Prognostic importance of the preoperative New-Naples prognostic score for patients with gastric cancer

被引:6
|
作者
Wang, Hao [1 ]
Fang, Tianyi [1 ]
Yin, Xin [1 ]
Lou, Shenghan [1 ]
Han, Bangling [1 ]
Gao, Jialiang [1 ]
Wang, Yufei [1 ]
Wang, Xibo [1 ]
Zhang, Daoxu [1 ]
Wang, Yimin [1 ]
Zhang, Yao [1 ]
Xue, Yingwei [1 ]
机构
[1] Harbin Med Univ, Canc Hosp, Dept Gastroenterol Surg, Harbin 150081, Peoples R China
来源
CANCER MEDICINE | 2023年 / 12卷 / 02期
关键词
GC; Naples; nomogram; prognosis; NUTRITIONAL-STATUS; SERUM-ALBUMIN; RISK INDEX; INFLAMMATION; MALNUTRITION; PREVALENCE; SURGERY; OBESITY; CHOLESTEROL; GASTRECTOMY;
D O I
10.1002/cam4.5017
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:1358 / 1375
页数:18
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