Cancer Metabolism: Partners in the Warburg effect

  1. Joshua D Rabinowitz  Is a corresponding author
  2. Hilary A Coller
  1. Princeton University, United States
  2. University of California, Los Angeles, United States
  3. David Geffen School of Medicine, United States

In 1918 Albert Einstein convinced Otto Warburg to leave the German infantry and fulfill his patriotic requirements in the first World War by performing research instead (Koppenol et al., 2011). Back in the lab at the Kaiser Wilhelm Institute, Warburg discovered that thin slices of tumors produced lactate much more rapidly than normal tissue. This rapid fermentation of glucose by tumors, even in the presence of ample oxygen, was the first biochemical trait assigned to cancer and is known as the Warburg effect.

When oxygen is present, most human cells rely on a process called oxidative phosphorylation inside mitochondria to convert lactate into carbon dioxide and usable energy. Warburg proposed that the rapid glucose fermentation and associated lactate secretion by the cancer cells was due to mitochondrial dysfunction. However, subsequent studies have shown that most cancer cells do have working mitochondria and, moreover, depend heavily upon them to produce energy (Zu and Guppy, 2004Moreno-Sánchez et al., 2007). Instead of causing mitochondrial dysfunction, it was found that the mutations that cause cancer also promote the breakdown of glucose in a process called glycolysis. The most striking example involves the PI3K-Akt signaling pathway, which both transduces the signal from the hormone insulin to drive glucose uptake, and is one of the most frequently mutated pathways in cancer. One way this pathway can be activated is by the loss of a tumor suppressing enzyme called PTEN (Shaw and Cantley, 2006). The observation of oncogene-driven glucose uptake seemed to neatly explain the Warburg effect.

Over the past few decades, evidence has steadily accumulated that cancer cells also hijack surrounding cells (Cirri and Chiarugi, 2012). For example, cancer cells secrete growth factors to promote the formation of new blood vessels (Orimo et al., 2005), which are required to supply tumors with nutrients. Moreover, they co-opt surrounding connective tissue cells, including fibroblasts, which exchange signals with the cancer cells in a manner that ultimately drives tumor growth and likely helps to suppress immune responses to the tumor (Cirri and Chiarugi, 2012). However, both the mechanism of this exchange and its role in tumor growth remain poorly understood.

Fibroblasts may exchange both signaling molecules and metabolic fuels with the cancer cells, either by secreting individual molecules (e.g. lactate; Martinez-Outschoorn et al., 2014) or by releasing membrane-bound vesicles known as exosomes (Castellana et al., 2009). For example, recent work has shown that the spread of cancer in the brain is promoted by the exosomes that are released by a particular type of brain cell. These exosomes contain small RNA molecules known as microRNAs that can silence the gene that encodes the PTEN enzyme, whose loss drives an increase in glycolysis (Zhang et al., 2015).

Now, in eLife, Deepak Nagrath at Rice University and colleagues – including Hongyun Zhao as first author – show that cancer-associated fibroblasts release exosomes that both deliver nutrients to cancer cells and inhibit oxidative phosphorylation (Zhao et al., 2016; Figure 1). Zhao et al. use isotope-labelled carbon compounds to provide compelling evidence that exosomes from fibroblasts can supply an amino acid called glutamine and other nutrients to cancer cells. A shortage of glutamine can limit the growth of pancreatic and perhaps other cancers (Kamphorst et al., 2015). Importantly, although the exosomes contribute modest amounts of nutrients, they can protect cancer cells from starvation, hinting at one potential role for such metabolic exchange in tumors.

More striking and surprising is the role of the exosomes in causing the Warburg effect. Adding exosomes to prostate or pancreatic cancer cells both promotes glycolysis and blocks oxidative metabolism. It is likely that the increase in glycolysis is caused by the reduction in oxidative phosphorylation so, in this respect, the exosomes trigger glycolysis in the way initially envisioned by Warburg. These results call for a re-examination of the contributions of both processes to energy generation in cancer cells that are still associated with their neighbors.

Such re-examination is particularly important given that oxidative phosphorylation is reduced so dramatically in cancer cells, with oxygen consumption lowered by up to 80% within 24 hours of receiving exosomes from fibroblasts. Zhao et al. – who are based at Rice University, Baylor College of Medicine, the University of Texas MD Anderson Cancer Center and Stanford University – propose that the exosomes may deliver microRNAs that silence oxidative metabolism genes, but this is hard to reconcile with the timing. Since the proteins involved in oxidative phosphorylation are generally long-lived, even complete inhibition of their production seems unlikely to produce such drastic effects so quickly. Nor can the decreased oxidative phosphorylation be explained by the delivery of nutrients by exosomes, because increasing the access to such nutrients would be expected to promote, not inhibit, the use of oxygen. Thus, understanding how the exosomes inhibit oxidative phosphorylation is a key challenge going forward. Such work holds the potential to illuminate not only the Warburg effect, but also the regulation of oxidative phosphorylation in cells more generally.

Fibroblasts supply nutrients to cancer cells and inhibit oxidative phosphorylation in cancer cells.

Fibroblasts (pink cells) associate with epithelial cancer cells (blue cells) and release exosomes (circles) that transfer nutrients to epithelial cancer cells (orange lines). In addition, they inhibit mitochondrial oxidative phosphorylation in the cancer cells (black blunt arrows), perhaps via microRNAs that silence particular genes.

References

    1. Zu XL
    2. Guppy M
    (2004) Cancer metabolism: Facts, fantasy, and fiction
    Biochemical and Biophysical Research Communications 313:459–465.
    https://doi.org/10.1016/j.bbrc.2003.11.136

Article and author information

Author details

  1. Joshua D Rabinowitz

    Department of Chemistry and the Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, United States
    For correspondence
    joshr@princeton.edu
    Competing interests
    The authors declare that no competing interests exist.
  2. Hilary A Coller

    1. Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, United States
    2. Department of Biological Chemistry, David Geffen School of Medicine, Los Angeles, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0992-6494

Publication history

  1. Version of Record published:

Copyright

© 2016, Rabinowitz et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,596
    views
  • 818
    downloads
  • 10
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Joshua D Rabinowitz
  2. Hilary A Coller
(2016)
Cancer Metabolism: Partners in the Warburg effect
eLife 5:e15938.
https://doi.org/10.7554/eLife.15938

Further reading

    1. Cell Biology
    Eleanor Martin, Rossana Girardello ... Alexander Ludwig
    Research Article

    Caveolae are small membrane pits with fundamental roles in mechanotransduction. Several studies have shown that caveolae flatten out in response to an increase in membrane tension, thereby acting as a mechanosensitive membrane reservoir that buffers acute mechanical stress. The dynamic assembly and disassembly of caveolae has also been implicated in the control of RhoA/ROCK-mediated actomyosin contractility at the rear of migrating cells. However, how membrane tension controls the organisation of caveolae and caveolae-mediated mechanotransduction is poorly understood. To address this, we systematically quantified protein-protein interactions of caveolin-1 in migrating RPE1 cells at steady state and in response to an acute increase in membrane tension using biotin-based proximity labelling and quantitative mass spectrometry. Our data show that caveolae are highly enriched at the rear of migrating RPE1 cells and that membrane tension rapidly and reversibly disassembles the caveolar protein coat. Membrane tension also dislodges caveolin-1 from focal adhesion proteins and several mechanosensitive cortical actin regulators including filamins and cortactin. In addition, we present evidence that ROCK and the RhoGAP ARHGAP29 are associated with caveolin-1 in a membrane tension-dependent manner, and that ARHGAP29 regulates caveolin-1 Y14 phosphorylation, caveolae rear localisation, and RPE1 cell migration. Taken together, our work uncovers a membrane tension-sensitive coupling between caveolae and the rear-localised F-actin cytoskeleton. This provides a framework for dissecting the molecular mechanisms underlying caveolae-regulated mechanotransduction pathways.

    1. Cell Biology
    Parijat Biswas, Priyanka Roy ... Deepak Kumar Sinha
    Research Article

    The excessive cosolute densities in the intracellular fluid create a physicochemical condition called macromolecular crowding (MMC). Intracellular MMC entropically maintains the biochemical thermodynamic equilibria by favouring associative reactions while hindering transport processes. Rapid cell volume shrinkage during extracellular hypertonicity elevates the MMC and disrupts the equilibria, potentially ushering cell death. Consequently, cells actively counter the hypertonic stress through regulatory volume increase (RVI) and restore the MMC homeostasis. Here, we establish fluorescence anisotropy of EGFP as a reliable tool for studying cellular MMC and explore the spatiotemporal dynamics of MMC during cell volume instabilities under multiple conditions. Our studies reveal that the actin cytoskeleton enforces spatially varying MMC levels inside adhered cells. Within cell populations, MMC is uncorrelated with nuclear DNA content but anti-correlated with the cell spread area. Although different cell lines have statistically similar MMC distributions, their responses to extracellular hypertonicity vary. The intensity of the extracellular hypertonicity determines a cell's ability for RVI, which correlates with Nuclear Factor Kappa Beta (NFkB) activation. Pharmacological inhibition and knockdown experiments reveal that Tumour Necrosis Factor Receptor 1 (TNFR1) initiates the hypertonicity induced NFkB signalling and RVI. At severe hypertonicities, the elevated MMC amplifies cytoplasmic microviscosity and hinders Receptor Interacting Protein Kinase 1 (RIPK1) recruitment at the TNFR1 complex, incapacitating the TNFR1-NFkB signalling and consequently, RVI. Together, our studies unveil the involvement of TNFR1-NFkB signalling in modulating RVI and demonstrate the pivotal role of MMC in determining cellular osmoadaptability.