Liping Yang, Ziyun Yu, Jin Zhu, Longbo He, Lieliang Wang, Qingfeng Luo
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引用次数: 0
Abstract
Background: The relationship between serum uric acid and breast cancer remains uncertain. This meta-analysis aimed to elucidate the dose-response association between elevated serum uric acid levels and breast cancer risk.
Methods: We systematically searched PubMed, Embase, and Web of Science for observational studies evaluating serum uric acid and breast cancer risk in adult women. Risk ratios (RRs) with 95% confidence intervals (CIs) were calculated using a random-effects model.
Results: Ten studies were included. High serum uric acid was associated with an increased breast cancer risk (RR: 1.34; 95% CI: 1.03-1.73; P = 0.03; I2 = 78%). Meta-regression analysis revealed that the cutoff for high serum uric acid positively correlated with breast cancer risk (coefficient = 0.24; P < 0.001), explaining heterogeneity (residual I2 = 0%). Subgroup analysis demonstrated a high serum uric acid was significantly related to an increased breast cancer risk in studies with a cutoff value ≥ 5.4 mg/dL (RR: 1.95; P < 0.001), but not in those with a cutoff value < 5.4 mg/dL (RR: 0.97; P = 0.44). The dose-response meta-analysis revealed a U-shaped association between serum uric acid levels and the risk of breast cancer (P for nonlinearity = 0.013). The risk of breast cancer fell until around 4.5 mg/dL of serum uric acid, and increased afterward.
Conclusion: Serum uric acid may be nonlinearly associated with the risk of breast cancer (U-shaped). The risk of breast cancer increases with serum uric acid above 4.5 mg/dL, and a higher association between serum uric acid and the increased risk of breast cancer could be observed in studies with cutoff of serum uric acid > 5.4 mg/dL.
期刊介绍:
IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.