Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA.

ABSTRACT: Background: Endometriosis is a serious gynecological disorder characterized by debilitating pain, infertility and the establishment of innervated endometriosis lesions outside the uterus. Early detection and accurate diagnosis are pivotal in endometriosis. The work screened autophagy-related genes (ATGs) as potential biomarkers to reveal new molecular subgroups for the early diagnosis of endometriosis. Materials and Methods: The gene lists of ATGs from five databases were integrated. Then, weighted gene co-expression network analysis (WGCNA) was used to map the genes to the gene profile of endometriosis samples in GSE51981 to obtain functional modules. GO and KEGG analyses were performed on the ATGs from the key modules. Differentially expressed ATGs were identified by the li

SUBMITTER: Wang J 

PROVIDER: S-EPMC8591037 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature