The correlation between the triglyceride-glucose index and the odds of cervical cancer

TL;DR

This study explores how a metabolic marker called the triglyceride-glucose index is linked to increased odds of cervical cancer.

Contribution

The study is one of the first to investigate the association between the TyG index and cervical cancer using large-scale datasets.

Findings

Higher TyG index levels were significantly associated with increased odds of cervical cancer in both NHANES and hospital datasets.

ROC analysis showed moderate diagnostic performance of the TyG index for advanced-stage cervical cancer.

Abstract

Cervical cancer (CC) remains a major global health burden, particularly in developing regions. While HPV infection is the primary cause, metabolic factors like insulin resistance are increasingly implicated. The triglyceride-glucose (TyG) index, a marker of insulin resistance, has been linked to various cancers but its role in CC is underexplored.

A preliminary exploration of the relationship between the TyG index and cervical cancer using the NHANES database, followed by validation of this association with data from Zibo Municipal Hospital and Shandong Cancer Hospital. TyG index was calculated and quartile-categorized. The association between the TyG index and cervical cancer was analyzed using logistic regression after adjusting for relevant covariates. Restricted cubic spline (RCS) curves were used to explore the non-linear relationship between the TyG index and cervical cancer odds, while ROC curves were employed to assess the diagnostic performance of the TyG index for cervical cancer.

Higher TyG index levels were significantly associated with increased odds of CC in both NHANES and hospital datasets. The association remained consistent across adjusted models. ROC analysis showed moderate diagnostic performance, especially for advanced-stage CC.

Elevated TyG index were positively correlated with the odds of CC. Individuals with higher TyG index values should be vigilant about the increased odds of developing and progressing CC. Future studies are required to verify the association between them with larger-scale cohorts.

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