Investigation of the shared gene signatures and molecular mechanisms between obstructive sleep apnea and nasopharyngeal carcinoma via integrated bioinformatics analysis

This dataset contains the raw and processed gene expression data used in the study investigating the shared molecular mechanisms between nasopharyngeal carcinoma (NPC) and obstructive sleep apnea (OSA). The data includes:Microarray datasets from the Gene Expression Omnibus (GEO) database (GSE12452 for NPC, GSE135917 for OSA, and validation datasets GSE38792 and GSE53819).Differentially expressed genes (DEGs) identified using the Limma package.Weighted gene co-expression network analysis (WGCNA) results, including gene modules associated with NPC and OSA.Shared genes between NPC and OSA, enriched in pathways such as ribosome biogenesis and RNA degradation.Hub genes (DDX52 and SUMO1) identified through protein-protein interaction (PPI) network analysis and validated for diagnostic performance using ROC curves.Immune infiltration analysis using CIBERSORT, showing correlations between hub gene expression and immune cell populations.Gene set enrichment analysis (GSEA) results, highlighting pathways associated with high expression of DDX52 and SUMO1.This dataset provides valuable insights into the shared molecular pathways between NPC and OSA, highlighting potential biomarkers (DDX52 and SUMO1) and therapeutic targets. The data is relevant for researchers in cancer biology, sleep medicine, and bioinformatics, and can be used for further validation studies or meta-analyses.