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Metabolic collaboration between cells in the tumor microenvironment has a negligible effect on tumor growth

Gustafsson, Johan, 1976 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Roshanzamir, Fariba, 1986 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Hagnestål, Anders (author)
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Patel, Sagar M. (author)
University of Nebraska - Lincoln
Daudu, Oseeyi I. (author)
University of Nebraska - Lincoln
Becker, Donald F. (author)
University of Nebraska - Lincoln
Robinson, Jonathan, 1986 (author)
BioInnovation Institute (BII),Chalmers tekniska högskola,Chalmers University of Technology
Nielsen, Jens B, 1962 (author)
Chalmers tekniska högskola,Chalmers University of Technology,BioInnovation Institute (BII)
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 (creator_code:org_t)
2024
2024
English.
In: Innovation. - 2666-6758. ; 5:2
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The tumor microenvironment is composed of a complex mixture of different cell types interacting under conditions of nutrient deprivation, but the metabolism therein is not fully understood due to difficulties in measuring metabolic fluxes and exchange of metabolites between different cell types in vivo. Genome-scale metabolic modeling enables estimation of such exchange fluxes as well as an opportunity to gain insight into the metabolic behavior of individual cell types. Here, we estimated the availability of nutrients and oxygen within the tumor microenvironment using concentration measurements from blood together with a metabolite diffusion model. In addition, we developed an approach to efficiently apply enzyme usage constraints in a comprehensive metabolic model of human cells. The combined modeling reproduced severe hypoxic conditions and the Warburg effect, and we found that limitations in enzymatic capacity contribute to cancer cells’ preferential use of glutamine as a substrate to the citric acid cycle. Furthermore, we investigated the common hypothesis that some stromal cells are exploited by cancer cells to produce metabolites useful for the cancer cells. We identified over 200 potential metabolites that could support collaboration between cancer cells and cancer-associated fibroblasts, but when limiting to metabolites previously identified to participate in such collaboration, no growth advantage was observed. Our work highlights the importance of enzymatic capacity limitations for cell behaviors and exemplifies the utility of enzyme-constrained models for accurate prediction of metabolism in cells and tumor microenvironments.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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