Bioinformatics Analysis Of Oxidative Stress-Related LncRNAs In Glioblastoma

More effective treatment modalities,the search for new molecular markers and the development of new therapeutic targets are necessary to improve the clinical prognosis of patients with glioma.Oxidative stress is a state in which an imbalance of oxidative and reductive reactions occurs,affecting physiological processes including cell proliferation,differentiation,angiogenesis and metabolism.Many studies have shown that oxidative stress processes and the development of many cancers play an important role.lncRNA(long-stranded non-coding RNA)is associated with the development and progression of many malignant tumors,including glioma.this study investigates the prognosis of glioma patients by establishing oxidative stress-related lncRNA models to predict the prognosis of glioma patients,explore the tumor microenvironment of different patients,and provide a different perspective for the individualization of glioma treatment of glioma by providing different perspectives.Purpose:The aim of this study was to investigate the immunotherapeutic value of oxidative stress-related lncRNAs for glioma through bioinformatic analysis of the existing TCGA database of glioma genetic data and clinical data,in the hope of enabling new therapeutic targets for glioma treatment.Methods:GBM gene expression data were extracted from the TCGA database,oxidative stress-related genes were downloaded from the human gene database(GeneCards),differential analysis was performed to identify differentially expressed oxidative stress-related lncRNAs(OSRGs),and then univariate,multifactorial and Cox regression analyses were performed on related lncRNAs to identify OSRGs associated with prognosis,and predict prognosis based on risk scores.Gene enrichment analysis(GSEA),and immunoassays were also performed.In addition,the samples were divided into 3 groups by consensus clustering to further discuss the level of immune cell infiltration among the three groups and to screen for sensitive drugs.RESULTS:Nine lncRNAs associated with oxidative stress(LINC01173,UNC5B-AS1,LINC02084,DRAIC,RARA-AS1,SLC6A12-AS1,NARF-AS2,HCG25,DLEU1)in a prognostic model.The glioma samples screened from the TCGA database were randomly divided into test and train groups,and we divided all samples into high risk(High Risk)and low risk(Low Risk)groups based on the median risk score.Based on the established prognostic model,Kaplan-Meier survival analysis was performed on the samples in the test and train groups,and the results showed that the survival rate of the samples was lower in the high-risk group than in the low-risk group(P<0.05).Subsequently,independent prognostic analysis of the test and train groups yielded age(age)and risk score(Riskscore)as independent prognostic factors,demonstrating that the prognostic model could predict patient prognosis.The ROC curve analysis(1-year AUC=0.766,2-year AUC=0.795,and 3-year AUC=0.760)were all greater than 0.7,demonstrating that the model has good predictive power for glioma prognosis.By gene enrichment analysis we found the functions or pathways that were more active in the high-risk group versus the lowrisk group.Further analysis showed that the risk score was associated with the immune microenvironment of glioma.In addition consensus clustering of oxidative stress-related lncRNAs definition identified 3 subtypes that exhibited different levels of immune infiltration between subtypes.Finally,drug sensitivity analysis identified 13 immunologic agents for glioma treatment.CONCLUSION:A glioma prognostic model constructed based on nine lncRNAs can independently predict prognostic indicators in glioma patients.GSEA analysis was performed separately in high and low risk groups,and as a result we identified functions or pathways that are linked to glioma development,and then our enrichment results gave new and different points for glioma treatment.We performed correlation analysis with this prognostic model and glioma immune infiltration,and the results could verify the relationship between prognosis and immune cells.Oxidative stress-related lncRNAs may be involved in regulating the immune microenvironment of glioma.