A competing risk nomogram for predicting cancer-specific death of patients with buccal mucosa cancer

Objectives Our aim was to develop and validate a competing risk nomogram to determine the probability of cancer-specific death in buccal mucosa cancer (BMC) patients. Materials and Methods We examined the records of BMC patients in the Surveillance, Epidemiology, and End Results (SEER) Program and First Affiliated Hospital of Nanchang University (China). We adopted the cumulative incidence function and Fine-Gray proportional hazards model based on univariate and multivariate analyses by R-software to identify the risk factors associated with cancer-specific death. Subsequently, a nomogram was developed and validated to predict the 3- and 5-year probability of cancer-specific death. Results In 1,286 BMC patients identified from SEER database, cumulative incidences of cancer-specific death after diagnosis were 33.4% and 35.5% for 3 and 5 years, respectively. In the training cohort (n = 902) from SEER database, the Fine-Gray model indicated that age, Tumor Node Metastasis (TNM) stages, grade, surgery, and histological type were independent risk factors associated with cancer-specific death, based on which a prognostic nomogram was developed. In the internal validation cohort from SEER database (n = 384) and the external validation cohort from our medical center (n = 174), the nomogram was well calibrated and showed remarkable prediction performance. Conclusion The nomogram created herein may prove to be a good assistant tool for assessing the prognosis of BMC patients.

Automated summary

This study aimed to develop and validate a competing risk nomogram for predicting cancer-specific death in buccal mucosa cancer (BMC) patients. By analyzing patient data, independent risk factors associated with cancer-specific death were identified, leading to the development of a prognostic nomogram with good prediction performance.