SETD2 and neoplasm: By using the ROC area under curve (AUC) analysis, the optimal cutoff value for tumor size in predicting HIF-1 α-high PDACs was found to be 3.35 (AUC = 0.700, 95% CI 0.60–0.80, 80.4% specificity, and 57% sensitivity) and in predicting GLUT1-high PDACs, it was 3.45 (AUC = 0.715, 95% CI 0.62–0.82, 82.4% specificity, and 51% sensitivity) (Figure 4).