Objective:Gliomas have a high incidence rate in central nervous tumors.Although many breakthroughs have been made in the pathogenesis and treatment of glioma,the recurrence and metastasis rates of patients have not been improved based on the uniqueness of glioma.Glioma destroys the surrounding basementmembrane(BM),leading to local infiltration,resulting in the corresponding clinical and neurological symptoms.In this paper,we explore biological roles played by basement membrane associated genes(BMGs)in glioma by bioinformatics analysis,in order to provide new ideas for a comprehensive understanding of the biological processes of glioma and its treatment.Methods:Differential expression and univariate Cox regression analyses were used to identify the BMGs to be included in the model.Lasso regression was used to construct the BMG model.The Kaplan-Meier(KM)survival analysis model was used to assess the prognosis discrimination between training sets,validation sets,and clinical subgroups.ROC analysis was used to test the prognostic efficacy of the model.Use calibration curves to verify the accuracy of nomograms.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Set Enrichment Analysis(GSEA)were used to analyze the function and pathway enrichment among the model groups.ESTIMATE and other seven algorithms including CIBERSORT were used to evaluate the immune microenvironment.“p RRophetic” was used to evaluate drug sensitivity.Results:This study demonstrated that high-risk genes(LAMB4,MMP1,MMP7)promote glioma progression and negatively correlate with patient prognosis.In the tumor microenvironment(TME),high-risk genes have increased scores of macrophages,neutrophils,immune checkpoints,chemokines,and chemokine receptors,suggesting that they were involved in immune evasion in tumor cells.Conclusion:1.BMGs are closely related to the occurrence and development of glioma cells,and the expression of high-risk group genes(LAMB4,MMP1,MMP7)is associated with poor prognosis in glioma patients and can be used as biomarkers for glioma prognosis.2.BMGs,especially high-risk-related genes,are potential sites for glioma immunotherapy,a new prospect for comprehensively understanding the molecular mechanism of glioma. |