ArticleFrontiers in genetics2021
Identification of Functional lncRNAs Associated With Ovarian Endometriosis Based on a ceRNA Network.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- p53-mediated epigenetic regulation in the pathogenesis of endometriosis.Epigenetics · 2026Review
- Gut-reproduction axis: genome-wide pleiotropic and prospective evidence linking inflammatory bowel disease with gynecological disorders.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- The hypoxia-epigenetics-ncRNA axis in endometriosis: from molecular cascades to self-sustaining pathogenic circuits.Frontiers in endocrinology · 2026Review
- Leveraging epigenetic aberrations in the pathogenesis of endometriosis: from DNA methylation to non-coding RNAs.Frontiers in genetics · 2025Review
- Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysis.Journal of assisted reproduction and genetics · 2023Article
- The landscape of non-coding RNAs in the immunopathogenesis of Endometriosis.Frontiers in immunology · 2023Review
- Long noncoding RNA ADAMTS9-AS1 represses ferroptosis of endometrial stromal cells by regulating the miR-6516-5p/GPX4 axis in endometriosis.Scientific reports · 2022Article
- Molecular Signatures Correlated With Poor IVF Outcomes: Insights From the mRNA and lncRNA Expression of Endometriotic Granulosa Cells.Frontiers in endocrinology · 2022Article
- miR-206 Targets MALAT1 to Suppress Cell Progression of Ectopic Endometrial Stromal Cells in Endometriosis.Journal of healthcare engineering · 2022Article
- The Role of Long Non-Coding RNAs in Endometriosis.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometriosis is a common gynecological disease affecting women of reproductive age; however, the mechanisms underlying this condition are not fully clear. The aim of this study was to identify functional long non-coding RNAs (lncRNAs) associated with ovarian endometriosis for potential use as biomarkers and therapeutic targets.
methodsRNA-seq profiles of paired ectopic (EC) and eutopic (EU) endometrial samples from patients with ovarian endometriosis were downloaded from the publicly available Gene Expression Omnibus (GEO) database. Bioinformatics algorithms were used to construct a network of ovarian endometriosis-related competing endogenous RNAs (ceRNAs) and to detect functional lncRNAs.
resultsA total of 4,213 mRNAs, 1,474 lncRNAs, and 221 miRNAs were identified as being differentially expressed between EC and EU samples, and an ovarian endometriosis-related ceRNA network was constructed through analysis of these differentially expressed RNAs. H19 and GS1-358P8.4 were identified as key ovarian endometriosis-related lncRNAs through topological feature analysis, and RP11-96D1.10 was identified using a random walk with restart algorithm.
conclusionBased on bioinformatics analysis of a ceRNA network, we identified the lncRNAs H19, GS1-358P8.4, and RP11-96D1.10 as being strongly associated with ovarian endometriosis. These three lncRNAs hold potential as targets for medical therapy and as diagnostic biomarkers. Further studies are needed to elucidate the detailed biological function of these lncRNAs in the pathogenesis of endometriosis.
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