A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product

Volume: 26, Issue: 4, Pages: 648 - 659.e8
Published: Oct 1, 2017
Abstract
Targeted cancer therapies that use genetics are successful, but principles for selectively targeting tumor metabolism that is also dependent on the environment remain unknown. We now show that differences in rate-controlling enzymes during the Warburg effect (WE), the most prominent hallmark of cancer cell metabolism, can be used to predict a response to targeting glucose metabolism. We establish a natural product, koningic acid (KA), to be a...
Paper Details
Title
A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product
Published Date
Oct 1, 2017
Volume
26
Issue
4
Pages
648 - 659.e8
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