Expression and clinical significance of ZNF580 mRNA in hepatocellular carcinoma: An analysis based on The Cancer Genome Atlas database

Objective To establish and validate a nomogram for overall survival(OS) of patients after hepatectomy for hepatocellular carcinoma(HCC). Methods A retrospective analysis was performed for the clinical data of 1013 patients who underwent hepatectomy for HCC in The Affiliated Tumor Hospital of Guangxi Medical University from February 2004 to October 2013. These patients were randomly divided into training cohort with 710 patients and validation cohort with 303 patients. For the training cohort,the Cox proportional hazards model was used to determine independent risk factors and a nomogram was established to predict 1-,3-,and 5-year survival rates. The performance of this nomogram was evaluated by internal verification within the training cohort and external verification of the validation cohort,as well as C-index,receiver operating characteristic(ROC) curve,and calibration curve. The independent samples t-test was used for comparison of continuous variables between groups,and the chi-square test or the Fisher's exact test was used for comparison of categorical variables between groups. The Cox proportional hazards model was used for univariate and multivariate analyses. Results The 1-,3-,and 5-year OS rates in the training cohort were 0. 72,0. 48,and 0. 34,respectively,and those in the validation cohort were 0. 66,0. 45,0. 32,respectively. The univariate and multivariate analyses showed that age,number of tumors,tumor diameter,tumor capsule,vascular invasion,microsatellite lesion,aspartate aminotransferase(AST),and alpha-fetoprotein(AFP) were the influencing factors for OS in patients after hepatectomy for HCC(all P < 0. 05),and such factors were used to establish a nomogram model. In the training cohort,the C-index for predicting OS was 0. 748(95% confidence interval [CI]: 0. 712-0. 784); the calibration curve of 1-,3-,and 5-year survival rates showed that the predicted value of the nomogram was in good consistency with the actual values observed; this nomogram model had an area under the ROC curve of 0. 81(95% CI: 0. 76-0. 87),0. 82(95% CI: 0. 77-0. 88),and 0. 79(95% CI: 0. 71-0. 88),respectively,in predicting the 1-,3-,and 5-year survival rates. In the validation cohort,the C-index was 0. 712(95% CI: 0. 685-0. 739); the calibration curve of 1-,3-,and 5-year survival rates showed that the predicted value of the nomogram was in good consistency with the actual values observed; this nomogram model had an area under the ROC curve of 0. 75(95% CI: 0. 71-0. 79),0. 77(95%CI: 0. 73-0. 81),and 0. 74(95% CI: 0. 68-0. 80),respectively,in predicting the 1-,3-,and 5-year survival rates. Conclusion The nomogram established in this study can effectively predict OS in patients after hepatectomy for HCC.