Prognostic scoring system using inflammation- and nutrition-related biomarkers to predict prognosis in stage I-III colorectal cancer patients

Figure 1 Feature selection based on least absolute shrinkage and selection operator regression. A: LASSO coefficient profile; B: The optimal penalty parameter (λ) in the LASSO model determined by 10-fold cross-validation and the minimum criteria in the training set.

Figure 2 Risk score analysis. A: Receiver operating characteristic curve of the risk score; B: Survival analysis of the risk score.

Figure 3 Survival nomogram for predicting the 1-year, 3-year, and 5-year survival rates of colorectal cancer patients.

Figure 4 The area under the curves for 1-, 3-, and 5-year overall survival. A: Training cohort; B: Validation cohort. AUC: Area under the curves.

Figure 5 Calibration curves of the nomogram model for survival prediction in the training and validation cohorts. A-C: Calibration curves for 1-year, 3-year, and 5-year overall survival (OS) in the training cohort; D-F: Calibration curves for 1-year, 3-year, and 5-year OS in the validation cohort.

Figure 6 Decision curve analysis of the survival nomogram for predicting overall survival. A-C: Decision curve analysis for 1-year, 3-year, and 5-year overall survival (OS) in the training cohort; D-F: Decision curve analysis for 1-year, 3-year, and 5-year OS in the validation cohort.