Novel Diagnostic Biomarker BST2 Identified by Integrated Transcriptomics Promotes the Development of Endometriosis via the TNF-α/NF-κB Signaling Pathway
Integrated transcriptomics identified BST2 as a potential diagnostic biomarker in endometriosis, with its overexpression promoted by TNF-α and potentially driving disease via the TNF-α/NF-κB pathway.
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This study used integrated transcriptomics on multiple public endometriosis expression datasets (34 normal, 127 eutopic, and 46 ectopic endometrium samples) followed by in vitro experiments in primary endometrial stromal cells to investigate mechanisms and biomarker candidates. Bioinformatic analyses highlighted dysregulated immune-inflammation and tissue remolding pathways, and among upregulated genes, BST2 was selected as a potential diagnostic biomarker associated with r-AFS stage and immune-inflammation processes; BST2 was also confirmed to be upregulated at RNA and protein levels in endometriosis tissues. TNF-α increased BST2 expression in stromal cells, and BST2 knockdown reduced migration, invasion, adhesion, and inflammatory readouts (while not affecting proliferation), suggesting involvement of the TNF-α/NF-κB pathway. This paper explicitly focuses on endometriosis (not adenomyosis) by identifying BST2 as a diagnostic/therapeutic target linked to TNF-α/NF-κB-driven immune-inflammation and tissue remodeling.
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Cited by (4)
- Precision Therapeutic and Preventive Molecular Strategies for Endometriosis-Associated Infertility 2025
- Combined with bioinformatics and machine learning, the diagnostic model, Immunological features and subtypes of stage IV endometriosis with infertility were analyzed 2024
- Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis 2024
- Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next-generation sequencing data analysis 2024
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