Screening prognostic markers in the immune microenvironment of sarcoma based on bioinformatics
Objective To screen prognostic markers in the immune microenvironment of sarcoma based on bioinformatics,and to provide a reference for the development of sarcoma immunotherapy regimens.Methods The RNA-seq expression profiles of 265 sarcomas in the Cancer Genome Atlas(TCGA)database were downloaded.Differentially expressed genes(DEGs)were screened by R language"limma"package,and common DEGs were obtained by Veen plot.Protein-protein interactions(PPI)network interaction analysis combined with Cytoscape software was used to obtain key DEGs.The GEPIA database was used to identify prognostic genes,and the correlation between gene expression and immune cell infiltration level was analyzed by TIMER database.Gene set enrichment analysis(GSEA)was used to verify the regulation of key genes on immune-related signaling pathways.Results Kaplan-Meier survival analysis results showed that Immune Score,Stromal Score and ESTIMATE Score were positively correlated with overall survival(OS)and disease specific survival(DSS)in patients with sarcoma(P<0.05).The PPI core module mainly contained 10 core genes,namely CD4,LCK,PTPN6,SYK,CD8A,PTPRC,CD3D,CD3E,LCP2 and ITGAM.The key genes of LCK,CD3E and PTPN6 were significantly related to the poor prognosis and immune cell infiltration level of patients.Single gene GSEA analysis showed that the up-regulated expression of LCK,CD3E and PTPN6 could be significantly enriched in the T cell receptor signaling pathway.Conclusion The expression of LCK,CD3E and PTPN6 is related to the prognosis and immune cell infiltration of sarcoma patients.This finding may help to improve the immunotherapy of sarcoma patients.
万方数据
维普
