McCullough Lauren E, Chen Jia, Cho Yoon Hee, Khankari Nikhil K, Bradshaw Patrick T, White Alexandra J, Garbowski Gail, Teitelbaum Susan L, Terry Mary Beth, Neugut Alfred I, Hibshoosh Hanina, Santella Regina M, Gammon Marilie D
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Breast Cancer Res Treat. 2016 Feb;156(1):183-94. doi: 10.1007/s10549-016-3724-0. Epub 2016 Mar 5.
Mechanisms underlying the poor breast cancer prognosis among obese women are unresolved. DNA methylation levels are linked to obesity and to breast cancer survival. We hypothesized that obesity may work in conjunction with the epigenome to alter prognosis. Using a population-based sample of women diagnosed with first primary breast cancer, we examined modification of the obesity-mortality association by DNA methylation. In-person interviews were conducted approximately 3 months after diagnosis. Weight and height were assessed [to estimate body mass index (BMI)], and blood samples collected. Promoter methylation of 13 breast cancer-related genes was assessed in archived tumor by methylation-specific PCR and Methyl Light. Global methylation in white blood cell DNA was assessed by analysis of long interspersed elements-1 (LINE-1) and with the luminometric methylation assay (LUMA). Vital status among 1308 patients (with any methylation biomarker and complete BMI assessment) was determined after approximately 15 years of follow-up (N = 194/441 deaths due to breast cancer-specific/all-cause mortality). We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) using two-sided p values of 0.05. Breast cancer-specific mortality was higher among obese (BMI ≥ 30) patients with promoter methylation in APC (HR = 2.47; 95 % CI = 1.43-4.27) and TWIST1 (HR = 4.25; 95 % CI = 1.43-12.70) in breast cancer tissue. Estimates were similar, but less pronounced, for all-cause mortality. Increased all-cause (HR = 1.81; 95 % CI = 1.19-2.74) and breast cancer-specific (HR = 2.61; 95 % CI = 1.45-4.69) mortality was observed among obese patients with the lowest LUMA levels. The poor breast cancer prognosis associated with obesity may depend on methylation profiles, which warrants further investigation.
肥胖女性乳腺癌预后较差的潜在机制尚未明确。DNA甲基化水平与肥胖及乳腺癌生存相关。我们推测肥胖可能与表观基因组共同作用以改变预后。利用基于人群的首次原发性乳腺癌诊断女性样本,我们研究了DNA甲基化对肥胖与死亡率关联的影响。在诊断后约3个月进行面对面访谈。评估体重和身高(以估计体重指数BMI)并采集血样。通过甲基化特异性PCR和Methyl Light法评估存档肿瘤中13个乳腺癌相关基因的启动子甲基化。通过分析长散在重复序列-1(LINE-1)和采用荧光定量甲基化检测法(LUMA)评估白细胞DNA中的整体甲基化。在约15年的随访后确定了1308例患者(有任何甲基化生物标志物且BMI评估完整)的生命状态(N = 194/441例因乳腺癌特异性/全因死亡率死亡)。我们使用Cox比例风险回归,采用双侧p值0.05来估计风险比(HRs)和95%置信区间(CIs)。在乳腺癌组织中,APC(HR = 2.47;95%CI = 1.43 - 4.27)和TWIST1(HR = 4.25;95%CI = 1.43 - 12.70)启动子甲基化的肥胖(BMI≥30)患者中,乳腺癌特异性死亡率更高。对于全因死亡率,估计结果相似但不太显著。在LUMA水平最低的肥胖患者中观察到全因死亡率(HR = 1.81;95%CI = 1.19 - 2.74)和乳腺癌特异性死亡率(HR = 2.61;95%CI = 1.45 - 4.69)增加。与肥胖相关的乳腺癌预后不良可能取决于甲基化谱,这值得进一步研究。