组学
肝细胞癌
蛋白质组学
表观遗传学
生物标志物
基因组学
计算生物学
基因组
医学
生物标志物发现
分子生物标志物
肿瘤科
诊断生物标志物
内科学
癌症
生物信息学
肝癌
接收机工作特性
代谢组学
生物
DNA甲基化
基因组
基因
遗传学
基因表达
作者
Xiaona Liu,Dan-Ni Cui,Yufang Li,Yunhe Liu,Gang Liu,Lei Liu
标识
DOI:10.3748/wjg.v25.i30.4199
摘要
The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it's sensitivity and specificity of is not optimal. The development and application of multiple biotechnologies, including next generation sequencing, multiple "omics" data, that include genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics has been used for HCC diagnostic biomarker screening. Effective biomarkers/panels/models have been identified and validated at different clinical levels. A large proportion of these have a good diagnostic performance for HCC, especially for early HCC. In this article, we reviewed the various HCC biomarkers derived from "omics" data and discussed the advantages and disadvantages for diagnosis HCC.
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