代谢相关指标与乳腺癌风险的纵向变化:一项普通人群研究

IF 5.6 1区 医学 Q1 Medicine
Fan Zhang, Geertruida H de Bock, Gijs W Landman, Qingying Zhang, Bert van der Vegt, Grigory Sidorenkov
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引用次数: 0

摘要

背景:代谢相关指标与乳腺癌风险的关系已被广泛研究,但大多基于单一值。成年期体重增加与患乳腺癌的风险增加有关,而与葡萄糖和脂质变化的关系在很大程度上仍不清楚。方法:年龄在20-80岁的女性从基于一般人群的生命线队列中纳入,并进行了两次评估:2007-2013年和2014-2017年。以下指标在两个时期各测量一次:身体质量指数(BMI)、腰高比(WHtR)、血红蛋白A1c (HbA1c)、高密度脂蛋白胆固醇(HDL- c)、总胆固醇(TC)和甘油三酯(TG)。有癌症病史、随访时间少于12个月或在评估期间怀孕的女性被排除在外。计算两个时期每个指标的年平均变化(Mean ACs),并将其进一步分为减少、不变和增加三组。采用Cox比例风险模型来估计其与乳腺癌发生的关联,报告校正风险比(aHR), 95%置信区间(CI)。结果:在中位92.3个月的随访期间,58,785名女性中有1,202名被诊断患有乳腺癌。在基线BMI为2的女性中,BMI降低与乳腺癌风险呈负相关,而对照组没有变化(aHR: 0.75, 95% CI: 0.56-0.99)。此外,相对于无变化组,乳腺癌风险与HbA1c (aHR: 1.23, 95% CI: 1.07-1.40)和TG (aHR: 1.26, 95% CI: 1.06-1.49)的降低呈正相关。结论:随着时间的推移,来自普通人群的真实世界数据集中的变化突出了减肥的益处以及与乳腺癌风险相关的血糖和TG降低的危害。这些纵向模式受年龄、BMI和初始值的影响,强调了个性化代谢健康管理的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Longitudinal changes in metabolism-related metrics and breast cancer risk: a general population study.

Longitudinal changes in metabolism-related metrics and breast cancer risk: a general population study.

Longitudinal changes in metabolism-related metrics and breast cancer risk: a general population study.

Longitudinal changes in metabolism-related metrics and breast cancer risk: a general population study.

Background: Metabolism-related metrics have been widely investigated for their relationship with breast cancer risk but are mostly based on single values. Weight gain during adulthood has been related to an increased risk of breast cancer, while the relationship with changes in glucose and lipids remain largely unknown.

Methods: Women aged 20-80 were included from the general population-based Lifelines cohort when they had two assessments: 2007-2013 and 2014-2017. The following metrics were measured once at each of the two periods: body mass index (BMI), waist to height ratio (WHtR), hemoglobin A1c (HbA1c), HDL cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG). Women with a history of cancer, follow up less than 12 months, or who were pregnant during assessments were excluded. Mean annual changes (mean ACs) were calculated for each metric between the two periods, and further categorized into three groups - decrease, no change, and increase. Cox proportional hazards models were conducted to estimate their associations with breast cancer occurrence, reporting adjusted hazard ratios (aHR) with 95% confidence intervals (CI).

Results: During a median of 92.3 months follow-up, 1,202 of 58,785 women were diagnosed with breast cancer. Among women with a baseline BMI < 25 kg/m2, a negative association between BMI decrease and breast cancer risk was observed in contrast to their counterparts with no change (aHR: 0.75, 95% CI: 0.56-0.99). In addition, relative to the no change group, breast cancer risk was positively associated with reductions in HbA1c (aHR: 1.23, 95% CI: 1.07-1.40) and TG (aHR: 1.26, 95% CI: 1.06-1.49).

Conclusions: Changes over time in this real-world dataset from the general population highlight the benefits of weight loss and the harms of decreased glucose and TG in relation to breast cancer risk. These longitudinal patterns are affected by age, BMI, and initial values, emphasizing the importance of personalized metabolic health management.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
76
审稿时长
12 weeks
期刊介绍: Breast Cancer Research, an international, peer-reviewed online journal, publishes original research, reviews, editorials, and reports. It features open-access research articles of exceptional interest across all areas of biology and medicine relevant to breast cancer. This includes normal mammary gland biology, with a special emphasis on the genetic, biochemical, and cellular basis of breast cancer. In addition to basic research, the journal covers preclinical, translational, and clinical studies with a biological basis, including Phase I and Phase II trials.
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