title: An overview of hepatocellular carcinoma study by omics-based methods.
abstract: Hepatocellular carcinoma (HCC) is one of the most deadly malignancies worldwide. Scientists have been studying the molecular mechanism of HCC for years, but the understanding of it remains incomplete and scattered across the literature at different molecular levels. Chromosomal aberrations, epigenetic abnormality and changes of gene expression have been reported in HCC. High-throughput omics technologies have been widely applied, aiming at the discovery of candidate biomarkers for cancer staging, prediction of recurrence and prognosis, and treatment selection. Large amounts of data on genetic and epigenetic abnormalities, gene expression profiles, microRNA expression profiles and proteomics have been accumulating, and bioinformatics is playing a more and more important role. In this paper, we review the current omics-based studies on HCC at the levels of genomics, transcriptomics and proteomics. Integrating observations from multiple aspects is an essential step toward the systematic understanding of the disease.
authors.affiliation: TNLIST/Department of Automation, Bioinformatics and Bioinformatics Division, MOE Key Laboratory, Tsinghua University, Beijing, China.
authors.forename: Yunfei
authors.initials: Y
authors.lastname: Pei
authors.forename: Ting
authors.initials: T
authors.lastname: Zhang
authors.forename: Victor
authors.initials: V
authors.lastname: Renault
authors.forename: Xuegong
authors.initials: X
authors.lastname: Zhang
mesh_terms: D014408:Biomarkers, Tumor; D006528:Carcinoma, Hepatocellular / Q000235:genetics / Q000378:metabolism*; D002869:Chromosome Aberrations; D020869:Gene Expression Profiling; D023281:Genomics; D006801:Humans; D008113:Liver Neoplasms / Q000235:genetics / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis; D040901:Proteomics; D012333:RNA, Messenger / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D012333:RNA, Messenger