Dataset Information

Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma.

ABSTRACT: The threat of Hepatocellular Carcinoma (HCC) is a growing problem, with incidence rates anticipated to near double over the next two decades. The increasing burden makes discovery of novel diagnostic, prognostic, and therapeutic biomarkers distinguishing HCC from underlying cirrhosis a significant focus. In this study, we analyzed tissue and serum samples from 40 HCC cases and 25 patients with liver cirrhosis (CIRR) to better understand the mechanistic differences between HCC and CIRR. Through pathway and network analysis, we are able to take a systems biology approach to conduct multi-omic analysis of transcriptomic, glycoproteomic, and metabolomic data acquired through various platforms. As a result, we are able to identify the FXR/RXR Activation pathway as being represented by molecules spanning multiple molecular compartments in these samples. Specifically, serum metabolites deoxycholate and chenodeoxycholic acid and serum glycoproteins C4A/C4B, KNG1, and HPX are biomarker candidates identified from this analysis that are of interest for future targeted studies. These results demonstrate the integrative power of multi-omic analysis to prioritize clinically and biologically relevant biomarker candidates that can increase understanding of molecular mechanisms driving HCC and make an impact in patient care.

SUBMITTER: Barefoot ME

PROVIDER: S-EPMC6986237 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma.

Barefoot Megan E ME Varghese Rency S RS Zhou Yuan Y Poto Cristina Di CD Ferrarini Alessia A Ressom Habtom W HW

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 20190701

The threat of Hepatocellular Carcinoma (HCC) is a growing problem, with incidence rates anticipated to near double over the next two decades. The increasing burden makes discovery of novel diagnostic, prognostic, and therapeutic biomarkers distinguishing HCC from underlying cirrhosis a significant focus. In this study, we analyzed tissue and serum samples from 40 HCC cases and 25 patients with liver cirrhosis (CIRR) to better understand the mechanistic differences between HCC and CIRR. Through p ...[more]

PMID: 31946143

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Dataset Information

Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma.

Publications

Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma.

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