**Figure 1.** **Demographic and clinicopathological characteristics screening applying the LASSO logistic regression model.** Final predictors include age, race, sex, extension, multifocality, tumor size. (**A**) Suitable parameter (λ) selection in the LASSO model used 5-fold cross-validation via minimum criteria [38–40]. We plotted the partial likelihood deviance (binomial deviance) curve versus log (λ). 2 dotted vertical lines were drawn at the optimal values applying the minimum criteria and the 1 standard error of the minimum criteria (the 1-SE criteria). (**B**) LASSO coefficient profiles of the 6 variables. We produced a coefficient profile plot against the log (λ) sequence. A suitable λ was chosen when log (λ)= -5 and resulted in 6 variables with nonzero coefficients. LASSO=least absolute shrinkage and selection operator, SE=standard error.