Identification of key genes associated with infertile endometriosis based on bioinformatic analysis.

ABSTRACT:

Background

Endometriosis is a common disease among women of childbearing age. However, the molecular mechanism behind it is still unknown. Therefore, new biomarkers and therapeutic targets are needed to improve the diagnosis and treatment of infertile women.

Methods

Microarray datasets GSE7305, GSE7307, and GSE51981 were downloaded from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between control and endometriosis. The STRING database and Cytoscape software constructed protein-protein interaction and hub gene networks. At the same time, the three data sets were screened for co-differentially expressed genes related to mitosis. Subsequently, we identified mitosis-related hub genes (MRHGs) associated with both mitosis-related genes and

SUBMITTER: Chang L 

PROVIDER: S-EPMC12325009 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature