Wang Qiming, Cai Yan, Fu Xuewen, Chen Liang
Department of Gynecology, Ningbo Women & Children's Hospital, Ningbo, China.
School of Medicine, Ningbo University, Ningbo, China.
Front Oncol. 2021 Nov 2;11:752974. doi: 10.3389/fonc.2021.752974. eCollection 2021.
In recent years, the incidence and the mortality rate of cervical cancer have been gradually increasing, becoming one of the major causes of cancer-related death in women. In particular, patients with advanced and recurrent cervical cancers present a very poor prognosis. In addition, the vast majority of cervical cancer cases are caused by human papillomavirus (HPV) infection, of which HPV16 infection is the main cause and squamous cell carcinoma is the main presenting type. In this study, we performed screening of differentially expressed genes (DEGs) based on The Cancer Genome Atlas (TCGA) database and GSE6791, constructed a protein-protein interaction (PPI) network to screen 34 hub genes, filtered to the remaining 10 genes using the CytoHubba plug-in, and used survival analysis to determine that was most associated with the prognosis of cervical cancer patients and has prognostic and predictive value for cervical cancer. The most significant biological functions and pathways of enrichment were subsequently investigated with gene set enrichment analysis (GSEA), and integration of TCGA and GTEx database analyses revealed that was significantly expressed in most cancer types. In this study, our analysis revealed that can be used as a prognostic biomarker for HPV16 cervical cancer and has biological significance for the growth of cervical cancer cells.
近年来，宫颈癌的发病率和死亡率呈逐渐上升趋势，成为女性癌症相关死亡的主要原因之一。特别是晚期和复发性宫颈癌患者的预后非常差。此外，绝大多数宫颈癌病例是由人乳头瘤病毒（HPV）感染引起的，其中HPV16感染是主要原因，鳞状细胞癌是主要的呈现类型。在本研究中，我们基于癌症基因组图谱（TCGA）数据库和GSE6791进行差异表达基因（DEG）筛选，构建蛋白质-蛋白质相互作用（PPI）网络以筛选出34个枢纽基因，使用CytoHubba插件筛选至剩余10个基因，并通过生存分析确定 与宫颈癌患者的预后最相关，对宫颈癌具有预后和预测价值。随后通过基因集富集分析（GSEA）研究了 富集的最显著生物学功能和途径，整合TCGA和GTEx数据库分析显示 在大多数癌症类型中均有显著表达。在本研究中，我们的分析表明 可作为HPV16宫颈癌的预后生物标志物，对宫颈癌细胞的生长具有生物学意义。
