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IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas()
Ferroptosis is a new type of programmed cell death that has excellent anti-tumor potential in different tumors. However, the research on ferroptosis in glioma is still incomplete. In this study, we aimed to revealed the relationship between ferroptosis-related genes (FRGs) and glioma. We collected g...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508157/ https://www.ncbi.nlm.nih.gov/pubmed/36156371 http://dx.doi.org/10.1016/j.tranon.2022.101544 |
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author | Tong, Shiao Ye, Liguo Xu, Yang Sun, Qian Gao, Lun Cai, Jiayang Ye, Zhang Tian, Daofeng Chen, Qianxue |
author_facet | Tong, Shiao Ye, Liguo Xu, Yang Sun, Qian Gao, Lun Cai, Jiayang Ye, Zhang Tian, Daofeng Chen, Qianxue |
author_sort | Tong, Shiao |
collection | PubMed |
description | Ferroptosis is a new type of programmed cell death that has excellent anti-tumor potential in different tumors. However, the research on ferroptosis in glioma is still incomplete. In this study, we aimed to revealed the relationship between ferroptosis-related genes (FRGs) and glioma. We collected gene expression profiles of glioma patients from the TCGA and CGGA databases. All glioma samples were classified into five subtypes using the R software ConsensusClusterPlus. Subsequently, we performed single sample gene set enrichment analysis (ssGSEA) to explore the correlation between different subtypes and immune status and ferroptosis. Then co-expression modules were constructed via weighted gene co-expression network analysis (WGCNA). A Gene Ontology (GO) analysis was conducted to analyze the potential biological functions of the genes in the modules. Finally, we identified 10 hub genes using the PPI network. The in vitro experiments were used to validate our predictions. We found that the expression level of IRF2 is positively correlated with the grade of glioma. The overexpression of IRF2 could protect glioma cells from ferroptosis and enhance the invasive and migratory abilities. Silence of IRF2 had the opposite effect. In conclusion, we demonstrated a novel ferroptosis-related signature for predicting prognosis, and IRF2 could be a potential biomarker for diagnosis and treatment in glioma. |
format | Online Article Text |
id | pubmed-9508157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95081572022-09-30 IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() Tong, Shiao Ye, Liguo Xu, Yang Sun, Qian Gao, Lun Cai, Jiayang Ye, Zhang Tian, Daofeng Chen, Qianxue Transl Oncol Original Research Ferroptosis is a new type of programmed cell death that has excellent anti-tumor potential in different tumors. However, the research on ferroptosis in glioma is still incomplete. In this study, we aimed to revealed the relationship between ferroptosis-related genes (FRGs) and glioma. We collected gene expression profiles of glioma patients from the TCGA and CGGA databases. All glioma samples were classified into five subtypes using the R software ConsensusClusterPlus. Subsequently, we performed single sample gene set enrichment analysis (ssGSEA) to explore the correlation between different subtypes and immune status and ferroptosis. Then co-expression modules were constructed via weighted gene co-expression network analysis (WGCNA). A Gene Ontology (GO) analysis was conducted to analyze the potential biological functions of the genes in the modules. Finally, we identified 10 hub genes using the PPI network. The in vitro experiments were used to validate our predictions. We found that the expression level of IRF2 is positively correlated with the grade of glioma. The overexpression of IRF2 could protect glioma cells from ferroptosis and enhance the invasive and migratory abilities. Silence of IRF2 had the opposite effect. In conclusion, we demonstrated a novel ferroptosis-related signature for predicting prognosis, and IRF2 could be a potential biomarker for diagnosis and treatment in glioma. Neoplasia Press 2022-09-22 /pmc/articles/PMC9508157/ /pubmed/36156371 http://dx.doi.org/10.1016/j.tranon.2022.101544 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Tong, Shiao Ye, Liguo Xu, Yang Sun, Qian Gao, Lun Cai, Jiayang Ye, Zhang Tian, Daofeng Chen, Qianxue IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title | IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title_full | IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title_fullStr | IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title_full_unstemmed | IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title_short | IRF2-ferroptosis related gene is associated with prognosis and EMT in gliomas() |
title_sort | irf2-ferroptosis related gene is associated with prognosis and emt in gliomas() |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508157/ https://www.ncbi.nlm.nih.gov/pubmed/36156371 http://dx.doi.org/10.1016/j.tranon.2022.101544 |
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