Comprehensive profiling of lipid metabolic reprogramming expands precision medicine for HCC.

IF 12.9 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Hepatology Pub Date : 2025-04-01 Epub Date: 2024-06-19 DOI:10.1097/HEP.0000000000000962
Qingbin Liu, Xiangyu Zhang, Jingjing Qi, Xinchen Tian, Eva Dovjak, Jiaqi Zhang, Honghuan Du, Ni Zhang, Jing Zhao, Yiming Zhang, Lijuan Wang, Yangang Wei, Chenqiao Liu, Ruikun Qian, Longquan Xiang, Weiyang Li, Peng Xiu, Changlin Ma, Yong Yu, Shulong Jiang
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Abstract

Background and aims: Liver 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.

Approach and results: 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, and sphingolipid 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 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.

Conclusions: In conclusion, our study elucidates the metabolic reprogramming nature 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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脂质代谢重编程的全面剖析拓展了肝细胞癌的精准医疗。
背景和目的:肝肝细胞癌(HCC)是全球癌症相关死亡的第二大原因。这种恶性肿瘤的异质性是由广泛的基因改变驱动的,导致缺乏有效的治疗方案。在这项研究中,我们对 HCC 进行了系统的多组学表征,以揭示其代谢重编程特征:通过结合转录组学、代谢组学和脂质组学研究的综合分析,我们确定了 HCC 中与葡萄糖通量、脂质氧化和降解以及新脂肪生成相关的代谢通路的显著变化。脂质体分析显示甘油脂质、磷脂酰胆碱(PC)和鞘脂(SL)衍生物发生了异常改变。机器学习技术发现了一组与脂质代谢相关的基因,它们是不同病因导致的 HCC 的常见生物标志物。我们的研究结果表明,以磷脂酰胆碱与饱和脂肪酸(SFA-PC)和长链鞘脂生物合成途径为靶点,特别是通过抑制溶血磷脂酰胆碱酰基转移酶1(LPCAT1)和神经酰胺合成酶5(CERS5),是治疗体内和体外HCC的潜在策略。值得注意的是,我们的数据揭示了 CERS5 在通过噬脂促进肿瘤进展方面的致癌作用:总之,我们的研究阐明了 HCC 中脂质代谢的重编程特征,确定了预后标志物和治疗靶点,并强调了潜在的代谢相关靶点对 HCC 的治疗干预。
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来源期刊
Hepatology
Hepatology 医学-胃肠肝病学
CiteScore
27.50
自引率
3.70%
发文量
609
审稿时长
1 months
期刊介绍: HEPATOLOGY is recognized as the leading publication in the field of liver disease. It features original, peer-reviewed articles covering various aspects of liver structure, function, and disease. The journal's distinguished Editorial Board carefully selects the best articles each month, focusing on topics including immunology, chronic hepatitis, viral hepatitis, cirrhosis, genetic and metabolic liver diseases, liver cancer, and drug metabolism.
期刊最新文献
Clinical decision support and electronic interventions to improve care quality in chronic liver diseases and cirrhosis. The rapidly evolving landscape of HCC: Selecting the optimal systemic therapy. Mesenchymal stem cells alleviate mouse liver fibrosis by inhibiting pathogenic function of intrahepatic B cells. Comprehensive profiling of lipid metabolic reprogramming expands precision medicine for HCC. A novel phosphodiesterase inhibitor for the treatment of chronic liver injury and metabolic diseases.
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