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Cell Programmed Nutrient Partitioning in the Tumor Microenvironment

Reinfeld, B. I.; Madden, M. Z.; Wolf, M. M.; Chytil, A.; Bader, J. E.; Patterson, A. R.; Cohen, A. S.; Ali, A.; Do, B. T.; Lewis, C. A.; Muir, A.; Hongo, R. A.; Young, K. L.; Brown, R. E.; Todd, V. M.; Huffstater, T.; Abraham, A.; O'Neil, R. T.; Wilson, M. T.; Xin, F.; Tantawy, M. N.; Merryman, W. D.; Johnson, R. W.; Williams, C. S.; Mason, E. F.; Mason, F. M.; Beckermann, K. E.; Vander Heiden, M. G.; Manning, H. C.; Rathmell, J. C.; Rathmell, W. K.

2020-08-10 cancer biology
10.1101/2020.08.10.238428 bioRxiv
Show abstract

The tumor microenvironment (TME) includes transformed cancer and infiltrating immune cells1,2. Cancer cells can consume large quantities of glucose through Warburg metabolism3,4 that can be visualized with positron emission tomography (PET). While infiltrating immune cells also rely on glucose, disruptions to metabolism can contribute to tumor immunological evasion5-9. How immune cell metabolism is programmed or restrained by competition with cancer cells for nutrients, remains uncertain. Here we used PET tracers to measure the accessibility of glucose and glutamine to cell subsets in the TME. Surprisingly, myeloid cells including macrophages were the greatest consumers of intra-tumoral glucose, followed by T cells and cancer cells. Cancer cells, in contrast, had the highest glutamine uptake. This distinct nutrient partitioning was programmed through selective mTORC1 signaling and glucose or glutamine-related gene expression. Inhibition of glutamine uptake enhanced glucose uptake across tumor resident cell types and shifted macrophage phenotype, demonstrating glucose is not limiting in the TME. Thus, cancer cells are not the only cells in tumors which exhibit high glucose uptake in vivo and instead preferentially utilize glutamine over other cell types. We observe that intrinsic cellular programs can play a major role in the use of some nutrients. Together, these data argue cell selective partitioning of glucose and glutamine can be exploited to develop therapies and imaging strategies to alter the metabolic programs of specific cell populations in the TME.

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