AUTHOR=Bae Sung-Jin , Jo Yunju , Cho Min Kyoung , Jin Jung-Sook , Kim Jin-Young , Shim Jaewon , Kim Yun Hak , Park Jang-Kyung , Ryu Dongryeol , Lee Hyun Joo , Joo Jongkil , Ha Ki-Tae TITLE=Identification and analysis of novel endometriosis biomarkers via integrative bioinformatics JOURNAL=Frontiers in Endocrinology VOLUME=13 YEAR=2022 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.942368 DOI=10.3389/fendo.2022.942368 ISSN=1664-2392 ABSTRACT=
Endometriosis is a gynecological disease prevalent in women of reproductive age, and it is characterized by the ectopic presence and growth of the eutopic endometrium. The pathophysiology and diagnostic biomarkers of endometriosis have not yet been comprehensively determined. To discover molecular markers and pathways underlying the pathogenesis of endometriosis, we identified differentially expressed genes (DEGs) in three Gene Expression Omnibus microarray datasets (GSE11691, GSE23339, and GSE7305) and performed gene set enrichment analysis (GSEA) and protein–protein interaction (PPI) network analyses. We also validated the identified genes