biostudies-literatureUnknown14(9)Jin W<b>Rationale:</b> 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. <b>Methods:</b> 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. <b>Results:</b> MPS-identified MPTheranostics3439-3469https://www.ebi.ac.uk/biostudies/studies/S-EPMC11209723biostudies-literatureDeveloping targeted therapies for neuroblastoma by dissecting the effects of metabolic reprogramming on tumor microenvironments and progression.PMC11209723Jin WGao MZhang YZhao ZfalseDeveloping targeted therapies for neuroblastoma by dissecting the effects of metabolic reprogramming on tumor microenvironments and progression.<b>Rationale:</b> 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. <b>Methods:</b> 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. <b>Results:</b> MPS-identified MP2024-01-01T00:00:00Z20242026-03-13T10:33:14.06Z2025-08-12T03:04:54.478ZS-EPMC112097233894805310.7150/thno.93962