Diagnostic gene biomarkers for predicting immune infiltration in endometriosis.

ABSTRACT:

Objective

To determine the potential diagnostic markers and extent of immune cell infiltration in endometriosis (EMS).

Methods

Two published profiles (GSE7305 and GSE25628 datasets) were downloaded, and the candidate biomarkers were identified by support vector machine recursive feature elimination analysis and a Lasso regression model. The diagnostic value and expression levels of biomarkers in EMS were verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blotting, then further validated in the GSE5108 dataset. CIBERSORT was used to estimate the composition pattern of immune cell components in EMS.

Results

One hundred and fifty-three differential expression genes (DEGs) were identified between EMS and endometrial with 83 upre

SUBMITTER: Xie C 

PROVIDER: S-EPMC9118874 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature