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The average intensity and quantity scores for the three cores were then multiplied yielding a 10-point immunohistochemical score ranging from 0 (no staining) to 9 (extensive, strong staining) for each case. For Ki-67, the percentage of the positively stained cells among the total number of the tumor cells in the area was scored [15]. For p-ERK and Ki-67, the proportion of cells showing a positive nuclear stain was considered as positive staining. Statistical analysis All statistical analyses were performed using the statistical package SPSS, version 22 (SPSS Inc., Chicago, IL). The data were summarized using standard descriptive statistics and frequency tabulations. Wilcoxon matched-pairs signed rank test was used for comparison of the Spry1 expression between normal I-BET-762 ic50 and cancer tissue. Associations between the clinicopathological parameters and the Spry1 expression were evaluated using Spearman correlation coefficient testing. The same test was used to assess the correlation between the expression of Spry1 and other markers studied. Overall survival IOX1 (OS) and disease-free survival (DFS) analyses were carried out for the expression of Spry1. OS was defined as the time from surgery to death or to the end of the study and DFS was calculated from the date of surgery to recurrence or to the end of the study. The predictive value of Spry1 for OS and DFS was evaluated using the Kaplan-Meier method. Kaplan-Meier survival curves were constructed for patients with low and high levels of the Spry1 expression. The statistical significance between survival curves was assessed by the log-rank test. The binary cut-off points of the markers studied were identified using the Classification and Regression Tree (CART) algorithm which were near the median values. The Cox univariate and multivariate proportional hazard models with 95% confidence interval diglyceride (CI) were constructed to assess the independent predictive value of Spry1 in the presence of other clinicopathological variables. Receiver operating characteristic (ROC) curve analysis was also performed to determine the validity of cut-off points and also the sensitivity and specificity of the markers with significant predictive values. A P-value of

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