Recurrence Risk Stratification Based on Competing-Risks Nomograms to Identify Patients With Esophageal Cancer Who May Benefit From Postoperative Radiotherapy.

PURPOSE/OBJECTIVE(S) A reliable model is needed to estimate the risk of postoperative recurrence and the benefits of postoperative radiotherapy (PORT) in patients with thoracic esophageal squamous cell cancer (TESCC). MATERIALS/METHODS The study retrospectively reviewed 3652 TESCC patients in stage I-III after radical esophagectomy, with or without PORT. In one institution as the training cohort (n = 1620), independent risk factors associated with locoregional recurrence (LRR), identified by the competing risk regression, were used to establish a predicting nomogram, which was validated in an external cohort (n = 1048). Area under curve (AUC) values of receiver operating characteristic curves were calculated to evaluate discrimination. Risk stratification was conducted using a decision tree analysis based on the cumulative point score of the LRR nomogram, and the effect of PORT was evaluated in each risk group. RESULTS Sex, age, tumor location, tumor grade, and N category were identified as independent risk factors for LRR and added into the nomogram. The AUC values were 0.638 and 0.706 in the training and validation cohorts, respectively. Three risk groups were established. For patients in the intermediate- and high-risk groups, PORT significantly improved the 5-year overall survival by 8.8% and 11.1%, respectively (P < 0.05). Though PORT was significantly associated with reduced LRR in the low-risk group, overall survival was not improved. CONCLUSION The nomogram can effectively estimate the individual risk of LRR, and patients in the intermediate- and high-risk groups are highly recommended to undergo PORT.