Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship between tumor invasion and metastasis

Jingyue Zhang , Yawen Song , Qianqian Shi , Li Fu

Front. Med. ›› 2021, Vol. 15 ›› Issue (5) : 649 -656.

PDF (1821KB)
Front. Med. ›› 2021, Vol. 15 ›› Issue (5) : 649 -656. DOI: 10.1007/s11684-021-0830-0
REVIEW
REVIEW

Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship between tumor invasion and metastasis

Author information +
History +
PDF (1821KB)

Abstract

Tumorigenesis involves metabolic reprogramming and abnormal lipid metabolism, which is manifested by increased endogenous fat mobilization, hypertriglyceridemia, and increased fatty acid synthesis. Fatty acid synthase (FASN) is a key enzyme for the de novo synthesis of fatty acids, and monoacylglycerol esterase (MGLL) is an important metabolic enzyme that converts triglycerides into free fatty acids. Both enzymes play an important role in lipid metabolism and are associated with tumor-related signaling pathways, the most common of which is the PI3K–AKT signaling pathway. They can also regulate the immune microenvironment, participate in epithelial–mesenchymal transition, and then regulate tumor invasion and metastasis. Current literature have shown that these two genes are abnormally expressed in many types of tumors and are highly correlated with tumor migration and invasion. This article introduces the structures and functions of FASN and MGLL, their relationship with abnormal lipid metabolism, and the mechanism of the regulation of tumor invasion and metastasis and reviews the research progress of the relationship of FASN and MGLL with tumor invasion and metastasis.

Keywords

FASN / MGLL / lipid metabolism / tumor invasion / metastasis

Cite this article

Download citation ▾
Jingyue Zhang, Yawen Song, Qianqian Shi, Li Fu. Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship between tumor invasion and metastasis. Front. Med., 2021, 15(5): 649-656 DOI:10.1007/s11684-021-0830-0

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (1821KB)

5437

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/