Wiley Andrew, Katsaros Dionyssios, Chen Haigang, Rigault de la Longrais Irene A, Beeghly Alicia, Puopolo Manuela, Singal Rakesh, Zhang Yan, Amoako Agyenim, Zelterman Daniel, Yu Herbert
Department of Epidemiology and Public Health, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut 06520-8034, USA.
Cancer. 2006 Jul 15;107(2):299-308. doi: 10.1002/cncr.21992.
Methylation-mediated suppression of detoxification, DNA repair, and tumor suppressor genes has been implicated in cancer development and progression. Studies also have indicated that concordant methylation of multiple genes (methylator phenotypes), rather than a single gene, may predict cancer prognosis. The current study was designed to determine whether a methylator phenotype exists in ovarian cancer, whether methylation frequencies differ between malignant ovarian tumors and ovarian tumors with low malignant potential (LMP or borderline), and whether methylation of multiple genes affects patient survival.
The current study included 234 consecutively diagnosed patients with either LMP (n = 19 patients) or malignant (n = 215 patients) ovarian tumors. DNA samples were extracted from fresh frozen tissues and were analyzed for methylation in the promoter region of 6 genes (p16, breast cancer 1 [BRCA1], insulin-like growth factor-binding protein 3 [IGFBP-3], glutathione S-transferase pi 1 [GSTP1], estrogen receptor-alpha [ER-alpha], and human MutL homologue 1 [hMLH1]) by using methylation-specific polymerase chain reaction analysis.
The frequencies of methylation in malignant tumors and LMP tumors were 0% and 0% for GSTP1, respectively; 9% and 0% for hMLH1, respectively; 21% and 5% for BRCA1, respectively; 42% and 21% for p16, respectively; 44% and 26% for IGFBP-3, respectively; and 57% and 42% for ER-alpha, respectively. A methylator phenotype was not detected, but a calculated methylation index (MI) that was based on the total number of genes methylated in each tumor was associated with ovarian cancer risk and progression. A higher MI was associated with malignant tumors (odds ratio, 10.11; 95% confidence interval [95% CI], 1.19-85.75) and disease progression (hazards ratio, 6.53; 95% CI, 1.39-30.65).
Although a methylator phenotype was not identified, the current results suggested that methylation of multiple genes may play an important role in ovarian cancer development and progression and may have clinical implications in prognosis.
甲基化介导的解毒、DNA修复和肿瘤抑制基因的抑制作用与癌症的发生和发展有关。研究还表明,多个基因的协同甲基化(甲基化表型)而非单个基因,可能预测癌症预后。本研究旨在确定卵巢癌中是否存在甲基化表型,恶性卵巢肿瘤与低恶性潜能(LMP或交界性)卵巢肿瘤之间的甲基化频率是否存在差异,以及多个基因的甲基化是否影响患者生存。
本研究纳入了234例连续诊断为LMP(n = 19例)或恶性(n = 215例)卵巢肿瘤的患者。从新鲜冷冻组织中提取DNA样本,并通过甲基化特异性聚合酶链反应分析检测6个基因(p16、乳腺癌1 [BRCA1]、胰岛素样生长因子结合蛋白3 [IGFBP-3]、谷胱甘肽S-转移酶pi 1 [GSTP1]、雌激素受体α [ER-α]和人MutL同源物1 [hMLH1])启动子区域的甲基化情况。
GSTP1在恶性肿瘤和LMP肿瘤中的甲基化频率分别为0%和0%;hMLH1分别为9%和0%;BRCA1分别为21%和5%;p16分别为42%和21%;IGFBP-3分别为44%和26%;ER-α分别为57%和42%。未检测到甲基化表型,但基于每个肿瘤中甲基化基因总数计算的甲基化指数(MI)与卵巢癌风险和进展相关。较高的MI与恶性肿瘤(比值比,10.11;95%置信区间[95%CI],1.19 - 85.75)和疾病进展(风险比,6.53;95%CI,1.39 - 30.65)相关。
虽然未鉴定出甲基化表型,但目前的结果表明多个基因的甲基化可能在卵巢癌的发生和发展中起重要作用,并且可能对预后具有临床意义。