The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Slow TCA flux and ATP production in primary solid tumours but not metastases
Open accessAbstract
Tissues derive ATP from two pathways-glycolysis and the tricarboxylic acid (TCA) cycle coupled to the electron transport chain. Most energy in mammals is produced via TCA metabolism 1. In tumours, however, the absolute rates of these pathways remain unclear. Here we optimize tracer infusion approaches to measure the rates of glycolysis and the TCA cycle in healthy mouse tissues, Kras-mutant solid tumours, metastases and leukaemia. Then, given the rates of these two pathways, we calculate total ATP synthesis rates. We find that TCA cycle flux is suppressed in all five primary solid tumour models examined and is increased in lung metastases of breast cancer relative to primary orthotopic tumours. As expected, glycolysis flux is increased in tumours compared with healthy tissues (the Warburg effect 2,3), but this increase is insufficient to compensate for low TCA flux in terms of ATP production. Thus, instead of being hypermetabolic, as commonly assumed, solid tumours generally produce ATP at a slower than normal rate. In mouse pancreatic cancer, this is accommodated by the downregulation of protein synthesis, one of this tissue's major energy costs. We propose that, as solid tumours develop, cancer cells shed energetically expensive tissue-specific functions, enabling uncontrolled growth despite a limited ability to produce ATP.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Intriguingly, a recent study determined that “bulk” fermentative and respiratory rates in primary tumors are lower than previously postulated,4”
From Dynamic IL-6R/STAT3 signaling leads to heterogeneity of metabolic phenotype in pancreatic ductal adenocarcinoma cells (2024) · cites this paper as [4]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
A method for the solution of certain non-linear problems in least squares
Levenberg, K. (1944) · Quarterly of Applied Mathematics · doi:10.1090/qam/10666 · Cited by 12,753
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814
Sokoloff, L., Reivich, M., Kennedy, C., Rosiers, M. H. D., Patlak, C. S., Pettigrew, K. D., Sakurada, O., & Shinohara, M. (1977) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1977.tb10649.x · Cited by 6,000
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
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
A cell initiating human acute myeloid leukaemia after transplantation into SCID mice
Lapidot, T., Sirard, C., Vormoor, J., Murdoch, B., Hoang, T., Caceres-Cortes, J., Minden, M., Paterson, B., Caligiuri, M. A., & Dick, J. E. (1994) · Nature · doi:10.1038/367645a0 · Cited by 4,783
Rappsilber, J., Mann, M., & Ishihama, Y. (2007) · Nature Protocols · doi:10.1038/nprot.2007.261 · Cited by 4,641
Research works printed but not linked: 1
- Frayn, K. N. & Evans, R. Human Metabolism: A Regulatory Perspective (John Wiley & Sons, 2019).
