When Ki‐67 and tumor differentiation were further integrated into Model 2, the predictive efficiencies had a great increase with an AUC of 0.837 in the training set and 0.901 in the validation set (p = 0.002 and p < 0.001, Figure 2C,D, Table 4). The gene discussed is MKI67; the disease is neoplasm.