Level of TyG index in breast cancer and its value in predicting breast cancer
10.3760/cma.j.cn115355-20240829-00409
- VernacularTitle:乳腺癌TyG指数水平及其预测乳腺癌的价值
- Author:
Yi TIAN
1
;
Jia LIU
;
Ru LIU
;
Zhongwei CAO
Author Information
1. 包头医学院内蒙古自治区人民医院研究生培养基地，呼和浩特 010017
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Triglycerides;
Blood glucose;
Tumor markers, biological
- From:
Cancer Research and Clinic
2025;37(2):118-123
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the level of triglyceride-glucose (TyG) index and its effect and clinical value in predicting breast cancer.Methods:A retrospective case-control study was conducted. A total of 700 patients with breast tumors who underwent surgical treatment in the Inner Mongolia Autonomous Region People's Hospital from July 2021 to June 2024 were selected, and finally 625 patients were included, including 388 patients with benign breast tumors and 237 patients with breast cancer, and all lesions were determined to be benign or malignant by pathology after surgery. Triglyceride and blood glucose data were collected to calculate the TyG index. The correlation between TyG index and occurrence of breast cancer was analyzed by univariate and multivariate binary logistic regression models. With postoperative pathological diagnosis as the gold standard, the receiver operating characteristic (ROC) curve was used to evaluate the efficacy of TyG index in distinguishing breast cancer from benign breast tumors.Results:The age of patients in the breast cancer group and the benign breast tumor group was (57±12) years old and (42±12) years old, respectively. There were statistically significant differences in the distributions of patients between the two groups in terms of nationality, marital status, height, body mass, body mass index (BMI), cholesterol, low-density lipoprotein cholesterol, triglyceride, blood glucose levels, and color ultrasound Breast Imaging Report and Data System (BI-RADS) classification (all P < 0.05), and there was no statistically significant difference in the level of high-density lipoprotein cholesterol between the two groups ( P > 0.05); the TyG index in the breast cancer group was higher than that in the benign breast tumor group (8.6±0.6 vs. 8.4±0.6), and the difference was statistically significant ( P <0.001). Logistic regression analysis showed that in the model with only the TyG index as a variable, the risk of breast cancer increased with the increase of TyG index [ OR = 1.97, 95% CI: 1.48-2.63, P < 0.001, Hosmer-Lemeshow (HL) test P = 0.077]; in the model with 6 variables including TyG index, nationality, marriage, height, body mass and BMI, the risk of breast cancer increased with the increase of TyG index ( OR = 1.47, 95% CI: 1.08-2.00, P = 0.015, HL test P = 0.832); however, after adding age and BI-RADS classification variables, although the TyG index was still an independent influencing factor for the occurrence of breast cancer ( OR = 0.58, 95% CI: 0.35-0.96, P = 0.033, HL test P = 0.165), the rise of TyG index was an independent protective factor for the occurrence of breast cancer; in the two variable models including TyG index and BI-RADS classification, the TyG index was not an independent influencing factor for the occurrence of breast cancer ( OR = 1.10, 95% CI: 0.72-1.70, P = 0.659), suggesting that the TyG index may not be able to assist in the diagnosis of breast cancer by ultrasound. ROC curve analysis showed that the area under the curve to distinguish breast cancer and benign breast tumor according to the TyG index was 0.623, the optimal critical value of the TyG index was 8.51, the corresponding sensitivity was 59.5%, and the specificity was 62.4%. Conclusions:The TyG index of breast cancer patients is higher than that of benign breast tumor patients. Breast tumor patients with elevated TyG index have an increased risk of breast cancer, which may be a potential non-invasive biomarker of breast cancer.
