| Literature DB >> 30131656 |
Qi Zhang1, Yu Lou1, Xue-Li Bai1, Ting-Bo Liang1.
Abstract
The initiation and progression of liver cancer, including hepatocellular carcinoma and intrahepatic cholangiocarcinoma, are dependent on its tumor microenvironment. Immune cells are key players in the liver cancer microenvironment and show complicated crosstalk with cancer cells. Emerging evidence has shown that the functions of immune cells are closely related to cell metabolism. However, the effects of metabolic changes of immune cells on liver cancer progression are largely undefined. In this review, we summarize the recent findings of immunometabolism and relate these findings to liver cancer progression. We also explore the translation of the understanding of immunometabolism for clinical use.Entities:
Keywords: Cholangiocarcinoma; Hepatocellular carcinoma; Local immune status; Metabolite; Tumor microenvironment
Mesh:
Substances:
Year: 2018 PMID: 30131656 PMCID: PMC6102497 DOI: 10.3748/wjg.v24.i31.3500
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Figure 1The immune cells in the tumor microenvironment regulate liver cancer progression. Many types of immune cells in the TME show pro- or anti-tumoral effects on the liver cancer cells by cell-specific mechanisms. Complicated crosstalk between immune cells is also common. TME: Tumor microenvironment; ILC: Innate lymphoid cell; NKT: Natural killer T.
Figure 2Metabolites in the tumor microenvironment affect the anti-/pro-tumoral functions of immune cells. Energy resources including glucose, glutamine, free fatty acids, and other metabolites such as succinate largely alter the functions of macrophages, neutrophils, and T cells. These metabolically reprogrammed immune cells then have a differed influence on the liver cancer cells compared to the original immune cells. FAO: Fatty acid oxidation.
Immunometabolic therapies for cancers
| PKM2 | DASA, TEPP46 | Inhibition of HIF1α | Preclinical |
| HIF1α | PX-478, RO7070179, EZN-2968 | Inhibition of HIF1α | Phase 1 |
| PTEN | VO-Ohpic, SF1670 | Inhibition of PI3K | Preclinical |
| PDK | Dichloroacetate | Inhibition of glycolysis | Phase 2 |
| GLUT1 | Ritonavir | Inhibition of glycolysis | FDA-Approved |
| LDH | Gossypol (AT-101), FX11, Galloflavin | Inhibition of glycolysis | Phase 3 |
| CPT1A | Etomoxir | Inhibition of FAO | Preclinical |
| CTLA-4 | Ipilimumab | Checkpoint blockade; Inhibition of FAO | FDA-Approved |
| PD-1/PD-L1 | Nivolumab, Pembrolizumab, Atezolizumab | Checkpoint blockade; Inhibition of FAO | FDA-Approved |
| AMPK | Metformin | Increased FAO; Inhibition of Complex I; Decreased mitochondrial ROS | FDA-Approved |
| mTOR | Temsirolimus, Everolimus | Inhibition of HIF-1α translation | FDA-Approved |
| IDO | Epacadostat | Regulation of tryptophan metabolism; Inhibition of mTORC1 | FDA-Approved |
| IDH1/2 mutations | Ivosidenib (AG-120), IDH305, AG-881, DS-1001b | Inhibition of 2-HG production | Phase 3 |
| FGFR | Regorafenib, Sunitinib, TAS120 | Inhibition multi-targeted kinase | Phase 2 |
| iNOS | L-NMMA, 1400W | Inhibition of NO production | Phase 2 |
| FOXP3 | P60 | suppress NF-κB and NFAT | Preclinical |
PKM2: Pyruvate kinase M2; HIF: Hypoxia inducible factor; LDH: Lactate dehydrogenase; FAO: Fatty acid oxidation; CTLA-4: Cytotoxic T-lymphocyte-associated protein 4; mTOR: Mammalian target of rapamycin; FGFR: Fibroblast growth factor receptor; FoxP3: Forkhead box P3; ROS: Reactive oxygen species.