Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis.

ABSTRACT:

Aim

Endometriosis is one of the most common reproductive system diseases, but the mechanisms of disease progression are still unclear. Due to its high recurrence rate, searching for potential therapeutic biomarkers involved in the pathogenesis of endometriosis is an urgent issue.

Methods

Due to the similarities between endometriosis and ovarian cancer, four endometriosis datasets and one ovarian cancer dataset were downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) analyses. Then, we validated gene expression and performed survival analysis with ovarian serous cystadenocarcinoma (OV) datasets

SUBMITTER: Lu Z 

PROVIDER: S-EPMC8381947 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature