School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, China.
Inner Mongolia Key Laboratory of Functional Genomics and Bioinformatics, Inner Mongolia University of Science and Technology, Baotou, China.
Sci Rep. 2023 Aug 23;13(1):13810. doi: 10.1038/s41598-023-41107-3.
Metabolic reprogramming is a hallmark of cancers, but pan-cancer level roles of lipid metabolism in cancer development are remains poorly understood. We investigated the possible roles of lipid metabolic genes (LMGs) in 14 cancer types. The results indicate that: (1) there is strong evidence for increased lipid metabolism in THCA and KICH. (2) Although the overall levels of lipid metabolic processes are down-regulated in some cancer types, fatty acid synthase activity and fatty acid elongation are moderately up-regulated in more than half of the cancer types. Cholesterol synthesis is up-regulated in five cancers including KICH, BLCA, COAD, BRCA, UCEC, and THCA. (3) The catabolism of cholesterols, triglycerides and fatty acids is repressed in most cancers, but a specific form of lipid degradation, lipophagy, is activated in THCA and KICH. (4) Lipid storage is enhanced in in kidney cancers and thyroid cancer. (5) Similarly to primary tumors, metastatic tumors tend to up-regulate biosynthetic processes of diverse lipids, but down-regulate lipid catabolic processes, except lipophagy. (6) The frequently mutated lipid metabolic genes are not key LMGs. (7) We established a LMG-based model for predicting cancer prognosis. Our results are helpful in expanding our understanding of the role of lipid metabolism in cancer.
代谢重编程是癌症的一个标志，但脂质代谢在癌症发生发展中的泛癌水平作用仍知之甚少。我们研究了脂质代谢基因（LMGs）在 14 种癌症类型中的可能作用。结果表明：（1）在 THCA 和 KICH 中，脂质代谢明显增强，有强有力的证据支持。（2）尽管某些癌症类型中脂质代谢过程的总体水平下调，但脂肪酸合成酶活性和脂肪酸延长在一半以上的癌症类型中中度上调。胆固醇合成在包括 KICH、BLCA、COAD、BRCA、UCEC 和 THCA 在内的五种癌症中上调。（3）在大多数癌症中，胆固醇、甘油三酯和脂肪酸的分解代谢受到抑制，但在 THCA 和 KICH 中，一种特定形式的脂质降解，即脂自噬被激活。（4）在肾癌和甲状腺癌中，脂质储存增强。（5）与原发性肿瘤相似，转移性肿瘤倾向于上调多种脂质的生物合成过程，但下调脂质分解代谢过程，脂自噬除外。（6）频繁突变的脂质代谢基因不是关键的 LMGs。（7）我们建立了一个基于 LMG 的模型来预测癌症预后。我们的结果有助于扩大对脂质代谢在癌症中的作用的理解。
