Prism v 8.0 for windows

Statistical analysis of tumor growth or cytokine release was conducted using area under the curve (AUC). Two-tailed Student’s t-test was used to determine statistical difference between two sets of data, while one-way analysis of variance with Tukey’s post-hoc test was used to determine statistical differences among three or more sets of data. All statistical analyses were performed using GraphPad Prism V.8.0 for Windows (GraphPad Software, La Jolla, California; www.graphpad.com). P<0.05 was considered statistically significant. Asterisks indicate that the experimental p value is statistically different from the associated controls at *p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001.

In vivo antitumor effect was compared by tumor growth curves and survival curves. Area under curves (AUCs) of tumor growth were calculated and compared among groups. Differences between groups indicated in the figures were tested for statistical significance by two-tailed Student’s t-test for two sets of data while one-way analysis of variance with Tukey’s post hoc test was used to compare data among three or more groups. All statistical analyses were performed by using GraphPad Prism V.8.0 for Windows (GraphPad Software, La Jolla, California, USA, www. graphpad. com). A p<0.05 was considered statistically significant. Asterisks indicate that the experimental p value is statistically significantly different from the associated controls at *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001.

Statistical analyses of tumor growth and in vitro cytokine release were conducted using area under the curves to obtain numerical values that integrated all parts of the growth curve of tumors. Two-tailed Student’s t-test was used to determine statistical difference between two sets of data, while one-way analysis of variance with Tukey’s post hoc test was used to determine statistical differences among three or more sets of data. All statistical analyses were performed using GraphPad Prism V.8.0 for Windows (GraphPad Software, La Jolla, CA, www. graphpad. com). A p<0.05 was considered statistically significant. Asterisks indicate that the experimental p value is significantly different from the controls at *p<0.05; **p<0.01; ***p<0.001, ****p<0.0001.

Continuous variables are presented as median (IQR) and categorical as N (%). Comparison of categorical variables among groups was performed using Fisher’s exact test. Sensitivity analyses were carried out using the leave-one-out approach. Follow-up duration was calculated with the reverse Kaplan-Meier method. disease-free survival (DFS), overall survival (OS) and disease-specific survival (DSS) were defined as the interval between the date of operation and the date of recurrence, any death, or disease-specific death, respectively (event), or the date of last follow-up (censored). Survival curves were plotted using the Kaplan-Meier method. Differences in DFS, OS, and DSS among groups were analyzed by the log-rank test. Multivariable survival analyses were performed using a stepwise backward Cox proportional hazards survival model. The assumption of proportionality for variables included in the Cox analysis was verified by graphical assessment of Kaplan-Meier curves. A p<0.05 was considered statistically significant. All tests were two-tailed. Statistical analyses were performed with StataSE V.15 (StataCorp) and GraphPad Prism, V.8.0 for Windows (GraphPad Software, La Jolla, California, USA).