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肥胖相关的乳腺癌肿瘤甲基化:与不同结局的可能联系?

Obesity-associated methylation in breast tumors: a possible link to disparate outcomes?

机构信息

Department of Global Health, Emory University Rollins School of Public Health, Atlanta, GA, 30322, USA.

Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.

出版信息

Breast Cancer Res Treat. 2020 May;181(1):135-144. doi: 10.1007/s10549-020-05605-6. Epub 2020 Mar 31.

Abstract

PURPOSE

As a primary risk factor and modifier of breast cancer incidence and prognosis, obesity may contribute to race disparities in breast cancer outcomes. This study examined association between obesity and DNA methylation in non-Hispanic Black and White women diagnosed with breast cancer.

METHODS

Genome-wide DNA methylation was measured in the breast cancer tumor tissue of 96 women using the EPIC array. To examine the association between obesity and tumor methylation, linear regression models were used-regressing methylation β value for each cytosine and guanine (CpG) site on body mass index adjusting for covariates. Significance was set at false discovery rate (FDR) < 0.05. In the top 20 CpG sites, we explored the interactions with race and estrogen receptor (ER) status. We used multivariable Cox-proportional hazard models to examine whether methylation in the top 20 sites was associated with all-cause mortality.

RESULTS

While none of the CpG sites passed the FDR threshold for significance, among the top 20 CpG sites, we observed interactions with race (TOMM20) and ER status (PSMB1, QSOX1 and PHF1). The same CpG sites in TOMM20, PSMB1, and QSOX1 were associated with all-cause mortality.

CONCLUSIONS

We identified novel interactions between obesity-associated methylation and both race and ER status in genes that have been associated with tumor regulation. Our data suggest that dysregulation in two sites may associate with all-cause mortality.

摘要

目的

肥胖是乳腺癌发病和预后的主要风险因素和修饰因素,可能导致乳腺癌结局的种族差异。本研究探讨了肥胖与非西班牙裔黑人和白人女性乳腺癌肿瘤组织中 DNA 甲基化的关系。

方法

使用 EPIC 芯片对 96 名女性的乳腺癌肿瘤组织进行全基因组 DNA 甲基化检测。为了研究肥胖与肿瘤甲基化之间的关系,使用线性回归模型,根据协变量调整每个胞嘧啶和鸟嘌呤(CpG)位点的甲基化β值与体重指数(BMI)进行回归。假发现率(FDR)<0.05 为显著。在前 20 个 CpG 位点中,我们探讨了与种族和雌激素受体(ER)状态的相互作用。我们使用多变量 Cox 比例风险模型来检验前 20 个位点的甲基化是否与全因死亡率相关。

结果

虽然没有一个 CpG 位点通过 FDR 阈值的显著性检验,但在前 20 个 CpG 位点中,我们观察到与种族(TOMM20)和 ER 状态(PSMB1、QSOX1 和 PHF1)的相互作用。TOMM20、PSMB1 和 QSOX1 中的相同 CpG 位点与全因死亡率相关。

结论

我们在与肿瘤调节相关的基因中发现了肥胖相关甲基化与种族和 ER 状态之间的新的相互作用。我们的数据表明,两个位点的失调可能与全因死亡率相关。

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