Related Experiment Video
Updated: Jul 1, 2026

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
Published on: July 21, 2018
GLP-1 receptor agonist targets an AMPKα1-HIF1α-PFKFB3 metabolic vulnerability and enhances Lenvatinib response in
Takayuki Noma1,2, Yuan Li1,3, Yuma Wada2
1Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, California, USA.
Abstract:
Glucagon-like peptide-1 receptor agonists (GLP-1RAs), widely used for diabetes and obesity, have recently attracted attention for potential anti-tumor effects, although their mechanisms remain unclear. Given their role in metabolic regulation, we hypothesized that GLP-1RAs may target cancer-specific metabolic vulnerabilities. Hepatocellular carcinoma (HCC) is characterized by metabolic reprogramming and enhanced glycolysis, which contribute to therapeutic resistance. Here, we investigated the anti-tumor effects of a GLP-1RA in HCC, focusing on its ability to modulate glycolytic pathways and enhance sensitivity to Lenvatinib. Lenvatinib-resistant HCC cells exhibited suppressed AMPKα1 and increased HIF-1α and PFKFB3 expression, promoting glycolytic adaptation. GLP-1RA treatment restored AMPKα1 activity while suppressing HIF-1α/PFKFB3 signaling, thereby reducing glycolytic activity and enhancing apoptosis. Combination treatment with GLP-1RA and Lenvatinib significantly inhibited tumor cell growth in resistant models. These findings suggest that the AMPKα1/HIF-1α/PFKFB3 axis represents a metabolic vulnerability in Lenvatinib-resistant HCC and support GLP-1RA-based combination strategies.
Insights
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) show anti-tumor effects in liver cancer by targeting metabolic vulnerabilities. Combining GLP-1RAs with Lenvatinib overcomes resistance and inhibits tumor growth.
Area of Science:
- Oncology
- Metabolic Regulation
- Pharmacology
Background:
- Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are used for diabetes and obesity, with emerging evidence for anti-tumor properties.
- Hepatocellular carcinoma (HCC) exhibits metabolic reprogramming and enhanced glycolysis, contributing to resistance against therapies like Lenvatinib.
Purpose of the Study:
- To investigate the anti-tumor effects of GLP-1RAs in HCC.
- To determine if GLP-1RAs can modulate cancer-specific metabolic vulnerabilities and enhance sensitivity to Lenvatinib.
Main Methods:
- Analysis of Lenvatinib-resistant HCC cells to identify molecular changes in metabolic pathways.
- Treatment of resistant HCC models with a GLP-1RA, alone and in combination with Lenvatinib.
- Assessment of key signaling pathways including AMPKα1, HIF-1α, and PFKFB3, and evaluation of glycolytic activity and apoptosis.
Main Results:
- Lenvatinib-resistant HCC cells showed suppressed AMPKα1 and increased HIF-1α and PFKFB3, indicating enhanced glycolysis.
- GLP-1RA treatment normalized AMPKα1 activity and suppressed the HIF-1α/PFKFB3 axis, reducing glycolysis and increasing apoptosis.
- Combination therapy with GLP-1RA and Lenvatinib significantly inhibited tumor growth in resistant HCC models.
Conclusions:
- The AMPKα1/HIF-1α/PFKFB3 axis is a metabolic vulnerability in Lenvatinib-resistant HCC.
- GLP-1RAs can overcome Lenvatinib resistance by targeting this metabolic pathway.
- GLP-1RA-based combination therapies represent a promising strategy for treating resistant HCC.
Related Concept Videos
PI3K/mTOR/AKT Signaling Pathway
Glucagon-like Receptor Agonists
GLP-1, when administered in high doses intravenously, triggers insulin secretion, inhibits glucagon release, slows gastric emptying, reduces food intake, and restores normal insulin secretion. However, its rapid inactivation by the...
cAMP-dependent Protein Kinase Pathways
Transducer Mechanism: Enzyme-Linked Receptors
Major types that are helpful drug targets include:
GPCRs Regulate Adenylyl Cylase Activity
Two...
Pharmacogenomics: Identification of New Drug Targets
