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A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling
Foxp3(+) regulatory T cells (Treg) play an important part in the glioma immunosuppressive microenvironment. This study analyzed the effect of Foxsp3 on the immune microenvironment and constructed a Foxp3-related immune prognostic signature (IPS)for predicting prognosis in glioblastoma multiforme (GB...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906197/ https://www.ncbi.nlm.nih.gov/pubmed/33429364 http://dx.doi.org/10.18632/aging.202282 |
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author | Guo, Xiao-Yu Zhang, Guan-Hua Wang, Zhen-Ning Duan, Hao Xie, Tian Liang, Lun Cui, Rui Hu, Hong-Rong Wu, Yi Dong, Jia-jun He, Zhen-Qiang Mou, Yong-Gao |
author_facet | Guo, Xiao-Yu Zhang, Guan-Hua Wang, Zhen-Ning Duan, Hao Xie, Tian Liang, Lun Cui, Rui Hu, Hong-Rong Wu, Yi Dong, Jia-jun He, Zhen-Qiang Mou, Yong-Gao |
author_sort | Guo, Xiao-Yu |
collection | PubMed |
description | Foxp3(+) regulatory T cells (Treg) play an important part in the glioma immunosuppressive microenvironment. This study analyzed the effect of Foxsp3 on the immune microenvironment and constructed a Foxp3-related immune prognostic signature (IPS)for predicting prognosis in glioblastoma multiforme (GBM). Immunohistochemistry (IHC) staining for Foxp3 was performed in 72 high-grade glioma specimens. RNA-seq data from 152 GBM samples were obtained from The Cancer Genome Atlas database (TCGA) and divided into two groups, Foxp3 High (Foxp3_H) and Foxp3 Low (Foxp3_L), based on Foxp3 expression. We systematically analyzed the influence of Foxp3 on the immune microenvironment. Least Absolute Shrinkage and Selection Operator (LASSO) Cox analysis was conducted for immune-related genes that were differentially expressed between Foxp3_H and Foxp3_L GBM patients. We found a differential expression of Foxp3 in high-grade glioma tissues. The presence of Foxp3 was significantly associated with poor OS. From the four-gene IPS developed, GBM patients were stratified into low-risk and high-risk groups in both the training set and validation sets. Furthermore, we developed a novel nomogram to evaluate the overall survival in GBM patients. This study offers innovative insights into the GBM immune microenvironment and these findings contribute to individualized treatment and improvement in the prognosis for GBM patients. |
format | Online Article Text |
id | pubmed-7906197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-79061972021-03-04 A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling Guo, Xiao-Yu Zhang, Guan-Hua Wang, Zhen-Ning Duan, Hao Xie, Tian Liang, Lun Cui, Rui Hu, Hong-Rong Wu, Yi Dong, Jia-jun He, Zhen-Qiang Mou, Yong-Gao Aging (Albany NY) Research Paper Foxp3(+) regulatory T cells (Treg) play an important part in the glioma immunosuppressive microenvironment. This study analyzed the effect of Foxsp3 on the immune microenvironment and constructed a Foxp3-related immune prognostic signature (IPS)for predicting prognosis in glioblastoma multiforme (GBM). Immunohistochemistry (IHC) staining for Foxp3 was performed in 72 high-grade glioma specimens. RNA-seq data from 152 GBM samples were obtained from The Cancer Genome Atlas database (TCGA) and divided into two groups, Foxp3 High (Foxp3_H) and Foxp3 Low (Foxp3_L), based on Foxp3 expression. We systematically analyzed the influence of Foxp3 on the immune microenvironment. Least Absolute Shrinkage and Selection Operator (LASSO) Cox analysis was conducted for immune-related genes that were differentially expressed between Foxp3_H and Foxp3_L GBM patients. We found a differential expression of Foxp3 in high-grade glioma tissues. The presence of Foxp3 was significantly associated with poor OS. From the four-gene IPS developed, GBM patients were stratified into low-risk and high-risk groups in both the training set and validation sets. Furthermore, we developed a novel nomogram to evaluate the overall survival in GBM patients. This study offers innovative insights into the GBM immune microenvironment and these findings contribute to individualized treatment and improvement in the prognosis for GBM patients. Impact Journals 2021-01-10 /pmc/articles/PMC7906197/ /pubmed/33429364 http://dx.doi.org/10.18632/aging.202282 Text en Copyright: © 2021 Guo 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 Guo, Xiao-Yu Zhang, Guan-Hua Wang, Zhen-Ning Duan, Hao Xie, Tian Liang, Lun Cui, Rui Hu, Hong-Rong Wu, Yi Dong, Jia-jun He, Zhen-Qiang Mou, Yong-Gao A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title | A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title_full | A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title_fullStr | A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title_full_unstemmed | A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title_short | A novel Foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
title_sort | novel foxp3-related immune prognostic signature for glioblastoma multiforme based on immunogenomic profiling |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906197/ https://www.ncbi.nlm.nih.gov/pubmed/33429364 http://dx.doi.org/10.18632/aging.202282 |
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