ArticlePloS one2022
Identification of the shared gene signatures and pathways between polycystic ovary syndrome and endometrial cancer: An omics data based combined approach.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of the Molecular Mechanisms Involved in the Association Between PCOS and Endometrial and Ovarian Cancers.Journal of cellular and molecular medicine · 2024Pooled it
- Pooled it
- Study on the Effects and Mechanisms of Sea Buckthorn Fruit Pulp in Improving Polycystic Ovary Syndrome.Food science & nutrition · 2026Article
- Is there an association between hyperandrogenic states in women and endrometrial cancer? A narrative review.Hormones (Athens, Greece) · 2026Review
- Genome-wide association study identifies genetic variants associated with single-parity reproductive loss in three commercial pig breeds.BMC genomics · 2025Article
- Evaluating Potential Therapeutic Targets and Drug Repurposing Based on the Esophageal Cancer Subtypes.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Unraveling the Role of Cathepsin B Variants in Polycystic Ovary Syndrome: Insights from a Case-Control Study and Computational Analyses.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights.Journal of ovarian research · 2025Article
- Study and validation on mitochondrial and immune-related hub genes in gestational diabetes mellitus based on bioinformatics.Frontiers in endocrinology · 2025Article
- Potential diagnostic markers and therapeutic targets for obstructive sleep apnea with comorbid depression based on bioinformatics analysis.Frontiers in genetics · 2025Article
- A Study on the Analysis of Important Gene Networks and Pathways Involved in Progression of Endometriosis to Ovarian Endometrioma Cyst.Applied biochemistry and biotechnology · 2024Article
- Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response.Frontiers in immunology · 2024Article
- Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysis.Journal of assisted reproduction and genetics · 2023Article
- Identification of Key Genes Associated with Polycystic Ovarian Syndrome and Endometrial and Ovarian Cancer through Bioinformatics.Journal of human reproductive sciencesArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePolycystic ovary syndrome (PCOS) is a common endocrine disorder with high incidence. Recently it has been implicated as a significant risk factor for endometrial cancer (EC). Our study aims to detect shared gene signatures and biological mechanism between PCOS and EC by bioinformatics analysis.
methodsBioinformatics analysis based on GEO database consisted of data integration, network construction and functional enrichment analysis was applied. In addition, the pharmacological methodology and molecular docking was also performed.
resultsTotally 10 hub common genes, MRPL16, MRPL22, MRPS11, RPL26L1, ESR1, JUN, UBE2I, MRPL17, RPL37A, GTF2H3, were considered as shared gene signatures for EC and PCOS. The GO and KEGG pathway analysis of these hub genes showed that "mitochondrial translational elongation", "ribosomal subunit", "structural constituent of ribosome" and "ribosome" were highly correlated. Besides, associated transcription factors (TFs) and miRNAs network were constructed. We identified candidate drug molecules including fenofibrate, cinnarizine, propanil, fenthion, clindamycin, chloramphenicol, demeclocycline, hydrochloride, azacitidine, chrysene and artenimol according to these hub genes. Molecular docking analysis verified a good binding interaction of fenofibrate against available targets (JUN, ESR1, UBE2I).
conclusionGene signatures and regulatory biological pathways were identified through bioinformatics analysis. Moreover, the molecular mechanisms of these signatures were explored and potential drug molecules associated with PCOS and EC were screened out.
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