Cancer Cells’ Energy Source Blocked by Natural Compound
Lab experiments show promise for an anti-fungal compound found in nature.
The Warburg Effect describes a phenomenon in which cancer cells voraciously consume glucose for energy – something scientists have long known, yet have had little success exploiting as a way to stunt tumor growth.
Now researchers at Duke Cancer Institute have not only untangled an unusual wiring system that cancer cells use for carbohydrate metabolism, but also identified a natural compound that appears to selectively shut down this system in laboratory studies.
“The Warburg Effect has been known for decades, but the underlying mechanisms are not well understood,” said Jason Locasale, assistant professor in the Department of Pharmacology & Cancer Biology at Duke and senior author of a study published Sept. 14 in the journal Cell Metabolism. “We started with the idea that if you understand how it works, you should be better able to control it, and we think we might have some insight on that, as well.”
Locasale and colleagues, including lead author Maria Liberti, studied cancer cells to determine how their metabolism changes so dramatically from that of normal cells, which use oxygen to break down sugar. Cancer cells, instead, use fermentation, which is less efficient and therefore uses more sugar.
The researchers found particular points where carbohydrate metabolism is controlled differently in cancer cells undergoing the Warburg Effect, and they homed in on an enzyme, identified as GAPDH, that controls the rate at which glucose is processed in cancer cells.
And while the Warburg Effect is strong in many cancers, it’s absent or weaker in others. By measuring the GAPDH enzyme, the Duke team was able to develop a predictive model to measure how extensively cancer cells are under the influence of the Warburg Effect. Where the effect is strongest, the tumors could potentially be vulnerable to a therapy that targets the process.
“We’ve seen with genetics that cancers can be targeted based on whether certain mutations are present, and it could be that selectively targeting tumors based on their metabolism could have a similar impact,” Liberti said.
Armed with their findings, the researchers then scoured the literature to see if there were any known compounds that might block the GAPDH enzyme. One molecule called koningic acid, or KA, seemed to have potential. It was discovered 30 years as part of a search to find drugs that lower cholesterol. That quest led to statins, and KA was abandoned.
The molecule is produced by a sugar-eating fungus that colonizes sugar-rich environments such as sweet potatoes. The fungus generates KA to ward off bacteria that might try stealing its sugar source. Suspecting that KA might be a natural molecule that targets organisms or systems involved in accelerated glucose metabolism, the researchers tested the molecule in cancer cells and mouse models.
They found that KA does, indeed, selectively inhibit the GAPDH enzyme, curbing the ravenous glucose consumption in tumors undergoing the Warburg Effect and leaving normal cells alone.
Locasale said their findings warrant further study, notably to determine whether KA’s effects can be reproduced in additional animal and cell studies and whether other drug-like molecules might work along the same energy pathway.
“These findings not only show that KA’s efficacy is linked to the quantitative extent of the Warburg Effect, but that this also provides a therapeutic window,” Locasale said. “This could provide another way to attack cancer beyond the genetic makeup of the tumor. That’s encouraging.”
In addition to Locasale and Liberti, study authors include Ziwei Dai, Suzanne E. Wardell, Joshua A. Baccile, Xiaojing Liu, Xia Gao, Robert Baldi, Mahya Mehrmohamadi, Marc O. Johnson, Neel S. Madhukar, Alexander A. Shestov, Iok I. Christine Chio, Olivier Elemento, Jeffrey C. Rathmell, Frank C. Schroeder and Donald P. McDonnell.
This article has been republished from materials provided by Duke Cancer Institute. Note: material may have been edited for length and content. For further information, please contact the cited source.
Liberti, M. V., Dai, Z., Wardell, S. E., Baccile, J. A., Liu, X., Gao, X., . . . Locasale, J. W. (2017). A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product. Cell Metabolism. doi:10.1016/j.cmet.2017.08.017
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Synthetic DNA Shuffling Enzyme Outpaces Natural CounterpartNews
A new synthetic enzyme, crafted from DNA rather than protein, flips lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells. Researchers say their lipid-scrambling DNA enzyme is the first in its class to outperform naturally occurring enzymes – and does so by three orders of magnitudeREAD MORE
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.