A novel prognostic model based on CA stage for enhanced stratification and survival prediction in patients with Natural killer/T-cell lymphoma.

ABSTRACT: This study aimed to identify key prognostic factors for Natural killer/T-cell lymphoma (NKTCL) in the context of L-asparaginase/pegaspargase-based therapy and to develop a simplified yet accurate prognostic model for risk stratification. Data from 854 NKTCL patients at the Sun Yat-sen University Cancer Center were divided into a training cohort (n = 598) and an internal validation cohort (n = 256). A further 222 patients from Sichuan Cancer Hospital & Institute were used to create an external validation cohort. Least absolute shrinkage and selection operator (LASSO) and Cox regression were used to identify independent risk factors for overall survival (OS). A nomogram (Nomogram-CA) was constructed and evaluated using the consistency index (C-index), calibration curves, time-dependent ROC (

SUBMITTER: Ge J 

PROVIDER: S-EPMC12672774 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature