Novel Immune-Related Gene-Based Signature Characterizing an Inflamed Microenvironment Predicts Prognosis and Radiotherapy Efficacy in Glioblastoma

Effective treatment of glioblastoma (GBM) remains an open challenge. Given the critical role of the immune microenvironment in the progression of cancers, we aimed to develop an immune-related gene (IRG) signature for predicting prognosis and improving the current treatment paradigm of GBM. Multi-om...

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Published inFrontiers in genetics Vol. 12; p. 736187
Main Authors Ji, Hang, Zhao, Hongtao, Jin, Jiaqi, Liu, Zhihui, Gao, Xin, Wang, Fang, Dong, Jiawei, Yan, Xiuwei, Zhang, Jiheng, Wang, Nan, Du, Jianyang, Hu, Shaoshan
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 17.01.2022
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Summary:Effective treatment of glioblastoma (GBM) remains an open challenge. Given the critical role of the immune microenvironment in the progression of cancers, we aimed to develop an immune-related gene (IRG) signature for predicting prognosis and improving the current treatment paradigm of GBM. Multi-omics data were collected, and various bioinformatics methods, as well as machine learning algorithms, were employed to construct and validate the IRG-based signature and to explore the characteristics of the immune microenvironment of GBM. A five-gene signature (ARPC1B, FCGR2B, NCF2, PLAUR, and S100A11) was identified based on the expression of IRGs, and an effective prognostic risk model was developed. The IRG-based risk model had superior time-dependent prognostic performance compared to well-studied molecular pathology markers. Besides, we found prominent inflamed features in the microenvironment of the high-risk group, including neutrophil infiltration, immune checkpoint expression, and activation of the adaptive immune response, which may be associated with increased hypoxia, epidermal growth factor receptor (EGFR) wild type, and necrosis. Notably, the IRG-based risk model had the potential to predict the effectiveness of radiotherapy. Together, our study offers insights into the immune microenvironment of GBM and provides useful information for clinical management of this desperate disease.
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Mikio Hayashi, Kansai Medical University, Japan
Luqing Tong, Zhejiang University, China
Reviewed by: Mario Teo, University of Bristol, United Kingdom
These authors have contributed equally to this work
This article was submitted to Human and Medical Genomics, a section of the journal Frontiers in Genetics
Edited by: Aniruddh Sarkar, Georgia Institute of Technology, United States
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2021.736187