Identification and Characterization of Robust Hepatocellular Carcinoma Prognostic Subtypes Based on an Integrative Metabolite‐Protein Interaction Network

• DOI: 10.1002/advs.202100311
• Publication Date: 2021-07-11T13:31:54Z
• Authors: Di Chen; Yiran Zhang; Wen Wang; Huan Chen; Ting Ling; Renyu Yang; Yawei Wang; Chao Duan; Yu Liu; Xin Guo; Lei Fang; Wuguang Liu; Xiumei Liu; Jing Liu; Wuxiyar Otkur; Huan Qi; Xiaolong Liu; Tian Xia; Hong‐Xu Liu; Hai‐long Piao
• Keywords: Subtyping

Metabolite-protein interactions (MPIs) play key roles in cancer metabolism. However, our current knowledge about MPIs cancers remains limited due to the complexity of cells. Herein, authors construct an integrative MPI network and propose a based hepatocellular carcinoma (HCC) subtyping mechanism exploration workflow. Based on expressions hub proteins network, two prognosis-distinctive HCC subtypes are identified. Meanwhile, multiple interdependent features poor prognostic subtype observed, including hypoxia, DNA hypermethylation metabolic pathways, fatty acid accumulation, immune pathway up-regulation, exhausted T-cell infiltration. Notably, up-regulation is probably induced by accumulated unsaturated acids which predicted interact with regulators like SRC TGFB1. Moreover, tumor microenvironment compositions, further divided into sub-populations showing remarkable differences The shows strong consistency across cohorts early-stage HCC. Overall, redefine robust prognosis identify potential linking metabolism regulations, thus promoting understanding clinical applications heterogeneity.