Prognostic importance of the preoperative New‐Naples prognostic score for patients with gastric cancer. (14th July 2022)

• Record Type: Journal Article
• Authors: Wang, Hao; Fang, Tianyi; Yin, Xin; Lou, Shenghan; Han, Bangling; Gao, Jialiang; Wang, Yufei; Wang, Xibo; Zhang, Daoxu; Wang, Yimin; Zhang, Yao; Xue, Yingwei
• Is Part Of: Cancer medicine. Volume 12:Number 2(2023)
• Page Start: 1358
• Page End: 1375
• Publication Date: 2022-07-14
• Subjects: GC -- Naples -- nomogram -- prognosis; 616.994005
• DOI: 10.1002/cam4.5017
• Languages: English
• ISSNs: 2045-7634

Abstract

Abstract: Background: The wide applicability of the Naples prognostic score (NPS) is still worthy of further study in gastric cancer (GC). This study aimed to construct a New‐NPS based on the differences in immunity and nutrition in patients with upper and lower gastrointestinal tumors to help obtain an individualized prediction of prognosis. Methods: This study retrospectively analyzed patients who underwent radical gastrectomy from April 2014 to September 2016. The cutoff values of the preoperative neutrophil‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), serum albumin (Alb), and total cholesterol (TC) were calculated by ROC curve analysis. ROC and t‐ROC were used to evaluate the accuracy of the prognostic markers. The Kaplan–Meier method and log‐rank test were used to analyze the overall survival probability. Univariate and multivariate analyses based on Cox risk regression were used to show the independent predictors. The nomogram was made by R studio. The predictive accuracy of nomogram was assessed using a calibration plot, concordance index (C‐index), and decision curve. Results: A total of 737 patients were included in training cohort, 411 patients were included in validation cohort. ROC showed that the New‐NPS was more suitable for predicting the prognosis of GC patients. NPS = 2 indicated a poor prognosis. Multivariate analysis showed that CEA ( P = 0.026), Borrmann type ( P = 0.001), pTNM ( P < 0.001), New‐NPS ( P < 0.001), and nerve infiltration ( P = 0.035) were independent risk factors for prognosis. Conclusion: The New‐NPS based on the cutoff values of NLR, LMR, Alb, and TC is not only suitable for predicting prognosis but can also be combined with clinicopathological characteristics to construct a nomogram model for GC patients. Abstract : NPS constructed according to the immune and nutritional status of GC patients is more suitable for predicting prognosis