R statistical software version 3.6.3

The patients were divided into two groups according to the median expression of WDR76. The measurement data was statistically analyzed with t test or Mann–Whitney U test according to the data distribution. As for the numeration data, chi-square test or corrected chi-square test or the Fisher’s exact test was used, depending on the actual situation. Multiple testing correction was performed by Bonferroni method when testing WDR76 and immune cell markers in GEPIA. Kaplan–Meier curve and log-rank test were performed to analyze the survival impact of WDR76 expression. Survival outcomes included overall survival (OS), disease specific survival (DSS) and progress free survival (PFS). Cox regression analysis was performed to verify the effect of WDR76 expression on survival outcomes. All the above analysis was conducted by R statistical software (version 3.6.3) and SPSS software (version 24.0). Statistical significance was set at P value < 0.05 (All P values presented were 2-sided).

The patients were divided into two groups according to the median expression of TEDC2. The measurement data were statistically analyzed with t test if normally distributed. Otherwise, Mann–Whitney U test was used. The receiver operating characteristic (ROC) curve was used to evaluate the potential diagnostic value of TEDC2. Overall survival (OS), disease specific survival (DSS) and progress free survival (PFS) analyses were performed by Kaplan–Meier curve and log-rank test. Univariate and multivariable analyses were conducted by the Cox proportional hazards regression models to determine the prognostic value of TEDC2 in survival outcomes. Multivariate regression model included the factors that P value was less than 0.1 in univariate analysis. R statistical software (version 3.6.3) and SPSS software (version 24.0) were used to perform the analyses in the study. Statistical significance was set at P value < 0.05 (All P values presented were 2-sided).