Varghese Rency S, Zhou Yuan, Chen Yifan, Barefoot Megan E, Tadesse Mahlet, Ressom Habtom W
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5320-5325. doi: 10.1109/EMBC44109.2020.9176036.
In addition to socioeconomic influences, biological factors are believed to play a role in health disparities. In this paper, we investigate miRNA, mRNA, and DNA methylation patterns that contribute to disparities in hepatocellular carcinoma (HCC). This is accomplished by integration of mRNA-Seq, miRNA-Seq, and DNA methylation data we acquired by analysis of liver tissues from 30 HCC patients consisting of European Americans (EAs), African Americans (AAs), and Asian Americans (Asians). Mixed-ANOVA models are applied to identify miRNAs, mRNAs, and DNA methylation sites that are significantly altered in tumor vs. adjacent normal tissues in a race-specific manner. Through integrated analysis, a refined list of differentially expressed mRNAs is obtained by selecting those that are targets of differentially expressed miRNAs and consist of promoter regions that are differentially methylated.
除社会经济影响外，生物因素也被认为在健康差异中起作用。在本文中，我们研究了导致肝细胞癌（HCC）差异的微小RNA（miRNA）、信使核糖核酸（mRNA）和DNA甲基化模式。这是通过整合我们对30例HCC患者肝脏组织分析获得的mRNA测序、miRNA测序和DNA甲基化数据来实现的，这些患者包括欧裔美国人（EA）、非裔美国人（AA）和亚裔美国人（Asian）。应用混合方差分析模型，以种族特异性方式识别在肿瘤组织与相邻正常组织中显著改变的miRNA、mRNA和DNA甲基化位点。通过综合分析，通过选择那些是差异表达miRNA的靶标且包含差异甲基化启动子区域的mRNA，获得了一份经过细化的差异表达mRNA列表。
