Unraveling immunotherapeutic targets for endometriosis: a transcriptomic and single-cell analysis.

ABSTRACT:

Background

Endometriosis (EMs), a common gynecological disorder, adversely affects the quality of life of females. The pathogenesis of EMs has not been elucidated and the diagnostic methods for EMs have limitations. This study aimed to identify potential molecular biomarkers for the diagnosis and treatment of EMs.

Methods

Differential gene expression (DEG) and functional enrichment analyses were performed using the R language. WGCNA, Random Forest, SVM-REF and LASSO methods were used to identify core immune genes. The CIBERSORT algorithm was then used to analyse the differences in immune cell infiltration and to explore the correlation between immune cells and core genes. In addition, the extent of immune cell infiltration and the expression of immune core genes were investi

SUBMITTER: Zhou C 

PROVIDER: S-EPMC10687456 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature