ArticleFrontiers in cell and developmental biology2026
Uncovering the immune-related PCD genes in chronic rhinosinusitis with nasal polyps inflammatory progression: a machine learning and functional validation study.
Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: This research aimed to explore key immune-related programmed cell death (PCD) genes and associated molecular mechanism on chronic rhinosinusitis with nasal polyps (CRSwNP), which further providing new perspectives for disease prognosis and therapy. Method: The microarray data were downloaded from the public GEO database. The immune-related PCD genes (co-genes) were identified based on DEGs of CRSwNP vs. normal, immune cells explored by WGCNA as well as PCD genes from published articles, followed by enrichment and PPI network analysis. Important signature genes were screened using machine learning methods, followed by nomogram validation. Then, the immune infiltration, GSEA pathway, target drug and clustering analysis associated with signature genes were further investigated. Finally, validation analysis based on clinical samples were performed to test the expression of signature genes. Results: A total of 54 co-genes were revealed based on 518 DEGs, 1127 immune genes and 520 PCD genes. By three kinds of machine learning analysis, totally five signature genes including Conclusion:
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