Multi-scale computational study of the Warburg effect, reverse Warburg effect and glutamine addiction in solid tumors.

ABSTRACT: Cancer metabolism has received renewed interest as a potential target for cancer therapy. In this study, we use a multi-scale modeling approach to interrogate the implications of three metabolic scenarios of potential clinical relevance: the Warburg effect, the reverse Warburg effect and glutamine addiction. At the intracellular level, we construct a network of central metabolism and perform flux balance analysis (FBA) to estimate metabolic fluxes; at the cellular level, we exploit this metabolic network to calculate parameters for a coarse-grained description of cellular growth kinetics; and at the multicellular level, we incorporate these kinetic schemes into the cellular automata of an agent-based model (ABM), iDynoMiCS. This ABM evaluates the reaction-diffusion of the metabolites, cell

SUBMITTER: Shan M 

PROVIDER: S-EPMC6285468 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature