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PPARα inhibition modulates multiple reprogrammed metabolic pathways in kidney cancer and attenuates tumor growth
Omran Abu Aboud1, Dallas Donohoe2, Scott Bultman3
1Graduate Group in Comparative Pathology, University of California, Davis, California; Division of Nephrology, Department of Internal Medicine, University of California, Davis, California;
Abstract:
Kidney cancer [renal cell carcinoma (RCC)] is the sixth-most-common cancer in the United States, and its incidence is increasing. The current progression-free survival for patients with advanced RCC rarely extends beyond 1-2 yr due to the development of therapeutic resistance. We previously identified peroxisome proliferator-activating receptor-α (PPARα) as a potential therapeutic target for this disease and showed that a specific PPARα antagonist, GW6471, induced apoptosis and cell cycle arrest at G0/G1 in RCC cell lines associated with attenuation of cell cycle regulatory proteins. We now extend that work and show that PPARα inhibition attenuates components of RCC metabolic reprogramming, capitalizing on the Warburg effect. The specific PPARα inhibitor GW6471, as well as a siRNA specific to PPARα, attenuates the enhanced fatty acid oxidation and oxidative phosphorylation associated with glycolysis inhibition, and PPARα antagonism also blocks the enhanced glycolysis that has been observed in RCC cells; this effect did not occur in normal human kidney epithelial cells. Such cell type-specific inhibition of glycolysis corresponds with changes in protein levels of the oncogene c-Myc and has promising clinical implications. Furthermore, we show that treatment with GW6471 results in RCC tumor growth attenuation in a xenograft mouse model, with minimal obvious toxicity, a finding associated with the expected on-target effects on c-Myc. These studies demonstrate that several pivotal cancer-relevant metabolic pathways are inhibited by PPARα antagonism. Our data support the concept that targeting PPARα, with or without concurrent inhibition of glycolysis, is a potential novel and effective therapeutic approach for RCC that targets metabolic reprogramming in this tumor.
Insights
Targeting peroxisome proliferator-activating receptor-alpha (PPARα) with antagonists like GW6471 shows promise for kidney cancer (RCC). PPARα inhibition disrupts cancer cell metabolism and reduces tumor growth, offering a potential new therapeutic strategy.
Area of Science:
- Oncology
- Molecular Biology
- Metabolic Research
Background:
- Kidney cancer (renal cell carcinoma, RCC) incidence is rising, with limited survival for advanced stages due to therapeutic resistance.
- Peroxisome proliferator-activating receptor-alpha (PPARα) was previously identified as a potential therapeutic target in RCC.
- Previous studies showed PPARα antagonism induces apoptosis and cell cycle arrest in RCC cell lines.
Purpose of the Study:
- To investigate the effect of PPARα inhibition on metabolic reprogramming in kidney cancer.
- To evaluate the therapeutic potential of PPARα antagonism in an RCC xenograft model.
Main Methods:
- Utilized a specific PPARα antagonist (GW6471) and siRNA targeting PPARα in RCC cell lines.
- Assessed changes in fatty acid oxidation, oxidative phosphorylation, and glycolysis.
- Analyzed protein levels of c-Myc and tumor growth in a xenograft mouse model.
Main Results:
- PPARα inhibition attenuated enhanced fatty acid oxidation and oxidative phosphorylation, and blocked increased glycolysis in RCC cells, but not normal kidney cells.
- PPARα antagonism led to cell type-specific inhibition of glycolysis, correlating with changes in c-Myc protein levels.
- Treatment with GW6471 significantly attenuated RCC tumor growth in a xenograft model with minimal toxicity.
Conclusions:
- PPARα antagonism effectively inhibits key metabolic pathways in kidney cancer, including glycolysis, fatty acid oxidation, and oxidative phosphorylation.
- Targeting PPARα disrupts cancer cell metabolism and reduces tumor growth, supporting its potential as a novel therapeutic strategy for RCC.
- PPARα inhibition, potentially combined with glycolysis inhibitors, offers a promising approach to target metabolic reprogramming in kidney cancer.
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