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Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma

Members of the interferon regulatory factor (IRF) gene family are crucial regulators of type I interferon signaling, which may play a role in the resistance of glioma to immune checkpoint blockade. However, the expression profiles, potential functions, and clinical significance of IRF family members...

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Autores principales: Lei, Jin, Zhou, Ming-Hui, Zhang, Fu-Chi, Wu, Kang, Liu, Sheng-Wen, Niu, Hong-Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109055/
https://www.ncbi.nlm.nih.gov/pubmed/33902005
http://dx.doi.org/10.18632/aging.202915
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author Lei, Jin
Zhou, Ming-Hui
Zhang, Fu-Chi
Wu, Kang
Liu, Sheng-Wen
Niu, Hong-Quan
author_facet Lei, Jin
Zhou, Ming-Hui
Zhang, Fu-Chi
Wu, Kang
Liu, Sheng-Wen
Niu, Hong-Quan
author_sort Lei, Jin
collection PubMed
description Members of the interferon regulatory factor (IRF) gene family are crucial regulators of type I interferon signaling, which may play a role in the resistance of glioma to immune checkpoint blockade. However, the expression profiles, potential functions, and clinical significance of IRF family members remain largely unknown. Here, we examined IRF transcript levels and clinicopathological data from glioma patients using several bioinformatic databases, including ONCOMINE, GEPIA, TCGA, and cBioPortal. We found that IRF1, IRF2, IRF5, IRF8 and IRF9 were significantly upregulated in glioma compared to normal brain tissue. Higher IRF1, IRF2, IRF3, IRF4, IRF5, IRF7, IRF8 and IRF9 mRNA levels correlated with more advanced tumor grades and poorer outcomes. Moreover, although IRFs mutation rates were low (ranging from 0.5% to 2.3%) in glioma patients, genetic alterations in IRFs were associated with more favorable patient survival. Functional analysis showed that IRFs participated in glioma pathology mainly through multiple inflammation- and immunity-related pathways. Additionally, correlations were identified between IRFs and infiltration of immune cells within glioma tissues. Collectively, these results indicate that IRF family members, including IRF1, IRF2, IRF5, IRF8 and IRF9, may serve as prognostic biomarkers and indicators of immune status in glioma patients.
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spelling pubmed-81090552021-05-12 Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma Lei, Jin Zhou, Ming-Hui Zhang, Fu-Chi Wu, Kang Liu, Sheng-Wen Niu, Hong-Quan Aging (Albany NY) Research Paper Members of the interferon regulatory factor (IRF) gene family are crucial regulators of type I interferon signaling, which may play a role in the resistance of glioma to immune checkpoint blockade. However, the expression profiles, potential functions, and clinical significance of IRF family members remain largely unknown. Here, we examined IRF transcript levels and clinicopathological data from glioma patients using several bioinformatic databases, including ONCOMINE, GEPIA, TCGA, and cBioPortal. We found that IRF1, IRF2, IRF5, IRF8 and IRF9 were significantly upregulated in glioma compared to normal brain tissue. Higher IRF1, IRF2, IRF3, IRF4, IRF5, IRF7, IRF8 and IRF9 mRNA levels correlated with more advanced tumor grades and poorer outcomes. Moreover, although IRFs mutation rates were low (ranging from 0.5% to 2.3%) in glioma patients, genetic alterations in IRFs were associated with more favorable patient survival. Functional analysis showed that IRFs participated in glioma pathology mainly through multiple inflammation- and immunity-related pathways. Additionally, correlations were identified between IRFs and infiltration of immune cells within glioma tissues. Collectively, these results indicate that IRF family members, including IRF1, IRF2, IRF5, IRF8 and IRF9, may serve as prognostic biomarkers and indicators of immune status in glioma patients. Impact Journals 2021-04-26 /pmc/articles/PMC8109055/ /pubmed/33902005 http://dx.doi.org/10.18632/aging.202915 Text en Copyright: © 2021 Lei 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
Lei, Jin
Zhou, Ming-Hui
Zhang, Fu-Chi
Wu, Kang
Liu, Sheng-Wen
Niu, Hong-Quan
Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title_full Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title_fullStr Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title_full_unstemmed Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title_short Interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
title_sort interferon regulatory factor transcript levels correlate with clinical outcomes in human glioma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109055/
https://www.ncbi.nlm.nih.gov/pubmed/33902005
http://dx.doi.org/10.18632/aging.202915
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