Functional lipidomics: Palmitic acid impairs hepatocellular carcinoma development by modulating membrane fluidity and glucose metabolism

脂质代谢 脂类学 生物 二酰甘油激酶 磷酸胆碱 脂滴 脂肪酸 脂质体 生物化学 PI3K/AKT/mTOR通路 癌细胞 棕榈酸 鞘脂 细胞生物学 化学 磷脂 癌症 信号转导 磷脂酰胆碱 蛋白激酶C 遗传学
作者
Ling Lin,Ying Ding,Yi Wang,Zhenxin Wang,Xuefei Yin,Guoquan Yan,Lei Zhang,Pengyuan Yang,Huali Shen
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:66 (2): 432-448 被引量:167
标识
DOI:10.1002/hep.29033
摘要

Lipids are essential cellular components and energy sources of living organisms, and altered lipid composition is increasingly recognized as a signature of cancer. We performed lipidomic analysis in a series of hepatocellular carcinoma (HCC) cells and identified over 1,700 intact lipids originating from three major lipid categories. Comparative lipidomic screening revealed that 93 significantly changed lipids and decreased palmitic acyl (C16:0)–containing glycerophospholipids were positively associated with metastatic abilities of HCC cells. Furthermore, both in vitro and in vivo experiments demonstrated that C16:0 incubation specifically reduced malignant cell proliferation, impaired cell invasiveness, and suppressed tumor growth in mouse xenograft models. Biochemical experiments demonstrated that C16:0 treatment decreased cell membrane fluidity and limited glucose metabolism. A phosphoproteomics approach further revealed such C16:0 incubation attenuated phosphorylation levels of mammalian target of rapamycin (mTOR) and signal transducer and activator of transcription 3 (STAT3) pathway proteins. Multiple reaction monitoring analysis of 443 lipid molecules showed 8 reduced C16:0‐containing lipids out of total 10 altered lipids when cancer tissues were compared with adjacent nontumor tissues in a cohort of clinical HCC specimens ( P < 0.05). Conclusion : These data collectively demonstrate the biomedical potential of using altered lipid metabolism as a diagnostic marker for cancerous cells and open an opportunity for treating aggressive HCCs by targeting altered C16:0 metabolism. (H epatology 2017;66:432–448).
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