Identification of Key Differentially Methylated/Expressed Genes and Pathways for Ovarian Endometriosis by Bioinformatics Analysis
This study identified 37 hypermethylated low-expression and 66 hypomethylated high-expression genes in ovarian endometriosis, with selected genes showing diagnostic value and enrichment in pathways like JAK-STAT and prolactin signaling.
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This bioinformatics study investigated ovarian endometriosis by integrating DNA methylation and gene expression profiles from endometrial tissue, using Illumina 450K methylation microarrays and the GSE141549 gene expression dataset, followed by identification of differentially methylated/expressed genes and pathway enrichment. The authors reported 37 hypermethylated low-expression genes and 66 hypomethylated high-expression genes, highlighting 8 hypermethylated low-expression genes (including ESR1, PRL, IL20RA, IL2RB) and 4 hypomethylated high-expression genes (including CYP11A1 and GSTM1), and found that both gene sets had diagnostic value; enriched pathways included JAK-STAT and prolactin signaling, among others. A subset of differentially methylated/expressed genes was validated in patient samples via qPCR and immunohistochemistry, and additional expression profiling confirmation was done using GSE7305, with the caveat that the integrated analyses depend on cross-dataset comparability and the confirmation appears limited to a subset of genes. This paper is centrally about endometriosis—identifying differentially methylated/expressed genes and enriched signaling pathways for ovarian endometriosis and evaluating their diagnostic value.
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Cited by (7)
- Bioinformatics analysis for identifying hub genes in endometriosis and recurrent implantation failure: molecular pathways to enhanced IVF success 2025
- Hypomethylation of IL6ST promotes development of endometriosis by activating JAK2/STAT3 signaling pathway 2025
- Endometriosis: Pathogenesis, Diagnosis and Treatment, volume II 2024
- The involvement of RNA N6-methyladenosine and histone methylation modification in decidualization and endometriosis-associated infertility 2024
- Integrated analysis of genome-wide gene expression and DNA methylation profiles reveals candidate genes in ovary endometriosis 2023
- Translational aspects of the endometriosis epigenome 2023
- Identification of Potential Differentially Methylated Gene-Related Biomarkers in Endometriosis 2022
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