70 Years of DON and Beyond: Glutaminase Inhibition as a Synergistic Strategy in Cancer Combination Therapy
José A Campos-Sandoval1,2, Juan De Los Santos-Jiménez1,2,3,4,5, Javier Márquez1,2
1Canceromics Lab, Departamento de Biología Molecular y Bioquímica, Universidad de Málaga, 29071 Málaga, Spain.
Abstract:
Personalized oncology seeks to selectively block specific dysregulated pathways to arrest cancer development. Increased glutamine metabolism is a hallmark of cancer, and 6-diazo-5-oxo-L-norleucine (DON), a structural analog of L-glutamine, was the first compound used to target the exacerbated nitrogen metabolism observed in cancer cells. However, its clinical application was limited by unacceptable toxicity. With the same goal of blocking glutamine metabolism, several specific glutaminase inhibitors have been characterized in recent decades, showing promising antitumor activity. Nevertheless, this strategy frequently induces adaptive metabolic resistance that must be counteracted. In this context, glutaminase has become a key target in combination therapies for several tumor types aimed at restricting anabolic adaptation when single metabolic therapy fails, emerging as a possible synergistic therapeutic intervention. Consequently, combination therapies that include glutaminase inhibition alongside additional agents to counteract the metabolic plasticity of cancer have emerged as a promising approach in personalized antitumor pharmacology. This review provides a historical-to-translational overview of glutamine-targeted therapies, with particular emphasis on glutaminase inhibitors, including compound 968, BPTES, CB-839, and next-generation inhibitors, as well as DON-derived prodrugs. We discuss their mechanisms of action and their integration with chemotherapy, targeted therapies, radiotherapy, and immunotherapy, highlighting how glutamine metabolism targeting influences tumor metabolic adaptation, redox homeostasis, therapy resistance, and tumor-immune interactions. Finally, we examine current clinical developments, emerging therapeutic combinations, and the challenges that must be addressed for the incorporation of glutamine metabolism targeting into precision oncology.
Insights
Targeting cancer cell glutamine metabolism with inhibitors shows promise. Combination therapies including glutaminase inhibitors are emerging as a key strategy to overcome resistance and enhance personalized oncology treatments.
Area of Science:
- Oncology
- Metabolic pathways
- Cancer biology
Background:
- Increased glutamine metabolism is a hallmark of cancer.
- Early attempts to target glutamine metabolism with 6-diazo-5-oxo-L-norleucine (DON) were limited by toxicity.
- Specific glutaminase inhibitors have shown antitumor activity but can induce adaptive resistance.
Purpose of the Study:
- To provide a historical-to-translational overview of glutamine-targeted therapies in oncology.
- To emphasize the role of glutaminase inhibitors in combination therapies.
- To discuss the impact of glutamine metabolism targeting on tumor adaptation, resistance, and immune interactions.
Main Methods:
- Review of historical and current literature on glutamine metabolism inhibitors.
- Analysis of mechanisms of action for various glutaminase inhibitors (e.g., compound 968, BPTES, CB-839).
- Discussion of integration strategies with chemotherapy, targeted therapy, radiotherapy, and immunotherapy.
Main Results:
- Glutaminase inhibitors are key targets for combination therapies to restrict anabolic adaptation.
- Targeting glutamine metabolism influences tumor metabolic plasticity, redox balance, and therapy resistance.
- Combination therapies aim to counteract adaptive resistance and enhance synergistic therapeutic effects.
Conclusions:
- Combination therapies including glutaminase inhibition are a promising approach in personalized antitumor pharmacology.
- Further research is needed to address challenges for incorporating glutamine metabolism targeting into precision oncology.
- Understanding tumor metabolic adaptation is crucial for developing effective combination strategies.
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