Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses
Open accessAbstract
Activated T cells engage aerobic glycolysis and anabolic metabolism for growth, proliferation, and effector functions. We propose that a glucose-poor tumor microenvironment limits aerobic glycolysis in tumor-infiltrating T cells, which suppresses tumoricidal effector functions. We discovered a new role for the glycolytic metabolite phosphoenolpyruvate (PEP) in sustaining T cell receptor-mediated Ca(2+)-NFAT signaling and effector functions by repressing sarco/ER Ca(2+)-ATPase (SERCA) activity. Tumor-specific CD4 and CD8 T cells could be metabolically reprogrammed by increasing PEP production through overexpression of phosphoenolpyruvate carboxykinase 1 (PCK1), which bolstered effector functions. Moreover, PCK1-overexpressing T cells restricted tumor growth and prolonged the survival of melanoma-bearing mice. This study uncovers new metabolic checkpoints for T cell activity and demonstrates that metabolic reprogramming of tumor-reactive T cells can enhance anti-tumor T cell responses, illuminating new forms of immunotherapy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High expression of hexokinase 2 in tumor cells can suppress transcription of the gene encoding IFN-γ, contributing to immune response evasion.
“For example, high expression of hexokinase 2 (HK2) in tumor cells can suppress transcription of the gene encoding IFN-γ, thereby contributing to immune response evasion.271”
From Drug repurposing for cancer therapy (2024) · cites this paper as [271]
In Results, HK2-overexpressing melanoma cells were associated with lower IFN-γ production by infiltrating CD4+ T cells and greater evasion of CD4+ T-cell surveillance. The same section reports an inverse correlation between tumor HK2 and Ifng mRNA, but does not show that HK2 directly suppresses transcription of the IFN-γ gene. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredAdministration of blocking antibodies to CTLA4/PD1 can restore glucose metabolism in mouse TILs contributing to tumour eradication.
“administration of blocking antibodies to CTLA4/PD1 can restore glucose metabolism in mouse TILs contributing to tumour eradication [80].”
From Senescence of T Lymphocytes: Implications for Enhancing Human Immunity (2016) · cites this paper as [80]
T regulatory cells (Tregs) are an inhibitory T cell population highly represented at the tumour site and characterized by AMPK-dependent metabolic requirements.
“the induction of T regulatory cells (Tregs), an inhibitory T cell population, highly represented at the tumour site and characterized by AMPK-dependent metabolic requirements [80].”
From Senescence of T Lymphocytes: Implications for Enhancing Human Immunity (2016) · cites this paper as [80]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455 · see citing works
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,314 · see citing works
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160 · see citing works
Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia
Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., Chew, A., Gonzalez, V. E., Zheng, Z., Lacey, S. F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407222 · Cited by 5,413 · see citing works
Nivolumab plus Ipilimumab in Advanced Melanoma
Wolchok, J. D., Kluger, H., Callahan, M. K., Postow, M. A., Rizvi, N. A., Lesokhin, A. M., Segal, N. H., Ariyan, C. E., Gordon, R.-A., Reed, K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1302369 · Cited by 4,230 · see citing works
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 1× · see citing works
“T cells displaying such properties are commonly referred to as ‘‘functionally exhausted’’ (Wherry, 2011).”
BackgroundCancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893 · see citing works
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233 · see citing works
Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.016 · Cited by 2,204 · see citing works
Smith-Garvin, J. E., Koretzky, G. A., & Jordan, M. S. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132706 · Cited by 2,144 · see citing works
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140 · cited 6× · see citing works
“Additionally, treating TH1 CD4+ T cells with PKM2activatorDASS,whichwill decrease intracellularPEP levels (data not shown) (Anastasiou et al., 2012), similarly suppressed the production of IFNg and CD40L (Figure S5C).”
BackgroundResultInfluentialMichalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091 · see citing works
Self-citationOncogenic Kras maintains pancreatic tumors through regulation of anabolic glucose metabolism
Ying, H., Kimmelman, A. C., Lyssiotis, C. A., Hua, S., Chu, G. C., Fletcher-Sananikone, E., Locasale, J. W., Son, J., Zhang, H., Coloff, J. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.01.058 · Cited by 2,043 · see citing works
Self-citationCTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms
Parry, R. V., Chemnitz, J. M., Frauwirth, K. A., Lanfranco, A. R., Braunstein, I., Kobayashi, S. V., Linsley, P. S., Thompson, C. B., & Riley, J. L. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.21.9543-9553.2005 · Cited by 1,931 · see citing works
Schwartz, R. H. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141110 · Cited by 1,487 · see citing works
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475 · see citing works
Self-citationFueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363 · see citing works
Metabolic Regulation of T Lymphocytes
MacIver, N. J., Michalek, R. D., & Rathmell, J. C. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095956 · Cited by 1,244 · see citing works
Self-citationBrafV600E cooperates with Pten loss to induce metastatic melanoma
Dankort, D., Curley, D. P., Cartlidge, R. A., Nelson, B., Karnezis, A. N., Damsky Jr, W. E., You, M. J., DePinho, R. A., McMahon, M., & Bosenberg, M. (2009) · Nature Genetics · doi:10.1038/ng.356 · Cited by 1,189 · see citing works
Self-citationMacintyre, A. N., Gerriets, V. A., Nichols, A., Michalek, R. D., Rudolph, M. C., Deoliveira, D., Anderson, S. M., Abel, E. D., Chen, B. J., Hale, L. P., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.05.004 · Cited by 1,129 · see citing works
Self-citationMoran, A. E., Holzapfel, K. L., Xing, Y., Cunningham, N. R., Maltzman, J. S., Punt, J. A., & Hogquist, K. A. (2011) · The Journal of Experimental Medicine · doi:10.1084/jem.20110308 · Cited by 1,035 · see citing works
Pyruvate kinase M2 activators promote tetramer formation and suppress tumorigenesis
Anastasiou, D., Yu, Y., Israelsen, W. J., Jiang, J.-K., Boxer, M. B., Hong, B. S., Tempel, W., Dimov, S., Shen, M., Jha, A., et al. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1060 · Cited by 816 · see citing works
T-helper-1-cell cytokines drive cancer into senescence
Braumüller, H., Wieder, T., Brenner, E., Aßmann, S., Hahn, M., Alkhaled, M., Schilbach, K., Essmann, F., Kneilling, M., Griessinger, C., et al. (2013) · Nature · doi:10.1038/nature11824 · Cited by 720 · see citing works
Hypoxia-inducible factors enhance the effector responses of CD8(+) T cells to persistent antigen
Doedens, A. L., Phan, A. T., Stradner, M. H., Fujimoto, J. K., Nguyen, J. V., Yang, E., Johnson, R. S., & Goldrath, A. W. (2013) · Nature Immunology · doi:10.1038/ni.2714 · Cited by 660 · cited 2× · see citing works
“Additionally, rewiring the metabolic activity of TILs, as demonstrated herein and elsewhere (Doedens et al., 2013), could pose a new strategy for enhancing the potency and durability of ACT.”
BackgroundInfluentialThe Energy Sensor AMPK Regulates T Cell Metabolic Adaptation and Effector Responses In Vivo
Blagih, J., Coulombe, F., Vincent, E. E., Dupuy, F., Galicia-Vázquez, G., Yurchenko, E., Raissi, T. C., van der Windt, G. J. W., Viollet, B., Pearce, E. L., et al. (2015) · Immunity · doi:10.1016/j.immuni.2014.12.030 · Cited by 659 · see citing works
Evidence for an Alternative Glycolytic Pathway in Rapidly Proliferating Cells
Heiden, M. G. V., Locasale, J. W., Swanson, K. D., Sharfi, H., Heffron, G. J., Amador‐Noguez, D., Christofk, H. R., Wagner, G., Rabinowitz, J. D., Asara, J. M., et al. (2010) · Science · doi:10.1126/science.1188015 · Cited by 635 · see citing works
Self-citationFinlay, D. K., Rosenzweig, E., Sinclair, L. V., Feijoo-Carnero, C., Hukelmann, J. L., Rolf, J., Panteleyev, A. A., Okkenhaug, K., & Cantrell, D. A. (2012) · Journal of Experimental Medicine · doi:10.1084/jem.20112607 · Cited by 596 · see citing works
Rapid effector function of memory CD8+ T cells requires an immediate-early glycolytic switch
Gubser, P. M., Bantug, G. R., Razik, L., Fischer, M., Dimeloe, S., Höenger, G., Müller-Durovic, B., Jauch, A., & Hess, C. (2013) · Nature Immunology · doi:10.1038/ni.2687 · Cited by 487 · see citing works
Egr-2 and Egr-3 are negative regulators of T cell activation
Safford, M., Collins, S. L., Lutz, M. A., Allen, A. N., Huang, C.-T., Kowalski, J., Blackford, A. L., Horton, M. R., Drake, C. G., Schwartz, R. H., et al. (2005) · Nature Immunology · doi:10.1038/ni1193 · Cited by 446 · see citing works
Ion channels and transporters in lymphocyte function and immunity
Feske, S., Skolnik, E. Y., & Prakriya, M. (2012) · Nature Reviews Immunology · doi:10.1038/nri3233 · Cited by 441 · see citing works
Self-citationOncometabolites: linking altered metabolism with cancer
Yang, M. H., Soga, T., & Pollard, P. J. (2013) · Journal of Clinical Investigation · doi:10.1172/jci67228 · Cited by 424 · see citing works
Cham, C. M., Driessens, G., O'Keefe, J. P., & Gajewski, T. F. (2008) · European Journal of Immunology · doi:10.1002/eji.200838289 · Cited by 388 · see citing works
Staron, M. M., Gray, S. M., Marshall, H. D., Parish, I. A., Chen, J. H., Perry, C. J., Cui, G., Li, M. O., & Kaech, S. M. (2014) · Immunity · doi:10.1016/j.immuni.2014.10.013 · Cited by 384 · see citing works
Self-citationImmune microenvironments in solid tumors: new targets for therapyPreprint
Shiao, S. L., Ganesan, A.-P., Rugo, H. S., & Coussens, L. M. (2011) · Genes & Development · doi:10.1101/gad.169029.111 · Cited by 320 · see citing works
Anergic T Cells Are Metabolically Anergic
Zheng, Y., Delgoffe, G. M., Meyer, C. F., Chan, W., & Powell, J. D. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0803510 · Cited by 280 · see citing works
Anti–CTLA-4 Antibody Therapy: Immune Monitoring During Clinical Development of a Novel Immunotherapy
Callahan, M. K., Wolchok, J. D., & Allison, J. P. (2010) · Seminars in Oncology · doi:10.1053/j.seminoncol.2010.09.001 · Cited by 243 · see citing works
THE INTERSTITIAL FLUID OF SOLID TUMORS.
Gullino, P. M., Clark, S. H., & Grantham, F. H. (1964) · PubMed · Cited by 238 · see citing works
Pentcheva‐Hoang, T., Corse, E., & Allison, J. P. (2009) · Immunological Reviews · doi:10.1111/j.1600-065x.2009.00763.x · Cited by 202 · see citing works
The three main stumbling blocks for anticancer T cells
Baitsch, L., Marraco, S. A. F., Legat, A., Meyer, C., & Speiser, D. E. (2012) · Trends in Immunology · doi:10.1016/j.it.2012.02.006 · Cited by 144 · see citing works
Immune-based antitumor effects of BRAF inhibitors rely on signaling by CD40L and IFNγ
Ho, P.-C., Meeth, K. M., Tsui, Y.-C., Srivastava, B., Bosenberg, M. W., & Kaech, S. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-3461 · Cited by 126 · see citing works
Self-citationQin, F., Siwik, D. A., Lancel, S., Zhang, J., Kuster, G. M., Luptak, I., Wang, L., Tong, X., Kang, Y. J., Cohen, R. A., et al. (2013) · Journal of the American Heart Association · doi:10.1161/jaha.113.000184 · Cited by 122 · see citing works
Sharov, V. S., Dremina, E. S., Galeva, N. A., Williams, T. D., & Schöneich, C. (2006) · Biochemical Journal · doi:10.1042/bj20051214 · Cited by 121 · see citing works
Early T Cell Signalling Is Reversibly Altered in PD-1+ T Lymphocytes Infiltrating Human Tumors
Renault, S., Fouquet, S., Chapon, M., Salmon, H., Régnier, F., Labroquère, K., Badoual, C., Damotte, D., Validire, P., Maubec, E., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017621 · Cited by 87 · see citing works
Borge, P. D., & Wolf, B. A. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m209521200 · Cited by 43 · see citing works
Srinivasan, M., & Frauwirth, K. A. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.179.6.3734 · Cited by 40 · see citing works
Cytoplasmic receptor-interacting protein 140 (RIP140) interacts with perilipin to regulate lipolysis
Ho, P., Chuang, Y.-S., Hung, C.-H., & Wei, L. (2011) · Cellular Signalling · doi:10.1016/j.cellsig.2011.03.023 · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The Warburg Effect: How Does it Benefit Cancer Cells?
Liberti, M. V., & Locasale, J. W. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.12.001 · Cited by 5,150 · see citing works
Self-citationMechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy
Topalian, S. L., Taube, J. M., Anders, R. A., & Pardoll, D. M. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.36 · Cited by 2,733 · see citing works
Zou, W., Wolchok, J. D., & Chen, L. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad7118 · Cited by 2,382 · see citing works
Understanding the Intersections between Metabolism and Cancer Biology
Heiden, M. G. V., & DeBerardinis, R. J. (2017) · Cell · doi:10.1016/j.cell.2016.12.039 · Cited by 2,316 · see citing works
Miller, B. C., Sen, D. R., Al Abosy, R., Bi, K., Virkud, Y. V., LaFleur, M. W., Yates, K. B., Lako, A., Felt, K., Naik, G. S., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0312-6 · Cited by 2,087 · see citing works
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Azizi, E., Carr, A. J., Plitas, G., Cornish, A. E., Konopacki, C., Prabhakaran, S., Nainys, J., Wu, K., Kiseliovas, V., Setty, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.060 · Cited by 1,976 · see citing works
LDHA-Associated Lactic Acid Production Blunts Tumor Immunosurveillance by T and NK Cells
Brand, A., Singer, K., Koehl, G. E., Kolitzus, M., Schoenhammer, G., Thiel, A., Matos, C., Bruss, C., Klobuch, S., Peter, K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.011 · Cited by 2,039 · see citing works
L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity
Geiger, R., Rieckmann, J. C., Wolf, T., Basso, C., Feng, Y., Fuhrer, T., Kogadeeva, M., Picotti, P., Meissner, F., Mann, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.031 · Cited by 1,775 · see citing works
Immunometabolism governs dendritic cell and macrophage function
O'Neill, L. A. J., & Pearce, E. J. (2015) · The Journal of Experimental Medicine · doi:10.1084/jem.20151570 · Cited by 1,715 · see citing works
The hallmarks of cancer metabolism: still emerging
Pavlova, N. N., Zhu, J., & Thompson, C. B. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.007 · Cited by 1,418 · see citing works
Endoplasmic reticulum stress signals in the tumour and its microenvironment
Chen, X., & Cubillos-Ruiz, J. R. (2021) · Nature Reviews Cancer · doi:10.1038/s41568-020-00312-2 · Cited by 1,356 · see citing works
The cancer metabolic reprogramming and immune response
Xia, L., Oyang, L., Lin, J., Tan, S., Han, Y., Wu, N., Yi, P., Tang, L., Pan, Q., Rao, S., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01316-8 · Cited by 1,312 · see citing works
Thommen, D. S., & Schumacher, T. N. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.012 · Cited by 1,304 · see citing works
Mitochondrial metabolism and cancer
Porporato, P. E., Filigheddu, N., Pedro, J. M. B., Kroemer, G., & Galluzzi, L. (2017) · Cell Research · doi:10.1038/cr.2017.155 · Cited by 1,292 · see citing works
Metabolic support of tumour-infiltrating regulatory T cells by lactic acid
Watson, M. J., Vignali, P., Mullett, S. J., Overacre-Delgoffe, A. E., Peralta, R. M., Grebinoski, S., Menk, A. V., Rittenhouse, N., DePeaux, K., Whetstone, R. D., et al. (2021) · Nature · doi:10.1038/s41586-020-03045-2 · Cited by 1,280 · see citing works
Foxp3 Reprograms T Cell Metabolism to Function in Low-Glucose, High-Lactate Environments
Angelin, A., Gil‐de‐Gómez, L., Dahiya, S., Jiao, J., Guo, L., Levine, M. H., Wang, Z., Quinn, W. J., Kopinski, P. K., Wang, L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.018 · Cited by 1,263 · see citing works
Thommen, D. S., Koelzer, V. H., Herzig, P., Roller, A., Trefny, M., Dimeloe, S., Kiialainen, A., Hanhart, J., Schill, C., Hess, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0057-z · Cited by 1,161 · see citing works
“5 (2D1), -CD56 PE (CMSSB), - CD3 APC-eFluor780 (SK7), -Lag-3 FITC (3DS223H), -TIGIT PE (MBSA43), -2B4 FITC (eBioDM244), -CD137 FITC (4B4), -IL-2 PE (MQ1-17H12), -TNF-α APC (MAb11), - CD26 FITC (2A6), -CXCR5 Biotin (MU5UBEE), -ICOS FITC (ISA-3), -CD38 APC (HIT2), -Eomes eFluor660 (WD1928), -T-bet PE (eBio4B10), -pSTAT3…”
InfluentialSelf-citationMetabolic Instruction of Immunity
Buck, M. D., Sowell, R., Kaech, S. M., & Pearce, E. L. (2017) · Cell · doi:10.1016/j.cell.2017.04.004 · Cited by 1,232 · see citing works
Self-citationReprogramming glucose metabolism in cancer: can it be exploited for cancer therapy?
Hay, N. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.77 · Cited by 1,124 · see citing works
The Principles of Engineering Immune Cells to Treat Cancer
Lim, W. A., & June, C. H. (2017) · Cell · doi:10.1016/j.cell.2017.01.016 · Cited by 1,084 · see citing works
Targeting Metabolism to Improve the Tumor Microenvironment for Cancer Immunotherapy
Bader, J. E., Voss, K., & Rathmell, J. C. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.05.034 · Cited by 1,038 · see citing works
Self-citationCell-programmed nutrient partitioning in the tumour microenvironment
Reinfeld, B. I., Madden, M. Z., Wolf, M. M., Chytil, A. M., Bader, J. E., Patterson, A. R., Sugiura, A., Cohen, A. S., Ali, A., Do, B. T., et al. (2021) · Nature · doi:10.1038/s41586-021-03442-1 · Cited by 1,062 · see citing works
Self-citationThe hypoxic tumour microenvironment
Petrova, V., Annicchiarico‐Petruzzelli, M., Melino, G., & Amelio, I. (2018) · Oncogenesis · doi:10.1038/s41389-017-0011-9 · Cited by 1,035 · see citing works
Tumour acidosis: from the passenger to the driver's seat
Corbet, C., & Féron, O. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2017.77 · Cited by 998 · see citing works
Roh, W., Chen, P.-L., Reuben, A., Spencer, C. N., Prieto, P. A., Miller, J. P., Gopalakrishnan, V., Wang, F., Cooper, Z. A., Reddy, S. M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah3560 · Cited by 859 · see citing works
Scharping, N. E., Rivadeneira, D. B., Menk, A. V., Vignali, P. D. A., Ford, B. R., Rittenhouse, N. L., Peralta, R., Wang, Y., Wang, Y., DePeaux, K., et al. (2021) · Nature Immunology · doi:10.1038/s41590-020-00834-9 · Cited by 897 · see citing works
Metabolic Interactions in the Tumor Microenvironment
Lyssiotis, C. A., & Kimmelman, A. C. (2017) · Trends in Cell Biology · doi:10.1016/j.tcb.2017.06.003 · Cited by 853 · see citing works
“Glucose availability in the TME is inversely proportional to local utilization, and this access has a strong impact on the activity of anti-tumor effector T cells [60, 61].”
BackgroundKumagai, S., Koyama, S., Itahashi, K., Tanegashima, T., Lin, Y.-T., Togashi, Y., Kamada, T., Irie, T., Okumura, G., Kono, H., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.01.001 · Cited by 892 · see citing works
Bengsch, B., Johnson, A. L., Kurachi, M., Odorizzi, P. M., Pauken, K. E., Attanasio, J., Stelekati, E., McLane, L. M., Paley, M. A., Delgoffe, G. M., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.07.008 · Cited by 868 · see citing works
“In agreement with this notion, a recently described glucose deprivation signature (Ho et al., 2015) was enriched in CD8 T cells from clone 13 versus Arm infection at day 8 p.”
BackgroundInfluentialMetabolism of immune cells in cancer
Leone, R. D., & Powell, J. D. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0273-y · Cited by 877 · see citing works
Scharping, N. E., Menk, A. V., Moreci, R. S., Whetstone, R. D., Dadey, R. E., Watkins, S. C., Ferris, R. L., & Delgoffe, G. M. (2016) · Immunity · doi:10.1016/j.immuni.2016.07.009 · Cited by 848 · see citing works
Hypoxia-Inducible Factors: Master Regulators of Cancer Progression
Schito, L., & Semenza, G. L. (2016) · Trends in Cancer · doi:10.1016/j.trecan.2016.10.016 · Cited by 962 · see citing works
Wang, T., Fahrmann, J., Lee, H., Li, Y.-J., Tripathi, S. C., Yue, C., Zhang, C.-Y., Lifshitz, V., Song, J., Yuan, Y., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.11.001 · Cited by 580 · see citing works
Glutamine Metabolism in Cancer: Understanding the Heterogeneity
Cluntun, A. A., Lukey, M. J., Cerione, R. A., & Locasale, J. W. (2017) · Trends in Cancer · doi:10.1016/j.trecan.2017.01.005 · Cited by 796 · see citing works
Self-citationXu, S., Chaudhary, O., Rodríguez-Morales, P., Sun, X., Chen, D., Zappasodi, R., Xu, Z. Z., Pinto, A. F. M., Williams, A. E., Schulze, I., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.05.003 · Cited by 815 · see citing works
Self-citationUnraveling the Complex Interplay Between T Cell Metabolism and Function
Geltink, R. I. K., Kyle, R. L., & Pearce, E. L. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053019 · Cited by 821 · see citing works
Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanism
Peng, M., Yin, N., Chhangawala, S., Xu, K., Leslie, C. S., & Li, M. O. (2016) · Science · doi:10.1126/science.aaf6284 · Cited by 787 · see citing works
Obesity Shapes Metabolism in the Tumor Microenvironment to Suppress Anti-Tumor Immunity
Ringel, A. E., Drijvers, J. M., Baker, G. J., Catozzi, A., García-Cañaveras, J. C., Gassaway, B. M., Miller, B. C., Juneja, V. R., Nguyen, T. H., Joshi, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.009 · Cited by 780 · see citing works
Lipid metabolism in cancer: New perspectives and emerging mechanisms
Broadfield, L. A., Pane, A. A., Talebi, A., Swinnen, J. V., & Fendt, S. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.013 · Cited by 763 · see citing works
Metabolic coordination of T cell quiescence and activation
Chapman, N. M., Boothby, M. R., & Chi, H. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0203-y · Cited by 749 · see citing works
Maj, T., Wang, W., Crespo, J., Zhang, H., Wang, W., Wei, S., Zhao, L., Vatan, L., Shao, I., Szeliga, W., et al. (2017) · Nature Immunology · doi:10.1038/ni.3868 · Cited by 733 · see citing works
Navigating metabolic pathways to enhance antitumour immunity and immunotherapy
Li, X., Wenes, M., Romero, P. J., Huang, S. C., Fendt, S., & Ho, P. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0203-7 · Cited by 745 · see citing works
Self-citationDistinct Regulation of Th17 and Th1 Cell Differentiation by Glutaminase-Dependent Metabolism
Johnson, M. O., Wolf, M. M., Madden, M. Z., Andrejeva, G., Sugiura, A., Contreras, D. C., Maseda, D., Liberti, M. V., Paz, K. G., Kishton, R. J., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.001 · Cited by 702 · see citing works
Self-citationScharping, N. E., Menk, A. V., Moreci, R. S., Whetstone, R. D., Dadey, R., Watkins, S. C., Ferris, R. L., & Delgoffe, G. M. (2016) · Immunity · doi:10.1016/j.immuni.2016.08.009 · Cited by 705 · see citing works
Obstacles Posed by the Tumor Microenvironment to T cell Activity: A Case for Synergistic Therapies
Anderson, K. G., Stromnes, I. M., & Greenberg, P. D. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.02.008 · Cited by 706 · see citing works
Metabolic programming and immune suppression in the tumor microenvironment
Arner, E. N., & Rathmell, J. C. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.01.009 · Cited by 692 · see citing works
Self-citationIonic immune suppression within the tumour microenvironment limits T cell effector function
Eil, R. L., Vodnala, S. K., Clever, D. C., Klebanoff, C. A., Sukumar, M., Pan, J. H., Palmer, D. C., Gros, A., Yamamoto, T. N., Patel, S. J., et al. (2016) · Nature · doi:10.1038/nature19364 · Cited by 680 · see citing works
CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors
Wang, H., Franco, F., Tsui, Y.-C., Xie, X., Trefny, M. P., Zappasodi, R., Mohmood, S. R., Fernández-García, J., Tsai, C.-H., Schulze, I., et al. (2020) · Nature Immunology · doi:10.1038/s41590-019-0589-5 · Cited by 680 · see citing works
Self-citationMetabolites and the Tumour Microenvironment: From Cellular Mechanisms to Systemic Metabolism
Elia, I., & Haigis, M. C. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00317-z · Cited by 651 · see citing works
The multifaceted role of CD4+ T cells in CD8+ T cell memory
Laidlaw, B. J., Craft, J. E., & Kaech, S. M. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2015.10 · Cited by 657 · see citing works
Self-citationSerine is an essential metabolite for effector T cell expansion
Ma, E. H., Bantug, G., Griss, T., Condotta, S., Johnson, R. M., Samborska, B., Mainolfi, N., Suri, V., Guak, H., Balmer, M. L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.011 · Cited by 657 · see citing works
How the Warburg effect supports aggressiveness and drug resistance of cancer cells?
Icard, P., Shulman, S. D., Farhat, D., Steyaert, J., Alifano, M., & Lincet, H. (2018) · Drug Resistance Updates · doi:10.1016/j.drup.2018.03.001 · Cited by 648 · see citing works
Glycolysis – a key player in the inflammatory response
Soto‐Heredero, G., Heras, M. M. G. D. L., Gabandé‐Rodríguez, E., Oller, J., & Mittelbrunn, M. (2020) · FEBS Journal · doi:10.1111/febs.15327 · Cited by 645 · see citing works
Engineering CAR-T Cells for Next-Generation Cancer Therapy
Hong, M., Clubb, J. D., & Chen, Y. Y. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.07.005 · Cited by 644 · see citing works
Mechanisms and Implications of Metabolic Heterogeneity in Cancer
Kim, J., & DeBerardinis, R. J. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.013 · Cited by 606 · see citing works
CD8+ T cell metabolism in infection and cancer
Reina-Campos, M., Scharping, N. E., & Goldrath, A. W. (2021) · Nature reviews. Immunology · doi:10.1038/s41577-021-00537-8 · Cited by 574 · see citing works
Sullivan, M. R., Danai, L. V., Lewis, C. A., Chan, S. H., Gui, D. Y., Kunchok, T., Dennstedt, E. A., Vander Heiden, M. G., & Muir, A. (2019) · eLife · doi:10.7554/elife.44235 · Cited by 588 · see citing works
Zhang, Y., Kurupati, R. K., Liu, L., Zhou, X., Zhang, G., Hudaihed, A., Filisio, F., Giles‐Davis, W., Xu, X., Karakousis, G. C., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.08.004 · Cited by 614 · see citing works
Deepak, K. G. K., Vempati, R. K., Nagaraju, G. P., Dasari, V. R., Nagini, S., Rao, D. N., & Malla, R. R. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104683 · Cited by 618 · see citing works
Metabolic barriers to cancer immunotherapy
DePeaux, K., & Delgoffe, G. M. (2021) · Nature reviews. Immunology · doi:10.1038/s41577-021-00541-y · Cited by 614 · see citing works
Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion
Yu, Y.-R., Imrichova, H., Wang, H., Chao, T., Xiao, Z., Gao, M., Rincon-Restrepo, M., Franco, F., Genolet, R., Cheng, W.-C., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0793-3 · Cited by 593 · see citing works
Self-citationThe hallmarks of successful anticancer immunotherapy
Galluzzi, L., Chan, T. A., Kroemer, G., Wolchok, J. D., & López-Soto, A. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat7807 · Cited by 575 · see citing works
Regulatory circuits of T cell function in cancer
Speiser, D. E., Ho, P., & Verdeil, G. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.80 · Cited by 559 · see citing works
Self-citationNavigating CAR-T cells through the solid-tumour microenvironment
Hou, A. J., Chen, L. C., & Chen, Y. Y. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00189-2 · Cited by 556 · see citing works
Metabolic Regulation of T Cell Longevity and Function in Tumor Immunotherapy
Kishton, R. J., Sukumar, M., & Restifo, N. P. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.016 · Cited by 548 · see citing works
The impact of cellular metabolism on chromatin dynamics and epigenetics
Reid, M. A., Dai, Z., & Locasale, J. W. (2017) · Nature Cell Biology · doi:10.1038/ncb3629 · Cited by 515 · see citing works
Self-citationSuppression of antitumor T cell immunity by the oncometabolite (R)-2-hydroxyglutarate
Bunse, L., Pusch, S., Bunse, T., Sahm, F., Sanghvi, K., Friedrich, M., Alansary, D., Sonner, J. K., Green, E., Deumelandt, K., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0095-6 · Cited by 544 · see citing works
Metabolic modeling of single Th17 cells reveals regulators of autoimmunity
Wagner, A., Wang, C., Fessler, J., DeTomaso, D., Avila-Pacheco, J., Kaminski, J., Zaghouani, S., Christian, E., Thakore, P., Schellhaass, B., et al. (2021) · Cell · doi:10.1016/j.cell.2021.05.045 · Cited by 524 · see citing works
Efficacy of PD-1 Blockade Is Potentiated by Metformin-Induced Reduction of Tumor Hypoxia
Scharping, N. E., Menk, A. V., Whetstone, R. D., Zeng, X., & Delgoffe, G. M. (2017) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0103 · Cited by 520 · see citing works
“However, in the tumor microenvironment, as glucose is limiting, only cells able to effectively compete for glucose would experience an enhanced response (15, 16).”
BackgroundGlucose transporters in cancer – from tumor cells to the tumor microenvironment
Ancey, P., Contat, C., & Meylan, E. (2018) · FEBS Journal · doi:10.1111/febs.14577 · Cited by 516 · see citing works
Macrophage Metabolism Controls Tumor Blood Vessel Morphogenesis and Metastasis
Wenes, M., Shang, M., Di Matteo, M., Goveia, J., Martín-Pérez, R., Serneels, J., Prenen, H., Ghesquière, B., Carmeliet, P., & Mazzone, M. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.008 · Cited by 496 · see citing works
Man, K., Gabriel, S. S., Liao, Y., Gloury, R., Preston, S., Henstridge, D. C., Pellegrini, M., Zehn, D., Berberich‐Siebelt, F., Febbraio, M. A., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.11.021 · Cited by 489 · see citing works
Saravia, J., Chapman, N. M., & Chi, H. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0220-6 · Cited by 489 · see citing works
NK Cell Metabolism and Tumor Microenvironment
Terrén, I., Orrantia, A., Vitallé, J., Zenarruzabeitia, O., & Borrego, F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02278 · Cited by 504 · see citing works
Reversing T-cell Dysfunction and Exhaustion in Cancer
Zarour, H. M. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1849 · Cited by 462 · see citing works
Menk, A. V., Scharping, N. E., Moreci, R. S., Zeng, X., Guy, C. S., Salvatore, S. R., Bae, H. R., Xie, J., Young, H. A., Wendell, S. G., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.040 · Cited by 478 · see citing works
Metabolic and epigenetic regulation of T-cell exhaustion
Franco, F., Jaccard, A., Romero, P. J., Yu, Y.-R., & Ho, P. (2020) · Nature Metabolism · doi:10.1038/s42255-020-00280-9 · Cited by 457 · see citing works
Self-citationCD8+ T cells in the cancer-immunity cycle
Giles, J. R., Globig, A.-M., Kaech, S. M., & Wherry, E. J. (2023) · Immunity · doi:10.1016/j.immuni.2023.09.005 · Cited by 467 · see citing works
Self-citationResistance Mechanisms to Anti-PD Cancer Immunotherapy
Vesely, M. D., Zhang, T., & Chen, L. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-070621-030155 · Cited by 468 · see citing works
Immunometabolism: Cellular Metabolism Turns Immune Regulator
Loftus, R. M., & Finlay, D. K. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.r115.693903 · Cited by 446 · see citing works
Li, W., Tanikawa, T., Kryczek, I., Xia, H., Li, G., Wu, K., Wei, S., Zhao, L., Vatan, L., Wen, B., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.022 · Cited by 448 · see citing works
Immunometabolism and natural killer cell responses
O’Brien, K., & Finlay, D. K. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0139-2 · Cited by 435 · see citing works
S-2-hydroxyglutarate regulates CD8(+) T-lymphocyte fate
Tyrakis, P. A., Palazon, A., Macias, D., Lee, K. L., Phan, A. T., Veliça, P., You, J., Chia, G. S., Sim, J., Doedens, A., et al. (2016) · Nature · doi:10.1038/nature20165 · Cited by 433 · see citing works
The ever-expanding role of HIF in tumour and stromal biology
LaGory, E. L., & Giaccia, A. J. (2016) · Nature Cell Biology · doi:10.1038/ncb3330 · Cited by 432 · see citing works
Field, C. S., Baixauli, F., Kyle, R. L., Puleston, D. J., Cameron, A. M., Sanin, D. E., Hippen, K. L., Loschi, M. L., Thangavelu, G., Corrado, M., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.021 · Cited by 428 · see citing works
Drug repurposing for cancer therapy
Xia, Y., Sun, M., Huang, H., & Jin, W.-L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01808-1 · Cited by 443 · see citing works
“271 This concept of “ oncometabolites ” has ushered in a new era for cancer treatment.”
BackgroundIRE1α–XBP1 controls T cell function in ovarian cancer by regulating mitochondrial activity
Song, M., Sandoval, T. A., Chae, C.-S., Chopra, S., Tan, C., Rutkowski, M. R., Raundhal, M., Chaurio, R. A., Payne, K. K., Konrad, C., et al. (2018) · Nature · doi:10.1038/s41586-018-0597-x · Cited by 413 · see citing works
Influence of the Tumor Microenvironment on NK Cell Function in Solid Tumors
Melaiu, O., Lucarini, V., Cifaldi, L., & Fruci, D. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2019.03038 · Cited by 418 · see citing works
The spectrum of T cell metabolism in health and disease
Bantug, G. R., Galluzzi, L., Kroemer, G., & Hess, C. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2017.99 · Cited by 421 · see citing works
Energy metabolism in health and diseases
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02141-x · Cited by 438 · see citing works
Mitochondrial control of immunity: beyond ATP
Mehta, M., Weinberg, S. E., & Chandel, N. S. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2017.66 · Cited by 398 · see citing works
CTLA-4 blockade drives loss of Treg stability in glycolysis-low tumours
Zappasodi, R., Serganova, I. S., Cohen, I., Maeda, M., Shindo, M., Şenbabaoğlu, Y., Watson, M. J., Leftin, A., Maniyar, R. R., Verma, S., et al. (2021) · Nature · doi:10.1038/s41586-021-03326-4 · Cited by 395 · see citing works
Self-citationSiska, P. J., Beckermann, K. E., Mason, F. M., Andrejeva, G., Greenplate, A. R., Sendor, A. B., Chiang, Y.-C. J., Corona, A. L., Gemta, L. F., Vincent, B. G., et al. (2017) · JCI Insight · doi:10.1172/jci.insight.93411 · Cited by 389 · see citing works
Self-citationLessons learned from the blockade of immune checkpoints in cancer immunotherapy
Li, X., Shao, C., Shi, Y., & Han, W. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0578-4 · Cited by 385 · see citing works
Loftus, R. M., Aßmann, N., Kedia-Mehta, N., O’Brien, K., Garcia, A., Gillespie, C. S., Hukelmann, J. L., Oefner, P. J., Lamond, A. I., Gardiner, C. M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04719-2 · Cited by 383 · see citing works
The ERK and JNK pathways in the regulation of metabolic reprogramming
Papa, S., Choy, P. M., & Bubici, C. (2018) · Oncogene · doi:10.1038/s41388-018-0582-8 · Cited by 381 · see citing works
Exhaustion and senescence: two crucial dysfunctional states of T cells in the tumor microenvironment
Zhao, Y., Shao, Q., & Peng, G. (2020) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0344-8 · Cited by 382 · see citing works
Edwards, D. N., Ngwa, V. M., Raybuck, A. L., Wang, S., Hwang, Y., Kim, L. C., Cho, S. H., Paik, Y., Wang, Q., Zhang, S., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci140100 · Cited by 379 · see citing works
Self-citationMicroenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity
Park, J., Hsueh, P., Li, Z., & Ho, P. (2023) · Immunity · doi:10.1016/j.immuni.2022.12.008 · Cited by 379 · see citing works
Self-citationMetabolic Hallmarks of Tumor and Immune Cells in the Tumor Microenvironment
Renner, K., Singer, K., Koehl, G. E., Geissler, E. K., Peter, K., Siska, P. J., & Kreutz, M. P. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00248 · Cited by 378 · see citing works
- Authors
- Ho, P.-C., Bihuniak, J. D., Macintyre, A. N., Staron, M., Liu, X., Amezquita, R., Tsui, Y.-C., Cui, G., Micevic, G., Perales, J. C., Kleinstein, S. H., Abel, E. D., Insogna, K. L., Feske, S., Locasale, J. W., Bosenberg, M. W., Rathmell, J. C., & Kaech, S. M.
- Affiliations
- Yale University (US)
- Duke University (US)
- Cornell University (US)
- Howard Hughes Medical Institute (US)
- Institut d'Investigació Biomédica de Bellvitge (ES)
- University of Iowa (US)
- NYU Langone Health (US)
- Corresponding author
- Ho, Ping-Chih
- Kaech, Susan M.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 162
- Issue
- 6
- Pages
- 1217-1228
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4567953
- OpenAlex
- W2160551785
- Cited by
- 1,462
- References
- 47
- Citations by year
- 2026: 125 · 2025: 148 · 2024: 127 · 2023: 147 · 2022: 155 · 2021: 168 · 2020: 156 · 2019: 116 · 2018: 116 · 2017: 110 · 2016: 84 · 2015: 10
- FWCI
- 35.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Heart, Lung, and Blood Institute (R01HL108006)
- National Cancer Institute (R00CA168997, R01CA123350, F30CA196089, P50CA121974, P30CA016359)
- National Institute of General Medical Sciences (T32GM007205)
- National Institute of Allergy and Infectious Diseases (R01AI110613, R37AI066232, R01AI063345, R01AI097302, R01AI074699, R01AI066232)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (P30AR053495)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- phosphoenolpyruvate, T cell metabolism, tumor-infiltrating T cells, aerobic glycolysis, tumor microenvironment, PCK1, SERCA, calcium signaling, NFAT, T cell effector function, metabolic reprogramming, antitumor immunity, melanoma, immunotherapy
- MeSH terms
- Animals, Calcium, Endoplasmic Reticulum, Glycolysis, Hexokinase, Immunotherapy, Melanoma, Phosphoenolpyruvate, Receptors, Antigen, T-Cell, Monitoring, Immunologic, Signal Transduction, CD4-Positive T-Lymphocytes, Transforming Growth Factor beta, Lymphocytes, Tumor-Infiltrating, NFATC Transcription Factors, Mice, Sarcoplasmic Reticulum Calcium-Transporting ATPases, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review