Cited by
Sorted by citations
Items 101–200 of 300
What’s on the menu?: metabolic constraints in the pancreatic tumor microenvironment
Sheehan, C. S., & Muir, A. (2025) · Journal of Clinical Investigation · doi:10.1172/jci191940 · Cited by 19
The Warburg effect drives dedifferentiation through epigenetic reprogramming
Jiang, H., Jedoui, M., & Ye, J. (2024) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2023.0467 · Cited by 17
Zeng, Y., Wu, R., He, Y., Zhang, Q., Wang, Z., Qin, P., Yang, F., Han, Y., Hao, M., Zheng, Y., et al. (2025) · Cell Host & Microbe · doi:10.1016/j.chom.2025.04.011 · Cited by 19
Self-citationATP ion channel P2X7 receptor as a regulatory molecule in the progression of colorectal cancer
Zuo, C., Xu, Y., He, P., & Zhang, W. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115877 · Cited by 16
Hallmarks of the metabolic secretome
Reghupaty, S. C., Dall, N. R., & Svensson, K. J. (2023) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.09.006 · Cited by 17
The bioenergetic landscape of cancer
Zunica, E. R. M., Axelrod, C. L., Gilmore, L. A., Gnaiger, E., & Kirwan, J. P. (2024) · Molecular Metabolism · doi:10.1016/j.molmet.2024.101966 · Cited by 16
Bo, J., Mao, S., Yang, J., Wang, L., Zheng, J., Zhang, C., Song, M., Chen, S., & Liu, C. (2024) · Phytomedicine · doi:10.1016/j.phymed.2024.155804 · Cited by 15
Self-citationLin, T.-Y., Gu, S., Lin, Y.-H., Shih, J., Lin, J.-H., Chou, T., Lee, Y., Chang, S., & Lang, Y. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117452 · Cited by 15
Chen, Y., Song, Y., Yang, Z., Ru, Y., Xie, P., Han, J., Chai, X., Wang, J., & Cai, Z. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c04600 · Cited by 15
Li, Q., Wang, L., Xie, W., Tan, Q., Zhou, S., Pei, H., Zhang, H., Li, J., Qu, F., & Tan, W. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202505223 · Cited by 15
Self-citationZhang, Y., Li, W., Niu, J., Fan, Z., Li, X., & Zhang, H. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1586959 · Cited by 15
The return of metabolism: biochemistry and physiology of glycolysis
Grüning, N., Agostini, F., Caldana, C., Hartl, J., Heinemann, M., Keller, M. A., Krüsemann, J. L., Lamperti, C., Linster, C. L., Lindner, S. N., et al. (2025) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.70104 · Cited by 18
Shan, Z., & Liu, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1628937 · Cited by 17
Visualization of Phototherapy Evolution by Optical Imaging
Li, Z.-H., Li, Z., & Wang, J. (2023) · Molecules · doi:10.3390/molecules28103992 · Cited by 14
Tanaka, I., Koyama, J., Itoigawa, H., Hayai, S., & Morise, M. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1249237 · Cited by 13
Luo, Z., Huang, X., Xu, X., Wei, K., Zheng, Y., Gong, K., & Li, W. (2024) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2023.0382 · Cited by 12
Hou, X. L., Zhang, B., Cheng, K., Zhang, F., Xie, X., Chen, W., Tan, L., Fan, J., Liu, B., & Xu, Q. (2024) · Advanced Science · doi:10.1002/advs.202308349 · Cited by 12
Presenting metabolomics analyses: what’s in a number?
Meiser, J., & Frezza, C. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00098-1 · Cited by 12
The Warburg Effect Revisited through Blood and Electron Flow
Wang, Y. A., & Dang, C. V. (2024) · Cancer Research · doi:10.1158/0008-5472.can-24-0474 · Cited by 12
Unleashing metabolic power for axonal regeneration
Yang, X.-Y., & Zhou, B. (2024) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2024.07.001 · Cited by 12
Ketogenic diet and cancer: multidimensional exploration and research
Wan, S., Zhou, X., Xie, F., Zhou, F., & Zhang, L. (2025) · Science China Life Sciences · doi:10.1007/s11427-023-2637-2 · Cited by 13
Respiration defects limit serine synthesis required for lung cancer growth and survival
Lopes, E. C., Shi, F., Sawant, A., Ibrahim, M., Gomez-Jenkins, M., Hu, Z., Manchiraju, P., Bhatt, V. D., Wang, W., Hinrichs, C. S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62911-7 · Cited by 16
Self-citationOttestad, A. L., Johansen, H., Halvorsen, T. O., Dai, H. Y., Wahl, S. G. F., Emdal, E. F., & Grønberg, B. H. (2023) · BMC Cancer · doi:10.1186/s12885-023-11147-z · Cited by 12
Pan-cancer analysis of SLC2A family genes as prognostic biomarkers and therapeutic targets
Liu, Y., Li, X., Yang, J., Chen, S., Zhu, C., Shi, Y., Dang, S., Zhang, W., & Li, W. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29655 · Cited by 11
MCT1-dependent mitochondrial lactate import sustains cardiac metabolism
Cluntun, A. A., Visker, J. R., Velasco‐Silva, J. N., Carrington, J., Cedeño-Rosario, L., Napoli, G. C., Kim, J. E., Shankar, T. S., Lang, M. J., Hamouche, R., et al. (2026) · Nature · doi:10.1101/2024.10.07.617073 · Cited by 12
Ji, Y., Zhang, Z., Zhao, X. O., Li, Z., Hu, X., Zhang, M., Pan, X., Wang, X., & Chen, W. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216833 · Cited by 11
Khalaf, A., de Beauchamp, L., Kalkman, E. R., Rattigan, K. M., Himonas, E., Jones, J., James, D. T., Shokry, E., Scott, M. T., Dunn, K. M., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adi5336 · Cited by 12
Sensitive aptasensing of ATP based on a PAM site-regulated CRISPR/Cas12a activation
Liang, P., Lv, B., Chen, K., & Li, D. (2024) · Microchimica Acta · doi:10.1007/s00604-024-06477-z · Cited by 10
Replenishment of TCA cycle intermediates and long-noncoding RNAs regulation in breast cancer
Zheng, X., Zhang, S., Ma, H., Dong, Y., Zheng, J., Zeng, L., Liu, J., Dai, Y., & Yin, Q. (2024) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2024.112321 · Cited by 10
Adapt and shape: metabolic features within the metastatic niche
Pranzini, E., Ippolito, L., Pardella, E., Giannoni, E., & Chiarugi, P. (2024) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2024.07.016 · Cited by 10
Intranuclear TCA and mitochondrial overload: The nascent sprout of tumors metabolism
Yuan, W., Lu, G., Zhao, Y., He, X., Liao, S., Wang, Z., Lei, X., Xie, Z., Yang, X., Tang, S., et al. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217527 · Cited by 13
Cao, L., Sun, W., Chen, X., Liu, L., Zhao, S., Liu, J., Ou, Y., Guo, M., Qi, C., Li, Z., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61088-3 · Cited by 10
Self-citationPeptide Drug: Design and Clinical Applications
Han, Y., Zhang, Y., Han, L., Ma, Z., & Wang, Y. (2025) · MedComm · doi:10.1002/mco2.70287 · Cited by 11
Self-citationRen, Z., Dharmaratne, M., Liang, H., Benard, O., Morales-Gallego, M., Suyama, K., Kumar, V., Fard, A. T., Kulkarni, A. S., Prystowsky, M. B., et al. (2024) · British Journal of Cancer · doi:10.1038/s41416-023-02522-5 · Cited by 14
Blaszczak, W., White, B., Monterisi, S., & Swietach, P. (2024) · Cell Reports · doi:10.1016/j.celrep.2023.113612 · Cited by 9
Annotation of Metabolites in Stable Isotope Tracing Untargeted Metabolomics via Khipu-web
Mitchell, J. M., Chi, Y., Zheng, S., Thapa, M., Wang, E., & Li, S. (2024) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.4c00175 · Cited by 9
Zhang, S., Hu, H., Li, X., Chen, Q., Zheng, Y., Peng, H., Mo, Z., Hu, W., Li, Y., Hong, S., et al. (2025) · International Journal of Biological Sciences · doi:10.7150/ijbs.108151 · Cited by 9
