The area under the ROC curve (AUC) revealed that, taken together, ERK1/2 T202/Y204, AKT S473/tot, mTOR S2448/tot, FAK Y397, P21 and BAX provide a very high prediction accuracy in classifying patients as stage IV T-LBL or T-ALL (AUC = 0.986; p = 0.0043, CI 95%: 0.945-1), with a high sensitivity (99.9%) and specificity (95.6%) selected on the optimal cut-off point provided by the Youden Index. The gene discussed is BAX; the disease is acute lymphoblastic leukemia.