ArticlePeerJ2026
Study on biomarkers associated with epigenetic factors in endometriosis combining transcriptome with experimental validation.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Research Progress of Histone Deacetylase and Its Inhibitors in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Endometriosis (EM) is a disease related to reproductive dysfunction. The mechanism of epigenetic factors (EF) in EM still needs to be studied. Emerging evidence suggests that EF plays a role in the development of EM. However, the specific molecular pathways through which they exert their effects remain incompletely understood, necessitating further in-depth research. This study aimed to explore the mechanisms underlying EF in EM. Methods: In the study, the differentially expressed genes (DEGs) between EM and control were obtained by analyzing transcriptome data from public databases. Candidate genes were obtained by taking the intersection of DEGs and EF-related genes (EF-RGs), which were further screened using machine learning algorithms, receiver operating characteristic analysis, and expression levels in the EM and control samples to obtain biomarkers. The potential mechanisms of biomarkers in EF were further analyzed by constructing a nomogram model, gene set enrichment analysis (GSEA), immune infiltration analysis, expression profiling in tissues and cells, molecular regulatory networks, and drug prediction. The expression of these biomarkers was validated using in vitro experiments. Results: Histone deacetylase 9 ( Conclusion: This study identified three biomarkers (
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