Spss 16.0 software for windows

All statistical tests were performed with SPSS 16.0 for Windows software (SPSS, Chicago, IL, USA). OS was calculated between the first diagnosis of ESCC and death, or the date of the last follow-up. Data were expressed as the mean and standard deviation (mean ± SD), and the correlation between ApoA-I and clinical characteristics was assessed using the Mann–Whitney U test and χ² test. The differences between ESCC patients and healthy donors were compared using the unpaired Student’s t-test. Univariate and multivariate analyses of clinical variables were performed using Cox proportional hazards regression models. The results of this survey were analyzed using the Kaplan–Meier survival curves with the log-rank test and proportional hazard model. The correlation between ApoA-I and alcohol index was analyzed using the Spearman rank correlation test. P values < 0.05 were regarded as indicating statistically significant differences. All reported P values are two sided.

All experiments were performed at least 3 times. The results are presented as the mean ± standard deviation (SD). The data were analysed using SPSS 16.0 for Windows software (SPSS, Inc., Chicago, IL). One-way analysis of variance (ANOVA) was performed to identify statistical differences.

Analysis of variance was conducted by SPSS16.0 for Windows software (SPSS 249 Inc, Chicago, IL, USA). The long-term and short-term experiments were conducted separately and the data were dealt separately. Differences among the B-treatments were identified using the least significant difference test (LSD) at the P < 0.05 level. Expression data were normalized with the expression level of the actin by the 2 $2^{-\Delta \Delta C}{}_{\text{T}}$ method (Livak and Schmittgen, 2001 (link)).

Data were analyzed by SPSS 16.0 for Windows software (SPSS, Chicago, IL, United States). One-way analysis of variance (ANOVA) with post hoc multiple comparison by Student–Newman–Keuls test was used to analyze differences of data from three groups. Student’s t-test was used to analyze differences of data from two groups. The level of significance was set at P < 0.05. All data were presented as means ± standard error of the mean (SEM).

Statistical analysis was performed with SPSS 16.0 for Windows software (SPSS, Chicago, IL, USA). Relationships between CCL27 protein expression and clinicopathologic features were analyzed by the Mann–Whitney U test. Comparison of CCL27 concentrations and EBV DNA copies between groups was assessed using the Kruskal–Wallis test. The diagnostic value of CCL27 was assessed by area under the receiver operating characteristic (ROC) curve (AUC). The cut-off value for CCL27 discrimination was defined by maximization of the Youden index. P values <0.05 were considered statistically significant. All reported P values are two sided.

Statistical analysis of the data was performed using SPSS 16.0 for Windows software (SPSS, Chicago, IL, USA). The relationship between different variables was analyzed by power law function. The difference of root morphological indices and peak pull force between VPT test and OPT test was tested by independent sample T test. Figures were drawn by Excel 2007 (Microsoft Corporation).