Comparative study on the predictive value of TyG, TyG-BMI, and TG/HDL-C for progression-free survival in patients with locally advanced nasopharyngeal carcinoma.

IF 4 2区农林科学 Q2 NUTRITION & DIETETICS

Frontiers in Nutrition Pub Date : 2025-09-12 eCollection Date: 2025-01-01 DOI:10.3389/fnut.2025.1657646

Zhehao Xiao, Zhuowei Liang, Weiling Chen, Hejing Huang, Song Qu

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Abstract

Background: This study aimed to explore the relationship between the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), and triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C) of locally advanced nasopharyngeal carcinoma (LA-NPC) and progression-free survival (PFS) to investigate their potential as prognostic indicators.

Methods: This research involved a retrospective analysis of data pertaining to patients with LA-NPC from the Guangxi Medical University Cancer Hospital. The analysis categorized patients into a progression group and a control group according to their disease control status. The correlation of three indicators with PFS was established utilizing the Cox proportional hazards model, Kaplan-Meier (K-M) analysis, and restricted cubic spline (RCS) analysis. Three predictive models were developed based on the three indicators, and their predictive ability was assessed.

Results: TyG, TyG-BMI, and TG/HDL-C are independent predictors of PFS in LA-NPC patients, and all exhibit a non-linear relationship. Patients in the high TyG, TyG-BMI, and TG/HDL-C groups have significantly lower PFS compared to those in the low groups, and this effect persists after adjusting for confounding factors. A multivariate analysis confirmed that lactate dehydrogenase (LDH) and EBV_DNA are also independent prognostic factors for PFS. The models that utilize these indicators outperform traditional tumor node metastasis (TNM) staging, with the TyG-based model demonstrating the strongest predictive ability for PFS.

Conclusion: TyG, TyG-BMI, and TG/HDL-C are potential prognostic biomarkers for the evaluation of PFS in individuals diagnosed with LA-NPC. Our research underscores the potential of these three indices to be utilized to enhance prognostic assessment and customize treatment strategies in the management of LA-NPC.

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TyG、TyG- bmi、TG/HDL-C对局部晚期鼻咽癌患者无进展生存期预测价值的比较研究

背景：本研究旨在探讨局部晚期鼻咽癌（LA-NPC）的甘油三酯葡萄糖（TyG）指数、甘油三酯葡萄糖-体重指数（TyG- bmi）和甘油三酯/高密度脂蛋白胆固醇比（TG/HDL-C）与无进展生存期（PFS）的关系，探讨其作为预后指标的潜力。方法：本研究对广西医科大学肿瘤医院LA-NPC患者资料进行回顾性分析。根据病情控制情况，将患者分为进展组和对照组。利用Cox比例风险模型、Kaplan-Meier （K-M）分析和限制性三次样条（RCS）分析，建立3个指标与PFS的相关性。基于这三个指标建立了三个预测模型，并对其预测能力进行了评估。结果：TyG、TyG- bmi和TG/HDL-C是LA-NPC患者PFS的独立预测因子，且均呈非线性关系。高TyG、TyG- bmi和TG/HDL-C组患者的PFS明显低于低组患者，并且在调整混杂因素后这种影响仍然存在。多变量分析证实乳酸脱氢酶（LDH）和EBV_DNA也是PFS的独立预后因素。利用这些指标的模型优于传统的肿瘤淋巴结转移（TNM）分期，其中基于tyg的模型对PFS的预测能力最强。结论：TyG、TyG- bmi和TG/HDL-C是评估LA-NPC患者PFS的潜在预后生物标志物。我们的研究强调了这三个指标在LA-NPC管理中用于增强预后评估和定制治疗策略的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Nutrition Agricultural and Biological Sciences-Food Science

CiteScore

5.20

自引率

8.00%

发文量

2891

审稿时长

12 weeks

期刊介绍： No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.