Sun Xiong, Ruan Tuo, Lin Yao, Li Chengguo, Shen Qian, Li Tianhao, Ding Jianing, Yin Yuping, Tao Kaixiong
Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Future Oncol. 2025 Jul 12:1-9. doi: 10.1080/14796694.2025.2532365.
The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio, and lymphocyte-monocyte ratio. This study aimed to investigate the prognostic value of preoperative NPS in locally advanced gastric cancer(LAGC) patients underwent radical resection after neoadjuvant chemoimmunotherapy (NCIT).
The NPS was calculated and patients were then divided into two groups according to their NPS values as follows: NPS = 0-2 (group 1), NPS = 3-4 (group 2). Univariate and multivariate Cox analysis were used to identify independent prognostic factors associated with overall survival (OS), and time-dependent receiver operating characteristic (t-ROC) curves were carried to evaluate the discriminatory capacity of the prognostic scoring systems.
A total of 117 patients were included in this study. The 1- and 2-year OS rates in group 1 were 100.0% and 95.7%, group 2 exhibited rates of 95.7% and 84.4%. Multivariate cox analysis demonstrated that NPS was an independent prognostic factor of OS ( = 0.009). Furthermore, NPS exhibited better prognostic performance in the prediction of OS than additional prognostic scoring systems.
NPS is a significant prognostic indicator and can be a reliable predictor of survival in LAGC patients underwent radical resection after NCIT.
那不勒斯预后评分(NPS)的参数包括白蛋白、总胆固醇、中性粒细胞与淋巴细胞比值以及淋巴细胞与单核细胞比值。本研究旨在探讨术前NPS对接受新辅助化疗免疫治疗(NCIT)后行根治性切除的局部晚期胃癌(LAGC)患者的预后价值。
计算NPS,然后根据NPS值将患者分为两组:NPS = 0 - 2(第1组),NPS = 3 - 4(第2组)。采用单因素和多因素Cox分析确定与总生存期(OS)相关的独立预后因素,并绘制时间依赖性受试者工作特征(t-ROC)曲线以评估预后评分系统的辨别能力。
本研究共纳入117例患者。第1组的1年和2年OS率分别为100.0%和95.7%,第2组分别为95.7%和84.4%。多因素Cox分析表明NPS是OS的独立预后因素(P = 0.009)。此外,NPS在预测OS方面比其他预后评分系统表现出更好的预后性能。
NPS是一个重要的预后指标,可作为接受NCIT后行根治性切除的LAGC患者生存的可靠预测指标。