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Letter to the Editor

Complexity of metabolic cancer control

Can we exploit the superior metabolic position of glucose?

&
Page 585 | Received 19 Jan 2012, Accepted 20 Mar 2012, Published online: 01 Jun 2012

We respond to a paper by Ko and colleagues (“Glutamine fuels a vicious cycle of autophagy...”).Citation1 They hypothesize that tumor stroma are the central fuel generators for cancer growth, the so-called “reverse Warburg effect.”Citation1 Irrespective of whether this mechanism or the extensively quoted “Warburg effect”Citation2 accounts for energy production and biosynthesis, we propose (based on recent findings) that all cancer cell metabolites are either glucose-dependent or glucose-derived. We ask whether metabolic cancer control may be simpler than expected.

Ko and colleagues show that neighboring cancer-associated fibroblasts are stimulated to convert to glycolytic metabolism through cancer cell-initiated oxidative stress. The fibroblasts thus become glucose dependent.Citation1,Citation3,Citation4 This is the reason why the FDG-PET image of fibroblasts may be even larger than that of the primary tumors.Citation1

The fibroblasts become autophagic and consequently produce lactate as a glycolytic end product, which synergistically fuels cancer cell growth.Citation1,Citation3,Citation4 Apart from lactate, cancer-associated fibroblasts also produce ketone bodies and glutamine as end products, which are also used as cancer fuels.Citation1

Fortuitously, it has also recently been shown that glucose deprivation leads to a marked reduction in glutamine uptake.Citation5 Therefore, if cancer cells and fibroblasts can be deprived of glucose, the cancer cells will not only be less able to metabolize glutamine but will also be deprived of lactate (the main end product of aerobic glycolysis). Certain cancer cells may attempt to adopt fatty-acid and ketone body oxidation, but this is also a glucose-dependent process in cancer cells.Citation6 Glucose thus appears at the top of cancer cell (and fibroblast) metabolic hierarchy.

Therefore, if highly glycolytic cancer and metastatic cells (and associated fibroblasts) are deprived of glucose, all the cancer’s metabolic fuels will be downregulated, and glutamine will not be effectively metabolized. With this insight, metabolic control of highly glycolytic cancers and metastases (HGCM) could potentially be simplified to primarily targeting glucose.

We are further aided by the fact that increased glucose consumption in HGCM renders metabolically inflexible cancer cells more vulnerable to inhibition of glycolysis than normal cells.Citation7-Citation9 We could thus potentially exploit the superior metabolic position of glucose for HGCM control.Citation10

In summary, recent research shows that metabolic control of cancer might be less complex than expected and that the “reverse Warburg effect” may be partially addressed by exploiting the superior metabolic position of BG.

References

  • Ko Y-H, Lin Z, Flomenberg N, Pestell RG, Howell A, Sotgia F, et al. Glutamine fuels a vicious cycle of autophagy in the tumor stroma and oxidative mitochondrial metabolism in epithelial cancer cells: Implications for preventing chemotherapy resistance. Cancer Biol Ther 2011; 12:1085 - 97; http://dx.doi.org/10.4161/cbt.12.12.18671; PMID: 22236876
  • Vander Heiden MG. Targeting cancer metabolism: a therapeutic window opens. Nat Rev Drug Discov 2011; 10:671 - 84; http://dx.doi.org/10.1038/nrd3504; PMID: 21878982
  • Martinez-Outschoorn UE, Lin Z, Trimmer C, Flomenberg N, Wang C, Pavlides S, et al. Cancer cells metabolically “fertilize” the tumor microenvironment with hydrogen peroxide, driving the Warburg effect: implications for PET imaging of human tumors. Cell Cycle 2011; 10:2504 - 20; http://dx.doi.org/10.4161/cc.10.15.16585; PMID: 21778829
  • Pavlides S, Vera I, Gandara R, Sneddon S, Pestell RG, Mercier I, et al. Warburg meets autophagy: cancer associated fibroblasts accelerate tumor growth and metastasis via oxidative stress, mitophagy and aerobic glycolysis. Antioxid Redox Signal 2011; In press http://dx.doi.org/10.1089/ars.2011.4243; PMID: 21883043
  • Wellen KE, Lu C, Mancuso A, Lemons JMS, Ryczko M, Dennis JW, et al. The hexosamine biosynthetic pathway couples growth factor-induced glutamine uptake to glucose metabolism. Genes Dev 2010; 24:2784 - 99; http://dx.doi.org/10.1101/gad.1985910; PMID: 21106670
  • Tennant DA, Durán RV, Gottlieb E. Targeting metabolic transformation for cancer therapy. Nat Rev Cancer 2010; 10:267 - 77; http://dx.doi.org/10.1038/nrc2817; PMID: 20300106
  • Berardi MJ, Fantin VR. Survival of the fittest: metabolic adaptations in cancer. Curr Opin Genet Dev 2011; 21:59 - 66; http://dx.doi.org/10.1016/j.gde.2010.10.001; PMID: 21112206
  • El Mjiyad N, Caro-Maldonado A, Ramírez-Peinado S, Muñoz-Pinedo C. Sugar-free approaches to cancer cell killing. Oncogene 2011; 30:253 - 64; http://dx.doi.org/10.1038/onc.2010.466; PMID: 20972457
  • Huber HJ, Dussmann H, Kilbride SM, Rehm M, Prehn JHM. Glucose metabolism determines resistance of cancer cells to bioenergetic crisis after cytochrome-c release. Mol Syst Biol 2011; 7:470; http://dx.doi.org/10.1038/msb.2011.2; PMID: 21364572
  • Mathews EH, Liebenberg L, Pelzer R. High-glycolytic cancers and their interplay with the body’s glucose demand and supply cycle. Med Hypotheses 2011; 76:157 - 65; http://dx.doi.org/10.1016/j.mehy.2010.09.006; PMID: 20950942

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