Murria Rosa, Palanca Sarai, de Juan Inmaculada, Egoavil Cecilia, Alenda Cristina, García-Casado Zaida, Juan María J, Sánchez Ana B, Santaballa Ana, Chirivella Isabel, Segura Ángel, Hervás David, Llop Marta, Barragán Eva, Bolufer Pascual
Laboratory of Molecular Biology, Service of Clinical Analysis, University Hospital La Fe Valencia, Spain.
Department of Pathology, University General Hospital Alicante, Spain.
Am J Cancer Res. 2014 Dec 15;5(1):375-85. eCollection 2015.
This study investigates the relationship of promoter methylation in tumor suppressor genes with copy-number aberrations (CNA) and with tumor markers in breast cancer (BCs). The study includes 98 formalin fixed paraffin-embedded BCs in which promoter methylation of 24 tumour suppressor genes were assessed by Methylation-Specific Multiplex Ligation-dependent Probe Amplification (MS-MLPA), CNA of 20 BC related genes by MLPA and ER, PR, HER2, CK5/6, CK18, EGFR, Cadherin-E, P53, Ki-67 and PARP expression by immunohistochemistry (IHC). Cluster analysis classed BCs in two groups according to promoter methylation percentage: the highly-methylated group (16 BCs), containing mostly hyper-methylated genes, and the sparsely-methylated group (82 BCs) with hypo-methylated genes. ATM, CDKN2A, VHL, CHFR and CDKN2B showed the greatest differences in the mean methylation percentage between these groups. We found no relationship of the IHC parameters or pathological features with methylation status, except for Catherin-E (p = 0.008). However the highly methylated BCs showed higher CNA proportion than the sparsely methylated BCs (p < 0.001, OR = 1.62; IC 95% [1.26, 2.07]). CDC6, MAPT, MED1, PRMD14 and AURKA showed the major differences in the CNA percentage between the two groups, exceeding the 22%. Methylation in RASSF1, CASP8, DAPK1 and GSTP1 conferred the highest probability of harboring CNA. Our results show a new link between promoter methylation and CNA giving support to the importance of methylation events to establish new BCs subtypes. Our findings may be also of relevance in personalized therapy assessment, which could benefit the hyper methylated BC patients group.
本研究调查了乳腺癌(BC)中肿瘤抑制基因启动子甲基化与拷贝数畸变(CNA)以及肿瘤标志物之间的关系。该研究纳入了98例福尔马林固定石蜡包埋的BC,通过甲基化特异性多重连接依赖探针扩增(MS-MLPA)评估24个肿瘤抑制基因的启动子甲基化,通过MLPA评估20个BC相关基因的CNA,并通过免疫组织化学(IHC)检测雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2(HER2)、细胞角蛋白5/6(CK5/6)、细胞角蛋白18(CK18)、表皮生长因子受体(EGFR)、E-钙黏蛋白(Cadherin-E)、P53、Ki-67和聚(ADP-核糖)聚合酶(PARP)的表达。聚类分析根据启动子甲基化百分比将BC分为两组:高甲基化组(16例BC),主要包含高度甲基化基因;低甲基化组(82例BC),包含低甲基化基因。共济失调毛细血管扩张症突变基因(ATM)、细胞周期蛋白依赖性激酶2A(CDKN2A)、von Hippel-Lindau肿瘤抑制基因(VHL)、细胞周期检查点激酶(CHFR)和细胞周期蛋白依赖性激酶2B(CDKN2B)在两组之间的平均甲基化百分比差异最大。除了E-钙黏蛋白(p = 0.008)外,我们未发现免疫组织化学参数或病理特征与甲基化状态之间存在相关性。然而,高甲基化的BC显示出比低甲基化的BC更高的CNA比例(p < 0.001,比值比[OR] = 1.62;95%置信区间[IC] [1.26, 2.07])。细胞分裂周期蛋白6(CDC6)、微管相关蛋白tau(MAPT)、中介体亚基1(MED1)、含脯氨酸和精氨酸结构域的蛋白14(PRMD14)和极光激酶A(AURKA)在两组之间的CNA百分比差异最大,超过22%。RAS相关结构域家族成员1(RASSF1)、含半胱氨酸的天冬氨酸蛋白水解酶8(CASP8)、死亡相关蛋白激酶1(DAPK1)和谷胱甘肽S-转移酶P1(GSTP1)的甲基化赋予了携带CNA的最高可能性。我们的结果显示了启动子甲基化与CNA之间的新联系,支持了甲基化事件在建立新的BC亚型中的重要性。我们的发现可能在个性化治疗评估中也具有相关性,这可能使高甲基化BC患者群体受益。