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Lactate Activates HIF-1 in Oxidative but Not in Warburg-Phenotype Human Tumor Cells

Overview of attention for article published in PLOS ONE, October 2012
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Title
Lactate Activates HIF-1 in Oxidative but Not in Warburg-Phenotype Human Tumor Cells
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046571
Pubmed ID
Authors

Christophe J. De Saedeleer, Tamara Copetti, Paolo E. Porporato, Julien Verrax, Olivier Feron, Pierre Sonveaux

Abstract

Cancer can be envisioned as a metabolic disease driven by pressure selection and intercellular cooperativeness. Together with anaerobic glycolysis, the Warburg effect, formally corresponding to uncoupling glycolysis from oxidative phosphorylation, directly participates in cancer aggressiveness, supporting both tumor progression and dissemination. The transcription factor hypoxia-inducible factor-1 (HIF-1) is a key contributor to glycolysis. It stimulates the expression of glycolytic transporters and enzymes supporting high rate of glycolysis. In this study, we addressed the reverse possibility of a metabolic control of HIF-1 in tumor cells. We report that lactate, the end-product of glycolysis, inhibits prolylhydroxylase 2 activity and activates HIF-1 in normoxic oxidative tumor cells but not in Warburg-phenotype tumor cells which also expressed lower basal levels of HIF-1α. These data were confirmed using genotypically matched oxidative and mitochondria-depleted glycolytic tumor cells as well as several different wild-type human tumor cell lines of either metabolic phenotype. Lactate activates HIF-1 and triggers tumor angiogenesis and tumor growth in vivo, an activity that we found to be under the specific upstream control of the lactate transporter monocarboxylate transporter 1 (MCT1) expressed in tumor cells. Because MCT1 also gates lactate-fueled tumor cell respiration and mediates pro-angiogenic lactate signaling in endothelial cells, MCT1 inhibition is confirmed as an attractive anticancer strategy in which a single drug may target multiple tumor-promoting pathways.

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Geographical breakdown

Country Count As %
United States 2 <1%
India 1 <1%
Germany 1 <1%
Slovakia 1 <1%
United Kingdom 1 <1%
Unknown 205 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 29%
Student > Master 30 14%
Researcher 26 12%
Student > Doctoral Student 18 9%
Student > Bachelor 14 7%
Other 26 12%
Unknown 36 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 29%
Biochemistry, Genetics and Molecular Biology 45 21%
Medicine and Dentistry 29 14%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Immunology and Microbiology 9 4%
Other 19 9%
Unknown 38 18%