Identification of Independent Prognostic Factors and Construction of the Nomogram

We analyze the association of risk scores with clinicopathological traits, including age, gender, grade, and pathologic stage. Then, univariate and multivariate Cox regression analysis was performed to identify important predictive clinical variables for the development of genome-clinicopathologic nomogram to predict individual survival probability for GC patients. The nomogram was constructed by using R package “rms” and the accuracy of the nomogram was assessed via ROC and calibration curves. Moreover, we also investigated whether the risk score could affect the OS of patients in distinct clinical subgroups by log-rank test.