Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, University of Manchester, Manchester, United Kingdom.
Cathie Marsh Institute for Social Research, School of Social Sciences, Faculty of Humanities, University of Manchester, Manchester, United Kingdom.
JAMA Netw Open. 2020 Apr 1;3(4):e203760. doi: 10.1001/jamanetworkopen.2020.3760.
The association between noninherited factors, including lifestyle factors, and the risk of breast cancer (BC) in women and the association between BC and genetic makeup are only partly characterized. A study using data on current genetic stratification may help in the characterization.
To examine the association between healthier lifestyle habits and BC risk in genetically predisposed groups.
DESIGN, SETTING, AND PARTICIPANTS: Data from UK Biobank, a prospective cohort comprising 2728 patients with BC and 88 489 women without BC, were analyzed. The data set used for the analysis was closed on March 31, 2019. The analysis was restricted to postmenopausal white women. Classification of healthy lifestyle was based on Cancer Research UK guidance (healthy weight, regular exercise, no use of hormone replacement therapy for more than 5 years, no oral contraceptive use, and alcohol intake <3 times/wk). Three groups were established: favorable (≥4 healthy factors), intermediate (2-3 healthy factors), and unfavorable (≤1 healthy factor). The genetic contribution was estimated using the polygenic risk scores of 305 preselected single-nucleotide variations. Polygenic risk scores were categorized into 3 tertiles (low, intermediate, and high).
Cox proportional hazards regression was used to assess the hazard ratios (HRs) of the lifestyles and polygenic risk scores associated with a malignant neoplasm of the breast.
Mean (SD) age of the 2728 women with BC was 60.1 (5.5) years, and mean age of the 88 489 women serving as controls was 59.4 (4.9) years. The median follow-up time for the cohort was 10 years (maximum 13 years) (interquartile range, 9.44-10.82 years). Women with BC had a higher body mass index (relative risk [RR], 1.14; 95% CI, 1.05-1.23), performed less exercise (RR, 1.12; 95% CI, 1.01-1.25), used hormonal replacement therapy for longer than 5 years (RR, 1.23; 95% CI, 1.13-1.34), used more oral contraceptives (RR, 1.02; 95% CI, 0.93-1.12), and had greater alcohol intake (RR, 1.11; 95% CI, 1.03-1.19) compared with the controls. Overall, 20 657 women (23.3%) followed a favorable lifestyle, 60 195 women (68.0%) followed an intermediate lifestyle, and 7637 women (8.6%) followed an unfavorable lifestyle. The RR of the highest genetic risk group was 2.55 (95% CI, 2.28-2.84), and the RR of the most unfavorable lifestyle category was 1.44 (95% CI, 1.25-1.65). The association of lifestyle and BC within genetic subgroups showed lower HRs among women following a favorable lifestyle compared with intermediate and unfavorable lifestyles among all of the genetic groups: women with an unfavorable lifestyle had a higher risk of BC in the low genetic group (HR, 1.63; 95% CI, 1.13-2.34), intermediate genetic group (HR, 1.94; 95% CI, 1.46-2.58), and high genetic group (HR, 1.39; 95% CI, 1.11-1.74) compared with the reference group of favorable lifestyle. Intermediate lifestyle was also associated with a higher risk of BC among the low genetic group (HR, 1.40; 95% CI, 1.09-1.80) and the intermediate genetic group (HR, 1.37; 95% CI, 1.12-1.68).
In this cohort study of data on women in the UK Biobank, a healthier lifestyle with more exercise, healthy weight, low alcohol intake, no oral contraceptive use, and no or limited hormonal replacement therapy use appeared to be associated with a reduced level of risk for BC, even if the women were at higher genetic risk for BC.
非遗传因素(包括生活方式因素)与乳腺癌(BC)风险之间的关联以及 BC 与遗传构成之间的关联仅部分得到描述。使用当前遗传分层数据的研究可能有助于进行特征描述。
研究在遗传倾向的人群中,更健康的生活习惯与 BC 风险之间的关联。
设计、设置和参与者:对 UK Biobank 的数据分析,这是一个包含 2728 名 BC 患者和 88489 名无 BC 的女性的前瞻性队列。分析使用的数据于 2019 年 3 月 31 日关闭。分析仅限于绝经后白人女性。健康生活方式的分类基于英国癌症研究(健康体重、定期锻炼、不使用激素替代疗法超过 5 年、不使用口服避孕药和饮酒 <3 次/周)的指导。建立了三个组:有利(≥4 个健康因素)、中间(2-3 个健康因素)和不利(≤1 个健康因素)。使用 305 个预先选择的单核苷酸变异的多基因风险评分来估计遗传贡献。多基因风险评分分为 3 个三分位数(低、中、高)。
使用 Cox 比例风险回归评估与乳腺癌相关的生活方式和多基因风险评分的危害比(HRs)。
2728 名 BC 女性的平均(SD)年龄为 60.1(5.5)岁,88489 名作为对照的女性的平均年龄为 59.4(4.9)岁。该队列的中位随访时间为 10 年(最长 13 年)(四分位间距,9.44-10.82 年)。与对照组相比,BC 患者的体重指数(RR,1.14;95%CI,1.05-1.23)更高,运动(RR,1.12;95%CI,1.01-1.25)较少,激素替代疗法使用时间超过 5 年(RR,1.23;95%CI,1.13-1.34),使用更多的口服避孕药(RR,1.02;95%CI,0.93-1.12),饮酒更多(RR,1.11;95%CI,1.03-1.19)。总体而言,20657 名女性(23.3%)遵循有利的生活方式,60195 名女性(68.0%)遵循中间的生活方式,7637 名女性(8.6%)遵循不利的生活方式。最高遗传风险组的 RR 为 2.55(95%CI,2.28-2.84),最不利生活方式类别的 RR 为 1.44(95%CI,1.25-1.65)。遗传亚组内的生活方式和 BC 之间的关联显示,在所有遗传组中,与中间和不利生活方式相比,遵循有利生活方式的女性的 HR 较低:生活方式不利的女性在低遗传组(HR,1.63;95%CI,1.13-2.34)、中遗传组(HR,1.94;95%CI,1.46-2.58)和高遗传组(HR,1.39;95%CI,1.11-1.74)中患 BC 的风险更高与参考组的有利生活方式相比。中间生活方式也与低遗传组(HR,1.40;95%CI,1.09-1.80)和中间遗传组(HR,1.37;95%CI,1.12-1.68)的 BC 风险较高相关。
在这项对英国生物银行女性数据的队列研究中,更多的锻炼、健康体重、低酒精摄入、不使用口服避孕药和不使用或有限的激素替代疗法的更健康的生活方式似乎与 BC 风险水平降低相关,即使女性的 BC 遗传风险较高。