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Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas

Tumor microenvironments are strongly related to tumor development, and immune-infiltrating cells and immune-related molecules are potential prognostic markers. However, the shortcomings of traditional measurement methods limit the accurate evaluation of various components in tumor microenvironments....

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Autores principales: Chen, Hongmin, Song, Yijiang, Deng, Chuangzhong, Xu, Yanyang, Xu, Huaiyuan, Zhu, Xiaojun, Song, Guohui, Tang, Qinglian, Lu, Jinchang, Wang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880383/
https://www.ncbi.nlm.nih.gov/pubmed/33316779
http://dx.doi.org/10.18632/aging.202229
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author Chen, Hongmin
Song, Yijiang
Deng, Chuangzhong
Xu, Yanyang
Xu, Huaiyuan
Zhu, Xiaojun
Song, Guohui
Tang, Qinglian
Lu, Jinchang
Wang, Jin
author_facet Chen, Hongmin
Song, Yijiang
Deng, Chuangzhong
Xu, Yanyang
Xu, Huaiyuan
Zhu, Xiaojun
Song, Guohui
Tang, Qinglian
Lu, Jinchang
Wang, Jin
author_sort Chen, Hongmin
collection PubMed
description Tumor microenvironments are strongly related to tumor development, and immune-infiltrating cells and immune-related molecules are potential prognostic markers. However, the shortcomings of traditional measurement methods limit the accurate evaluation of various components in tumor microenvironments. With the rapid advancement of Next-Generation RNA Sequencing technology, dedicated and in-depth analyses of immune filtration within the tumor microenvironment has been achieved. In this study, we combined the bioinformatics analysis methods ESTIMATE, CIBERSORT, and ssGSEA to characterize the immune infiltration of sarcomas and to identify specific immunomodulators of different pathological subtypes. We further extracted a functional enrichment of significant immune-related genes related to improved prognosis, including NR1H3, VAMP5, GIMAP2, GBP2, HLA-E and CRIP1. Overall, the immune microenvironment is an important prognostic determinant of sarcomas and may be a potential resource for developing effective immunotherapy.
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spelling pubmed-78803832021-02-22 Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas Chen, Hongmin Song, Yijiang Deng, Chuangzhong Xu, Yanyang Xu, Huaiyuan Zhu, Xiaojun Song, Guohui Tang, Qinglian Lu, Jinchang Wang, Jin Aging (Albany NY) Research Paper Tumor microenvironments are strongly related to tumor development, and immune-infiltrating cells and immune-related molecules are potential prognostic markers. However, the shortcomings of traditional measurement methods limit the accurate evaluation of various components in tumor microenvironments. With the rapid advancement of Next-Generation RNA Sequencing technology, dedicated and in-depth analyses of immune filtration within the tumor microenvironment has been achieved. In this study, we combined the bioinformatics analysis methods ESTIMATE, CIBERSORT, and ssGSEA to characterize the immune infiltration of sarcomas and to identify specific immunomodulators of different pathological subtypes. We further extracted a functional enrichment of significant immune-related genes related to improved prognosis, including NR1H3, VAMP5, GIMAP2, GBP2, HLA-E and CRIP1. Overall, the immune microenvironment is an important prognostic determinant of sarcomas and may be a potential resource for developing effective immunotherapy. Impact Journals 2020-12-09 /pmc/articles/PMC7880383/ /pubmed/33316779 http://dx.doi.org/10.18632/aging.202229 Text en Copyright: © 2021 Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Chen, Hongmin
Song, Yijiang
Deng, Chuangzhong
Xu, Yanyang
Xu, Huaiyuan
Zhu, Xiaojun
Song, Guohui
Tang, Qinglian
Lu, Jinchang
Wang, Jin
Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title_full Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title_fullStr Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title_full_unstemmed Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title_short Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
title_sort comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880383/
https://www.ncbi.nlm.nih.gov/pubmed/33316779
http://dx.doi.org/10.18632/aging.202229
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