Liu et al. [16] identified twelve proteins [p-CREB(Ser133), p-ERK1/2(Thr202/Tyr204), Cyclin B1, p-PDK1(Ser241), CDK4, CDK2, HSP90, CDC2p34, β-catenin, EGFR, XIAP and PCNA] which can distinguish normal and tumor samples with 97% accuracy and four proteins (CDK4, HSP90, p-CREB and CREB) which can be used to calculate the risk score of each individual patient with NSCLC to predict survival. The gene discussed is PCNA; the disease is neoplasm.