This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened …
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, focusing on the …
Endometriosis, a prevalent gynecological disorder marked by ectopic growth of endometrial-like tissue, demonstrates malignant tumor-like properties including aggressive adhesion and invasiveness. Emerging evidence implicates roundabout guidance receptor 3 (ROBO3) in …
Endometriosis remains a prevalent gynecological disorder that affects women during their reproductive years, featured by progressive inflammation and enhanced HIF-1α expression. This paper intended to plumb the mechanism of vascular …
Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from …
Endometriosis (EMs) is a gynecological disorder characterized by chronic inflammation and an aberrant immune microenvironment. In this study, we integrated the GSE6364 dataset from the GEO database to identify differentially …
Endometriosis is an estrogen-dependent disorder with unclear molecular mechanisms. Ferroptosis, a regulated iron-dependent cell death, may play a key role, yet the specific genes involved remain underexplored.
Bioinformatics-Based Identification of Differentially Expressed Genes in Endometrial Carcinoma: Implications for Early Diagnosis and Prognostic Stratification Frontiers
This study investigates the mechanism of Ge Xia-Zhu Yu decoction (GXZYT) in the treatment of endometriosis (EMS). The active components and targets of GXZYT were screened using TCMSP database and …
Immunogenic Cell Death-Related Genes as Prognostic Biomarkers and Therapeutic Insights in Uterine Corpus Endometrial Carcinoma: An Integrative Bioinformatics Analysis Frontiers