Adding classic tumor biomarkers (CA19-9, CEA, CYFRA21-1), then the final model consisted of 9 variables (ApoA2, Lp(a), C3, Fg, Cit, GDCA, TCDCA, CYFRA21-1, NSE), and the AUC increased to 0.871 (95%CI: 0.814 ~ 0.918) with accuracy of 81.82%, sensitivity of 77%, and specificity of 86%. The gene discussed is GNAT3; the disease is neoplasm.