Shivakumar Manu, Lee Younghee, Bang Lisa, Garg Tullika, Sohn Kyung-Ah, Kim Dokyoon
Biomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA, USA.
Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
BMC Med Genomics. 2017 May 24;10(Suppl 1):30. doi: 10.1186/s12920-017-0269-y.
One of the fundamental challenges in cancer is to detect the regulators of gene expression changes during cancer progression. Through transcriptional silencing of critical cancer-related genes, epigenetic change such as DNA methylation plays a crucial role in cancer. In addition, miRNA, another major component of epigenome, is also a regulator at the post-transcriptional levels that modulate transcriptome changes. However, a mechanistic role of synergistic interactions between DNA methylation and miRNA as epigenetic regulators on transcriptomic changes and its association with clinical outcomes such as survival have remained largely unexplored in cancer.
In this study, we propose an integrative framework to identify epigenetic interactions between methylation and miRNA associated with transcriptomic changes. To test the utility of the proposed framework, the bladder cancer data set, including DNA methylation, miRNA expression, and gene expression data, from The Cancer Genome Atlas (TCGA) was analyzed for this study.
First, we found 120 genes associated with interactions between the two epigenomic components. Then, 11 significant epigenetic interactions between miRNA and methylation, which target E2F3, CCND1, UTP6, CDADC1, SLC35E3, METRNL, TPCN2, NACC2, VGLL4, and PTEN, were found to be associated with survival. To this end, exploration of TCGA bladder cancer data identified epigenetic interactions that are associated with survival as potential prognostic markers in bladder cancer.
Given the importance and prevalence of these interactions of epigenetic events in bladder cancer it is timely to understand further how different epigenetic components interact and influence each other.
癌症的一个基本挑战是在癌症进展过程中检测基因表达变化的调节因子。通过关键癌症相关基因的转录沉默,诸如DNA甲基化等表观遗传变化在癌症中起着至关重要的作用。此外,miRNA作为表观基因组的另一个主要组成部分,也是转录后水平上调节转录组变化的调节因子。然而,DNA甲基化和miRNA作为表观遗传调节因子之间的协同相互作用对转录组变化的机制作用及其与生存等临床结果的关联在癌症中仍 largely 未被探索。
在本研究中,我们提出了一个综合框架来识别与转录组变化相关的甲基化和miRNA之间的表观遗传相互作用。为了测试所提出框架的实用性,对来自癌症基因组图谱(TCGA)的膀胱癌数据集进行了分析,该数据集包括DNA甲基化、miRNA表达和基因表达数据。
首先,我们发现了120个与这两个表观基因组成分之间相互作用相关的基因。然后,发现靶向E2F3、CCND1、UTP6、CDADC1、SLC35E3、METRNL、TPCN2、NACC2、VGLL4和PTEN的miRNA与甲基化之间的11种显著表观遗传相互作用与生存相关。为此,对TCGA膀胱癌数据的探索确定了与生存相关的表观遗传相互作用作为膀胱癌潜在的预后标志物。
鉴于这些表观遗传事件在膀胱癌中相互作用的重要性和普遍性,进一步了解不同表观遗传成分如何相互作用和相互影响是及时的。