinli Zhan
author_sort Tuo Liang
title TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
title_short TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
title_full TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
title_fullStr TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
title_full_unstemmed TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma
title_sort tyrobp, tlr4 and itgam regulated macrophages polarization and immune checkpoints expression in osteosarcoma
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/74b81b7ffde34da5a4a3229f7e349bbd
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