Bioinformatics Analysis of Key Differential Genes Related to Anoikis in Osteosarcoma Metastasis
Objective:To investigate potential biomarkers related to anoikis and explore their associated pathways in osteosarco-ma metastasis through bioinformatics analysis.Methods:We downloaded the GSE21257 and GSE33382 datasets from the Gene Ex-pression Omnibus(GEO)database.Robust Rank Aggregation(RRA)and batch correction differential expression analysis were employed to identify differentially expressed genes(DEGs).The intersection of these DEGs with anoikis-related genes in the Hu-man Gene Database was used to obtain anoikis-related DEGs associated with osteosarcoma metastasis.Enrichment analysis,GENE-MANIA analysis,immune infiltration,immune cell differential analysis,and immune cell correlation analysis were performed on the identified anoikis-related DEGs.Results:This study identified four key genes related to anoikis using bioinformatics methods,namely cadherin 2(CDH2),heat shock protein 1A(HSPA1A),integrin beta 2(ITGB2),and calprotectin A(S100A8).Differ-ential analysis of immune cells revealed that the infiltration levels of immune cells such as neutrophils and mast cells in the metastat-ic group increased,while regulatory T cells decreased in the non-metastatic group.The correlation analysis of immune cells revealed a positive correlation between monocytes and neutrophils,a negative correlation between memory B cells and naive B cells The cor-relation analysis of differential anoikis-related genes and immune cells showed that HSPA1A,CDH2,ITGB2 and S100A8 genes were correlated with different immune cell populations,indicating that anoikis-related genes might be involved in immune regulation dur-ing tumor metastasis.Conclusion:HSPA1A,CDH2,ITGB2 and S100A8 can be used as potential biomarkers for osteosarcoma metastasis.
万方数据
维普
