Abstract
Liver hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. The heterogeneity of this malignancy is driven by a wide range of genetic alterations, leading to a lack of effective therapeutic options. In this study, we conducted a systematic multi-omics characterization of HCC to uncover its metabolic reprogramming signature. Through a comprehensive analysis incorporating transcriptomic, metabolomic, and lipidomic investigations, we identified significant changes in metabolic pathways related to glucose flux, lipid oxidation and degradation, and de novo lipogenesis in HCC. The lipidomic analysis revealed abnormal alterations in glycerol-lipids, phosphatidylcholine (PC), and sphingolipid (SL) derivatives. Machine-learning techniques identified a panel of genes associated with lipid metabolism as common biomarkers for HCC across different etiologies. Our findings suggest that targeting phosphatidylcholine with saturated fatty acids (SFA-PC) and long-chain sphingolipid biosynthesis pathways, particularly by inhibiting Lysophosphatidylcholine Acyltransferase 1 (LPCAT1) and Ceramide Synthase 5 (CERS5) as potential therapeutic strategies for HCC in vivo and in vitro. Notably, our data revealed an oncogenic role of CERS5 in promoting tumor progression through lipophagy. In conclusion, our study elucidates the metabolic reprogramming gnature of lipid metabolism in HCC, identifies prognostic markers, and therapeutic targets, and highlights potential metabolism-related targets for therapeutic intervention in HCC.
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