Chi, X., Song, Y., Sisi, W., Wang, G., Yang, W. K., Zhang, Z., Zhang, C., Zhang, H., Hu, Z., Yu, H., et al. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.156924 · Cited by 10
Self-citationTumor metabolome remolded by low dose mitochondrial uncoupler elicites robust CD8+ T cell response
Jiang, X., Fan, Z., Zhang, Z., Zeng, F., Sun, T. S., Li, Y., Huang, G., & Nie, L. (2025) · Cell Death Discovery · doi:10.1038/s41420-025-02584-9 · Cited by 9
Mitochondrial homeostasis in cancer: Functions and targeted therapies
Wei, L., Hong, B., Zhang, X., Cao, R., Huang, L., Xu, C., Wang, L., & Chen, T. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104899 · Cited by 9
Self-citationLi, C., Cheng, K., Zhao, Q., Li, J., Wang, X., Liufu, T., Zhao, X., Li, X., Wang, X. D., Lyu, J., et al. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c03277 · Cited by 9
Recreating metabolic interactions of the tumour microenvironment
Curvello, R., Berndt, N., Hauser, S., & Loessner, D. (2024) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.12.005 · Cited by 9
Cancer Metabolism under Limiting Oxygen ConditionsPreprint
Kim, L. C., Lesner, N. P., & Simon, M. C. (2023) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041542 · Cited by 11
USP22 Promotes Osteosarcoma Progression by Stabilising β‐Catenin and Upregulating HK2 and Glycolysis
Chen, S., Hu, X., Yi, X., Deng, X., Xiong, T., Ou, Y., Liu, S., Li, C., Yan, X., & Hao, L. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.70239 · Cited by 8
Large-Scale Metabolite Imaging Gallery of Mouse Organ Tissues to Study Spatial Metabolism
Smith, K. W., Fecke, A., Kasarla, S. S., & Phapale, P. B. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00594 · Cited by 8
Overflow metabolism originates from growth optimization and cell heterogeneity
Wang, X. (2024) · eLife · doi:10.7554/elife.94586.4 · Cited by 10
Chen, R., Dakhili, S. A. T., Gerulskis, R., Zhao, Y., Lockhart, S., Tonoyan, L., Siraki, A. G., Huang, G., Kinnaird, A. S., Freed, D. H., et al. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110555 · Cited by 8
Zhang, Y., Dong, Y., Chen, S., Li, M., Liu, X., Hou, J., & Zhou, S. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202511993 · Cited by 8
White, B., & Swietach, P. (2023) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-023-02876-y · Cited by 8
Approaches to investigate tissue-resident innate lymphocytes metabolism at the single-cell level
Corkish, C., de Aguiar, C. F., & Finlay, D. K. (2024) · Nature Communications · doi:10.1038/s41467-024-54516-3 · Cited by 8
Research Progress on the Use of Metformin in Leukemia Treatment
Wang, Q., & Wei, X. (2024) · Current Treatment Options in Oncology · doi:10.1007/s11864-024-01179-3 · Cited by 12
Mishra, S. K., Li, B., Costa, A. S. H., Aelst, L. V., & Zhang, L. (2025) · Genes & Development · doi:10.1101/gad.352770.125 · Cited by 10
Fan, M., Hu, J., Xu, X., Chen, J., Zhang, W., Zheng, X., Pan, J., Xu, W., & Feng, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38182 · Cited by 7
Peri-mitochondrial actin filaments inhibit Parkin assembly by disrupting ER-mitochondria contacts
Fung, T. S., Ghosh, A., Zavala, M., Nichtová, Z., Shukal, D. K., Tigano, M., Csordás, G., Higgs, H. N., & Chakrabarti, R. (2025) · EMBO Reports · doi:10.1038/s44319-025-00561-y · Cited by 9
Jiang, H., Tiche, S. J., He, C. J., Liu, J., Bian, F., Jedoui, M., Forgo, B. L., Islam, M. T., Zhao, M., Emengo, P. O., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2502483122 · Cited by 10
Self-citationRojas, M., Manzi, M., Madurga, S., Velásquez, F. E. G., Romero, M. A., Marín, S., Cascante, M., & Maurel, J. (2025) · Exploration of Targeted Anti-tumor Therapy · doi:10.37349/etat.2025.1002337 · Cited by 7
