IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v593y2021i7858d10.1038_s41586-021-03442-1.html
   My bibliography  Save this article

Cell-programmed nutrient partitioning in the tumour microenvironment

Author

Listed:
  • Bradley I. Reinfeld

    (Vanderbilt University
    Vanderbilt University Medical Center (VUMC)
    Vanderbilt University)

  • Matthew Z. Madden

    (Vanderbilt University
    Microbiology and Immunology, VUMC)

  • Melissa M. Wolf

    (Vanderbilt University Medical Center (VUMC)
    Vanderbilt University)

  • Anna Chytil

    (Vanderbilt University Medical Center (VUMC))

  • Jackie E. Bader

    (Microbiology and Immunology, VUMC)

  • Andrew R. Patterson

    (Microbiology and Immunology, VUMC)

  • Ayaka Sugiura

    (Vanderbilt University
    Microbiology and Immunology, VUMC)

  • Allison S. Cohen

    (VUMC
    Vanderbilt University Institute of Imaging Science, VUMC)

  • Ahmed Ali

    (Massachusetts Institute of Technology (MIT)
    Broad Institute of MIT and Harvard University)

  • Brian T. Do

    (Massachusetts Institute of Technology (MIT)
    Broad Institute of MIT and Harvard University)

  • Alexander Muir

    (University of Chicago)

  • Caroline A. Lewis

    (Whitehead Institute for Biomedical Research, MIT)

  • Rachel A. Hongo

    (Vanderbilt University Medical Center (VUMC)
    Microbiology and Immunology, VUMC)

  • Kirsten L. Young

    (Vanderbilt University Medical Center (VUMC)
    Microbiology and Immunology, VUMC)

  • Rachel E. Brown

    (Vanderbilt University
    Vanderbilt University Medical Center (VUMC)
    Vanderbilt University)

  • Vera M. Todd

    (Vanderbilt University Medical Center (VUMC)
    Vanderbilt University)

  • Tessa Huffstater

    (Vanderbilt University)

  • Abin Abraham

    (Vanderbilt University
    Vanderbilt Genetics Institute, VUMC)

  • Richard T. O’Neil

    (Vanderbilt University Medical Center (VUMC)
    Tennessee Valley Health System)

  • Matthew H. Wilson

    (Vanderbilt University Medical Center (VUMC)
    Tennessee Valley Health System)

  • Fuxue Xin

    (VUMC
    Vanderbilt University Institute of Imaging Science, VUMC)

  • M. Noor Tantawy

    (VUMC
    Vanderbilt University Institute of Imaging Science, VUMC)

  • W. David Merryman

    (Vanderbilt University)

  • Rachelle W. Johnson

    (Vanderbilt University Medical Center (VUMC))

  • Christopher S. Williams

    (Vanderbilt University Medical Center (VUMC)
    Tennessee Valley Health System)

  • Emily F. Mason

    (Microbiology and Immunology, VUMC)

  • Frank M. Mason

    (Vanderbilt University Medical Center (VUMC))

  • Katherine E. Beckermann

    (Vanderbilt University Medical Center (VUMC))

  • Matthew G. Heiden

    (Massachusetts Institute of Technology (MIT)
    Broad Institute of MIT and Harvard University
    Dana-Farber Cancer Institute)

  • H. Charles Manning

    (VUMC
    Vanderbilt University Institute of Imaging Science, VUMC)

  • Jeffrey C. Rathmell

    (Microbiology and Immunology, VUMC
    VUMC)

  • W. Kimryn Rathmell

    (Vanderbilt University Medical Center (VUMC)
    VUMC)

Abstract

Cancer cells characteristically consume glucose through Warburg metabolism1, a process that forms the basis of tumour imaging by positron emission tomography (PET). Tumour-infiltrating immune cells also rely on glucose, and impaired immune cell metabolism in the tumour microenvironment (TME) contributes to immune evasion by tumour cells2–4. However, whether the metabolism of immune cells is dysregulated in the TME by cell-intrinsic programs or by competition with cancer cells for limited nutrients remains unclear. Here we used PET tracers to measure the access to and uptake of glucose and glutamine by specific cell subsets in the TME. Notably, myeloid cells had the greatest capacity to take up intratumoral glucose, followed by T cells and cancer cells, across a range of cancer models. By contrast, cancer cells showed the highest uptake of glutamine. This distinct nutrient partitioning was programmed in a cell-intrinsic manner through mTORC1 signalling and the expression of genes related to the metabolism of glucose and glutamine. Inhibiting glutamine uptake enhanced glucose uptake across tumour-resident cell types, showing that glutamine metabolism suppresses glucose uptake without glucose being a limiting factor in the TME. Thus, cell-intrinsic programs drive the preferential acquisition of glucose and glutamine by immune and cancer cells, respectively. Cell-selective partitioning of these nutrients could be exploited to develop therapies and imaging strategies to enhance or monitor the metabolic programs and activities of specific cell populations in the TME.

Suggested Citation

  • Bradley I. Reinfeld & Matthew Z. Madden & Melissa M. Wolf & Anna Chytil & Jackie E. Bader & Andrew R. Patterson & Ayaka Sugiura & Allison S. Cohen & Ahmed Ali & Brian T. Do & Alexander Muir & Caroline, 2021. "Cell-programmed nutrient partitioning in the tumour microenvironment," Nature, Nature, vol. 593(7858), pages 282-288, May.
  • Handle: RePEc:nat:nature:v:593:y:2021:i:7858:d:10.1038_s41586-021-03442-1
    DOI: 10.1038/s41586-021-03442-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-021-03442-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-021-03442-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Syamantak Khan & June Ho Shin & Valentina Ferri & Ning Cheng & Julia E. Noel & Calvin Kuo & John B. Sunwoo & Guillem Pratx, 2021. "High-resolution positron emission microscopy of patient-derived tumor organoids," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Yuefan Huang & Vakul Mohanty & Merve Dede & Kyle Tsai & May Daher & Li Li & Katayoun Rezvani & Ken Chen, 2023. "Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Chenglong Sun & Anqiang Wang & Yanhe Zhou & Panpan Chen & Xiangyi Wang & Jianpeng Huang & Jiamin Gao & Xiao Wang & Liebo Shu & Jiawei Lu & Wentao Dai & Zhaode Bu & Jiafu Ji & Jiuming He, 2023. "Spatially resolved multi-omics highlights cell-specific metabolic remodeling and interactions in gastric cancer," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Qiang Feng & Zhida Liu & Xuexin Yu & Tongyi Huang & Jiahui Chen & Jian Wang & Jonathan Wilhelm & Suxin Li & Jiwon Song & Wei Li & Zhichen Sun & Baran D. Sumer & Bo Li & Yang-Xin Fu & Jinming Gao, 2022. "Lactate increases stemness of CD8 + T cells to augment anti-tumor immunity," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Ping Yang & Hong Qin & Yiyu Li & Anhua Xiao & Enze Zheng & Han Zeng & Chunxiao Su & Xiaoqing Luo & Qiannan Lu & Meng Liao & Lei Zhao & Li Wei & Zac Varghese & John F. Moorhead & Yaxi Chen & Xiong Z. R, 2022. "CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasis," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Matteo Villa & David E. Sanin & Petya Apostolova & Mauro Corrado & Agnieszka M. Kabat & Carmine Cristinzio & Annamaria Regina & Gustavo E. Carrizo & Nisha Rana & Michal A. Stanczak & Francesc Baixauli, 2024. "Prostaglandin E2 controls the metabolic adaptation of T cells to the intestinal microenvironment," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:593:y:2021:i:7858:d:10.1038_s41586-021-03442-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.