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Dataset Information

Identification and validation of immune-related and inflammation-related genes in endometriosis.


ABSTRACT:

Aim

Endometriosis is characterized by immune evasion and progressive inflammation. This study aimed to identify key genes related to immune and inflammation in endometriosis.

Methods

Differentially expressed genes between patients with and without endometriosis were identified from the GEO database. Furthermore, immune- and inflammation-related genes (IRGs) were identified by intersecting the differentially expressed genes with known immune and inflammatory genes. Functional analyses of the GO and KEGG pathways of these genes were performed. Subsequently, three machine learning models-LASSO regression, SVM-RFE, and Boruta-were conducted to identify the potential key genes in endometriosis. Finally, the expressions of key genes in endometriosis were verified in two validation

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC12095003 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature