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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Cancer Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1573986

This article is part of the Research Topic Insulin Resistance Bridges Tumor and Inflammation View all 3 articles

An analysis of the relationship of triglyceride glucose index with diffuse large B-cell lymphoma prognosis: A retrospective study

Provisionally accepted
Qing-Qing Luo Qing-Qing Luo 1Zhixiang Lei Zhixiang Lei 1Haizhou Miao Haizhou Miao 2Ting Huang Ting Huang 3Li Yu Li Yu 1*
  • 1 The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
  • 2 Nanchang University Rehabilitation College, Nanchang, China
  • 3 Third People's Hospital of Pingxiang City, Pingxiang, China

The final, formatted version of the article will be published soon.

    Objective Diffuse large B-cell lymphoma (DLBCL) as among the most common lymphomas is associated with insulin resistance. The triglyceride-glucose (TyG) index, generally considered a surrogate marker for IR, has an uncertain prognostic value in DLBCL. Methods We conducted a retrospective analysis of DLBCL patients who received R-CHOP therapy at the Second Affiliated Hospital of Nanchang University from January 2011 to December 2023. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for overall survival (OS). Boruta algorithm was employed to strengthen the robustness of our analysis. Restricted cubic spline (RCS) analysis was used to explore the potential nonlinear relationship between the TyG index and OS. Subgroup analyses were conducted to assess the prognostic value of the TyG index across different patient subgroups. Finally, a nomogram model based on the TyG index was developed, and its predictive performance was evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curve analysis (DCA). Results A total of 186 DLBCL patients were included in this study. Univariate and multivariate Cox regression analyses identified the TyG index, Age, ECOG performance status, Ann Arbor stage, and lactate dehydrogenase levels as independent prognostic factors for DLBCL. The Boruta algorithm confirmed these variables as the most important prognostic factors. Kaplan-Meier analysis revealed significantly poorer OS in the high TyG index group. RCS analysis demonstrated a non-linear relationship between the TyG index and OS. Subgroup analyses further validated the TyG index as a significant prognostic factor across various patient subgroups. The TyG-based nomogram model outperformed the conventional International Prognostic Index (IPI), with AUROCs of 0.878, 0.809, and 0.867 for 1-year, 3-year, and 5-year OS, respectively. Calibration curves showed good agreement between the nomogram predictions and actual outcomes, and DCA highlighted the high clinical utility of the model. Conclusion The TyG index is an independent prognostic factor in DLBCL patients, and the TyG-based nomogram model provides enhanced predictive accuracy compared to the IPI. Its simplicity and low cost make it a valuable tool for routine clinical prognostic assessment in DLBCL patients.

    Keywords: Conceptualization: Q.Q.L., Z.X.L., L.Y., T.H., Methodology: Q.Q.L., Z.X.L., L.Y., Data Collection: Q.Q.L., Z.X.L., Data Analysis: Q.Q.L., Z.X.L., H.Z.M., Interpretation of Results: Q.Q.L., Z.X.L., H.Z.M., L.Y., T.H., Drafting of the

    Received: 10 Feb 2025; Accepted: 31 Mar 2025.

    Copyright: © 2025 Luo, Lei, Miao, Huang and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Li Yu, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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