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Genome-wide discovery and validation of diagnostic DNA methylation-based biomarkers for hepatocellular cancer detection in circulating cell free DNA

机译:基因组的发现和验证基于DNA甲基化的生物标志物在循环无细胞中肝癌检测中的肝细胞癌检测

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Hepatocellular carcinoma (HCC), the most prevalent form of liver cancer, is growing in incidence but treatment options remain limited, particularly for late stage disease. As liver cirrhosis is the principal risk state for HCC development, markers to detect early HCC within this patient population are urgently needed. Perturbation of epigenetic marks, such as DNA methylation (5mC), is a hallmark of human cancers, including HCC. Identification of regions with consistently altered 5mC levels in circulating cell free DNA (cfDNA) during progression from cirrhosis to HCC could therefore serve as markers for development of minimally-invasive screens of early HCC diagnosis and surveillance. Methods : To discover DNA methylation derived biomarkers of HCC in the background of liver cirrhosis, we profiled genome-wide 5mC landscapes in patient cfDNA using the Infinium HumanMethylation450k BeadChip Array. We further linked these findings to primary tissue data available from TCGA and other public sources. Using biological and statistical frameworks, we selected CpGs that robustly differentiated cirrhosis from HCC in primary tissue and cfDNA followed by validation in an additional independent cohort. Results : We identified CpGs that segregate patients with cirrhosis, from patients with HCC within a cirrhotic liver background, through genome-wide analysis of cfDNA 5mC landscapes. Lasso regression analysis pinpointed a panel of probes in our discovery cohort that were validated in two independent datasets. A panel of five CpGs (cg04645914, cg06215569, cg23663760, cg13781744, and cg07610777) yielded area under the receiver operating characteristic (AUROC) curves of 0.9525, 0.9714, and 0.9528 in cfDNA discovery and tissue validation cohorts 1 and 2, respectively. Validation of a 5-marker panel created from combining hypermethylated and hypomethylated CpGs in an independent cfDNA set by bisulfite pyrosequencing yielded an AUROC of 0.956, compared to the discovery AUROC of 0.996. Conclusion : Our finding that 5mC markers derived from primary tissue did not perform well in cfDNA, compared to those identified directly from cfDNA, reveals potential advantages of starting with cfDNA to discover high performing markers for liquid biopsy development.
机译:肝细胞癌(HCC),最普遍的肝癌形式,在发病率的增长,但治疗方案仍然有限,特别是晚期疾病。随着肝硬化是HCC开发的主要风险状态,迫切需要在该患者人口中检测早期HCC的标记。表观遗传标记的扰动,例如DNA甲基化(5MC),是人类癌症的标志,包括HCC。因此,在从肝硬化到HCC的肝硬化进展期间,鉴定循环无细胞DNA(CFDNA)在循环无细胞DNA(CFDNA)中的鉴定可以用作发育早期HCC诊断和监测的微创屏幕的标志物。方法:鉴于肝硬化背景中发现HCC的DNA甲基化衍生的生物标志物,我们使用英式人甲基化450K珠芯片阵列在患者CFDNA中进行全基因组5MC景观。我们进一步将这些发现与来自TCGA和其他公共来源提供的主要组织数据相关联。使用生物和统计框架,我们选择了CPG,其在初级组织和CFDNA中从HCC中鲁棒地分化的肝硬化,然后在另外的独立队列中验证。结果:通过基因组分析CFDNA 5MC景观,我们识别出肝硬化患者的CPG,从肝硬化肝脏背景中患有HCC患者。套索回归分析在我们的发现队列中验证了一个在两个独立数据集中验证的探测器。五个CPG(CG04645914,CG06215569,CG23663760,CG13781744和CG0761744和CG07610777)分别在CFDNA发现和组织验证队列1和2中的接收器操作特性(AUROC)曲线下产生面积。验证由二硫酸氢钛矿焦磷酸吡咯段设定的独立CFDNA中组合的高甲基化和黄甲基化CpG的5标记面板产生0.956的Auroc,与0.996的发现Auroc相比。结论:我们发现,与直接来自CFDNA鉴定的那些,源自初级组织的5MC标记在CFDNA中没有表现良好,揭示了从CFDNA开始发现液体活检发育的高性能标志物的潜在优势。

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