Cargando…
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....
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783650693103484928 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7880383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenhongmin comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT songyijiang comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT dengchuangzhong comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT xuyanyang comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT xuhuaiyuan comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT zhuxiaojun comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT songguohui comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT tangqinglian comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT lujinchang comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas AT wangjin comprehensiveanalysisofimmuneinfiltrationandgeneexpressionforpredictingsurvivalinpatientswithsarcomas |