Development and Validation of a Prognostic Model for Nasal cavity Squamous Cell Carcinoma Based on the SEER Database

This study sought to construct and validate a prognostic nomogram for predicting cause-specific survival (CSS) in patients with nasal cavity squamous cell carcinoma (NCSCC). We conducted a retrospective analysis of clinical data from NCSCC patients registered in the SEER database between 2007 and 2015. Statistical analyses were performed to assess CSS rates and identify prognostic factors. The study cohort comprised 580 NCSCC patients, with CSS probabilities of 89.1%, 74.8%, and 63.6% at 1, 3, and 5 years, respectively. Multivariate Cox regression analysis identified age, American Joint Committee on Cancer (AJCC) stage, and radiotherapy administration as independent prognostic factors significantly associated with CSS. The accuracy of the prediction was evaluated using the C-index and calibration curve. Decision curve analysis (DCA) and receiver operating characteristic (ROC) were utilized to compare the nomogram with the AJCC stage system in order to assess its superiority. We developed and validated a predictive model for 1-, 3-, and 5-year CSS in NCSCC based on a large retrospective cohort. The nomogram demonstrates clinical utility in guiding individualized treatment strategies and patient management.