ArticleBiology2024
Transcriptomic Analysis of Hub Genes Reveals Associated Inflammatory Pathways in Estrogen-Dependent Gynecological Diseases.
Article in Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Single-nucleus analysis of menstrual fluid highlights gene expression differences in epithelial cells of endometriosis donors.BMC medicine · 2026Article
- Article
- Multi-Target Anti-Steatotic Effects of Andrographolide in MAFLD: Insights from Network Pharmacology and in vitro Study.Journal of experimental pharmacology · 2026Article
- Targeting glucocorticoid receptor signaling in platinum-resistant ovarian cancer: translational rationale and clinical advances following the ROSELLA trial.Oncology reviews · 2026Review
- Microinflammation-Driven Gene Expression Dynamics in the Pathogenesis of Metabolic Disorders and Cancer.Biology · 2025Article
- Conserved Blood Transcriptome Patterns Highlight microRNA and Hub Gene Drivers of Neurodegeneration.Genes · 2025Article
- Large animal models in gynecology: status and future perspectives.Frontiers in veterinary science · 2025Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Gynecological diseases are triggered by aberrant molecular pathways that alter gene expression, hormonal balance, and cellular signaling pathways, which may lead to long-term physiological consequences. This study was able to identify highly preserved modules and key hub genes that are mainly associated with gynecological diseases, represented by endometriosis (EM), ovarian cancer (OC), cervical cancer (CC), and endometrial cancer (EC), through the weighted gene co-expression network analysis (WGCNA) of microarray datasets sourced from the Gene Expression Omnibus (GEO) database. Five highly preserved modules were observed across the EM (GSE51981), OC (GSE63885), CC (GSE63514), and EC (GSE17025) datasets. The functional annotation and pathway enrichment analysis revealed that the highly preserved modules were heavily involved in several inflammatory pathways that are associated with transcription dysregulation, such as NF-kB signaling, JAK-STAT signaling, MAPK-ERK signaling, and mTOR signaling pathways. Furthermore, the results also include pathways that are relevant in gynecological disease prognosis through viral infections. Mutations in the
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Registered trials
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