OBJECTIVE

Dysregulated lipid metabolism has been reported in the progression of hepatocellular carcinoma (HCC). In the present study, we investigated the molecular characteristics of lipid-metabolism-related genes (IMRGs) as prognostic markers for HCC.

MATERIALS AND METHODS

Multi-dimensional bioinformatics analyses were performed to comprehensively analyze IMRGs, and to construct prognostic prediction signatures.

RESULTS

Data of 770 HCC patients and their corresponding 776 IMRGs were downloaded from three databases. Patients were classified into 2 molecular clusters that were associated with overall survival, clinical characteristics, and immune cells. The biological functions of the IMRGs differentially expressed between the 2 clusters were associated with tumor-related metabolic pathways. A 6 IMRG signature (6-IS), consisting of FMO3, SLC11A1, RNF10, KCNH2, ME1, and ZIC2, was established as an independent prognostic factor for HCC. The performance of the signature of 6-IS prognostic was verified in a validation set and compared to an external data set. It was revealed that the 6-IS could effectively predict the prognosis of patients with HCC.

CONCLUSIONS

This study provides new insights into the role of IMRGs in the pathogenesis of HCC, and presents a novel signature (6-IS) to predict the prognosis of HCC.