The Prognostic Value of Risk Score Based on Immunogenenomic Landscape Analysis in Glioma

Abstract

Background: Glioma is a lethal intracranial tumor, and inflammation plays an important role in the initiation and development of glioma. Hence, there is an urgent need to conduct a bioinformatics analysis of immune-related genes (IRGs) for glioma. The present study aims to explore the association of the risk score with clinical outcomes and predict the prognosis with glioma. Methods: In The Cancer Genome Atlas (TCGA) database, 462 low grade glioma (LGG) samples and 166 glioblastoma (GBM) samples were reviewed, and IRGs correlated with the prognosis were selected by performing a survival analysis and establishing a Cox regression model. The potential molecular mechanism of these IRGs were also explored with assistance of computational biology. The risk score based on seven survival-associated IRGs was determined with the help of the multivariable Cox analysis, the patients were divided into two subgroups according to their risk score. Results: It was found that these differentially expressed IRGs were involved with the cytokine-cytokine receptor through functional enrichment analysis. The risk score based on the seven IRGs (SSTR5、CXCL10、CCL13、SAA1、CCL21、CCL27 and HTR1A) performed well in predicting patient’s the overall survival (OS), and correlated with age, 1p/19q codeletion status, IDH status, and WHO grades, both in the training (TCGA) datasets and the validation ((Chinese Glioma Genome Atlas) CGGA) datasets. The risk score also could reflect infiltration through several types of immune cells. Conclusions: This present study screened some IRGs associated with the patient’s clinical characteristic and prognosis, connect to the immune repertoire, demonstrated the importance of the risk score as a promising biomarker for estimating the clinical prognosis of glioma.

Analysis of the Expression of SELL, ADCY8 and TLR4 in Low Grade Gliomas and Correlation with Prognosis Based on Tumor Subtype Clustering

“…In recent years, a large number of studies have demonstrated that LGG tumor-immune response plays an important role in tumorigenesis and progression [12][13][14][15]. For example, we can see various degrees of infiltration of workers' lymphocytes in glioma specimens excised from wood, in addition, the immune infiltration status of hamster cell was correlated with the prognosis of LGG patients, moreover, the researchers now have glial pain resistant CD8 + lymphocytes in the peripheral blood of glioma patients, these evidences suggest that gliomas have some immunogenicity, and it is closely related to the prognosis of LGG.…”

Identification of SLC1A5 as a Novel Candidate Oncogene for Glioma and Its Involvement in the LGG Immune Microenvironment

“…In addition, prognostic immune signatures in glioma have previously been described [28][29][30]. For instance, Luo et al selected eight immune related genes that were differently expressed in glioma to build a prognosis prediction model that achieved a moderate prognostic accuracy (C-index = 0.827) [31]. The same study also constructed a robust immune-related signature consisting of 6 genes.…”