Nomogram-based prognostic stratification for resectable gastric signet-ring cell carcinoma and adenocarcinoma: A retrospective cohort study

Figure 2 Variable selection via least absolute shrinkage and selection operator Cox regression. A: Coefficient profiles of clinicopathological variables in the least absolute shrinkage and selection operator model. The upper x-axis indicates the number of non-zero coefficients, while the y-axis represents coefficient magnitudes. Nine variables were evaluated, including subtype, age, tumor location, tumor size, poor differentiation, perineural invasion, vascular invasion, post-treatment nodal margin stage, and adjuvant chemotherapy; B: Optimal lambda (λ) selection using 10-fold cross-validation (minimum criterion). The vertical dashed lines correspond to λminimum (left, minimizing cross-validated error) and λ1se (right, within one standard error of the minimum). The upper x-axis denotes retained variables after shrinkage. pTNM: Post-treatment nodal margin.