Metabolic therapies inhibit tumor growth in vivo and in silico

Jorgelindo da Veiga Moreira1, Minoo Hamraz2, Mohammad Abolhassani3

  • 1Research Laboratory in Applied Metabolic Engineering, Department of Chemical Engineering, École Polytechnique de Montréal, P.O. Box 6079, Centre-ville Station, Montréal, Québec, Canada.

Scientific Reports
|March 1, 2019
PubMed

Insights

This study explores a novel metabolic therapy to reverse the Warburg effect in cancer cells. Combining METABLOC drugs with Metformin and Diclofenac, it shows promise in reprogramming tumor metabolism and reducing side effects.

Area of Science:

  • Oncology
  • Metabolic Engineering
  • Pharmacology

Background:

  • Cancer cells exhibit altered metabolism, notably the Warburg effect, relying on glucose fermentation.
  • Conventional antimitotic therapies cause significant side effects, driving interest in alternative treatments.
  • Metabolic therapies offer a promising avenue to target cancer cells with potentially fewer adverse effects.

Purpose of the Study:

  • To investigate a novel metabolic therapy for reprogramming cancer cell metabolism.
  • To evaluate the efficacy of a drug combination (METABLOC, Metformin, Diclofenac) in reversing the Warburg effect.
  • To model tumor progression and drug effects on cancer cell metabolism.

Main Methods:

  • Development and application of a dynamic metabolic model of central carbon metabolism.
  • In vivo testing of a combined therapeutic approach (METABLOC, Metformin, Diclofenac) in mice with implanted tumors.
  • Simulation of tumor progression in treated and non-treated subjects.

Main Results:

  • The study presents a novel metabolic therapy targeting key enzymes in central carbon metabolism.
  • Simulations predicted a reversed Warburg effect in tumor cells following metabolic therapy.
  • The drug combination demonstrated potential in reprogramming cancer cell metabolism.

Conclusions:

  • Metabolic reprogramming represents a viable strategy for cancer treatment.
  • The investigated drug combination shows potential for a reversed Warburg effect.
  • Dynamic metabolic modeling aids in understanding drug mechanisms and predicting therapeutic outcomes.

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