A prognostic nomogram incorporating tumor size and lymph node size for patients with nasopharyngeal carcinoma.

Purpose: The goal of this study was to establish a nomogram that included pre-treatment tumor size and lymph node (LN) size to assess personalized overall survival (OS) of patients with nasopharyngeal carcinoma (NPC).

Patients And Methods: The Surveillance, Epidemiology, and End Results dataset was used to extract statistics for 1083 individuals with NPC (training cohort). In the validation cohort, 266 patients were included from the Affiliated Cancer Hospital & Institute of Guangzhou Medical University. Age, tumor-node-metastasis (TNM) stage, pre-treatment tumor size, and LN size were chosen in both the training and validation sets to build a nomogram to forecast the 3-year and 5-year OS probability using the multivariate Cox regression model. Using the C-index, calibration plot, and receiver operating characteristic (ROC) curve, the predictive model's predictive value and discriminative capacity were determined.

Results: Pre-treatment tumor size, LN size, age, and TNM stage were all independent prognostic factors in the multivariate analysis. After combining these characteristics, a nomogram with a C-index of 0.7367 in the training cohort and 0.795 in the validation cohort was created, suggesting strong predictive capacity. Analysis of the ROC curve revealed that the constructed nomogram was clinically applicable.

Conclusions: In patients with NPC, the developed nomogram, which includes pre-treatment tumor size, LN size, age, and TNM stage, is a reliable predictive predictor of OS.