Stefansson Olafur A, Moran Sebastian, Gomez Antonio, Sayols Sergi, Arribas-Jorba Carlos, Sandoval Juan, Hilmarsdottir Holmfridur, Olafsdottir Elinborg, Tryggvadottir Laufey, Jonasson Jon G, Eyfjord Jorunn, Esteller Manel
Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute, L'Hospitalet, Barcelona, Catalonia 08908, Spain.
The Cancer Research Laboratory, Medical Faculty, University of Iceland, Reykjavik, Iceland.
Mol Oncol. 2015 Mar;9(3):555-68. doi: 10.1016/j.molonc.2014.10.012. Epub 2014 Nov 5.
In cancer, epigenetic states are deregulated and thought to be of significance in cancer development and progression. We explored DNA methylation-based signatures in association with breast cancer subtypes to assess their impact on clinical presentation and patient prognosis. DNA methylation was analyzed using Infinium 450K arrays in 40 tumors and 17 normal breast samples, together with DNA copy number changes and subtype-specific markers by tissue microarrays. The identified methylation signatures were validated against a cohort of 212 tumors annotated for breast cancer subtypes by the PAM50 method (The Cancer Genome Atlas). Selected markers were pyrosequenced in an independent validation cohort of 310 tumors and analyzed with respect to survival, clinical stage and grade. The results demonstrate that DNA methylation patterns linked to the luminal-B subtype are characterized by CpG island promoter methylation events. In contrast, a large fraction of basal-like tumors are characterized by hypomethylation events occurring within the gene body. Based on these hallmark signatures, we defined two DNA methylation-based subtypes, Epi-LumB and Epi-Basal, and show that they are associated with unfavorable clinical parameters and reduced survival. Our data show that distinct mechanisms leading to changes in CpG methylation states are operative in different breast cancer subtypes. Importantly, we show that a few selected proxy markers can be used to detect the distinct DNA methylation-based subtypes thereby providing valuable information on disease prognosis.
在癌症中,表观遗传状态失调,被认为在癌症发生和发展过程中具有重要意义。我们探索了与乳腺癌亚型相关的基于DNA甲基化的特征,以评估它们对临床表现和患者预后的影响。使用Infinium 450K芯片对40个肿瘤样本和17个正常乳腺样本进行DNA甲基化分析,并通过组织微阵列分析DNA拷贝数变化和亚型特异性标志物。通过PAM50方法(癌症基因组图谱)对212个标注了乳腺癌亚型的肿瘤样本进行验证,以确认所识别的甲基化特征。在310个肿瘤样本的独立验证队列中对选定的标志物进行焦磷酸测序,并分析其与生存率、临床分期和分级的关系。结果表明,与管腔B亚型相关的DNA甲基化模式以CpG岛启动子甲基化事件为特征。相比之下,很大一部分基底样肿瘤的特征是基因体内发生低甲基化事件。基于这些标志性特征,我们定义了两种基于DNA甲基化的亚型,即Epi-LumB和Epi-Basal,并表明它们与不良临床参数和生存率降低相关。我们的数据表明,导致CpG甲基化状态改变的不同机制在不同的乳腺癌亚型中起作用。重要的是,我们表明一些选定的替代标志物可用于检测基于DNA甲基化的不同亚型,从而为疾病预后提供有价值的信息。