Lotesto Mary J, Wallace Christopher J, Raimondi Stacey L
Department of Biology, Elmhurst University, Elmhurst, IL, USA.
Epigenet Insights. 2020 Oct 20;13:2516865720964802. doi: 10.1177/2516865720964802. eCollection 2020.
It is well documented that cancer cells have abnormal methylation patterns often caused by faulty methylating machinery. Specifically, , and are 3 genes known to be aberrantly methylated in cancer cells. These genes are well documented for their role in signaling pathways involved with cell proliferation, adhesion, migration, and other signs of tumor progression. Therefore, changes in gene expression of , and due to aberrant methylation can lead to profound changes in cellular function and tumor formation. In order to ensure that previous and methylation studies match what is observed in the clinic, we utilized a bioinformatics approach to complete an extensive analysis of methylation patterns of these 3 genes, analyzing over 5000 patient samples, across all cancers for which both normal and tumor tissues were available. Specifically, we analyzed overall and site-specific methylation patterns, at CpG islands and shores, of all 3 genes across 14 cancer types. Furthermore, we compared these methylation levels in normal and tumor samples of both matched and unmatched patient samples in order to determine any differences between groups. Finally, we examined whether an aberrant DNA methyltransferase, , known to be expressed in cancer cells and to alter methylation patterns correlated with altered overall and site-specific methylation of , and in these patient samples. Our results indicate that methylation patterns of and were unexpectedly varied across tumors, contrary to previous studies performed , while showed the expected hypomethylation pattern in tumor tissues. We also observed some correlation between expression and methylation patterns of these genes, but patterns were inconsistent. Taken together, these results emphasize the necessity for and patient studies rather than a complete reliance on data and provide multiple areas of future research.
有充分文献记载,癌细胞具有异常的甲基化模式,这通常是由有缺陷的甲基化机制引起的。具体而言,[此处原文缺失具体基因名称]、[此处原文缺失具体基因名称]和[此处原文缺失具体基因名称]是已知在癌细胞中发生异常甲基化的3个基因。这些基因在涉及细胞增殖、黏附、迁移和肿瘤进展的其他迹象的信号通路中的作用有充分文献记载。因此,由于异常甲基化导致的[此处原文缺失具体基因名称]、[此处原文缺失具体基因名称]和[此处原文缺失具体基因名称]基因表达变化可导致细胞功能和肿瘤形成的深刻变化。为了确保先前对[此处原文缺失具体基因名称]和[此处原文缺失具体基因名称]的甲基化研究与临床观察结果相符,我们采用生物信息学方法对这3个基因的甲基化模式进行了广泛分析,分析了超过5000份患者样本,涵盖所有有正常组织和肿瘤组织的癌症类型。具体而言,我们分析了14种癌症类型中所有3个基因在CpG岛和海岸的总体和位点特异性甲基化模式。此外,我们比较了匹配和不匹配患者样本的正常和肿瘤样本中的这些甲基化水平,以确定组间的任何差异。最后,我们研究了一种已知在癌细胞中表达并改变甲基化模式的异常DNA甲基转移酶[此处原文缺失具体酶名称]是否与这些患者样本中[此处原文缺失具体基因名称]、[此处原文缺失具体基因名称]和[此处原文缺失具体基因名称]的总体和位点特异性甲基化改变相关。我们的结果表明,与之前进行的研究相反,[此处原文缺失具体基因名称]和[此处原文缺失具体基因名称]的甲基化模式在不同肿瘤中出人意料地各不相同,而[此处原文缺失具体基因名称]在肿瘤组织中显示出预期的低甲基化模式。我们还观察到[此处原文缺失具体酶名称]表达与这些基因的甲基化模式之间存在一些相关性,但模式并不一致。综上所述,这些结果强调了对[此处原文缺失具体基因名称]和患者进行研究的必要性,而不是完全依赖[此处原文缺失具体数据类型]数据,并提供了多个未来研究领域。