Exosome-Enriched Hub Gene Networks Identify Diagnostic Biomarkers and Repurposable Therapeutic Targets in Endometriosis

富含外泌体的枢纽基因网络可识别子宫内膜异位症的诊断生物标志物和可重新利用的治疗靶点

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Abstract

Endometriosis is a heterogeneous chronic inflammatory disorder associated with substantial diagnostic delay and limited therapeutic options, highlighting the need of robust non-invasive biomarkers and actionable molecular targets to complement existing low-sensitivity tests. To identify conserved pathogenic mechanisms with translational potential, here, we uniformly reprocessed three independent the Gene Expression Omnibus (GEO) microarray cohorts (GSE7305, GSE25628, and GSE11691) and applied a strict, directionally consistent intersection strategy to identify conserved transcriptional signals. We identified 262 consensus differentially expressed genes enriched for immunity/inflammation, cell adhesion and migration, and angiogenesis, consistent with key biological hallmarks of lesion establishment and persistence. Protein-protein interaction topology prioritized 11 highly connected hub genes (VCAM1, CCL2, MCAM, CD14, CD24, FGFR1, SIRPA, CSF1R, S100A9, S100A8, and LY96) that likely act as an integrated immune-adhesion-angiogenesis axis. Notably, 63/262 (24%) of the consensus genes were annotated to the extracellular exosome compartment, supporting their translational relevance as liquid-biopsy candidates. Finally, connectivity mapping using the LINCS L1000 framework nominated small-molecule perturbagens predicted to reverse the endometriosis-associated signature, providing a rational starting point for drug-repurposing experiments. In conclusion, this study elucidates a conserved immune-adhesion-angiogenesis axis driven by an 11-gene hub network in endometriosis. These core regulators represent promising candidates for the development of non-invasive liquid biopsies and precision, non-hormonal therapeutics.

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