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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Triglyceride glucose related indices predict incident breast cancer risk in a population based cohort study
Qing Xie1, Yaolan Zhen1, Zhixing Fan2
1Department of Oncology, Xianning Central Hospital, The First Affiliated Hospital of Hubei Institute of Science and Technology, Xianning, 437100, Hubei, China.
Background:
The association between triglyceride-glucose (TyG)-related indices and breast cancer risk is not fully understood. This study aimed to investigate the role of TyG-related indices in predicting breast cancer risk.
Methods:
We analyzed data from 220,396 female participants in the UK Biobank, with a median follow-up of 13.63 years. TyG-related indices including TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist to height ratio (TyG-WHtR), TyG-waist to hip ratio (TyG-WHR). Cox proportional hazards models were used to evaluate the association between TyG-related indices and breast cancer risk. Mediation analysis was performed to assess the role of white blood cell (WBC) and C-reactive protein (CRP) in this association. Interaction analysis was conducted to assess if age, menopausal status, and breast cancer screening modified the association between TyG-related indices and breast cancer risk.
Results:
The highest quartiles of TyG, TyG-BMI, TyG-WC, TyG-WHtR, and TyG-WHR were significantly associated with increased breast cancer risk, with hazard ratios (95% CI) of 1.10 (1.04-1.17), 1.28 (1.20-1.35), 1.30 (1.22-1.38), 1.23 (1.16-1.31), and 1.17 (1.10-1.24), respectively. Interaction analysis revealed stronger associations in postmenopausal women, those aged ≥ 60, and individuals who had not undergone breast cancer screening (P for interaction < 0.05). Mediation analysis showed that CRP contributed a larger proportion of the mediation effect than WBC, with CRP mediating 26.8%-54.7% and WBC mediating 14.3%-40.4%.
Conclusion:
TyG-related indices were significantly associated with increased breast cancer risk, highlighting their potential as biomarkers for risk assessment and prevention strategies.
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