Novel prognostic biomarkers in nasopharyngeal carcinoma unveiled by mega-data bioinformatics analysis

• DOI: 10.3389/fonc.2024.1354940
• Publication Date: 2024-05-24T04:55:46Z
• Authors: Yishuai Tan; Jiao Zhou; Kai Liu; Ruowu Liu; Jing Zhou; Zhenru Wu; Linke Li; Jiaqi Zeng; Xuxian Feng; Biao Dong; Jintao Du
• Keywords: KEGG

Nasopharyngeal carcinoma (NPC) is commonly diagnosed at an advanced stage with a high incidence rate in Southeast Asia and China. However, the limited availability of NPC patient survival data public databases has resulted less rigorous studies examining prediction through construction Kaplan-Meier curves. These have primarily relied on small samples patients progression-free (PFS) information or from head neck squamous cell (HNSCC) almost without patients. Thus, we coanalyzed RNA expression profiles eleven datasets (46 normal (control) vs 160 tumor (NPC)) downloaded Gene Expression Omnibus (GEO) database provided by Jun Ma Sun Yat-sen University. Then, differential analysis, gene ontology (GO) enrichment, Kyoto Encyclopedia Genes Genomes (KEGG) pathway analysis network were performed using STRING database. After that, 2142 upregulated differentially expressed genes (DEGs) 3857 downregulated DEGs screened. Twenty-five them identified as hub genes, which enriched several pathways (cilium movement, extracellular matrix structural constituent, homologous recombination cycle). Utilizing comprehensive dataset amassed GEO database, conducted subsequently constructed models. Seven (RASGRP2, MOCOS, TTC9, ARHGAP4, DPM3, CD37, CD72) closely related to prognosis NPC. Finally, qRT-PCR, WB IHC confirm elevated RASGRP2 decreased DPM3 consistent DEG analysis. Conclusively, our findings provide insights into novel prognostic biomarkers mega-data bioinformatics suggests that they may serve special targets treatment