Univariable and multiple Cox regression were employed to R software. Survival curves were generated by the K-M plots. The results of Kaplan- Meier plots were displayed with HR and P-values a log-rank test. P-value < 0.05 was considered to be significant. Hazard ratio (HR) and 95% confidence interval (CI) were calculated to identify low risk (HR < 1) or high-risk factors (HR > 1). And the median value of PI was considered as cut-off value for high-risk and low-risk group. In this study, The ROC curve analysis was conducted by the survival ROC package, and the area under the curve (AUC) was calculated to measure the predictive accuracy of this prognostic signature for time-dependent cancer death.

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