title: Multi-omic approaches for characterization of hepatocellular carcinoma.
abstract: Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated changes in the levels of transcripts, proteins, glycans, and metabolites between tumor and cirrhotic tissues by statistical methods. We demonstrated the potential of multi-omic approaches and network analysis to investigate the interactions among these biomolecules in the progression of liver cirrhosis to HCC. Also, we showed the significance of multi-omic approaches to identify pathways altered in HCC.
authors.forename: Habtom W
authors.initials: HW
authors.lastname: Ressom
authors.forename: Cristina
authors.initials: C
authors.lastname: Di Poto
authors.forename: Alessia
authors.initials: A
authors.lastname: Ferrarini
authors.lastname: Yunli Hu
authors.forename: Mohammad R
authors.initials: MR
authors.lastname: Nezami Ranjbar
authors.lastname: Ehwang Song
authors.forename: Rency S
authors.initials: RS
authors.lastname: Varghese
authors.lastname: Minkun Wang
authors.lastname: Shiyue Zhou
authors.lastname: Rui Zhu
authors.lastname: Yiming Zuo
authors.forename: Mahlet G
authors.initials: MG
authors.lastname: Tadesse
authors.forename: Yehia
authors.initials: Y
authors.lastname: Mechref
mesh_terms: D000368:Aged; D006528:Carcinoma, Hepatocellular / Q000235:genetics / Q000378:metabolism*; D016022:Case-Control Studies; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008103:Liver Cirrhosis / Q000235:genetics / Q000378:metabolism*; D008113:Liver Neoplasms / Q000235:genetics / Q000378:metabolism*; D008297:Male; D055432:Metabolomics / Q000379:methods; D008875:Middle Aged; D040901:Proteomics / Q000379:methods