The multiple regression analyses revealed that the tumor diameter and CEA could predict the R2 value as follows (Equation (1)):[R2 predictive index] = 27.27 − 7.90×10−2 × [Tumor diameter (mm)] − 1.31 × [CEA (ng/mL)](1). The gene discussed is CEACAM5; the disease is neoplasm.