ArticleBMC genomic data2022
Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis.
Article in BMC genomic data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Exploration of the core protein network under endometriosis symptomatology using a computational approach.Frontiers in endocrinology · 2022Pooled it
- Expression Profiling of Immune-Related Genes in Different Samples from Patients with Endometriosis Revealed Upregulation ofInternational journal of molecular sciences · 2026Article
- Eutopic Endometrium Immune Changes Involved in Development and Progression of Endometriosis: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Immune dysregulation in endometriosis: the T cell perspective.Frontiers in immunology · 2026Review
- Exploring the Genetic Influence of Protein Tyrosine Phosphatase Non-Receptor Type 22 (PTPN22) on Inflammatory Biomarkers in Endometriosis Progression.Journal of family & reproductive health · 2025Article
- The Role of the Microbiome in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Integration of Single Cell and Bulk RNA-Sequencing Reveals Key Genes and Immune Cell Infiltration to Construct a Predictive Model and Identify Drug Targets in Endometriosis.Journal of inflammation research · 2025Article
- Exploring the therapeutic potential of H1-antihistamines in endometriosis-A gene regulation-based perspective.Frontiers in medicine · 2025Article
- Identification of potential biomarkers associated with immune cell infiltration patterns in Kawasaki disease via bioinformatics.PloS one · 2025Article
- Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.Journal of biological engineering · 2024Article
- Mining phase separation-related diagnostic biomarkers for endometriosis through WGCNA and multiple machine learning techniques: a retrospective and nomogram study.Journal of assisted reproduction and genetics · 2024Article
- Relaxed fibronectin: a potential novel target for imaging endometriotic lesions.EJNMMI research · 2024Article
- Machine learning algorithms for a novel cuproptosis-related gene signature of diagnostic and immune infiltration in endometriosis.Scientific reports · 2023Article
- FN1 mediated activation of aspartate metabolism promotes the progression of triple-negative and luminal a breast cancer.Breast cancer research and treatment · 2023Article
- Molecular Mechanisms of Endometriosis Revealed Using Omics Data.Biomedicines · 2023Review
- Pattern-recognition receptors in endometriosis: A narrative review.Frontiers in immunology · 2023Review
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Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study explored the key genes related to immune cell infiltration in endometriosis.
resultsThe Gene Expression Omnibus (GEO) datasets (GSE7305, GSE7307, and GSE11691), containing a total of 37 endometriosis and 42 normal tissues, were retrieved and analyzed to determine the differentially expressed genes (DEGs). Gene ontology (GO) annotations and Kyoto Encyclopedia of Genes (KEGG) analysis were performed to identify the pathways that were significantly enriched. The xCell software was used to analyze immune cell infiltration and correlation analyses were performed to uncover the relationship between key genes and immune cells. The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matrix organization, collagen-containing extracellular matrix, and glycosaminoglycan binding and KEGG enrichment showed genes related to metabolic pathways, pathways in cancer, phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling, proteoglycans in cancer, and the mitogen-activated protein kinase (MAPK) signaling pathway. Furthermore, the protein-protein interaction network revealed 10 hub genes, i.e., IL6, FN1, CDH1, CXCL8, IGF1, CDK1, PTPRC, CCNB1, MKI67, and ESR1. The xCell analysis identified immune cells with significant changes in all three datasets, including CD4
conclusionsAberrant gene expression was related to abnormal infiltration of different immune cells in endometriosis and was associated with endometriosis development by affecting the tissue microenvironment and growth of ectopic endometrial cells.
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Registered trials
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