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Developing targeted therapies for neuroblastoma by dissecting the effects of metabolic reprogramming on tumor
Wenyi Jin1,2,3, Yubiao Zhang2, Zhijie Zhao4
1Department of Orthopedics, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China, 325041.
Abstract:
Rationale: Synergic reprogramming of metabolic dominates neuroblastoma (NB) progression. It is of great clinical implications to develop an individualized risk prognostication approach with stratification-guided therapeutic options for NB based on elucidating molecular mechanisms of metabolic reprogramming. Methods: With a machine learning-based multi-step program, the synergic mechanisms of metabolic reprogramming-driven malignant progression of NB were elucidated at single-cell and metabolite flux dimensions. Subsequently, a promising metabolic reprogramming-associated prognostic signature (MPS) and individualized therapeutic approaches based on MPS-stratification were developed and further validated independently using pre-clinical models. Results: MPS-identified MPS-I NB showed significantly higher activity of metabolic reprogramming than MPS-II counterparts. MPS demonstrated improved accuracy compared to current clinical characteristics [AUC: 0.915 vs. 0.657 (MYCN), 0.713 (INSS-stage), and 0.808 (INRG-stratification)] in predicting prognosis. AZD7762 and etoposide were identified as potent therapeutics against MPS-I and II NB, respectively. Subsequent biological tests revealed AZD7762 substantially inhibited growth, migration, and invasion of MPS-I NB cells, more effectively than that of MPS-II cells. Conversely, etoposide had better therapeutic effects on MPS-II NB cells. More encouragingly, AZD7762 and etoposide significantly inhibited in-vivo subcutaneous tumorigenesis, proliferation, and pulmonary metastasis in MPS-I and MPS-II samples, respectively; thereby prolonging survival of tumor-bearing mice. Mechanistically, AZD7762 and etoposide-induced apoptosis of the MPS-I and MPS-II cells, respectively, through mitochondria-dependent pathways; and MPS-I NB resisted etoposide-induced apoptosis by addiction of glutamate metabolism and acetyl coenzyme A. MPS-I NB progression was fueled by multiple metabolic reprogramming-driven factors including multidrug resistance, immunosuppressive and tumor-promoting inflammatory microenvironments. Immunologically, MPS-I NB suppressed immune cells via MIF and THBS signaling pathways. Metabolically, the malignant proliferation of MPS-I NB cells was remarkably supported by reprogrammed glutamate metabolism, tricarboxylic acid cycle, urea cycle, etc. Furthermore, MPS-I NB cells manifested a distinct tumor-promoting developmental lineage and self-communication patterns, as evidenced by enhanced oncogenic signaling pathways activated with development and self-communications. Conclusions: This study provides deep insights into the molecular mechanisms underlying metabolic reprogramming-mediated malignant progression of NB. It also sheds light on developing targeted medications guided by the novel precise risk prognostication approaches, which could contribute to a significantly improved therapeutic strategy for NB.
Insights
This study reveals how metabolic reprogramming drives neuroblastoma (NB) progression. A new prognostic signature (MPS) predicts NB risk and guides targeted therapies like AZD7762 and etoposide for better patient outcomes.
Area of Science:
- Oncology
- Metabolic Reprogramming
- Machine Learning in Medicine
Background:
- Metabolic reprogramming is central to neuroblastoma (NB) progression.
- Individualized risk prognostication and targeted therapies are crucial for NB management.
Purpose of the Study:
- To elucidate the molecular mechanisms of metabolic reprogramming in NB.
- To develop a metabolic reprogramming-associated prognostic signature (MPS) for risk stratification.
- To identify and validate individualized therapeutic strategies based on MPS.
Main Methods:
- Utilized a machine learning approach to analyze single-cell and metabolite flux data.
- Developed and validated a metabolic reprogramming-associated prognostic signature (MPS).
- Tested targeted therapies (AZD7762, etoposide) in pre-clinical models.
Main Results:
- MPS accurately predicted NB prognosis (AUC: 0.915), outperforming current methods.
- AZD7762 and etoposide showed differential efficacy against MPS-I and MPS-II NB, respectively.
- Identified key metabolic pathways (glutamate, TCA cycle) and immune signaling (MIF, THBS) driving NB progression.
Conclusions:
- Metabolic reprogramming significantly influences NB malignant progression.
- The MPS provides a precise tool for NB risk stratification and personalized therapy.
- Targeted therapies guided by MPS hold promise for improved NB treatment strategies.
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