Cassidy Aedín, Huang Tianyi, Rice Megan S, Rimm Eric B, Tworoger Shelley S
From the Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich, United Kingdom (AC); the Department of Epidemiology, Harvard School of Public Health, Boston, MA (TH, MSR, EBR, and SST); and the Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (TH, MSR, EBR, and SST).
Am J Clin Nutr. 2014 Nov;100(5):1344-51. doi: 10.3945/ajcn.114.088708. Epub 2014 Aug 20.
The impact of different dietary flavonoid subclasses on risk of epithelial ovarian cancer is unclear, with limited previous studies that have focused on only a few compounds.
We prospectively examined associations between habitual flavonoid subclass intake and risk of ovarian cancer.
We followed 171,940 Nurses' Health Study and Nurses' Health Study II participants to examine associations between intakes of total flavonoids and their subclasses (flavanones, flavonols, anthocyanins, flavan-3-ols, flavones, and polymeric flavonoids) and risk of ovarian cancer by using Cox proportional hazards models. Intake was calculated from validated food-frequency questionnaires collected every 4 y.
During 16-22 y of follow-up, 723 cases of ovarian cancer were confirmed through medical records. In pooled multivariate-adjusted analyses, total flavonoids were not statistically significantly associated with ovarian cancer risk (HR for the top compared with the bottom quintile: 0.85; 95% CI: 0.66, 1.09; P-trend = 0.17). However, participants in the highest quintiles of flavonol and flavanone intakes had modestly lower risk of ovarian cancer than did participants in the lowest quintile, although the P-trend was not significant [HRs: 0.76 (95% CI: 0.59, 0.98; P-trend = 0.11) and 0.79 (95% CI: 0.63,1.00; P-trend = 0.26), respectively]. The association for flavanone intake was stronger for serous invasive and poorly differentiated tumors (comparable HR: 0.68; 95% CI: 0.50, 0.92; P-heterogeneity = 0.10, P-trend = 0.07) compared with nonserous and less-aggressive tumors. Intakes of other subclasses were not significantly associated with risk. In food-based analyses used to compare subjects who consumed >1 and ≤ 1 cup black tea/d, the HR was 0.68 (95% CI: 0.51, 0.90; P < 0.01).
Higher intakes of flavonols and flavanones as well as black tea consumption may be associated with lower risk of ovarian cancer. Additional prospective studies are required to confirm these findings.
不同膳食类黄酮亚类对上皮性卵巢癌风险的影响尚不清楚,此前仅有少数研究聚焦于几种化合物。
我们前瞻性地研究了习惯性类黄酮亚类摄入量与卵巢癌风险之间的关联。
我们对171,940名护士健康研究及护士健康研究II的参与者进行随访,通过Cox比例风险模型研究总类黄酮及其亚类(黄烷酮、黄酮醇、花青素、黄烷 - 3 - 醇、黄酮和聚合类黄酮)的摄入量与卵巢癌风险之间的关联。摄入量根据每4年收集的经过验证的食物频率问卷进行计算。
在16至22年的随访期间,通过医疗记录确诊了723例卵巢癌病例。在汇总的多变量调整分析中,总类黄酮与卵巢癌风险无统计学显著关联(最高五分位数与最低五分位数相比的风险比:0.85;95%置信区间:0.66, 1.09;P趋势 = 0.17)。然而,黄酮醇和黄烷酮摄入量最高五分位数的参与者患卵巢癌的风险略低于最低五分位数的参与者,尽管P趋势不显著[风险比分别为:0.76(95%置信区间:0.59, 0.98;P趋势 = 0.11)和0.79(95%置信区间:0.63, 1.00;P趋势 = 0.26)]。与非浆液性和侵袭性较弱的肿瘤相比,黄烷酮摄入量与浆液性侵袭性和低分化肿瘤的关联更强(可比风险比:0.68;95%置信区间:0.50, 0.92;P异质性 = 0.10,P趋势 = 0.07)。其他亚类的摄入量与风险无显著关联。在基于食物的分析中,用于比较每天饮用>1杯和≤1杯红茶的受试者,风险比为0.68(95%置信区间:0.51, 0.90;P < 0.01)。
较高的黄酮醇和黄烷酮摄入量以及饮用红茶可能与较低的卵巢癌风险相关。需要更多前瞻性研究来证实这些发现。