Shanghai Journal of Stomatology ›› 2021, Vol. 30 ›› Issue (6): 644-648.doi: 10.19439/j.sjos.2021.06.016

• Original Articles • Previous Articles     Next Articles

Construction of prognostic nomogram for squamous cell carcinoma of the buccal mucosa based on SEER database

LIN Yang, JIANG Wei-cai, QIU Yu, GAO Bing-ju, LI Jun, CHEN Peng, LIN Li-song   

  1. Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Fujian Medical University. Fuzhou 350005, Fujian Province, China
  • Received:2020-08-11 Revised:2020-10-30 Published:2022-03-09

Abstract: PURPOSE: To construct a nomogram for predicting prognosis of buccal mucosal squamous cell carcinoma (BMSCC) patients based on the surveillance, epidemiology and end results (SEER) database. METHODS: Five hundred and eight-three patients with primary BMSCC were included through the SEER database. R 3.6.0 was used to construct the nomogram model, Cox regression model was used to analyze the risk factors related to the prognosis of BMSCC, and construct the nomogram. The predictive capacity of the model was evaluated by comparison of calibration and discrimination with TNM (tumor, node, metastasis) staging system. Calibration curve and consistency index were used to evaluate the calibration of the model. SPSS 22.0 software package was used to construct receiver operating characteristic (ROC) curve and Kaplan-Meier survival curve was used to evaluate the discrimination of the model. RESULTS: Multivariate Cox analysis showed that age, T stage, and N stage were independent risk factors for the prognosis of BMSCC patients and were included in the construction of a nomogram. The calibration curve and consistency index of the nomogram group were significantly better than the TNM staging group. The discrimination between ROC curve and Kaplan-Meier survival curve in the nomogram group were better than the TNM staging group. This nomogram model was superior to the TNM staging system in terms of calibration and discrimination in predicting prognosis of BMSCC patients. CONCLUSIONS: A nomogram is constructed for predicting prognosis of BMSCC patients based on the SEER database which has better predictive performance than the TNM staging system.

Key words: Buccal mucosa, Squamous cell carcinoma, Surveillance,epidemiology and end results database, Nomogram

CLC Number: