Epigenetic Signatures of Centrosomes Are Novel Targets in Cancer Diagnosis: Insights from an Analysis of the Cancer Genome Atlas.

IF 2.5 Q3 GENETICS & HEREDITY Epigenomes Pub Date : 2022-06-02 DOI:10.3390/epigenomes6020014
Zhou Zhang, Wei Zhang
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Abstract

The centrosome plays a central role for cellular signaling and is critical for several fundamental cellular processes in human cells. Centrosome abnormalities have been linked to multiple solid tumors and hematological malignancies. We sought to explore the potential role of the DNA methylation, a critical epigenetic modification, of centrosome-related genes in different cancers. The 450K array DNA methylation data and RNA-seq data were downloaded for ~4000 tumor samples and ~500 normal controls from The Cancer Genome Atlas (TCGA) project, covering 11 major cancer types. Cancers with more than 30 normal controls were retained for analysis. Differentially modified CpGs of centrosome genes were identified, and cancer-specific epigenetic models were developed using a machine-learning algorithm for each cancer type. The association between the methylation level of differential CpGs and the corresponding gene expression, as well as the co-localization of the differential CpGs and cis-regulatory elements were evaluated. In total, 2761 CpGs located on 160 centrosome genes for 6 cancers were included in the analysis. Cancer-specific models demonstrated a high accuracy in terms of the area under the receiver operating characteristic (ROC) curve (AUC > 0.9) in five cancers and showed tissue specificity. This study enhanced our understanding of the epigenetic mechanisms underlying the DNA methylation of centrosome-related genes in cancers, and showed the potential of these epigenetic modifications as novel cancer biomarkers.

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中心体的表观遗传特征是癌症诊断的新目标:癌症基因组图谱分析的启示。
中心体在细胞信号传导中发挥着核心作用,对人类细胞的多个基本细胞过程至关重要。中心体异常与多种实体瘤和血液恶性肿瘤有关。我们试图探索中心体相关基因的 DNA 甲基化(一种关键的表观遗传修饰)在不同癌症中的潜在作用。我们从癌症基因组图谱(TCGA)项目中下载了约4000个肿瘤样本和约500个正常对照的450K阵列DNA甲基化数据和RNA-seq数据,涵盖了11种主要癌症类型。保留超过 30 个正常对照的癌症样本进行分析。确定了中心体基因的不同修饰 CpGs,并使用机器学习算法为每种癌症类型开发了癌症特异性表观遗传模型。评估了差异 CpGs 甲基化水平与相应基因表达之间的关联,以及差异 CpGs 与顺式调控元件的共定位。分析共纳入了 6 种癌症 160 个中心体基因上的 2761 个 CpGs。从接收者操作特征曲线下面积(ROC)(AUC > 0.9)来看,癌症特异性模型在五种癌症中表现出较高的准确性,并显示出组织特异性。这项研究加深了我们对癌症中中心体相关基因DNA甲基化的表观遗传学机制的理解,并显示了这些表观遗传学修饰作为新型癌症生物标志物的潜力。
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来源期刊
Epigenomes
Epigenomes GENETICS & HEREDITY-
CiteScore
3.80
自引率
0.00%
发文量
38
审稿时长
11 weeks
期刊最新文献
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