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Integrative Analysis of DNA Methylation and Gene Expression Patterns in Tissues from Hepatocellular Carcinoma Patients

机译:肝细胞癌患者组织中DNA甲基化和基因表达模式的整合分析

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Compared to European Americans (EAs), the incidence of Hepatocellular Carcinoma (HCC) is higher in African Americans (AAs) and is associated with more advanced tumor stage at diagnosis and lower survival rates. Despite the importance of DNA methylation in neoplastic transformation, the mechanisms of epigenetic disparity between AAs and EAs are yet to be fully realized in HCC. In this paper we present an integrated analysis of genome-wide DNA methylation and gene expression in a racially diverse cohort of 16 HCC patients using the Illumina MethylationEPIC BeadChip and HiSeq 4000 platforms. A mixed-effects ANOVA model was applied to compare molecular changes between tumors and adjacent non-cancerous liver tissues. In an effort to control for underlying variation in tumor composition, we used DNA methylation to assess measurements of tumor purity and adjusted our analysis to account for potential bias due to cell mixture effects. As a result, we were able to identify 17,249 differentially methylated regions (DMRs) and 981 differentially methylated and expressed genes (DM+DE) associated with HCC. Further, 14,912 DMRs and 637 DM+DE genes were identified as being associated with the EA race and 3,257 DMRs and 156 DM+DE genes identified as being associated with the AA race in HCC. We were able to identify 20 candidate genes as potential tumor suppressors in HCC, including TBX15, IGF1R, WDR66, ITPKB, CFTR, KCNA3, CXCL12, EA-specific MT1L, PIK23R5, and AA-specific GHR and ADRA2B. In summary, we have identified differentially methylated and expressed markers of HCC that are specific to AA and EA racial groups. These findings offer insights into the molecular mechanisms of epigenetic regulation in HCC progression as well as identify potential markers to address racial disparity in precision therapy and diagnosis.
机译:相比于欧洲的美国人(EAS),肝细胞癌(HCC)是非裔美国人(AAS)更高,且能够与诊断更先进的肿瘤分期和存活率更低相关的发病率。尽管DNA甲基化在恶性转化的重要性,AAS和EAS之间的差距后生的机制尚未完全实现了肝癌。在本文中,我们在使用Illumina MethylationEPIC BeadChip芯片和HiSeq 4000个平台16名HCC患者不同种族群体呈现的全基因组DNA甲基化和基因表达的综合分析。甲混合效应的ANOVA模型应用于比较肿瘤和邻近的非癌肝组织之间的分子变化。在努力控制在肿瘤组合物标的变体中,我们使用DNA甲基化,以评估肿瘤纯度的测量和调整我们的分析以考虑潜在的偏差由于细胞混合物的效果。其结果是,我们能够识别17,249差异甲基化区域(DMR中),并与肝癌相关的981个差异甲基化和基因表达(DM + DE)。此外,14912点的DMR和637个DM + DE基因鉴定为与所述EA种族和3257米的DMR和被识别为与在HCC的AA比赛相关联的156个DM + DE基因相关。我们能够确定20个候选基因在肝癌潜在的肿瘤抑制基因,包括TBX15,IGF1R,WDR66,ITPKB,CFTR,KCNA3,CXCL12,EA-具体MT1L,PIK23R5和AA-具体GHR和ADRA2B。总之,我们已经确定差异甲基化,并表示特定于AA和EA种族群体肝癌标志物。这些发现提供见解表观遗传调控的分子机制在HCC的进展,以及找出潜在的标记,以解决在精密诊断与治疗的种族差异。

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