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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Issue 7
Jul.  2018
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Association between the expression of centromere protein F and prognosis in patients with hepatocellular carcinoma:An analysis using GEO database

DOI: 10.3969/j.issn.1001-5256.2018.07.022
  • Received Date: 2018-01-11
  • Published Date: 2018-07-20
  • 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.

     

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