Identification of a Potential Biomarker PDGFRA for Endometriosis Based on Comprehensive Analysis of Multiple Omics Data.
Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with some theories proposing that the disease is caused by …
Identification and Subtype Analysis of Lipid Metabolism-Related Diagnostic Biomarkers for Endometriosis Based on WGCNA and Machine Learning.
Endometriosis (EM), a disorder driven by persistent systemic inflammation, impacts around 10% of women in their reproductive period, often diagnosed only via surgery. Metabolic alterations, particularly in lipid metabolism, may …
Identified endoplasmic reticulum stress-related molecular cluster and immune characterization in endometriosis.
Endometriosis is a common disease among women of childbearing age, and endoplasmic reticulum stress (ERS), a response involved in regulating protein homeostasis, has been linked to its pathogenesis. To identify …
Integrated bioinformatics analysis and machine learning identifies FZD4, SRPX2, and COL8A1 as angiogenesis hub genes in endometriosis.
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 …
Identification and validation of lactate-related gene signatures in endometriosis for clinical evaluation and immune characterization by WGCNA and machine learning.
Endometriosis is a common benign gynecologic disease in women of reproductive age, and its manifestations remarkably decrease quality of life. Lactate, as a metabolite, exerts prominent effects across a wide …
SPP1 as a key modulator of M2 macrophage polarization promotes endometriosis progression via activation of the FAK/PI3K/AKT pathway: A bioinformatics and experimental study.
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 …
Identification and Validation of Lactate-related gene signatures in endometriosis for clinical valuation and immune characterization by WGCNA and machine learning - Frontiers
Identification and Validation of Lactate-related gene signatures in endometriosis for clinical valuation and immune characterization by WGCNA and machine learning Frontiers