| Title: | Triglyceride glucose related indices predict incident breast cancer risk in a population based cohort study |
| Journal: | Discover Oncology |
| Published: | 12 Nov 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41258627/ |
| DOI: | https://doi.org/10.1007/s12672-025-04031-8 |
Publication 18953
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Abstract
BackgroundThe 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.MethodsWe 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.ResultsThe 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%.ConclusionTyG-related indices were significantly associated with increased breast cancer risk, highlighting their potential as biomarkers for risk assessment and prevention strategies.</p>
4 Authors
- Qing Xie
- Yaolan Zhen
- Zhixing Fan
- Ying Hu
1 Application
| Application ID | Title |
|---|---|
| 170605 | Association analysis, causal inference, and modeling of genetic, environmental, lifestyle, and clinical determinants in the occurrence, progression, and prognosis of age-related diseases |
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