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预诊断的全身适应不良负荷是黑人妇女中在妇女健康随访研究中较差分化和较大尺寸乳腺癌的预测指标。

Prediagnostic Allostatic Load as a Predictor of Poorly Differentiated and Larger Sized Breast Cancers among Black Women in the Women's Circle of Health Follow-Up Study.

机构信息

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.

Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.

出版信息

Cancer Epidemiol Biomarkers Prev. 2020 Jan;29(1):216-224. doi: 10.1158/1055-9965.EPI-19-0712. Epub 2019 Nov 12.

Abstract

BACKGROUND

Few studies have empirically tested the association of allostatic load (AL) with breast cancer clinicopathology. The aim of this study was to examine the association of AL, measured using relevant biomarkers recorded in medical records before breast cancer diagnosis, with unfavorable tumor clinicopathologic features among Black women.

METHODS

In a sample of 409 Black women with nonmetastatic breast cancer who are enrolled in the Women's Circle of Health Follow-Up Study, we estimated prediagnostic AL using two measures: AL measure 1 [lipid profile-based-assessed by systolic and diastolic blood pressure (SBP, DBP), high-density lipoprotein, low-density lipoprotein, total cholesterol, triglycerides, and glucose levels; waist circumference; and use of diabetes, hypertension, or hypercholesterolemia medication] and AL measure 2 (inflammatory index-based-assessed by SBP, DBP, glucose, and albumin levels; estimated glomerular filtration rate; body mass index; waist circumference; and use of medications previously described). We used Cohen's statistic to assess agreement between the two AL measures and multivariable logistic models to assess the associations of interest.

RESULTS

AL measures 1 and 2 moderately agreed ( = 0.504). Higher prediagnostic AL predicted higher grade (poorly differentiated vs. well/moderately differentiated) using AL measure 1 [OR = 2.16; 95% confidence interval (CI), 1.18-3.94] and AL measure 2 (OR = 1.60; 95% CI, 1.02-2.51), and larger tumor size (≥2 cm vs. <2 cm; OR = 1.58; 95% CI, 1.01-2.46) using AL measure 2 only.

CONCLUSIONS

Elevated prediagnostic AL might contribute to more unfavorable breast cancer clinicopathology.

IMPACT

Addressing elevated prediagnostic levels of AL has potentially important clinical implications.

摘要

背景

很少有研究从实证角度检验累积性应激(allostatic load,AL)与乳腺癌临床病理之间的关系。本研究旨在检测在被诊断患有乳腺癌之前,通过病历中记录的相关生物标志物测量的 AL 与黑人女性中不良肿瘤临床病理特征之间的关系。

方法

在参加妇女健康随访研究(Women's Circle of Health Follow-Up Study)的 409 名患有非转移性乳腺癌的黑人女性中,我们使用两种方法来估计诊断前的 AL:AL 测量 1[基于血脂谱评估的指标,包括收缩压和舒张压(systolic and diastolic blood pressure,SBP、DBP)、高密度脂蛋白、低密度脂蛋白、总胆固醇、甘油三酯和血糖水平;腰围;以及使用糖尿病、高血压或高胆固醇血症药物]和 AL 测量 2(基于炎症指数评估的指标,包括 SBP、DBP、血糖和白蛋白水平;估算肾小球滤过率;体重指数;腰围;以及之前描述的药物使用)。我们使用 Cohen 统计量评估了这两种 AL 测量方法之间的一致性,并使用多变量逻辑模型评估了相关关联。

结果

AL 测量 1 和 2 之间存在中度一致性(=0.504)。较高的预诊断 AL 预测了更高的分级(低分化与高/中分化),使用 AL 测量 1[比值比(OR)=2.16;95%置信区间(CI),1.18-3.94]和 AL 测量 2(OR = 1.60;95% CI,1.02-2.51),以及更大的肿瘤大小(≥2 cm 与<2 cm;OR = 1.58;95% CI,1.01-2.46),仅使用 AL 测量 2。

结论

升高的预诊断 AL 可能导致更不利的乳腺癌临床病理。

影响

解决升高的预诊断 AL 水平可能具有重要的临床意义。

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