Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study

Figure 1  Flow chart of the study.

Figure 2 Multivariable cox proportional hazards regression analysis of lymph node ratio staging system and pN staging system for overall survival in gastric cancer patients with different degrees of differentiation in the training set. A: Lymph node ratio staging system; B: pN staging system. WD: Well-differentiated; MD: Moderately differentiated; PD: Poorly differentiated; GC: Gastric cancer.

Figure 3 Multivariable cox proportional hazards regression analysis of lymph node ratio staging system and pN staging system for overall survival in gastric cancer patients with different degrees of differentiation in the validation set. A: Lymph node ratio staging system; B: pN staging system. WD: Well-differentiated; MD: Moderately differentiated; PD: Poorly differentiated; GC: Gastric cancer.

Figure 4 Specific staging content of the 8^th edition American Joint Committee on Cancer tumor node metastasis staging system, xTRM-W staging system, and xTRM-P staging system. A: American Joint Committee on Cancer tumor node metastasis staging system; B: xTRM-W staging system; C: xTRM-P staging system. LNR: Lymph node ratio.

Figure 5 The distribution differences between the xTRM-W staging system, xTRM-P staging system, and the 8^th edition American Joint Committee on Cancer tumor node metastasis staging system. A: The distribution differences between the xTRM-W staging system and the 8^th edition American Joint Committee on Cancer tumor node metastasis (AJCC TNM) staging system; B: The distribution differences between the xTRM-P staging system and the 8^th edition AJCC TNM staging system. AJCC: American Joint Committee on Cancer.

Figure 6 Time-dependent receiver operating characteristic curve analysis and decision curve analysis of the xTRM-W staging system and the 8^th edition American Joint Committee on Cancer tumor node metastasis staging system. A: Time-dependent receiver operating characteristic curve (ROC) analysis of the xTRM-W staging system in the training set; B: Time-dependent ROC analysis of the 8^th edition American Joint Committee on Cancer tumor node metastasis (AJCC TNM) staging system in the training set; C: Time-dependent ROC analysis of the xTRM-W staging system in the validation set; D: Time-dependent ROC analysis of the 8^th edition AJCC TNM staging system in the validation set; E: Decision curve analysis (DCA) of the xTRM-W staging system and the 8^th edition AJCC TNM staging system in the training set; F: DCA of the xTRM-W staging system and the 8^th edition AJCC TNM staging system in the validation set. ROC: Receiver operating characteristic curve; DCA: Decision curve analysis.

Figure 7 Time-dependent receiver operating characteristic curve analysis and decision curve analysis of the xTRM-P staging system and the 8^th edition American Joint Committee on Cancer tumor node metastasis staging system. A: Time-dependent receiver operating characteristic curve (ROC) analysis of the xTRM-P staging system in the training set; B: Time-dependent ROC analysis of the 8^th edition American Joint Committee on Cancer tumor node metastasis (AJCC TNM) staging system in the training set; C: Time-dependent ROC analysis of the xTRM-P staging system in the validation set; D: Time-dependent ROC analysis of the 8^th edition AJCC TNM staging system in the validation set; E: Decision curve analysis (DCA) of the xTRM-P staging system and the 8^th edition AJCC TNM staging system in the training set; F: DCA of the xTRM-P staging system and the 8^th edition AJCC TNM staging system in the validation set. ROC: Receiver operating characteristic curve; DCA: Decision curve analysis.