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Original Research

Development and Validation of Prognostic Survival Nomograms for Patients with Anal Canal Cancer: A SEER-Based Study

, , , , , & ORCID Icon show all
Pages 10065-10081 | Published online: 20 Dec 2021

Figures & data

Figure 1 Flow diagram for the selection of patients with anal canal cancer from the SEER database between 2004 and 2015.

Abbreviations: SEM, squamous epithelial-derived malignancy; AEM, adeno epithelial-derived malignancy.
Figure 1 Flow diagram for the selection of patients with anal canal cancer from the SEER database between 2004 and 2015.

Table 1 Demographic and Clinical Data of the Patients with Anal Canal Cancer

Table 2 ICD-O-3 Code

Table 3 Survival Analyses of Overall Survival for Anal Canal Cancer Patients

Table 4 Survival Analyses of Cancer-Specific Survival for Anal Canal Cancer Patients

Figure 2 Nomogram predicting 1-, 3- and 5-year overall survival (OS) and cancer-specific (CSS) survival rate of patients with anal canal cancer. (A) Nomogram to predict 1-, 3- and 5-year OS for patients with anal canal cancer; (B) Nomogram to predict 1-, 3- and 5-year CSS for patients with anal canal cancer.

Abbreviations: AJCC, American Joint Committee on Cancer; SEER, surveillance, epidemiology, and end results; OS, overall survival; CSS, cancer-specific survival; SEM, squamous epithelial-derived malignancy; AEM, adeno epithelial-derived malignancy.
Figure 2 Nomogram predicting 1-, 3- and 5-year overall survival (OS) and cancer-specific (CSS) survival rate of patients with anal canal cancer. (A) Nomogram to predict 1-, 3- and 5-year OS for patients with anal canal cancer; (B) Nomogram to predict 1-, 3- and 5-year CSS for patients with anal canal cancer.

Figure 3 Time-dependent ROC curves. (A) Time-dependent ROC curves of the OS nomogram reveal that the AUCs in the training cohort are 0.767, 0.728 and 0.768 for predicting 1-, 3- and 5-year OS, respectively; (B) Time-dependent ROC curves of the CSS nomogram in the training cohort reveal that the AUCs are 0.780, 0.744 and 0.768 for predicting 1-, 3- and 5-year CSS, respectively; (C) Time-dependent ROC curves of the OS nomogram reveal that the AUCs in the validation cohort are 0.757, 0.757 and 0.738 for predicting 1-, 3- and 5-year OS, respectively; (D) Time-dependent ROC curves of the CSS nomogram in the validation cohort reveal that the AUCs are 0.743, 0.754 and 0.729 for predicting 1-, 3- and 5-year CSS, respectively.

Abbreviations: ROC, receiver operating characteristic; AUC, area under the curve; OS, overall survival; CSS, cancer-specific survival.
Figure 3 Time-dependent ROC curves. (A) Time-dependent ROC curves of the OS nomogram reveal that the AUCs in the training cohort are 0.767, 0.728 and 0.768 for predicting 1-, 3- and 5-year OS, respectively; (B) Time-dependent ROC curves of the CSS nomogram in the training cohort reveal that the AUCs are 0.780, 0.744 and 0.768 for predicting 1-, 3- and 5-year CSS, respectively; (C) Time-dependent ROC curves of the OS nomogram reveal that the AUCs in the validation cohort are 0.757, 0.757 and 0.738 for predicting 1-, 3- and 5-year OS, respectively; (D) Time-dependent ROC curves of the CSS nomogram in the validation cohort reveal that the AUCs are 0.743, 0.754 and 0.729 for predicting 1-, 3- and 5-year CSS, respectively.

Figure 4 Calibration curves in the training cohort. (AC) Calibration curves of the nomogram for predicting 1-, 3- and 5-year OS; (DF) Calibration curves of the nomogram for predicting 1-, 3- and 5-year CSS.

Abbreviations: OS, overall survival; CSS, cancer-specific survival.
Figure 4 Calibration curves in the training cohort. (A–C) Calibration curves of the nomogram for predicting 1-, 3- and 5-year OS; (D–F) Calibration curves of the nomogram for predicting 1-, 3- and 5-year CSS.

Figure 5 Calibration curves in the validation cohort. (AC) Calibration curves of the nomogram for predicting 1-, 3- and 5-year OS; (DF) calibration curves of the nomogram for predicting 1-, 3- and 5-year CSS.

Abbreviations: OS, overall survival; CSS, cancer-specific survival.
Figure 5 Calibration curves in the validation cohort. (A–C) Calibration curves of the nomogram for predicting 1-, 3- and 5-year OS; (D–F) calibration curves of the nomogram for predicting 1-, 3- and 5-year CSS.

Figure 6 DCA curves of the nomogram, AJCC stage and SEER staging system. (A) DCA curves for OS in the training cohort; (B) DCA curves for CSS in the training cohort; (C) DCA curves for OS in the validation cohort; (D) DCA curves for CSS in the validation cohort.

Abbreviations: DCA, decision curve analysis; AJCC, American Joint Committee on Cancer; SEER, Surveillance, epidemiology, and end results; OS, overall survival; CSS, cancer-specific survival.
Figure 6 DCA curves of the nomogram, AJCC stage and SEER staging system. (A) DCA curves for OS in the training cohort; (B) DCA curves for CSS in the training cohort; (C) DCA curves for OS in the validation cohort; (D) DCA curves for CSS in the validation cohort.

Figure 7 Kaplan–Meier curves survival curves for the high- and low-risk groups. (A) Kaplan–Meier curve for OS in the training cohort; (B) Kaplan–Meier curve for CSS in the training cohort; (C) Kaplan–Meier curve for OS in the validation cohort; (D) Kaplan–Meier curve for CSS in the validation cohort.

Abbreviations: OS, overall survival; CSS, cancer-specific survival.
Figure 7 Kaplan–Meier curves survival curves for the high- and low-risk groups. (A) Kaplan–Meier curve for OS in the training cohort; (B) Kaplan–Meier curve for CSS in the training cohort; (C) Kaplan–Meier curve for OS in the validation cohort; (D) Kaplan–Meier curve for CSS in the validation cohort.

Table 5 Comparison of AJCC Stage and Tumor Size Between Local Resection Group and Radical Resection Group