Development and validation of a novel prognostic model for gastric signet ring cell carcinoma based on inflammation-nutrition indicators

Background: Gastric signet-ring cell carcinoma (GSRCC) is a highly aggressive subtype of gastric cancer with poor prognosis. Existing prognostic models lack integrated analysis of systemic inflammation and nutritional status. This study aimed to develop and validate a prognostic model incorporating inflammatory and nutritional indicators to enhance individualized clinical management in GSRCC patients. Methods: = 236) cohorts. Prognostic factors were selected using univariate analysis, multivariate Cox regression, and least absolute shrinkage and selection operator (LASSO) regression. A nomogram integrating clinicopathological features and inflammation-nutrition indicators was constructed and evaluated using calibration curves, time-dependent ROC (t-ROC) analysis, and decision curve analysis (DCA). Results: < 0.001). The nomogram achieved a concordance index (C-index) of 0.831, with good calibration and substantial clinical benefit confirmed by DCA. Conclusions: This study developed and validated a novel GSRCC prognostic nomogram integrating inflammatory and nutritional indicators, offering improved discrimination and clinical utility. It provides a practical tool for precise risk stratification and personalized management of GSRCC patients.