基于NHANES的女性人群尿液5种微量元素暴露与乳腺癌的相关性研究

    Relationship between five trace elements in urine and breast cancer in female based on NHANES

    • 摘要:
      目的 探讨基于尿液镉、钴、铅、钨、砷五种微量元素水平与乳腺癌的关系,为乳腺癌的诊治拓展新的思路。
      方法 基于2013—2020年3月美国健康与营养检查的调查数据,以110例乳腺癌患者作为乳腺癌组,2 849例无癌症研究对象作为非乳腺癌组;研究资料包括研究对象的人口学信息、生殖健康状况、五种尿液微量元素含量等。基本情况的比较采用χ2检验,采用Wilcoxon秩和检验比较两组尿中微量元素浓度差异,采用多因素Logistic回归模型分析尿液五种微量元素水平与乳腺癌的关系,采用限制性立方样条方法探讨尿液微量元素暴露与乳腺癌的剂量—反应关系。
      结果 乳腺癌组尿液镉、钴、铅、钨、砷五种微量元素浓度MP25P75)分别为0.35(0.24,0.61)、0.49(0.32,0.74)、0.51(0.34,0.74)、0.08(0.05,0.14)、7.90(4.28,18.58)μg/g肌酐,非乳腺癌组尿液镉、钴、铅、钨、砷五种微量元素浓度MP25P75)分别为0.27(0.15,0.48)、0.45(0.29,0.71)、0.34(0.21,0.54)、0.06(0.04,0.11)、7.01(3.92,15.15)μg/g肌酐;乳腺癌组尿液镉、铅、钨浓度均高于非乳腺癌组(P < 0.05)。多因素校正后尿镉、尿铅、尿钨浓度与乳腺癌存在关联,与镉的Q1组相比,Q2、Q3、Q4组患乳腺癌的风险增加,OR(95%CI)值分别为2.63(1.17~5.92)、3.49(1.57~7.79)、2.87(1.24~6.66),P趋势>0.05;与铅的Q1组相比,Q4组患乳腺癌的风险增加,OR(95%CI)值为2.45(1.22~4.93),P趋势 < 0.05;与钨的Q1组相比,Q3、Q4组患乳腺癌的风险增加,OR(95%CI)值分别为1.90(1.04~3.47)、2.03(1.10~3.75),P趋势 < 0.05;尿液镉、铅、钨水平与乳腺癌患病风险之间存在非线性剂量—反应关系,乳腺癌的患病风险会随着尿镉、尿铅、尿钨浓度的升高而增大。
      结论 暴露于镉、铅、钨可能与女性人群乳腺癌风险增加有关。

       

      Abstract:
      Objective To explore the relationship between the urinary levels of five trace elements (cadmium, cobalt, lead, tungsten, and arsenic) and breast cancer, and to expand ideas for the diagnosis and treatment of breast cancer.
      Methods Based on the data of the National Health and Nutrition Examination Survey(NHANES) from March 2013 to March 2020, the U.S.A., 110 breast cancer patients were selected as the breast cancer group, and 2 849 participants without cancer were selected as the non-breast cancer group. Meanwhile, the subjects basic information including demographic information, reproductive health status, and the urinary levels of the five trace elements were also collected. The chi-square test was used to compare basic information. The Wilcoxon rank sum test was used to compare the urinary concentrations of trace elements between the two groups. A multivariable logistic regression model was used to analyze the relationship between the urinary levels of the five trace elements and breast cancer. The restricted cubic spline approach was used to explore the dose-response relationship between urinary trace elements and breast cancer.
      Results The median (P25, P75) urinary concentrations of cadmium, cobalt, lead, tungsten and arsenic in breast cancer group were 0.35(0.24, 0.61), 0.49(0.32, 0.74), 0.51(0.34, 0.74), 0.08(0.05, 0.14) and 7.90(4.28, 18.58) μg/g creatinine, respectively. The median (P25, P75) urinary concentrations of cadmium, cobalt, lead, tungsten and arsenic in non-breast cancer group were 0.27 (0.15, 0.48), 0.45 (0.29, 0.71), 0.34 (0.21, 0.54), 0.06 (0.04, 0.11), and 7.01 (3.92, 15.15) μg/g creatinine, respectively. Urinary cadmium, lead, and tungsten concentrations in the breast cancer group were significantly higher than those of the non-breast cancer group (P < 0.05). After multi-factor adjustment, urinary cadmium, lead, and tungsten concentrations were associated with breast cancer. Compared with the cadmium Q1 concentration group, the risk of breast cancer in the Q2, Q3 and Q4 groups increased, and the odds ratios (ORs) and 95% confidence intervals (CIs) values were 2.63 (1.17-5.92), 3.49 (1.57-7.79), and 2.87 (1.24-6.66), respectively, with Ptrend>0.05. Compared with the Q1 concentration group of lead, the risk of breast cancer in the Q4 group increased, and the OR (95% CI) value was 2.45 (1.22-4.93), with Ptrend < 0.05. Compared with the Q1 concentration group of tungsten, the risk of breast cancer in Q3 and Q4 groups increased, and the OR (95% CI) values were 1.90 (1.04-3.47) and 2.03 (1.10-3.75), respectively, with Ptrend < 0.05. There were non-linear dose-response relationships between urinary cadmium, lead and tungsten levels and the risk of breast cancer. The risk of breast cancer increased with the increase of urinary cadmium, lead and tungsten concentrations.
      Conclusion Exposure to cadmium, lead, and tungsten may be associated with an increased risk of breast cancer in the female population.

       

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