Home   About the Journal  Editorial Board  Online Journal   Publishing Ethics   Contact Us  Chinese Version
You are here:Home => Online Journal => 7期肝癌的诊断和治疗 => 肝脏肿瘤 => 利用GEO数据库分析肝细胞癌组织中着丝粒蛋白F基因的表达及其与预后的相关.
Association between the expression of centromere protein F and prognosis in patients with hepatocellular carcinoma: An analysis using GEO database
文章发布日期:2018年06月07日  来源:  作者:樊斌,张勇,李锦貌,等  点击次数:732次  下载次数:102次
Adjust font size:Small regular big

【Abstract】:Objective To investigate the association of the expression of centromere protein F (CENPF) with clinical features and prognosis in patients with hepatocellular carcinoma (HCC). Methods The online tool Oncomine was used to measure the expression of CENPF in HCC tissue and normal liver tissue. Related chip data (GSE14520) were downloaded from the GEO database of National Center for Biotechnology Information. The gene expression profile and related clinical data of 215 HCC tissue samples were collected, and these samples were divided into low CENPF expression group with 107 samples and high CENPF expression group with 108 samples. The expression of CENPF and related clinical information were analyzed. The t-test was used for comparison of continuous data between groups; the chi-square test was used for comparison of categorical data between groups; the log-rank (Mantel-Cox) test was used for survival analysis; the Cox proportional hazards model was used for univariate and multivariate analyses of survival data. Results The datasets demonstrated that HCC tissue samples had a significantly higher expression level of CENPF than normal liver tissue samples (t=12.217, P<0.001). The expression level of CENPF was associated with alpha-fetoprotein (AFP) level, tumor size, TNM stage, and metastasis risk (χ2=6.463, 4.338, 7.951, and 17.331, all P<0.05). The survival analysis showed that the patients with high CENPF expression had a significantly poorer prognosis than those with low CENPF expression (hazard ratio=1.92, 95% confidence interval: 1.24-2.96, P=0.005). The univariate Cox analysis showed that the prognosis of HCC patients was associated with AFP level, tumor diameter, liver cirrhosis, tumor stage, metastasis risk, and CENPF expression (all P<0.05); the multivariate Cox analysis showed that liver cirrhosis, tumor stage, and high CENPF expression were independent risk factors for the prognosis of HCC patients (all P<0.05). Conclusion High CENPF expression is associated with the progression of HCC, and CENPF might be used as a potential prognostic biomarker for HCC patients.
【Key words】:carcinoma, hepatocellular; centromere protein F; gene expression; prognosis

Mail address: Editorial Office of Journal of Clinical Hepatology, 519 Dongminzhu Street, Changchun, Jilin, China Postal code: 130061 Tel:+86-431-88782542/3542
Journal of Clinical Hepatology Copyright © 2009 - 2013 Lcgdbzz.org. All Rights Reserv 吉ICP备10000617号