社会学と犯罪学 - オープンアクセス
オープンアクセス

概要

Integrative Analysis of Gene Expression Profiles to Identify Immune Infiltration-Related Biomarkers: In the Lesion of Endometriosis

Xiang kong*, Taung Xio

Recent studies have indicated the crucial role of the immune system in the pathogenesis and progression of Endometriosis (EM). This study aims to identify the signature of immune cell infiltration and the immune-related diagnostic biomarkers of EM through multi-bioinformatics analysis. Through the xCell algorithm calculating the common dataset of EM, we found that macrophages and neutrophils constitute the most infiltrating immune cells in the endometrium tissue. We identified 816 Differentially Expressed Genes (DEGs) between EM lesions and normal endometrium. We also constructed the Weighted Gene Co-expression Network Analysis (WGCNA) to identify the immune-related hub module. The Venn diagram of the hub module, DEGs, and the immune-related genes identified four immune-related hub genes of EM (TNFSF13B, IL7R, CSF1R, and LEP), which were all significantly up regulated in the lesions of EM than that of controls. Furthermore, we utilized multiple independent datasets to validate our results. The area under the ROC curves (AUC) of those hub genes for disease diagnosis was higher than 0.8. We also find that those hub genes were connectively concerned with the common complication infertility of EM.