- Open Access
Altered metabolism in cancer
© Locasale and Cantley; licensee BioMed Central Ltd. 2010
Received: 28 May 2010
Accepted: 22 June 2010
Published: 25 June 2010
Cancer cells have different metabolic requirements from their normal counterparts. Understanding the consequences of this differential metabolism requires a detailed understanding of glucose metabolism and its relation to energy production in cancer cells. A recent study in BMC Systems Biology by Vasquez et al. developed a mathematical model to assess some features of this altered metabolism. Here, we take a broader look at the regulation of energy metabolism in cancer cells, considering their anabolic as well as catabolic needs.
See research article: http://0-www.biomedcentral.com.brum.beds.ac.uk/1752-0509/4/58/
In a majority of tumor types, an enhanced rate of glucose uptake is observed and serves as a reasonable starting point for understanding differential metabolism in tumors. Otto Warburg's initial observation that tumors often metabolize relatively large quantities of glucose predominantly through a fermentative-like metabolism, resulting in lactate production in aerobic conditions (termed aerobic glycolysis), provided the phenomenological foundation for studying altered metabolism in cancer . Rapid progress is being made towards a molecular understanding of why lactate production from glucose gives cancer cells a growth advantage. Paradoxically, cells that achieve high rates of aerobic glycolysis often show relatively small changes in the rate of oxygen consumption in response to changes in glucose uptake; that is, oxidative catabolic flux through the Krebs cycle leading to mitochondrial ATP generation is somewhat independent of glucose metabolism .
Alternative metabolic fluxes support the Krebs cycle and mitochondrial ATP production
Catabolic pathways involving the oxidation of material other than glucose in the Krebs cycle are also involved in cancer cell metabolism. For example, glutamine flux into the Krebs cycle has been directly observed in cancer cell lines and appears to be in part regulated by expression of MYC and TP53 (p53) - two of the most common cancer-associated genes [4–6]. Additional amino acids such as arginine and glycine, and metabolic intermediates such as fatty acids, can also be metabolized by mitochondrial pathways in certain contexts. These metabolites have transporters to deliver them into cells and are present in sufficiently high plasma concentrations to support their use in catabolic metabolism in mitochondria . In addition, many of the anabolic products that stem from intermediates in glycolysis can ultimately flow into the Krebs cycle, resulting in a bypass of the generation of pyruvate - the end product of glycolysis. This type of glucose metabolism avoids metabolic activity involving pyruvate kinase and pyruvate dehydrogenase, which are typically inhibited in cancer cells . These alternative pathways present many opportunities for additional stages of regulation in the decision to commit carbon flux to anabolic versus catabolic metabolism, and more research is required to understand the origins and tumor specificities of Krebs cycle flux.
ATP requirements in tumor cells
Aerobic glycolysis is considered a relatively inefficient way of producing ATP, as the alternative catabolic fate of glucose via oxidation in the Krebs cycle and donation of electrons into the electron-transport chain can generate 15 to 20 times as much ATP per unit of glucose. A recent study by Vazquez et al.  used a reduced flux-balance model to suggest that synthesizing ATP from glucose through aerobic glycolysis is the optimal ATP-generating strategy when a cell is limited by its capacity to maintain enough mitochondrial mass to support sufficient flux through the electron-transport chain. Whether fermentation is an optimal ATP-generating strategy is unclear; however, there are several lines of evidence that suggest that tumor cell proliferation is not limited by ATP availability.
Stoichiometric consequences of high rates of glycolysis
From the equation, it is clear that glycolysis is not possible without sufficient regeneration of ADP and NAD+. The reduction of pyruvate to lactate by lactate dehydrogenase is the most ubiquitous mechanism known for converting NADH back to NAD+, and this activity balances the very high rate of glycolysis observed in most cancer cells. Efraim Racker noted the problem of stoichiometric ADP availability and postulated that large fluxes through yet to be characterized ATP-coupled hydrolysis reactions were required to balance the cellular glucose uptake rates found in tumors. Futile cycles, more conveniently directly coupled to glycolysis, that hydrolyze ATP were believed to be required to balance high glycolytic flux . One now established example of a futile cycle in glycolysis involves a shunting step in which fructose 6-phosphate (F6P) is phosphorylated to form fructose 2,6-bisphosphate, which is then dephosphorylated back to F6P, resulting in net ATP hydrolysis. Attention has recently been paid to the cancer specificity of these reactions and some studies suggest that the enzyme activity responsible may be differentially regulated in some cancers . Other ATP-consuming futile cycles in central carbon metabolism may yet be discovered.
Growth advantages of aerobic glycolysis
Although aerobic glycolysis may, by virtue of stoichiometry, be necessary to support high rates of glycolysis, the advantages of this process for tumor cells are complicated to understand. Cell-autonomous effects of lactate secretion are likely to confer advantages on tumors. Lactate may enhance the invasiveness of tumor cells by disrupting normal tissue architecture as well as promoting an environment with reduced pH to evade tumor-attacking immune cells.
A complementary teleology suggests that maintaining high rates of glycolysis is required to reconfigure metabolic pathway fluxes to achieve more efficient anabolic metabolism and cell-autonomous growth. One speculation is that a movement of pathway fluxes towards anabolic metabolism can arise from the effects of differential ATP hydrolysis and redox balance that originate from the demands of the stoichiometry shown in the equation above. These differential pathway fluxes are likely to be dependent on tumor type since different oncogenes are used to regulate different anabolic fluxes.
Cancer cells are limited in their growth by the availability of carbon skeletons needed to produce new proteins, nucleotides and lipids . Furthermore, the reducing equivalents in the form of NADPH required for reductive biosynthesis derive from pathways that are orthogonal to ATP-generating pathways. Multiple solutions to the problem of obtaining sufficient carbon material and reducing equivalents are obtainable, and probably depend on the genetic context of the tumor and its microenvironment. A comprehensive understanding of how NADPH is generated and used in cells, and the predominant anabolic carbon fluxes stemming from glucose uptake, will help to parse the molecular consequences of aerobic glycolysis.
Because of the complexity of cancer metabolism, a better understanding will ultimately require the use of mathematical models. This improved understanding will then allow intervention in the metabolic pathways responsible for tumor cell metabolism. Exploiting these tumor-specific properties presents opportunities for therapeutic intervention in tumor development. The pharmacological targeting of enzymes that regulate this restructured metabolism has recently shown some promise in preclinical studies .
We would like to thank Cynthia Clower, Edouard Mullarky, Gina DeNicola, Matt Vander Heiden, Alex Grassian and Tamar Melman for helpful comments on the manuscript. JWL was supported by a fellowship from the American Cancer Society.
- Locasale JW, Cantley LC, Vander Heiden MG: Cancer's insatiable appetite. Nat Biotechnol. 2009, 27: 916-917. 10.1038/nbt1009-916.PubMed CentralView ArticlePubMedGoogle Scholar
- Warburg O, Posener K, Negelein E: Ueber den stoffwechsel der tumoren. Biochem Z. 1924, 152: 319-344.Google Scholar
- Deberardinis RJ, Lum JJ, Hatzivassiliou G, Thompson CB: The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metab. 2008, 7: 11-20. 10.1016/j.cmet.2007.10.002.View ArticlePubMedGoogle Scholar
- Wise DR, DeBerardinis RJ, Mancuso A, Sayed N, Zhang XY, Pfeiffer HK, Nissim I, Daikhin E, Yudkoff M, McMahon SB, Thompson CB: Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction. Proc Natl Acad Sci USA. 2008, 105: 18782-18787. 10.1073/pnas.0810199105.PubMed CentralView ArticlePubMedGoogle Scholar
- Hu W, Zhang C, Wu R, Sun Y, Levine A, Feng Z: Glutaminase 2, a novel p53 target gene regulating energy metabolism and antioxidant function. Proc Natl Acad Sci USA. 2010, 107: 7455-7460. 10.1073/pnas.1001006107.PubMed CentralView ArticlePubMedGoogle Scholar
- Suzuki S, Tanaka T, Poyurovsky MV, Nagano H, Mayama T, Ohkubo S, Lokshin M, Hosokawa H, Nakayama T, Suzuki Y, Sugano S, Sato E, Nagao T, Yokote K, Tatsuno I, Prives C: Phosphate-activated glutaminase (GLS2), a p53-inducible regulator of glutamine metabolism and reactive oxygen species. Proc Natl Acad Sci USA. 2010, 107: 7461-7466. 10.1073/pnas.1002459107.PubMed CentralView ArticlePubMedGoogle Scholar
- Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, Cheng D, Jewell K, Arndt D, Sawhney S, Fung C, Nikolai L, Lewis M, Coutouly MA, Forsythe I, Tang P, Shrivastava S, Jeroncic K, Stothard P, Amegbey G, Block D, Hau DD, Wagner J, Miniaci J, Clements M, Gebremedhin M, Guo N, Zhang Y, Duggan GE, Macinnis GD, et al: HMDB: the human metabolome database. Nucleic Acids Res. 2007, 35: D521-D526. 10.1093/nar/gkl923.PubMed CentralView ArticlePubMedGoogle Scholar
- Christofk HR, Vander Heiden MG, Wu N, Asara JM, Cantley LC: Pyruvate kinase M2 is a phosphotyrosine-binding protein. Nature. 2008, 452: 181-186. 10.1038/nature06667.View ArticlePubMedGoogle Scholar
- Vazquez A, Liu J, Zhou Y, Oltvai ZN: Catabolic efficiency of aerobic glycolysis: The Warburg effect revisited. BMC Syst Biol. 2010, 4: 58-10.1186/1752-0509-4-58.PubMed CentralView ArticlePubMedGoogle Scholar
- Kilburn DG, Lilly MD, Webb FC: The energetics of mammalian cell growth. J Cell Sci. 1969, 4: 645-654.PubMedGoogle Scholar
- Racker E: Why do tumor cells have a high aerobic glycolysis?. J Cell Physiol. 1976, 89: 697-700. 10.1002/jcp.1040890429.View ArticlePubMedGoogle Scholar
- Bensaad K, Tsuruta A, Selak MA, Vidal MN, Nakano K, Bartrons R, Gottlieb E, Vousden KH: TIGAR, a p53-inducible regulator of glycolysis and apoptosis. Cell. 2006, 126: 107-120. 10.1016/j.cell.2006.05.036.View ArticlePubMedGoogle Scholar
- Vander Heiden MG, Cantley LC, Thompson CB: Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009, 324: 1029-1033. 10.1126/science.1160809.PubMed CentralView ArticlePubMedGoogle Scholar
- Luo J, Solimini NL, Elledge SJ: Principles of cancer therapy: oncogene and non-oncogene addiction. Cell. 2009, 136: 823-837. 10.1016/j.cell.2009.02.024.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.