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Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy

Interferon-gamma (IFNG) has profound impacts on tumor-immune interaction and is of great clinical significance for multiple cancers. Exploring the role of IFNG in glioblastoma (GBM) may optimize the current treatment paradigm of this disease. Here, multi-dimensional data of 429 GBM samples were coll...

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Autores principales: Ji, Hang, Ba, Yixu, Ma, Shuai, Hou, Kuiyuan, Mi, Shan, Gao, Xin, Jin, Jiaqi, Gong, Qin, Liu, Ting, Wang, Fang, Liu, Zhihui, Li, Shupeng, Du, Jianyang, Hu, Shaoshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461254/
https://www.ncbi.nlm.nih.gov/pubmed/34566988
http://dx.doi.org/10.3389/fimmu.2021.729359
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author Ji, Hang
Ba, Yixu
Ma, Shuai
Hou, Kuiyuan
Mi, Shan
Gao, Xin
Jin, Jiaqi
Gong, Qin
Liu, Ting
Wang, Fang
Liu, Zhihui
Li, Shupeng
Du, Jianyang
Hu, Shaoshan
author_facet Ji, Hang
Ba, Yixu
Ma, Shuai
Hou, Kuiyuan
Mi, Shan
Gao, Xin
Jin, Jiaqi
Gong, Qin
Liu, Ting
Wang, Fang
Liu, Zhihui
Li, Shupeng
Du, Jianyang
Hu, Shaoshan
author_sort Ji, Hang
collection PubMed
description Interferon-gamma (IFNG) has profound impacts on tumor-immune interaction and is of great clinical significance for multiple cancers. Exploring the role of IFNG in glioblastoma (GBM) may optimize the current treatment paradigm of this disease. Here, multi-dimensional data of 429 GBM samples were collected. Various bioinformatics algorithms were employed to establish a gene signature that characterizes immunological features, genomic alterations, and clinical characteristics associated with the IFNG response. In this way, a novel IFNG-related gene signature (IFNGrGS, including TGFBI, IL4I1, ACP5, and LUM) has been constructed and validated. Samples with increased IFNGrGS scores were characterized by increased neutrophil and macrophage infiltration and exuberant innate immune responses, while the activated adaptive immune response may be frustrated by multiple immunosuppressive mechanisms. Notably, the IFNG pathway as well as its antagonistic pathways including IL4, IL10, TGF-beta, and VEGF converged on the expression of immune checkpoints. Besides, gene mutations involved in the microenvironment were associated with the IFNGrGS-based stratification, where the heterogeneous prognostic significance of EGFR mutation may be related to the different degrees of IFNG response. Moreover, the IFNGrGS score had solid prognostic value and the potential to screen ICB and radiotherapy sensitive populations. Collectively, our study provided insights into the role of IFNG on the GBM immune microenvironment and offered feasible information for optimizing the treatment of GBM.
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spelling pubmed-84612542021-09-25 Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy Ji, Hang Ba, Yixu Ma, Shuai Hou, Kuiyuan Mi, Shan Gao, Xin Jin, Jiaqi Gong, Qin Liu, Ting Wang, Fang Liu, Zhihui Li, Shupeng Du, Jianyang Hu, Shaoshan Front Immunol Immunology Interferon-gamma (IFNG) has profound impacts on tumor-immune interaction and is of great clinical significance for multiple cancers. Exploring the role of IFNG in glioblastoma (GBM) may optimize the current treatment paradigm of this disease. Here, multi-dimensional data of 429 GBM samples were collected. Various bioinformatics algorithms were employed to establish a gene signature that characterizes immunological features, genomic alterations, and clinical characteristics associated with the IFNG response. In this way, a novel IFNG-related gene signature (IFNGrGS, including TGFBI, IL4I1, ACP5, and LUM) has been constructed and validated. Samples with increased IFNGrGS scores were characterized by increased neutrophil and macrophage infiltration and exuberant innate immune responses, while the activated adaptive immune response may be frustrated by multiple immunosuppressive mechanisms. Notably, the IFNG pathway as well as its antagonistic pathways including IL4, IL10, TGF-beta, and VEGF converged on the expression of immune checkpoints. Besides, gene mutations involved in the microenvironment were associated with the IFNGrGS-based stratification, where the heterogeneous prognostic significance of EGFR mutation may be related to the different degrees of IFNG response. Moreover, the IFNGrGS score had solid prognostic value and the potential to screen ICB and radiotherapy sensitive populations. Collectively, our study provided insights into the role of IFNG on the GBM immune microenvironment and offered feasible information for optimizing the treatment of GBM. Frontiers Media S.A. 2021-09-10 /pmc/articles/PMC8461254/ /pubmed/34566988 http://dx.doi.org/10.3389/fimmu.2021.729359 Text en Copyright © 2021 Ji, Ba, Ma, Hou, Mi, Gao, Jin, Gong, Liu, Wang, Liu, Li, Du and Hu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Ji, Hang
Ba, Yixu
Ma, Shuai
Hou, Kuiyuan
Mi, Shan
Gao, Xin
Jin, Jiaqi
Gong, Qin
Liu, Ting
Wang, Fang
Liu, Zhihui
Li, Shupeng
Du, Jianyang
Hu, Shaoshan
Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title_full Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title_fullStr Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title_full_unstemmed Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title_short Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy
title_sort construction of interferon-gamma-related gene signature to characterize the immune-inflamed phenotype of glioblastoma and predict prognosis, efficacy of immunotherapy and radiotherapy
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461254/
https://www.ncbi.nlm.nih.gov/pubmed/34566988
http://dx.doi.org/10.3389/fimmu.2021.729359
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