Distinct subtypes of endometriosis identified based on stromal-immune microenvironment and gene expression: implications for hormone therapy.

ABSTRACT:

Background

Endometriosis (EMs) is a chronic inflammatory condition that is highly heterogeneous. Current clinical staging fails to accurately predict drug responses and prognosis. In this study, we aimed to reveal the heterogeneity of ectopic lesions and investigate the possible underlying mechanisms using transcriptomic data and clinical information.

Methods

The EMs microarray dataset GSE141549 was obtained from the Gene Expression Omnibus database. Unsupervised hierarchical clustering was performed to identify EMs subtypes, which was followed by the functional enrichment analysis and estimation of immune infiltrates. Subtype-associated gene signatures were identified and further validated in other independent datasets, including GSE25628, E-MTAB-694, and GSE23339. Addition

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10324653 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature