Genome-scale metabolic models are comprehensives but difficult to control and to analyze.
We manually reconstructed core models that zoom-in on cancer metabolic rewiring, focusing on most harmful neoplasias.
We estimated the optimal flux distribution for each of the core metabolic models with FBA.
We observed heterogeneity in flux values between reference and cancer conditions, but also among the different cancers.
We identified a set of reactions that is responsible for the reversion of cancer phenotype.