PeerJ (Nov 2023)
Association of triglyceride-glucose index with the risk of prostate cancer: a retrospective study
Abstract
Background Prostate cancer is the most common malignancy in men, and its incidence is increasing year by year. Some studies have shown that risk factors for prostate cancer are related to insulin resistance. The triglyceride-glucose (TyG) index is a marker of insulin resistance. We investigated the validity of TyG index for predicting prostate cancer and the dose-response relationship in prostate cancer in relation to it. Objective To investigate the risk factors of TyG index and prostate cancer prevalence. Methods This study was screened from the First Affiliated Hospital of Xinjiang Medical University and included 767 people, including 136 prostate cancer patients in the case group and 631 healthy people in the control group. The relationship between TyG index and the risk of prostate cancer was analyzed by one-way logistic regression, adjusted for relevant factors, and multi-factor logistic regression analysis was performed to further investigate the risk factors affecting the prevalence of prostate cancer. ROC curves and Restricted Cubic Spline were established to determine the predictive value and dose-response relationship of TyG index in prostate cancer. Results Blood potassium (OR = 0.056, 95% CI [0.021–0.148]), total cholesterol (OR = 1.07, 95% CI [0.792–1.444]) and education level (OR = 0.842, 95% CI [0.418–1.697]) were protective factors for prostate cancer, alkaline phosphatase, age, LDL, increased the risk of prostate cancer (OR = 1.016, 95% CI [1.006–1.026]) (OR = 139.253, 95% CI [18.523–1,046.893] (OR = 0.318, 95% CI [0.169–0.596]); TyG index also was a risk factor for prostate cancer, the risk increased with TyG levels,and persons in the TyGQ3 group (8.373–8.854 mg/dL) was 6.918 times (95% CI [2.275–21.043]) higher than in the Q1 group,in the TyGQ4 group (≥8.854) was 28.867 times of those in the Q1 group (95% CI [9.499–87.727]). Conclusion TyG index may be a more accurate and efficient predictor of prostate cancer.
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