Bioinformatics approach reveals the key role of C‑X‑C motif chemokine receptor 2 in endometriosis development

Aili Tan, Ruoyu Luo, Hua Liang, Mengru Li, Peng Ruan
Molecular medicine reports · 2018 · vol. 18(3) , pp. 2841–2849 · doi:10.3892/mmr.2018.9275 · PMID:30015967 · PMC6102705 · W2821398735
article OA: gold CC0 ⤵ 5 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-08 ⓘ

Bioinformatics analysis of endometrial tissue identified upregulated CXCR2, which in vitro experiments confirmed promotes proliferation, migration, and invasion of human endometrial stromal cells, implicating CXCR2 in endometriosis development.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-08 ⓘ

This study used a bioinformatics workflow to analyze the GSE6364 microarray dataset from endometrial biopsies of women with or without endometriosis, performing differential expression and pathway enrichment (GO, GSEA) and constructing a protein-protein interaction network. Among 172 differentially expressed genes, inflammatory response genes were upregulated and CXCR2 was identified as one of the most upregulated, leading to the focus on CXCR2 in downstream interpretation; caveats include the small sample size and reliance on one publicly available dataset plus in vitro validation. Functional assays in human endometrial stromal cells showed that CXCR2 increased proliferation, migration, and invasion, while CXCR2 knockdown via siRNA was performed to assess this role experimentally. This paper is centrally about endometriosis — it identifies CXCR2 as a key gene/pathway associated with endometriosis development and links it to stromal cell behavior and biomarker potential.

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Abstract

Endometriosis is a common gynecological disease, affecting 6‑10% of women of reproductive age. The precise mechanisms underlying the development of endometriosis remain unclear. In the present study, a bioinformatics approach was applied to systematically identify the pathways and genes involved in the development of endometriosis and to discover potential biomarkers. The gene expression profiles of GSE6364, a microarray dataset of endometrial biopsies obtained from women with or without endometriosis, was downloaded from the Gene Expression Omnibus DataSets database that stores original submitter‑supplied records (series, samples and platforms), as well as curated datasets. Differentially expressed gene (DEG) analysis was performed with GEO2R. DAVID was used to analyze the gene ontology enrichment of the DEGs. Gene Set Enrichment Analysis (GSEA) was conducted using the GSEA v3.0 software. Protein‑protein interactions (PPI) were evaluated with the Search Tool for the Retrieval of Interacting Genes, and PPI network visualization was performed with Cytoscape. In addition, Cell Counting kit‑8 and Transwell assays were performed on human endometrial stromal cells (HESCs). A total of 172 DEGs were extracted. Inflammatory response genes were significantly upregulated in the endometriosis tissues and C‑X‑C motif chemokine receptor 2 (CXCR2), was one of the most up‑regulated genes according to DEG analysis. Cell‑based experiments confirmed that CXCR2 promoted the proliferation, migration and invasion of HESCs. In conclusion, a bioinformatics approach combined with in vitro experiments in the present study revealed that CXCR2 may be associated with the development of endometriosis and has potential as a biomarker for the diagnosis of endometriosis.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Receptors, Interleukin-8B Adult Cell Movement Cell Proliferation Cells, Cultured Computational Biology Endometriosis Endometriosis Endometriosis Endometrium Endometrium Female Gene Expression Regulation Gene Regulatory Networks Gene Regulatory Networks Humans Middle Aged Protein Interaction Maps Protein Interaction Maps

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