Spss 19.0 software system

Statistical Package for the Social Sciences (SPSS) 19.0 software system (IBM Corporation, Armonk, NY, USA) was used for statistical analysis. All values were described as mean ± standard deviation. The Student’s t-test was used for comparisons between groups. A chi-square test was applied to determine the association of HULC levels with clinicopathological features. Overall survival (OS) was the time interval from the date of surgery to death from glioma or to the most recent follow-up. Survival curves were estimated with the Kaplan–Meier method, and differences were compared using the log-rank test. Univariate and multivariate analyses were performed using Cox proportional hazards regression models, and hazard ratios (HRs) for variables corresponding to OS were calculated. And a two-sided P-value of <0.05 was considered statistically significant.

SPSS 19.0 software system (IBM, SPSS, Chicago, IL, USA) was used for statistical analysis of experimental data. Counting data were expressed as [n (%)], and the Chi-square test was used for inter-group comparisons. Measurement data were expressed as (mean ± SD). Inter-group comparisons were conducted by an independent sample t-test, and comparisons between groups were conducted by the paired t-test. P<0.05 indicated statistically significant differences.

SPSS 19.0 software system (IBM Corp., Armonk, NY, USA) was used for statistical analysis of experimental data. Enumeration data were expressed as [n (%)], and Chi-square test was used for comparison between groups. Measurement data were expressed as (mean ± SD), and independent sample t-test was used for comparison between groups. Pearson's correlation coefficients were used to analyze the correlation of bivariate normal distribution data. P<0.05 was considered to indicate a statistically significant difference.

The statistical analysis of the experimental data was performed by SPSS 19.0 software system (IBM Corp., Armonk, NY, USA). The enumeration data are expressed as [n (%)]. Chi-square test was used for the comparison between groups and mean ± SD was used to represent the measurement data. Paired t-test was used for comparison between the groups. One-way analysis of variance (ANOVA) and LSD post hoc test were used for comparisons between the means of multiple groups. The correlation between the expression levels of RUNX3 and miR-363 with the clinical stage and degree of differentiation was based on the Spearman correlation coefficient. The sensitivity and specificity of individual and combined tests were assessed using the receiver operating curve (ROC). The diagnostic value of RUNX3 and miR-363 combined test of colorectal cancer was analyzed by binary logistic regression. P<0.05 was considered to indicate a statistically significant result.

SPSS19.0 software system (IBM, SPSS, Chicago, IL, USA) was used for data analysis. Measurement data were expressed as mean ± SD and tested by t-test. Count data were expressed as % and tested by Chi-square test. The level of significance is α=0.05.