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pmid:40591047
Identification of key biomarkers and potential therapeutic drugs in nasopharyngeal carcinoma based on comprehensive bioinformatics analysis.
Cong Fu · Lin Sun · Lili Zhang · Tong Zhou · Yanzhi Bi
Discover oncology · 2025 doi:10.1007/s12672-025-03047-4
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
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Complete file
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This study aimed to identify biomarkers associated with NPC by performing bioinformatic analysis on the GSE12452, GSE53819, and GSE64634 datasets from the GEO database. First, differentially expressed genes (DEGs) between NPC and normal nasopharyngeal tissues were screened. Then, these DEGs were subjected to RobustRank Aggregation analysis. Through Receiver Operating Characteristic (ROC) analysis and three machine-learning models, biomarkers such as DNAH5, ZMYND10, LRRC6, ARMC4, DNAI2, and DNALI1 were identified. Enrichment analysis was performed to uncover the common pathways of these biomarkers. Using the Comparative Toxicogenomics Database (CTD), target drugs for NPC were predicted based on these biomarkers. Additionally, immune infiltration analysis was carried out to study the relationship between these biomarkers and immune cells. A regulatory network was also constructed. 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