ArticleFrontiers in endocrinology2025
The triglyceride-glucose index associated with reduced risk of liver metastasis in pancreatic cancer.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The obesity paradox effect of triglyceride-glucose-body mass index (TyG-BMI) on all-cause mortality in patients with malignant tumors: a machine learning-driven cohort study.Translational cancer research · 2026Article
- Triglyceride-to-glucose index and lymphocyte-to-monocyte ratio enhance prognostic accuracy for colorectal cancer patients: a multicenter machine learning cohort study.Translational cancer research · 2026Article
- "Paradoxical" prognostic role of the TyG index and a novel machine learning-derived nomogram for colorectal cancer liver metastases.Frontiers in nutrition · 2026Article
- From metabolic syndrome to survival: a prognostic model for PDAC incorporating insulin resistance markers and pathological variables.Frontiers in endocrinology · 2026Article
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11 authors.
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Abstract
Background: The triglyceride-glucose (TyG) index has emerged as a reliable surrogate marker for insulin resistance and is associated with multiple malignancies. However, its role in pancreatic cancer liver metastasis (PCLM) remains unclear. This study aimed to investigate the relationship between TyG index and PCLM and evaluate its predictive value for PCLM. Methods: This study enrolled 172 patients diagnosed with pancreatic cancer at Sixth Affiliated Hospital of Sun Yat-sen University between 2021 and 2024. Both cross-sectional and longitudinal analyses were employed. Logistic regression, propensity score matching (PSM) and subgroup analysis were utilized to assess the relationship between TyG index and PCLM, and a predictive model was constructed. Kaplan-Meier curves and cox proportional hazards regression analysis were conducted to assess the impact on liver metastasis. LASSO regression and Firth regression were conducted to avoid over-fitting issue. Restricted cubic splines (RCS) were applied to explore the nonlinear relationship. Results: A significant inverse association was observed between TyG index level and PCLM incidence. Both multivariate logistic and cox regression suggested that a lower TyG index is associated with an increased risk of PCLM. A nomogram model was established and possessed a moderate degree of predictive accuracy (AUC = 0.75, 95% CI = 0.67-0.82). Notably, similar conclusions were reached in the subgroup of pancreatic ductal adenocarcinoma. Conclusion: Comprehensive analysis suggest that higher TyG index level is associated with reduced risk for PCLM, offering significant guidance for the prediction and early intervention of PCLM.
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