A Novel Immune Gene-Related Prognostic Score Predicts Survival and Immunotherapy Response in Glioma

作者：Xuehui Luo, Qi Wang, Hanmin Tang, Yuetong Chen, Xinyue Li, Jie Chen, Xinyue Zhang, Yuesen Li, Jiahao Sun, Suxia Han · 发表于：Medicina · 年份：2022 · DOI：10.3390/medicina59010023 · 被引用次数：4 · 研究领域：Glioma Diagnosis and Treatment、Ferroptosis and cancer prognosis、Cancer Immunotherapy and Biomarkers

Background and Objectives: The clinical prognosis and survival prediction of glioma based on gene signatures derived from heterogeneous tumor cells are unsatisfactory. This study aimed to construct an immune gene-related prognostic score model to predict the prognosis of glioma and identify patients who may benefit from immunotherapy. Methods: 23 immune-related genes (IRGs) associated with glioma prognosis were identified through weighted gene co-expression network analysis (WGCNA) and Univariate Cox regression analysis based on large-scale RNA-seq data. Eight IRGs were retained as candidate predictors and formed an immune gene-related prognostic score (IGRPS) by multifactorial Cox regression analysis. The potential efficacy of immune checkpoint blockade (ICB) therapy of different subgroups was compared by The Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. We further adopted a series of bioinformatic methods to characterize the differences in clinicopathological features and the immune microenvironment between the different risk groups. Finally, a nomogram integrating IGRPS and clinicopathological characteristics was built to accurately predict the prognosis of glioma. Results: Patients in the low-risk group had a better prognosis than those in the high-risk group. Patients in the high-risk group showed higher TIDE scores and poorer responses to ICB therapy, while patients in the low-risk group may benefit more from ICB therapy. The distribution of age and tumor gra...