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Repurposing statins and phenothiazines to treat chemoresistant neuroblastoma
Katarzyna Radke1, Kristina Aaltonen1, Erick A Muciño-Olmos1
1Translational Cancer Research, Lund University, Lund, Sweden.
Abstract:
Relapse and treatment resistance are common in children with high-risk neuroblastoma, and novel therapies are needed. Conventional drug discovery is slow, expensive, often fails in practice, and consequently falls short in addressing pediatric and rare conditions. In such instances, drug repurposing is a promising strategy. Here, we used two independent in silico prediction tools including machine learning to identify approved drugs for repurposing against neuroblastoma. The combination of statins and phenothiazines showed strong synergistic effects in human neuroblastoma organoids, decreased tumor growth, and prolonged survival in MYCN-amplified neuroblastoma patient-derived xenografts. The drug combination altered cholesterol metabolism through two different mechanisms and induced a phenotypic change toward an adrenergic state in vitro, which was associated with enhanced chemosensitivity. Integration of the drug combination into standard-of-care chemotherapy regressed tumors and prolonged survival in chemoresistant patient-derived xenografts. Thus, a combination of safe and approved medications added to standard-of-care chemotherapy outperforms chemotherapy alone in chemoresistant neuroblastoma.
Insights
Repurposing statins and phenothiazines offers a novel therapy for high-risk neuroblastoma. This drug combination enhances chemotherapy effectiveness, improving survival in resistant neuroblastoma cases.
Area of Science:
- Oncology
- Pharmacology
- Computational Biology
Background:
- High-risk neuroblastoma in children frequently involves relapse and treatment resistance.
- Conventional drug discovery is inefficient for rare and pediatric conditions like neuroblastoma.
- Drug repurposing presents a viable strategy for identifying novel neuroblastoma therapies.
Purpose of the Study:
- To identify approved drugs for repurposing against neuroblastoma using in silico prediction tools.
- To evaluate the efficacy of identified drug combinations in preclinical neuroblastoma models.
- To investigate the mechanisms underlying the therapeutic effects of the drug combination.
Main Methods:
- Utilized two independent in silico prediction tools, including machine learning, for drug repurposing.
- Tested drug combinations in human neuroblastoma organoids and patient-derived xenografts (PDX).
- Assessed tumor growth, survival rates, cholesterol metabolism, and chemosensitivity in vitro and in vivo.
Main Results:
- A combination of statins and phenothiazines demonstrated strong synergistic effects in neuroblastoma models.
- The drug combination reduced tumor growth and prolonged survival in MYCN-amplified neuroblastoma PDX.
- Altered cholesterol metabolism and induced an adrenergic phenotype, enhancing chemosensitivity.
- Integration with standard chemotherapy regressed tumors and improved survival in chemoresistant PDX.
Conclusions:
- Drug repurposing of statins and phenothiazines is a promising strategy for high-risk neuroblastoma.
- The combination therapy shows significant efficacy, particularly in chemoresistant neuroblastoma.
- This approach offers a potentially safer and more efficient therapeutic option compared to conventional drug discovery.
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