Bioinformatics Analysis of Hypoxia-Related Mechanisms in Endometriosis: DDR2 as a Potential Diagnostic and Therapeutic Biomarker.

ABSTRACT:

Background

Endometriosis is a chronic gynecological disorder characterized by the presence of endometrial-like tissue outside the uterine cavity, causing chronic pain and infertility. Hypoxia plays a significant role in the progression of endometriosis.

Methods

We performed bioinformatics analysis on GEO datasets to identify differentially expressed genes (DEGs) in endometriosis, using weighted gene coexpression network analysis (WGCNA)and GeneCards for hypoxia-related genes. Machine learning models identified key hub genes. CCK-8, EdU, and Transwell assays assessed cell proliferation, migration, and invasion. Molecular docking was performed to investigate the interactions between the drug and the protein.

Results

In the GEO dataset analysis, 2834 DEGs were identified

SUBMITTER: Zhao M 

PROVIDER: S-EPMC12714822 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature