Literature DB >> 33828302

Cell-programmed nutrient partitioning in the tumour microenvironment.

Bradley I Reinfeld1,2,3, Matthew Z Madden1,4, Melissa M Wolf2,3, Anna Chytil2, Jackie E Bader4, Andrew R Patterson4, Ayaka Sugiura1,4, Allison S Cohen5,6, Ahmed Ali7,8, Brian T Do7,8, Alexander Muir9, Caroline A Lewis10, Rachel A Hongo2,4, Kirsten L Young2,4, Rachel E Brown1,2,3, Vera M Todd2,3, Tessa Huffstater11, Abin Abraham1,12, Richard T O'Neil2,13, Matthew H Wilson2,13, Fuxue Xin5,6, M Noor Tantawy5,6, W David Merryman11, Rachelle W Johnson2, Christopher S Williams2,13, Emily F Mason4, Frank M Mason2, Katherine E Beckermann2, Matthew G Vander Heiden7,8,14, H Charles Manning5,6, Jeffrey C Rathmell15,16, W Kimryn Rathmell17,18.   

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.

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Year:  2021        PMID: 33828302      PMCID: PMC8122068          DOI: 10.1038/s41586-021-03442-1

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  3 in total

1.  NACHO: an R package for quality control of NanoString nCounter data.

Authors:  Mickaël Canouil; Gerard A Bouland; Amélie Bonnefond; Philippe Froguel; Leen M 't Hart; Roderick C Slieker
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

2.  Tumor-Associated Macrophages Enhance Tumor Hypoxia and Aerobic Glycolysis.

Authors:  Sungjee Kim; Gi Jeong Cheon; Hoibin Jeong; Sehui Kim; Beom-Ju Hong; Chan-Ju Lee; Young-Eun Kim; Seoyeon Bok; Jung-Min Oh; Seung-Hee Gwak; Min Young Yoo; Min Sun Lee; Seock-Jin Chung; Joan Defrêne; Philippe Tessier; Martin Pelletier; Hyeongrin Jeon; Tae-Young Roh; Bumju Kim; Ki Hean Kim; Ji Hyeon Ju; Yoon-Jin Lee; Dong-Wan Kim; Il Han Kim; Hak Jae Kim; Jong-Wan Park; Yun-Sang Lee; Jae Sung Lee; Irving L Weissman; Doo Hyun Chung; Yoon Kyung Jeon; G-One Ahn
Journal:  Cancer Res       Date:  2019-01-04       Impact factor: 12.701

3.  Single Cell Glucose Uptake Assays: A Cautionary Tale.

Authors:  Linda V Sinclair; Celine Barthelemy; Doreen A Cantrell
Journal:  Immunometabolism       Date:  2020-08-17
  3 in total
  110 in total

1.  Preferential glutamine uptake in cancer cells.

Authors:  Monica Wang
Journal:  Nat Rev Nephrol       Date:  2021-06       Impact factor: 28.314

Review 2.  Myeloid cell-targeted therapies for solid tumours.

Authors:  Sangeeta Goswami; Swetha Anandhan; Deblina Raychaudhuri; Padmanee Sharma
Journal:  Nat Rev Immunol       Date:  2022-06-13       Impact factor: 53.106

Review 3.  Metabolic adaptation of lymphocytes in immunity and disease.

Authors:  Nicole M Chapman; Hongbo Chi
Journal:  Immunity       Date:  2022-01-11       Impact factor: 31.745

Review 4.  The hallmarks of cancer metabolism: Still emerging.

Authors:  Natalya N Pavlova; Jiajun Zhu; Craig B Thompson
Journal:  Cell Metab       Date:  2022-02-04       Impact factor: 27.287

Review 5.  Metabolic regulation of the cancer-immunity cycle.

Authors:  Luis F Somarribas Patterson; Santosha A Vardhana
Journal:  Trends Immunol       Date:  2021-10-02       Impact factor: 16.687

6.  Characterization of the Immune Cell Infiltration Profile in Pancreatic Carcinoma to Aid in Immunotherapy.

Authors:  Fei Kuang; Juan Du; Mengjia Zhou; Fangyi Peng; Yu Gan; Cheng Fang; Xiaoli Yang; Bo Li; Song Su
Journal:  Front Oncol       Date:  2021-05-13       Impact factor: 6.244

Review 7.  Lactate shuttle: from substance exchange to regulatory mechanism.

Authors:  Xingchen Wang; He Liu; Yingqian Ni; Peibo Shen; Xiuzhen Han
Journal:  Hum Cell       Date:  2021-10-04       Impact factor: 4.174

Review 8.  Glucose Metabolism: The Metabolic Signature of Tumor Associated Macrophage.

Authors:  Qi Zhang; Junli Wang; Dipesh Kumar Yadav; Xueli Bai; Tingbo Liang
Journal:  Front Immunol       Date:  2021-06-29       Impact factor: 7.561

Review 9.  Acquired Resistance to Immune Checkpoint Blockades: The Underlying Mechanisms and Potential Strategies.

Authors:  Binghan Zhou; Yuan Gao; Peng Zhang; Qian Chu
Journal:  Front Immunol       Date:  2021-06-14       Impact factor: 7.561

Review 10.  Cancer metabolism: looking forward.

Authors:  Inmaculada Martínez-Reyes; Navdeep S Chandel
Journal:  Nat Rev Cancer       Date:  2021-07-16       Impact factor: 60.716

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