Zhehao Xiao, Zhuowei Liang, Weiling Chen, Hejing Huang, Song Qu
{"title":"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","authors":"Zhehao Xiao, Zhuowei Liang, Weiling Chen, Hejing Huang, Song Qu","doi":"10.3389/fnut.2025.1657646","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12473,"journal":{"name":"Frontiers in Nutrition","volume":"12 ","pages":"1657646"},"PeriodicalIF":4.0000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12464962/pdf/","citationCount":"0","resultStr":"{\"title\":\"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.\",\"authors\":\"Zhehao Xiao, Zhuowei Liang, Weiling Chen, Hejing Huang, Song Qu\",\"doi\":\"10.3389/fnut.2025.1657646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":12473,\"journal\":{\"name\":\"Frontiers in Nutrition\",\"volume\":\"12 \",\"pages\":\"1657646\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12464962/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Nutrition\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3389/fnut.2025.1657646\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Nutrition","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fnut.2025.1657646","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
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.
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.
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.