Background
Dysregulation of lipid metabolism has been implicated in the progression of hepatocellular carcinoma (HCC). We therefore investigated the molecular characteristics of lipid-metabolism-related genes for the prognostic prediction of HCC.
Methods
Multi-dimensional bioinformatics analysis was conducted to comprehensively analyzed the lipid metabolism-related genes (IMRG) and construct the prognostic prediction signature.
Results
A total of 770 HCC patients and their corresponding 776 IMRGs were downloaded from three databases. The HCC patients were classified into 2 molecular clusters, which were associated with overall survival, clinical characteristics, and immune cells. The biological function of the differentially expressed IMRGs in the 2 clusters showed that the genes were associated with tumor-related metabolism pathways. A 6 IMRGs signature (6-IS), including FMO3, SLC11A1, RNF10, KCNH2, ME1, and ZIC2 were established for HCC prognostic prediction, which was found to be an independent prognostic factor. Performance of the 6-IS prognostic signature was verified in a validation set and compared with an external data set. Results revealed that the 6-IS signature could effectively predict the prognosis of patients with HCC.
Conclusion
This study provides new insights into the role of IMRG in the pathogenesis of HCC and presents a novel signature 6-IS to predict the prognosis of HCC.