[Bioinformatic analysis of immune correlation and prognostic value of SERPINs in glioma]

Objective To investigate the expression of serine protease inhibitors (SERPINs) and immune infiltration in gliomas and identify their relationship with the prognosis. Methods By using R and several bioinformatics analysis databases, the expression of 35 genes of Serpins in glioma tissues from TCGA were collected and analyzed; In GEPIA, genes with significant differences were selected for survival analysis and genes with the most prognostic value were chosen for further analysis. To probe the correlation between SERPIN and tumor immunity, gene expression in pan-cancer, cells cluster enrichment in tumor tissue, and the correlation between macrophage infiltration and SERPIN expression were analyzed, via TIMER and TISCH. Results The expression of SERPIN in glioma changed, showing a significant correlation with glioma grade and prognosis. SERPINE2 and SERPINH1 were significantly correlated with the prognosis of patients with high-grade glioma, and may involve in the immune regulation within the tumor immune microenvironment through different pathways with immune cells. Conclusion The expression of SERPINs are closely related to the clinical prognosis and immunity in glioma, among which SERPINE2 and SERPINH1 are the key genes with significant effect.