Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, USA.
Am J Pathol. 2013 Jun;182(6):2028-36. doi: 10.1016/j.ajpath.2013.02.040. Epub 2013 Apr 10.
Altered genome methylation is a hallmark of human malignancies. In this study, high-throughput analyses of concordant gene methylation and expression events were performed for 91 human prostate specimens, including prostate tumor (T), matched normal adjacent to tumor (AT), and organ donor (OD). Methylated DNA in genomic DNA was immunoprecipitated with anti-methylcytidine antibodies and detected by Affymetrix human whole genome SNP 6.0 chips. Among the methylated CpG islands, 11,481 islands were found located in the promoter and exon 1 regions of 9295 genes. Genes (7641) were methylated frequently across OD, AT, and T samples, whereas 239 genes were differentially methylated in only T and 785 genes in both AT and T but not OD. Genes with promoter methylation and concordantly suppressed expression were identified. Pathway analysis suggested that many of the methylated genes in T and AT are involved in cell growth and mitogenesis. Classification analysis of the differentially methylated genes in T or OD produced a specificity of 89.4% and a sensitivity of 85.7%. The T and AT groups, however, were only slightly separated by the prediction analysis, indicating a strong field effect. A gene methylation prediction model was shown to predict prostate cancer relapse with sensitivity of 80.0% and specificity of 85.0%. These results suggest methylation patterns useful in predicting clinical outcomes of prostate cancer.
基因组甲基化的改变是人类恶性肿瘤的一个标志。在这项研究中,对 91 个人类前列腺标本(包括前列腺肿瘤(T)、与肿瘤相邻的配对正常组织(AT)和器官供体(OD))进行了一致的基因甲基化和表达事件的高通量分析。用抗甲基胞嘧啶抗体对基因组 DNA 中的甲基化 DNA 进行免疫沉淀,并通过 Affymetrix 人类全基因组 SNP 6.0 芯片进行检测。在甲基化的 CpG 岛中,发现 11481 个岛位于 9295 个基因的启动子和外显子 1 区域。在 OD、AT 和 T 样本中,经常出现基因(7641 个)甲基化,而仅在 T 中差异甲基化的基因有 239 个,在 AT 和 T 中但不在 OD 中差异甲基化的基因有 785 个。鉴定出具有启动子甲基化和一致表达抑制的基因。通路分析表明,T 和 AT 中许多甲基化基因参与细胞生长和有丝分裂。对 T 或 OD 中差异甲基化基因的分类分析产生了 89.4%的特异性和 85.7%的敏感性。然而,T 和 AT 组仅通过预测分析略有分离,表明存在强烈的场效应。基因甲基化预测模型显示,预测前列腺癌复发的敏感性为 80.0%,特异性为 85.0%。这些结果表明,甲基化模式可用于预测前列腺癌的临床结果。