摘要
Abstract
Objective:To explore immune related differentially expressed genes(IRDEGs)in endometriosis(EMs)using bioinformatics methods,providing new insights into the pathogenesis of EMs.
Methods:Three comprehensive microarray datasets of gene expression in endometriosis(GSE11691,GSE23339,and GSE7305)were obtained from the GEO database,and differentially expressed genes(DEGs)were identified by Sangerbox.Immune related genes(IRGs)were obtained from the InnateDB database,and the intersection of DEGs and IRGs was used to obtain IRDEGs.Gene ontology(GO)functional annotation,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed on IRDEGs.STRING construction was used to conduct protein-protein interactions(PPI),and the predicted genes of IRDEGs were validated using external datasets(GSE135485 and GSE201912).The immunohistochemistry and quantitative reverse transcriptase PCR(qRT-PCR)on samples of EMs patients and normal endometrial tissue were used to verify the predicted genes of IRDEGs.
Results:A total of 266 DEGs were identified using three gene chips,with 107 upregulated and 159 downregulated.After intersecting with IRGs,a total of 61 IRDEGs were identified.GO functional annotation enrichment analysis obtained 199 enrichment items,while KEGG pathway enrichment analysis obtained 44 enrichment results.GO and KEGG functional analysis showed that EMs were associated with immune and inflammatory pathways.In the comparison of externally validated gene sets,the expression levels of FCGR2A,CD163,VCAM1,CD40 and FN1 in the top ten of IRDEGs showed significant differences(P＜0.05).Immunohistochemistry and qRT-PCR confirmed that the expressions of FCGR2A and CD40 mRNA and their protein levels were significantly increased in EMs patients(P＜0.001).
Conclusions:Differential expression genes related to immunity in EMs were screened based on bioinformatics methods.FCGR2A and CD40 may be potential biomarkers for endometriosis and may become new targets for immunotherapy of endometriosis.关键词
子宫内膜异位症/免疫相关基因/生物信息学/关键基因Key words
Endometriosis/Immune related genes/Bioinformatics/Key gene分类
医药卫生
