Metabolic network-based stratification of hepatocellular carcinoma reveals three distinct tumor subtypes.

ABSTRACT: Hepatocellular carcinoma (HCC) is one of the most frequent forms of liver cancer, and effective treatment methods are limited due to tumor heterogeneity. There is a great need for comprehensive approaches to stratify HCC patients, gain biological insights into subtypes, and ultimately identify effective therapeutic targets. We stratified HCC patients and characterized each subtype using transcriptomics data, genome-scale metabolic networks and network topology/controllability analysis. This comprehensive systems-level analysis identified three distinct subtypes with substantial differences in metabolic and signaling pathways reflecting at genomic, transcriptomic, and proteomic levels. These subtypes showed large differences in clinical survival associated with altered kynurenine metabolism

SUBMITTER: Bidkhori G 

PROVIDER: S-EPMC6294939 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature