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. 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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
Aging - 13(2020), 2 vom: 09. Dez., Seite 2168-2183 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Hongmin [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 10.05.2021 Date Revised 13.12.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.18632/aging.202229 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM318820064 |
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| 100 | 1 | |a Chen, Hongmin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas |
| 264 | 1 | |c 2020 | |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 7 | |a LIM Domain Proteins |2 NLM | |
| 650 | 7 | |a Liver X Receptors |2 NLM | |
| 650 | 7 | |a Membrane Proteins |2 NLM | |
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| 650 | 7 | |a GBP2 protein, human |2 NLM | |
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| 700 | 1 | |a Song, Yijiang |e verfasserin |4 aut | |
| 700 | 1 | |a Deng, Chuangzhong |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Yanyang |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Huaiyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Xiaojun |e verfasserin |4 aut | |
| 700 | 1 | |a Song, Guohui |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Qinglian |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Jinchang |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jin |e verfasserin |4 aut | |
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