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mTORC1-Inhibition Potentiating Metabolic Block by Tyrosine Kinase Inhibitor Ponatinib in Multiple Myeloma
Uddin Md Nazim1, Kausik Bishayee1, Jieun Kang1
1Department of Pharmacology, College of Medicine and Institute of Natural Medicine, Hallym University, Chuncheon 24252, Korea.
Abstract:
Studies in targeting metabolism in cancer cells have shown the flexibility of cells in reprogramming their pathways away from a given metabolic block. Such behavior prompts a combination drug approach in targeting cancer metabolism, as a single compound may not address the tumor intractability. Overall, mammalian target of rapamycin complex 1 (mTORC1) signaling has been implicated as enabling metabolic escape in the case of a glycolysis block. From a library of compounds, the tyrosine kinase inhibitor ponatinib was screened to provide optimal reduction in metabolic activity in the production of adenosine triphosphate (ATP), pyruvate, and lactate for multiple myeloma cells; however, these cells displayed increasing levels of oxidative phosphorylation (OXPHOS), enabling them to continue generating ATP, although at a slower pace. The combination of ponatinib with the mTORC1 inhibitor, sirolimus, blocked OXPHOS; an effect also manifested in activity reductions for hexokinase 2 (HK2) and glucose-6-phosphate isomerase (GPI) glycolysis enzymes. There were also remarkably higher levels of reactive oxygen species (ROS) produced in mouse xenografts, on par with increased glycolytic block. The combination of ponatinib and sirolimus resulted in synergistic inhibition of tumor xenografts with no overt toxicity in treated mice for kidney and liver function or maintaining weight.
Insights
Combining ponatinib and sirolimus synergistically inhibits multiple myeloma tumor growth by blocking cancer cell metabolism and oxidative phosphorylation. This dual-drug approach effectively targets tumor cells without causing toxicity in mice.
Area of Science:
- Oncology
- Cancer Metabolism
- Drug Discovery
Background:
- Cancer cells exhibit metabolic flexibility, reprogramming pathways to evade single-agent drug treatments.
- Mammalian target of rapamycin complex 1 (mTORC1) signaling facilitates metabolic escape from glycolysis inhibition.
- Targeting cancer metabolism requires combination therapies to overcome tumor resistance.
Purpose of the Study:
- To investigate the efficacy of combining ponatinib, a tyrosine kinase inhibitor, with an mTORC1 inhibitor (sirolimus) against multiple myeloma.
- To evaluate the impact of this combination on cellular metabolism, including glycolysis and oxidative phosphorylation (OXPHOS).
- To assess the in vivo anti-tumor activity and toxicity of the drug combination in mouse xenograft models.
Main Methods:
- Screening of compounds to identify inhibitors of cancer cell metabolism.
- Treatment of multiple myeloma cells with ponatinib to assess metabolic activity.
- Combination treatment with ponatinib and sirolimus to evaluate effects on ATP, pyruvate, lactate, and OXPHOS.
- Assessment of hexokinase 2 (HK2) and glucose-6-phosphate isomerase (GPI) enzyme activity.
- In vivo studies using mouse xenografts to measure tumor growth inhibition, reactive oxygen species (ROS) levels, and toxicity.
Main Results:
- Ponatinib alone reduced metabolic activity (ATP, pyruvate, lactate) but increased OXPHOS in multiple myeloma cells.
- The combination of ponatinib and sirolimus effectively blocked OXPHOS and reduced glycolysis enzyme activity (HK2, GPI).
- Combination treatment led to increased ROS production in mouse xenografts, correlating with glycolytic blockade.
- Synergistic inhibition of tumor xenografts was observed with the ponatinib-sirolimus combination.
- No overt toxicity was observed in treated mice regarding kidney/liver function or body weight.
Conclusions:
- Combination therapy with ponatinib and sirolimus offers a synergistic approach to inhibit multiple myeloma tumor growth.
- This combination effectively targets key metabolic pathways (glycolysis and OXPHOS) in cancer cells.
- The dual-drug strategy demonstrates a favorable safety profile in preclinical models, warranting further investigation.
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