ArticlePloS one2025
Using systems biology and drug repositioning approaches to discover FDA-approved drugs candidates for endometriosis treatment.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
2 citing papers in PubMed.
- Endometriosis as a Systemic and Complex Disease: Toward Phenotype-Based Classification and Personalized Therapy.International journal of molecular sciences · 2026Review
- A Drug Repurposing Strategy for a New Cause of Endometrial Infertility: Unveiling Promising New Treatments.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometriosis is characterized by the presence of endometrial tissue outside the uterine cavity. The administration of drugs designated for this condition has significant adverse effects, such as signs of estrogen insufficiency and suppression of ovulation. Considering this issue, this study aims to employ drugs repurposing approaches for the treatment of endometriosis. The GSE120103 dataset was selected to assess the expression of genes involved in endometriosis, then differentially expressed genes (DEGs) were identified using the "Limma" package in R Studio. Functional and pathway enrichment analysis of 708 up-regulated and 414 down-regulated DEGs was performed using ShinyGO 0.81 and DAVID tools. the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) was then used to build a protein-protein interaction (PPI) network of up-regulated DEGs, followed by Cytoscape software to identify hub genes. Vascular endothelial growth factor receptor 2 (VEGFR2) and interleukin-6 (IL-6) were identified as hub genes, assessments suggested that VEGFR2 may be a more promising possibility for druggability than IL-6. 16 FDA-approved drugs targeting VEGFR2 were identified, and molecular docking analysis indicated that ponatinib (-9.6 kcal/mol) had a more favorable binding energy than the co-crystal ligand (-9.2 kcal/mol). Moreover, molecular dynamics (MD) simulation analysis demonstrated considerable stability of the VEGFR2-ponatinib complex over a 100 nanoseconds (ns) timescale. The findings of this study indicate that ponatinib may provide considerable therapeutic promise for the treatment of endometriosis. Nevertheless, additional experimental investigations are required to evaluate its therapeutic efficacy.
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Registered trials
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