基于GEO数据库的HPV阳性口咽癌特征基因生物信息学研究

目的 通过分析HPV阳性与阴性口咽癌患者基因芯片数据，寻找差异基因及其关键通路，区分不同HPV感染状态下口咽癌的分子表达特征基因谱。方法 利用GEO数据库中高通量基因芯片数据库筛选出口咽癌患者具有HPV感染状态信息的芯片。采用GO基因功能注释和KEGG通路富集分析，筛选出可表征不同HPV感染状态口咽癌生物特性的特征基因簇和通路，并进行蛋白质相互作用网络可视化分析。结果 经差异基因分析后，发现HPV感染状态可影响口咽癌的生物学特征，并显著改变一些重要的肿瘤信号通路，如Wnt信号通路和PI3K-Akt信号通路等。结论 本研究利用生物信息学方法，从多种角度定义了口咽癌不同HPV感染状态下的分子表达特征，为口咽癌的精准治疗提供理论依据。

Study on the HPV-positive Oropharyngeal Cancer Features Gene Based on GEO Database by Bioinformatics

OBJECTIVE To examine the differentially expressed genes and pathways, and detected the different gene expression profiles by analyze the microarray data of both HPV-positive and HPV-negative oropharyngeal cancer patients.METHODS First selected the gene expression profiles of HPV-positive and HPV-negative oropharyngeal cancer patients in GEO database. Then, screened the differentially expressed gene cluster and pathways of HPV-positive and HPV-negative oropharyngeal cancer by GO gene functional annotation and KEGG pathway enrichment analysis, and finally conducted the visualization analysis of protein interaction network.RESULTS HPV infection had affected the biological characteristics of oropharyngeal cancer, and significantly altered some important tumor signaling pathways, such as Wnt and PI3k-Akt signaling pathways.CONCLUSION This study has employed bioinformatics method from various perspectives to define the gene expression characteristics of different HPV infection in oropharyngeal cancer, and provides theoretical basis for accurate treatment of oropharyngeal cancer.