Inhibitory effect of tumor cell-derived lactic acid on human T cells
Open accessAbstract
A characteristic feature of tumors is high production of lactic acid due to enhanced glycolysis. Here, we show a positive correlation between lactate serum levels and tumor burden in cancer patients and examine the influence of lactic acid on immune functions in vitro. Lactic acid suppressed the proliferation and cytokine production of human cytotoxic T lymphocytes (CTLs) up to 95% and led to a 50% decrease in cytotoxic activity. A 24-hour recovery period in lactic acid–free medium restored CTL function. CTLs infiltrating lactic acid–producing multicellular tumor spheroids showed a reduced cytokine production. Pretreatment of tumor spheroids with an inhibitor of lactic acid production prevented this effect. Activated T cells themselves use glycolysis and rely on the efficient secretion of lactic acid, as its intracellular accumulation disturbs their metabolism. Export by monocarboxylate transporter-1 (MCT-1) depends on a gradient between cytoplasmic and extracellular lactic acid concentrations and consequently, blockade of MCT-1 resulted in impaired CTL function. We conclude that high lactic acid concentrations in the tumor environment block lactic acid export in T cells, thereby disturbing their metabolism and function. These findings suggest that targeting this metabolic pathway in tumors is a promising strategy to enhance tumor immunogenicity.
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?
In a highly glycolytic tumor microenvironment, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells.
“For example, accumulation of lactate derived from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes, whereas in the context of a highly glycolytic TME, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells [87, 88].”
From The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation (2025) · cites this paper as [87]
The Abstract and Discussion report that tumor-derived lactic acid suppresses CD8+ cytotoxic T-cell function. They do not address immune checkpoint inhibition or a PD-1 expression balance between CD8+ T cells and Treg cells, so they do not support the claimed effect on treatment efficacy or its proposed mechanism. (LLM, conf=0.85)
Experimental — accuracy not yet measuredCancer cells compete with immune cells for glucose uptake (by SLC2A1/GLUT1), produce lactic acid (by LDHA), and generate an acidic extracellular milieu (through the activity of CA9), all of which are immunosuppressive.
“Cancer cells compete with immune cells for glucose uptake (by SLC2A1/GLUT1), produce lactic acid (by LDHA), and generate an acidic extracellular milieu (through the activity of CA9), all of which are immunosuppressive (77–86).”
From HIF inhibitor 32-134D eradicates murine hepatocellular carcinoma in combination with anti-PD1 therapy (2022) · cites this paper as [83]
The Introduction (page not supplied) says tumor cells produce lactic acid, lowering tumor-environment pH; the Discussion reports that tumor-derived lactic acid suppresses T-cell function and that an LDH inhibitor prevents this effect. The paper does not establish competition with immune cells for glucose uptake via SLC2A1/GLUT1 or attribute extracellular acidification to CA9. (LLM, conf=0.88)
Experimental — accuracy not yet measuredAccumulation of lactate from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes.
“For example, accumulation of lactate derived from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes, whereas in the context of a highly glycolytic TME, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells [87, 88].”
From The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation (2025) · cites this paper as [87]
Experimental — accuracy not yet measuredHigher lactate concentrations create a microenvironment that favors immune tolerance, reducing activation of dendritic cells and T cells and impairing monocyte movement.
“Increased lactate levels promote the emergence of an immune-permissive microenvironment by attenuating dendritic and T cell activation and monocyte migration (Fischer et al., 2007; Goetze et al., 2011; Gottfried et al., 2006).”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Fischer et al., 2007
Tumor-derived lactate can suppress CTL function directly by blocking lactate export by T cells, thus disrupting their ability to maintain glycolysis.
“Tumor-derived lactate can also suppress CTL function directly by blocking lactate export by T cells, thus disrupting their ability to maintain glycolysis (121).”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [121]
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
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784 · see citing works
Cell and environment interactions in tumor microregions: the multicell spheroid model.
Sutherland, R. M. (1988) · Science · doi:10.1126/science.2451290 · Cited by 1,803 · see citing works
The proton-linked monocarboxylate transporter (MCT) family: structure, function and regulation
Halestrap, A. P., & Price, N. T. (1999) · Biochemical Journal · doi:10.1042/bj3430281 · Cited by 1,346 · see citing works
Talks, K. L., Turley, H., Gatter, K. C., Maxwell, P. H., Pugh, C. W., Ratcliffe, P. J., & Harris, A. L. (2000) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64554-3 · Cited by 1,312 · see citing works
Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
Lee, P. P., Yee, C., Savage, P. A., Fong, L. H., Brockstedt, D. G., Weber, J. S., Johnson, D. L., Swetter, S. M., Thompson, J. A., Greenberg, P. D., et al. (1999) · Nature Medicine · doi:10.1038/9525 · Cited by 1,117 · see citing works
The effects of extracellular pH on immune function
Lardner, A. (2001) · Journal of Leukocyte Biology · doi:10.1189/jlb.69.4.522 · Cited by 864 · see citing works
Lu, H., Forbes, R. A., & Verma, A. M. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m202487200 · Cited by 832 · see citing works
Walenta, S., Wetterling, M., Lehrke, M., Schwickert, G., Sundfør, K., Rofstad, E. K., & Mueller‐Klieser, W. (2000) · PubMed · Cited by 817 · see citing works
Transport of lactate and other monocarboxylates across mammalian plasma membranes
Poole, R. C., & Halestrap, A. P. (1993) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1993.264.4.c761 · Cited by 747 · see citing works
Tumor-derived lactic acid modulates dendritic cell activation and antigen expression
Gottfried, E., Kunz-Schughart, L. A., Ebner, S., Mueller-Klieser, W., Hoves, S., Andreesen, R., Mackensen, A., & Kreutz, M. (2006) · Blood · doi:10.1182/blood-2005-05-1795 · Cited by 729 · see citing works
Self-citationJiang, B., Agani, F. H., Passaniti, A., & Semenza, G. L. (1997) · PubMed · Cited by 532 · see citing works
Soga, T., Ueno, Y., Naraoka, H., Ohashi, Y., Tomita, M., & Nishioka, T. (2002) · Analytical Chemistry · doi:10.1021/ac020064n · Cited by 473 · see citing works
Activation of the HIF pathway in cancer
Maxwell, P. H. (2001) · Current Opinion in Genetics & Development · doi:10.1016/s0959-437x(00)00193-3 · Cited by 426 · see citing works
Regulation of T Lymphocyte Metabolism
Frauwirth, K. A., & Thompson, C. B. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.8.4661 · Cited by 371 · see citing works
Zippelius, A., Batard, P., Rubio‐Godoy, V., Bioley, G., Líénard, D., Lejeune, F. J., Rimoldi, D., Guillaume, P., Meidenbauer, N., Mackensen, A., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-03-3066 · Cited by 361 · see citing works
Self-citationGlucose Availability Regulates IFN-γ Production and p70S6 Kinase Activation in CD8+ Effector T Cells
Cham, C. M., & Gajewski, T. F. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.8.4670 · Cited by 359 · see citing works
Nakagomi, H., Petersson, M., Magnusson, I., Juhlin, C., Matsuda, M., Mellstedt, H., Taupin, J., Vivier, É., Anderson, P., & Kiessling, R. W. (1993) · PubMed · Cited by 339 · see citing works
Lee, K.-H., Wang, E., Nielsen, M.-B., Wunderlich, J. R., Migueles, S. A., Connors, M., Steinberg, S. M., Rosenberg, S. A., & Marincola, F. M. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.163.11.6292 · Cited by 285 · see citing works
Monocarboxylate transporter MCT1 is a target for immunosuppression
Murray, C. M., Hutchinson, R., Bantick, J. R., Belfield, G., Benjamin, A., Brazma, D., Bundick, R. V., Cook, I. D., Craggs, R. I., Edwards, S., et al. (2005) · Nature Chemical Biology · doi:10.1038/nchembio744 · Cited by 253 · see citing works
Correlation of high lactate levels in head and neck tumors with incidence of metastasis.
Walenta, S., Salameh, A., Lyng, H., Evensen, J. F., Mitze, M., Rofstad, E. K., & Mueller‐Klieser, W. (1997) · Europe PMC (PubMed Central) · Cited by 251 · see citing works
Walenta, S., Schroeder, T. V., & Mueller‐Klieser, W. (2004) · Current Medicinal Chemistry · doi:10.2174/0929867043364711 · Cited by 246 · see citing works
Elson, D. A., Ryan, H. E., Snow, J. W., Johnson, R. S., & Arbeit, J. M. (2000) · PubMed · Cited by 232 · see citing works
Liquid-Overlay Culture of Cellular Spheroids
Carlsson, J., & Yuhas, J. M. (1984) · Recent results in cancer research/Recent Results in Cancer Research · doi:10.1007/978-3-642-82340-4_1 · Cited by 211 · see citing works
Seo, N., HAYAKAWA, S., Takigawa, M., & Tokura, Y. (2001) · Immunology · doi:10.1046/j.1365-2567.2001.01279.x · Cited by 205 · see citing works
Anichini, A., Molla, A., Mortarini, R., Tragni, G., Bersani, I., Nicola, M. D., Gianni, A. M., Pilotti, S., Dunbar, P. R., Cerundolo, V., et al. (1999) · The Journal of Experimental Medicine · doi:10.1084/jem.190.5.651 · Cited by 190 · see citing works
Direct evidence to support the immunosurveillance concept in a human regressive melanoma.
Mackensen, A., Carcelain, G., Viel, S., Raynal, M. C., Michalaki, H., Triebel, F., Bosq, J., & Hercend, T. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117116 · Cited by 165 · see citing works
Self-citationMeidenbauer, N., Marienhagen, J., Laumer, M., Vogl, S., Heymann, J., Andreesen, R., & Mackensen, A. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.4.2161 · Cited by 157 · see citing works
Self-citationEbert, B. L., Gleadle, J., O'ROURKE, J. F., Bartlett, S. M., Poulton, J., & Ratcliffe, P. J. (1996) · Biochemical Journal · doi:10.1042/bj3130809 · Cited by 150 · see citing works
Status of Activation of Circulating Vaccine-Elicited CD8+ T Cells
Nielsen, M.-B., Monsurrò, V., Migueles, S. A., Wang, E., Pérez‐Díez, A., Lee, K.-H., Kammula, U. S., Rosenberg, S. A., & Marincola, F. M. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.165.4.2287 · Cited by 113 · see citing works
The clinical value of lactate dehydrogenase in serum: a quantitative review.
Huijgen, H. J., Sanders, G. T., Koster, R. W., et al. (1997) · PubMed · Cited by 88 · see citing works
Hardenborg, E., Zuberovic, A., Ullsten, S., et al. (2003) · Journal of Chromatography A · doi:10.1016/s0021-9673(03)00739-8 · Cited by 81 · see citing works
An improved flow cytometric assay for the determination of cytotoxic T lymphocyte activity
Fischer, K., Andreesen, R., & Mackensen, A. (2002) · Journal of Immunological Methods · doi:10.1016/s0022-1759(01)00507-5 · Cited by 77 · see citing works
Self-citationInfluence of tumour physico-chemical conditions on interleukin-2-stimulated lymphocyte proliferation
Loeffler, D., Juneau, P., & Masserant, S. (1992) · British Journal of Cancer · doi:10.1038/bjc.1992.326 · Cited by 70 · see citing works
Regulation of glycolysis in the erythrocyte: role of the lactate/pyruvate and NAD/NADH ratios.
Tilton, W., Seaman, C., Carriero, D., & Piomelli, S. (1991) · PubMed · Cited by 65 · see citing works
Redegeld, F. A., Filippini, A., & Sitkovsky, M. V. (1991) · The Journal of Immunology · doi:10.4049/jimmunol.147.10.3638 · Cited by 63 · see citing works
Merezhinskaya, N., Ogunwuyi, S. A., Mullick, F. G., & Fishbein, W. N. (2004) · Journal of Histochemistry & Cytochemistry · doi:10.1369/jhc.4a6306.2004 · Cited by 60 · see citing works
pH-Dependent LAK Cell Cytotoxicity
Severin, T. M., ller, B. M. U., Giese, G., Uhl, B., Wolf, B. A., Hauschildt, S., & Kreutz, W. (1994) · Tumor Biology · doi:10.1159/000217905 · Cited by 50 · see citing works
The energy state of tumor-bearing rats.
Argilés, J. M. A., & López-Soriano, F. J. (1991) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)49943-7 · Cited by 39 · see citing works
Heming, T. A., TUAZON, D. M., DAVÉ, S. K., et al. (2001) · Clinical Science · doi:10.1042/cs20000192 · Cited by 34 · see citing works
Dürig, J., Fiedler, W., de Wit, M., et al. (1996) · Annals of Hematology · doi:10.1007/bf00641317 · Cited by 31 · see citing works
[On the facultative anaerobiosis of cancer cells and its use in chemotherapy].
Warburg, O. H. (1961) · PubMed · Cited by 29 · see citing works
Sommer, F. O., Bischof, S., Röllinghoff, M., et al. (1994) · The Journal of Immunology · doi:10.4049/jimmunol.153.8.3523 · Cited by 27 · see citing works
Heming, T. A., TUAZON, D. M., DAVÉ, S. K., et al. (2001) · Clinical Science · doi:10.1042/cs1000259 · Cited by 22 · see citing works
Regulation of cytotoxic T-lymphocyte activation by l-lactate and pyruvate
Mihm, S., & Dröge, W. (1985) · Cellular Immunology · doi:10.1016/0008-8749(85)90355-7 · Cited by 17 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [7]7. Talks KL, Turley H, Gatter KC, et al. The expres- sion and distribution of the hypoxia-inducible fac- tors HIF-1alpha and HIF-2alpha in normal human tissues, cancers, and tumor-associated macro- phages. Am J Pathol. 2000;157:411-421.
Cited by
Sorted by citations
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926 · see citing works
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331 · see citing works
Extrapulmonary manifestations of COVID-19
Gupta, A., Madhavan, M. V., Sehgal, K., Nair, N., Mahajan, S., Sehrawat, T. S., Bikdeli, B., Ahluwalia, N., Ausiello, J. C., Wan, E. Y., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0968-3 · Cited by 3,185 · see citing works
Aerobic glycolysis: Meeting the metabolic requirements of cell proliferation
Lunt, S. Y., & Vander Heiden, M. G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154237 · Cited by 3,057 · 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
Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions
Chen, Z., Han, F., Du, Y., Shi, H., & Zhou, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01332-8 · Cited by 1,612 · see citing works
The Science and Translation of Lactate Shuttle Theory
Brooks, G. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.008 · Cited by 1,486 · 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
Fueling 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
Lactate in the brain: from metabolic end-product to signalling molecule
Magistretti, P. J., & Allaman, I. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.19 · Cited by 1,298 · see citing works
Regulation of glycolysis by the hypoxia-inducible factor (HIF): Implications for cellular physiology
Kierans, S. J., & Taylor, C. T. (2021) · The Journal of Physiology · doi:10.1113/jp280572 · Cited by 1,015 · see citing works
Lactate in the Regulation of Tumor Microenvironment and Therapeutic Approaches
de la Cruz-López, K. G., Castro-Muñoz, L. J., Reyes-Hernández, D. O., García-Carrancá, A., & Manzo-Merino, J. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01143 · Cited by 940 · see citing works
Lactate modulation of immune responses in inflammatory versus tumour microenvironments
Certo, M., Tsai, C.-H., Pucino, V., Ho, P.-C., & Mauro, C. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-0406-2 · Cited by 924 · see citing works
Natural killer cells in cancer biology and therapy
Wu, S.-Y., Fu, T., Jiang, Y.-Z., & Shao, Z.-M. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01238-x · Cited by 863 · see citing works
CAR T Cell Therapy for Solid Tumors
Newick, K., O'Brien, S., Moon, E., & Albelda, S. M. (2017) · Annual Review of Medicine · doi:10.1146/annurev-med-062315-120245 · Cited by 909 · see citing works
Metabolism 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
In Vitro Tumor Models: Advantages, Disadvantages, Variables, and Selecting the Right Platform
Katt, M. E., Placone, A. L., Wong, A. D., Xu, Z. S., & Searson, P. C. (2016) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2016.00012 · Cited by 754 · see citing works
Blank, C. U., Haanen, J. B., Ribas, A., & Schumacher, T. N. (2016) · Science · doi:10.1126/science.aaf2834 · Cited by 748 · see citing works
Metabolites 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
Calcinotto, A., Filipazzi, P., Grioni, M., Iero, M., De Milito, A., Ricupito, A., Cova, A., Canese, R., Jachetti, E., Rossetti, M., et al. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-1272 · Cited by 640 · 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
Molecular mechanisms linking exercise to cancer prevention and treatment
Hojman, P., Gehl, J., Christensen, J. F., & Pedersen, B. K. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.015 · Cited by 600 · see citing works
Xie, H., Hanai, J.-I., Ren, J.-G., Kats, L., Burgess, K., Bhargava, P., Signoretti, S., Billiard, J., Duffy, K. J., Grant, A., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.03.003 · Cited by 516 · see citing works
Cancer metabolism: current perspectives and future directions
Muñoz-Pinedo, C., El Mjiyad, N., & Ricci, J.-E. (2012) · Cell Death & Disease · doi:10.1038/cddis.2011.123 · Cited by 385 · see citing works
Mechanisms regulating T-cell infiltration and activity in solid tumors
Lanitis, E., Dangaj, D., Irving, M., & Coukos, G. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx238 · Cited by 369 · see citing works
Role of monocarboxylate transporters in human cancers: state of the art
Pinheiro, C., Longatto-Filho, A., Azevedo-Silva, J., Casal, M., Schmitt, F. C., & Baltazar, F. (2012) · Journal of Bioenergetics and Biomembranes · doi:10.1007/s10863-012-9428-1 · Cited by 368 · see citing works
Tumour burden and efficacy of immune-checkpoint inhibitors
Dall’Olio, F. G., Marabelle, A., Caramella, C., Garcia, C., Aldea, M., Chaput, N., Robert, C., & Besse, B. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00564-3 · Cited by 350 · see citing works
Role of the tumor microenvironment in tumor progression and the clinical applications (Review)
YUAN, Y., JIANG, Y.-C., SUN, C.-K., & CHEN, Q.-M. (2016) · Oncology Reports · doi:10.3892/or.2016.4660 · Cited by 320 · see citing works
Tumor microenvironment signaling and therapeutics in cancer progression
Goenka, A., Khan, F., Verma, B., Sinha, P., Dmello, C. C., Jogalekar, M. P., Gangadaran, P., & Ahn, B. (2023) · Cancer Communications · doi:10.1002/cac2.12416 · Cited by 323 · see citing works
Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M. (2020) · Physiological Reviews · doi:10.1152/physrev.00018.2019 · Cited by 310 · see citing works
Hypoxia, cancer metabolism and the therapeutic benefit of targeting lactate/H(+) symporters
Marchiq, I., & Pouysségur, J. (2016) · Journal of Molecular Medicine · doi:10.1007/s00109-015-1307-x · Cited by 300 · see citing works
Relating the gut metagenome and metatranscriptome to immunotherapy responses in melanoma patients
Peters, B. A., Wilson, M., Moran, U., Pavlick, A., Izsak, A., Wechter, T., Weber, J. S., Osman, I., & Ahn, J. (2019) · Genome Medicine · doi:10.1186/s13073-019-0672-4 · Cited by 263 · see citing works
The Influence of Metabolism on Drug Response in Cancer
Zaal, E. A., & Berkers, C. R. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00500 · Cited by 272 · see citing works
Metabolic reprogramming in the tumor microenvironment of liver cancer
Lin, J., Rao, D., Zhang, M., & Gao, Q. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01527-8 · Cited by 251 · see citing works
“Oncometabolites, such as lactic acid [102–114], kynurenine [115–117], adenosine [117], 2-HG [118, 119], and prostaglandin E2 (PGE2) [120], typically antagonize the anti-tumor immune response and/or promote the immunosuppressive activities of TME components, ultimately leading to immune evasion.”
BackgroundMcNamee, E. N., Korns Johnson, D., Homann, D., & Clambey, E. T. (2013) · Immunologic Research · doi:10.1007/s12026-012-8349-8 · Cited by 234 · see citing works
Rattigan, Y. I., Patel, B. B., Ackerstaff, E., Sukenick, G., Koutcher, J. A., Glod, J. W., & Banerjee, D. (2012) · Experimental Cell Research · doi:10.1016/j.yexcr.2011.11.014 · Cited by 196 · see citing works
Metabolic Barriers to T Cell Function in Tumors
Sugiura, A., & Rathmell, J. C. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1701041 · Cited by 208 · see citing works
Metabolic adaptation of cancer and immune cells mediated by hypoxia-inducible factors
Samanta, D., & Semenza, G. L. (2018) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2018.07.002 · Cited by 190 · see citing works
Glycolysis: A multifaceted metabolic pathway and signaling hub
Kierans, S. J., & Taylor, C. T. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107906 · Cited by 198 · see citing works
Autophagy Is a Protective Mechanism for Human Melanoma Cells under Acidic Stress
Marino, M. L., Pellegrini, P., Di Lernia, G., Djavaheri-Mergny, M., Brnjic, S., Zhang, X., Hägg, M., Linder, S., Fais, S., Codogno, P., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.339127 · Cited by 184 · see citing works
Bianchi, G., Martella, R., Ravera, S., Marini, C., Capitanio, S., Orengo, A., Emionite, L., Lavarello, C., Amaro, A., Petretto, A., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3688 · Cited by 173 · see citing works
Rajeshkumar, N. V., Dutta, P., Yabuuchi, S., de Wilde, R. F., Martinez, G. V., Le, A., Kamphorst, J. J., Rabinowitz, J. D., Jain, S. K., Hidalgo, M., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-15-0108 · Cited by 158 · see citing works
Carbon source availability drives nutrient utilization in CD8+ T cells
Kaymak, I., Luda, K. M., Duimstra, L. R., Ma, E. H., Longo, J., Dahabieh, M. S., Faubert, B., Oswald, B. M., Watson, M. J., Kitchen-Goosen, S. M., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.012 · Cited by 160 · see citing works
Understanding the mechanisms of resistance to CAR T-cell therapy in malignancies.
Cheng, J., Zhao, L., Zhang, Y., Qin, Y., Guan, Y., Zhang, T., Liu, C., & Zhou, J. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01237 · Cited by 153 · see citing works
Plitas, G., & Rudensky, A. Y. (2020) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-030419-033428 · Cited by 148 · see citing works
Targeting glucose metabolism enzymes in cancer treatment: current and emerging strategies
Zhang, Y., Li, Q., Huang, Z., Li, B., Nice, E. C., Huang, C., Wei, L., & Zou, B. (2022) · Cancers · doi:10.3390/cancers14194568 · Cited by 144 · see citing works
New dimensions in tumor immunology: what does 3D culture reveal?
Feder-Mengus, C., Ghosh, S., Reschner, A., Martin, I., & Spagnoli, G. C. (2008) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2008.06.001 · Cited by 139 · see citing works
Targeting T cell metabolism in the tumor microenvironment: an anti‐cancer therapeutic strategy
Yin, Z., Bai, L., Li, W., Zeng, T., Tian, H., & Cui, J. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1409-3 · Cited by 133 · see citing works
Hypoxia Dictates Metabolic Rewiring of Tumors: Implications for Chemoresistance
Belisario, D. C., Kopecka, J., Pasino, M., Akman, M., De Smaele, E., Donadelli, M., & Riganti, C. (2020) · Cells · doi:10.3390/cells9122598 · Cited by 133 · see citing works
Metabolic communication in tumors: a new layer of immunoregulation for immune evasion
Ho, P.-C., & Liu, P.-S. (2016) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-016-0109-1 · Cited by 124 · see citing works
Policastro, L. L., Ibañez, I. L., Notcovich, C., Duran, H. A., & Podhajcer, O. L. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4367 · Cited by 120 · see citing works
Kitamura, F., Semba, T., Yasuda-Yoshihara, N., Yamada, K., Nishimura, A., Yamasaki, J., Nagano, O., Yasuda, T., Yonemura, A., Tong, Y., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.163022 · Cited by 121 · see citing works
“Moreover, lactate produced by tumor cells directly inhibits the antitumor activity of T cells by blocking lactate efflux and disrupting metabolism (11) and suppresses T cell infiltration into tumors (31).”
BackgroundAllison, K. E., Coomber, B. L., & Bridle, B. W. (2017) · Immunology · doi:10.1111/imm.12777 · Cited by 109 · see citing works
The looming storm: Blood and cytokines in COVID-19
Kaur, S., Bansal, R., Kollimuttathuillam, S., Gowda, A. M., Singh, B., Mehta, D., & Maroules, M. (2021) · Blood Reviews · doi:10.1016/j.blre.2020.100743 · Cited by 113 · see citing works
Salman, S., Meyers, D. J., Wicks, E. E., Lee, S. N., Datan, E., Thomas, A. M., Anders, N. M., Hwang, Y., Lyu, Y., Yang, Y., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci156774 · Cited by 111 · see citing works
The Metabolic Microenvironment Steers Bone Tissue Regeneration
Loeffler, J., Duda, G. N., Sass, F. A., & Dienelt, A. (2018) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2017.11.008 · Cited by 113 · see citing works
Cancer-associated adipocytes as immunomodulators in cancer
Wu, Q., Li, B., Li, J., Sun, S., Yuan, J., & Sun, S. (2021) · Biomarker Research · doi:10.1186/s40364-020-00257-6 · Cited by 105 · see citing works
Hypoxia-inducible factor in cancer: from pathway regulation to therapeutic opportunity
Ortmann, B. M. (2024) · BMJ Oncology · doi:10.1136/bmjonc-2023-000154 · Cited by 67 · see citing works
Targeting MYC-enhanced glycolysis for the treatment of small cell lung cancer
Cargill, K. R., Stewart, C. A., Park, E. M., Ramkumar, K., Gay, C. M., Cardnell, R. J., Wang, Q., Diao, L., Shen, L., Fan, Y.-H., et al. (2021) · Cancer & Metabolism · doi:10.1186/s40170-021-00270-9 · Cited by 62 · see citing works
Immunotherapies for pediatric cancer: current landscape and future perspectives
Hutzen, B., Paudel, S. N., Naeimi Kararoudi, M., Cassady, K. A., Lee, D. A., & Cripe, T. P. (2019) · Cancer and Metastasis Reviews · doi:10.1007/s10555-019-09819-z · Cited by 44 · see citing works
Metabolic reprogramming: a bridge between aging and tumorigenesis
Drapela, S., Ilter, D., & Gomes, A. P. (2022) · Molecular Oncology · doi:10.1002/1878-0261.13261 · Cited by 41 · see citing works
The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation
Acuña-Pilarte, K., & Koh, M. Y. (2025) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2025.06.005 · Cited by 41 · see citing works
Zhang, Y., Liu, W., Feng, W., Wang, X., Lei, T., Chen, Z., & Song, W. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.816249 · Cited by 13 · see citing works
Hypoxic microenvironment in cancer: role in metabolic reprogramming
Sureka, N., Maheshwari, R., Agravat, A., Singhal, S., Zaman, S., Rishi, B., Siraj, F., Zaheer, S., & Misra, A. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1771365 · Cited by 11 · see citing works
- Authors
- Fischer, K., Hoffmann, P., Voelkl, S., Meidenbauer, N., Ammer, J., Edinger, M., Gottfried, E., Schwarz, S., Rothe, G., Hoves, S., Renner, K., Timischl, B., Mackensen, A., Kunz-Schughart, L., Andreesen, R., Krause, S. W., & Kreutz, M.
- Affiliations
- Department of Hematology and Oncology
- Laboratory Center Bremen, Bremen, Germany
- Institut de Génomique Fonctionnelle (FR)
- Institute of Pathology, University of Regensburg, Regensburg, Germany;
- ORCID
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2007-01-25
- Volume
- 109
- Issue
- 9
- Pages
- 3812-3819
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2060878129
- Cited by
- 1,946
- References
- 44
- Citations by year
- 2026: 172 · 2025: 167 · 2024: 166 · 2023: 188 · 2022: 207 · 2021: 227 · 2020: 165 · 2019: 124 · 2018: 95 · 2017: 99 · 2016: 80 · 2015: 52 · 2014: 47 · 2013: 42 · 2012: 32
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Blood (publishedVersion)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- lactic acid, tumor microenvironment, cytotoxic T lymphocytes, MCT1, tumor immunogenicity, tumor burden, cytokine production, T cell proliferation, tumor spheroids, cancer immunotherapy
- MeSH terms
- Biological Transport, Dose-Response Relationship, Drug, Female, Glycolysis, Humans, Lymphocyte Activation, Male, Neoplasms, T-Lymphocytes, Tumor Cells, Cultured, Oncogene Proteins, Cell Cycle Proteins, Spheroids, Cellular, Lactic Acid, Cell Proliferation
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