Zhao Yangxing, Xue Feng, Sun Jinfeng, Guo Shicheng, Zhang Hongyu, Qiu Bijun, Geng Junfeng, Gu Jun, Zhou Xiaoyu, Wang Wei, Zhang Zhenfeng, Tang Ning, He Yinghua, Yu Jian, Xia Qiang
State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, LN 2200/25,Xietu Road, Shanghai, 200032 China.
Department of Liver Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127 China.
Clin Epigenetics. 2014 Dec 2;6(1):30. doi: 10.1186/1868-7083-6-30. eCollection 2014.
An important model of hepatocellular carcinoma (HCC) that has been described in southeast Asia includes the transition from chronic hepatitis B infection (CHB) to liver cirrhosis (LC) and, finally, to HCC. The genome-wide methylation profiling of plasma cell-free DNA (cfDNA) has not previously been used to assess HCC development. Using MethylCap-seq, we analyzed the genome-wide cfDNA methylation profiles by separately pooling healthy control (HC), CHB, LC and HCC samples and independently validating the library data for the tissue DNA and cfDNA by MSP, qMSP and Multiplex-BSP-seq.
The dynamic features of cfDNA methylation coincided with the natural course of HCC development. Data mining revealed the presence of 240, 272 and 286 differentially methylated genes (DMGs) corresponding to the early, middle and late stages of HCC progression, respectively. The validation of the DNA and cfDNA results in independent tissues identified three DMGs, including ZNF300, SLC22A20 and SHISA7, with the potential for distinguishing between CHB and LC as well as between LC and HCC. The area under the curve (AUC) ranged from 0.65 to 0.80, and the odds ratio (OR) values ranged from 5.18 to 14.2.
Our data revealed highly dynamic cfDNA methylation profiles in support of HBV-related HCC development. We have identified a panel of DMGs that are predictive for the early, middle and late stages of HCC development, and these are potential markers for the early detection of HCC as well as the screening of high-risk populations.
在东南亚地区描述的一种重要的肝细胞癌(HCC)模型包括从慢性乙型肝炎感染(CHB)转变为肝硬化(LC),最终发展为HCC。此前尚未使用血浆游离DNA(cfDNA)的全基因组甲基化谱来评估HCC的发展。我们使用甲基化捕获测序(MethylCap-seq),通过分别汇集健康对照(HC)、CHB、LC和HCC样本,分析了全基因组cfDNA甲基化谱,并通过甲基化特异性PCR(MSP)、定量甲基化特异性PCR(qMSP)和多重亚硫酸氢盐测序(Multiplex-BSP-seq)独立验证了组织DNA和cfDNA的文库数据。
cfDNA甲基化的动态特征与HCC发展的自然进程一致。数据挖掘显示,分别有240、272和286个差异甲基化基因(DMG)对应于HCC进展的早期、中期和晚期。在独立组织中对DNA和cfDNA结果的验证确定了三个DMG,包括锌指蛋白300(ZNF300)、溶质载体家族22成员20(SLC22A20)和含九蛋白结构域7(SHISA7),它们有可能区分CHB和LC以及LC和HCC。曲线下面积(AUC)范围为0.65至0.80,优势比(OR)值范围为5.18至14.2。
我们的数据揭示了高度动态的cfDNA甲基化谱,支持HBV相关HCC的发展。我们已经确定了一组DMG,它们可预测HCC发展的早期、中期和晚期,这些是早期检测HCC以及筛查高危人群潜在标志物。