Triglyceride-to-high density lipoprotein cholesterol ratio predicts clinical outcomes in patients with gastric cancer
Triglyceride-to-high density lipoprotein cholesterol ratio predicts clinical outcomes in patients with gastric cancer
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甘油三酯与高密度脂蛋白胆固醇的比率可预测胃癌患者的临床结果
DOI：
10.7150/jca.35939
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发表时间：
2019-01-01
影响因子：
3.9
通讯作者：
Wang, Shukui
中科院分区：
文献类型：
--
作者：
Sun, Huiling;Huang, Xiaoqin;Wang, Shukui
甘油三酯（TG）与高密度脂蛋白胆固醇（HDL-C）比值（TG/HDL-C）与胃癌（GC）生存率的关系尚不清楚。本研究旨在探讨术前TG/HDL-C对胃癌患者临床结局的确切影响。2006年至2014年入组了GC患者。来自单个中心的总共957名个体被分为前瞻性训练和回顾性测试队列。使用X-tile软件确定TG/HDL-C的最佳临界值，以根据TG/HDL-C水平将训练队列分为低生存组和高生存组。使用Kaplan-Meier曲线和考克斯比例风险回归模型进行生存分析。获得术前TG/HDL-C和临床结果，以确定训练和测试队列中血脂的预后意义。我们观察到高TG和TG/HDL-C与GC患者的不良预后显著相关，高TG/HDL-C在两个队列中具有独立预测5年总生存率的最高曲线下面积。结论：TG/HDL-C是预测胃癌患者5年病死率的一个有效、独立的预后因素，可提高其预后诺模图的预测效能。
Correlation of triglyceride (TG)-to-high density lipoprotein cholesterol (HDL-C) ratio (TG/HDL-C) and the survival of gastric cancer (GC) remain unclear. The purpose of this study was to explore the precise effect of preoperative TG/HDL-C on clinical outcomes in GC patients. Patients with GC were enrolled from 2006 to 2014. A total of 957 individuals from a single center were divided into prospective training and retrospective test cohorts. The optimal cutoff value of TG/HDL-C was determined using X-tile software to separate the training cohort into low and high survival groups according to TG/HDL-C levels. Survival analyses were performed using Kaplan-Meier curves and a Cox proportional hazards regression model. Preoperative TG/HDL-C and clinical outcomes were obtained to determine the prognostic significance of serum lipids in the training and test cohorts. We observed that high TG and TG/HDL-C were significantly correlated with poor outcome in GC patients, and high TG/HDL-C harbored the highest area under curve to independently predict 5-year overall survival in two cohorts. Furthermore, c-index of the prognostic nomogram including TG/HDL-C was significantly higher than that without it. In summary, TG/HDL-C was an efficient and independent prognostic factor to predict 5-year case fatality of GC patients and to improve the efficacy of its prognostic nomogram.