EBV Reactivation-associated gene signature predicts poor prognosis in nasopharyngeal carcinoma.

EBV 再激活相关基因特征可预测鼻咽癌预后不良

阅读:13
作者:Luo Qingshuang, Long Jingyi, Hu Longtai, Alsaadawe Moyed, Faleti Oluwasijibomi Damola, Lyu Xiaoming
BACKGROUND: Epstein-Barr virus (EBV) reactivation is closely associated with poor prognosis in nasopharyngeal carcinoma (NPC). However, the molecular mechanisms underlying EBV reactivation in NPC progression remain unclear. This study aimed to identify key genes and pathways involved in EBV reactivation using an integrated multi-omics approach. METHODS: An in vitro EBV reactivation model was established to investigate molecular changes associated with viral reactivation. Transcriptomic (RNA-seq) and proteomic (LC-MS/MS) analyses were performed to identify differentially expressed genes. Functional enrichment, protein-protein interaction network analysis, and survival analysis were conducted to elucidate the biological significance of key genes. RNA-seq data from NPC patients (GSE102349) were analyzed to assess the association between EBV reactivation (BZLF1 expression) and clinical outcomes. RESULTS: A ten-gene signature (PLAUR, SBSN, LAMC2, CDC42EP1, F3, S100A, CYP24A1, KRT6B, PTGS2, and NQO1) was identified as significantly associated with EBV reactivation. These genes are involved in epithelial-mesenchymal transition (EMT), metabolic reprogramming, and hypoxia response. Pathway analysis highlighted their roles in complement and coagulation cascades, laminin interactions, keratin complex formation, and metabolic regulation, all of which contribute to EMT. Additionally, analysis of NPC patient data (GSE102349) revealed a correlation between BZLF1 expression and poor prognosis. CONCLUSIONS: This study identifies a novel prognostic gene signature associated with EBV reactivation in NPC through integrated multi-omics analyses, which provided insights into the molecular mechanisms of NPC progression. These findings suggest potential diagnostic and therapeutic targets for improving NPC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。