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The ROC curve was displayed with SPSS 22.0. In all http://www.selleckchem.com/products/E7080.html tests, statistical significance was considered at P value less than 0.05. The present study was performed on a total of 225 patients with different liver diseases and 104 healthy subjects. Table 1 shows the major attributes of the subjects enrolled. Statistical distribution of the three tested tumor markers in every group was Kolmogorov�CSminov test with Z?=?0.156�C0.517, P? http://en.wikipedia.org/wiki/PIK-3 in comparison with patients without HCC were plotted. The areas under the curves of the three tested tumor markers were: AFU: 0.718 (95% CI: 0.662�C0.774, P? http://www.selleckchem.com/screening/ion-channel-ligand-library.html regression equation of the serum concentrations of APU, AFP and TK1. Logit (P)?=??3.331?+?0.013?��?AFU?+?0.05?��?AFP?+?0.680?��?TK1. The model was founded with logistic regression, and the ROC curve was fitted through the PRE of the model ( Fig. 1). Among the AUCs of the three tumor markers with predicted probability connected with single tumor marker and logistic regression curve, when three tumor markers were tested separately, the AUC of AFP was the highest, followed by that of TK1, and the AUC of AFU was the lowest. Yet, the three tumor markers combined in the logistic regression model was higher than that of every tumor marker tested separately. Sensitivity, specificity, Youden��s index (sensitivity?+?specificity???1) and diagnostic accuracy (Table 4) of AFU, AFP and TK1 were calculated according to the ROC curves and the logistic regression. Conjoint analysis: regarding AFP as the basic indicator, on the basis of which the indicators of AFU, AFP and TK1 were analyzed jointly. The specificity of the combination of the rest indicators was increased while the rest indicators, such as sensitivity and so on, were decreased evidently. The serum level of AFP has been commonly used as a traditional method for early diagnosis of HCC in China [13].