期刊
FRONTIERS IN GENETICS
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2021.736187
关键词
glioblastoma; immune microenvironment; immune-related gene; EGFR; prognosis; immune checkpoint blockade therapy; radiotherapy
资金
- National Natural Science Foundation of China [61575058]
- Zhejiang Provincial People's Hospital Talent Introduction Project [C-2021QDJJ03-01]
This study aimed to develop an immune-related gene (IRG) signature for predicting and improving the prognosis and treatment paradigm of glioblastoma (GBM). The IRG-based risk model showed superior prognostic performance and revealed the features of the immune microenvironment in the high-risk group, providing valuable information for clinical management.
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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