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

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:<b>Microarray datasets</b> from the Gene Expression Omnibus (GEO) database (GSE12452 for NPC, GSE135917 for OSA, and validation datasets GSE38792 and GSE53819).<b>Differentially expressed genes (DEGs)</b> identified using the Limma package.<b>Weighted gene co-expression network analysis (WGCNA)</b> results, including gene modules associated with NPC and OSA.<b>Shared genes</b> between NPC and OSA, enriched in pathways such as ribosome biogenesis and RNA degradation.<b>Hub genes</b> (DDX52 and SUMO1) identified through protein-protein interaction (PPI) network analysis and validated for diagnostic performance using ROC curves.<b>Immune infiltration analysis</b> using CIBERSORT, showing correlations between hub gene expression and immune cell populations.<b>Gene set enrichment analysis (GSEA)</b> 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.本数据集包含本研究用于探究鼻咽癌（nasopharyngeal carcinoma, NPC）与阻塞性睡眠呼吸暂停（obstructive sleep apnea, OSA）之间共通分子机制的原始及经处理的基因表达数据。所包含的数据内容如下： 1. 来自基因表达综合数据库（Gene Expression Omnibus, GEO）的微阵列（Microarray）数据集：涵盖用于鼻咽癌研究的GSE12452、用于阻塞性睡眠呼吸暂停研究的GSE135917，以及两份验证数据集GSE38792与GSE53819。 2. 借助Limma软件包鉴定得到的差异表达基因（differentially expressed genes, DEGs）。 3. 加权基因共表达网络分析（Weighted gene co-expression network analysis, WGCNA）结果，包含与鼻咽癌及阻塞性睡眠呼吸暂停相关的基因模块。 4. 鼻咽癌与阻塞性睡眠呼吸暂停的共通基因，该类基因富集于核糖体生物发生、RNA降解等通路。 5. 通过蛋白质-蛋白质相互作用（protein-protein interaction, PPI）网络分析鉴定得到的枢纽基因（hub genes）：DDX52与SUMO1，并通过ROC曲线验证了二者的诊断性能。 6. 采用CIBERSORT进行的免疫浸润分析结果，展示了枢纽基因表达与免疫细胞群之间的相关性。 7. 基因集富集分析（Gene Set Enrichment Analysis, GSEA）结果，揭示了与DDX52和SUMO1高表达相关的信号通路。 本数据集为解析鼻咽癌与阻塞性睡眠呼吸暂停的共通分子通路提供了宝贵研究见解，明确了潜在生物标志物（DDX52与SUMO1）及治疗靶点。本数据集适用于癌症生物学、睡眠医学及生物信息学领域的研究人员，可用于后续验证研究或荟萃分析。