Background: Thymic epithelial tumors (TETs) are relatively rare malignant thoracic tumors. Tumor mutation burden (TMB) and immune infiltration play important roles in tumorigenesis.
Methods: Research data was obtained using the Cancer Genome Atlas (TCGA) database to evaluate the landscape of tumor mutations, related factors, and relationship of prognosis. The CIBERSORT algorithm was used to evaluate immune cell infiltration in TETs and its relationship with TMB. Immune-related differentially expressed genes (irDEGs) were identified. Hub irDEGs independently related to prognosis were analyzed using univariate and multivariate Cox proportional hazard models. A survival signature was constructed from hub irDEGs.
Results A total of 122 patients were included in this study. GTF2I was the most common gene mutation. Higher TMB was significantly associated with the later stage, more advanced pathological type, and older age. The overall survival (OS) of patients in the low-TMB group was significantly better. There was no significant correlation between TMB levels and PD-L1 expression. Enrichment analysis showed that DEGs were mainly involved in the P13K-Akt signaling pathway. There were significant differences in macrophage and other types of immune cell infiltration between the high- and low-TMB groups. CCR5, FASLG, and CD79A independently relating to prognosis were screened from 391 irDEGs. The low-risk group had a significantly better prognosis than the high-risk group based on the signature, which has a good predictive effect on OS.
Conclusions: In this study, TETs patients with high TMB had a significantly poor prognosis and an immune-related gene signature was found to effectively evaluate the long-term prognosis.