Oxidative stress in metastatic progression
Ueda, Y., Kiyonaka, S., Mori, Y., & Takahashi, N. (2025) · Trends in Cell Biology · doi:10.1016/j.tcb.2025.11.004 · Cited by 7
Lactylation and acetylation: parallel paths, divergent deeds, and research dilemmas
Jiang, W., Chen, Y., Lin, S., Liu, Y., & Liao, X. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-07877-w · Cited by 8
p53 increases phospholipid headgroup scavenging in senescence
Yashinskie, J. J., Zhu, X., McGregor, G. H., Wessendorf-Rodriguez, K. A., Paras, K. I., Brunner, J. S., Jackson, B. T., Xie, A., Koche, R. P., Metallo, C. M., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-025-01853-0 · Cited by 7
Lactate activates the mitochondrial electron transport chain independent of its metabolismPreprint
Cai, X., Ng, C., Jones, O., Fung, T. S., Ryu, K., Li, D., & Thompson, C. B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.02.551712 · Cited by 7
Reprogrammed mitochondria: a central hub of cancer cell metabolism
Ciccarone, F., & Ciriolo, M. R. (2024) · Biochemical Society Transactions · doi:10.1042/bst20231090 · Cited by 8
Jaxkineticmodel: Neural ordinary differential equations inspired parameterization of kinetic models
van Lent, P., Bunkova, O., Magyar, B., Planken, L., Schmitz, J. P. J., & Abeel, T. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012733 · Cited by 6
Zhang, X., Zheng, G., Zhou, Z., Zhu, M., & Tang, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37517 · Cited by 8
Saoud, M., Grau, J., Rennert, R. C., Mueller, T., Yousefi, M., Davari, M. D., Hause, B., Csük, R., Rashan, L. J., Große, I., et al. (2024) · Advanced Science · doi:10.1002/advs.202404085 · Cited by 6
Peroxisome-inspired T4 phage hybrid enzyme nanoreactors for photodynamic therapy of breast cancer
Hou, X. L., Tan, L., Xie, X., Zhang, B., Wang, Q., Cheng, K., Fan, J., Liu, T., & Liu, B. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.159138 · Cited by 6
Wang, D., Zhou, J., Sun, X., & Niu, X. (2025) · Chemistry & Biodiversity · doi:10.1002/cbdv.202500942 · Cited by 7
Nitrogen isotopic composition as a gauge of tumor cell anabolism-to-catabolism ratio
Straub, M., Auderset, A., de Leval, L., Piazzon, N., Maison, D., Vozenin, M., Ollivier, J., Petit, B., Sigman, D. M., & Martínez‐García, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-45597-z · Cited by 6
Sun, Q., Bibi, S., Xue, Y., Du, ., Chew, B. P., & Zhu, M. J. (2024) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2024.109585 · Cited by 7
Balonov, I., Mattis, M., Jarmusch, S., Koletzko, B., Heinrich, K., Neumann, J. H. L., Werner, J., Angele, M. K., Heiliger, C., & Jacob, S. (2024) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-024-05857-5 · Cited by 6
Grubb, T. M., Koochaki, P., Matar, S., Ghandour, F., Machaalani, M., Saad, E., Tang, C., Reznik, E., Khatun, J., Salem, C., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-64983-x · Cited by 5
Strategies for uncovering stable isotope tracing patterns between cell populations
MacPherson, S., Duncan, K. D., Goodlett, D. R., & Lum, J. J. (2023) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2023.102991 · Cited by 5
Metastatic cells exploit their stoichiometric niche in the network of cancer ecosystems
Castillo, S. P., Rebolledo, R. A., Arim, M., Hochberg, M., & Marquet, P. A. (2023) · Science Advances · doi:10.1126/sciadv.adi7902 · Cited by 5
Systematic analysis of proteome turnover in an organoid model of pancreatic cancer by dSILO
Ross, A. B., Gorhe, D., Kim, J. K., Hodapp, S. J., DeVine, L., Chan, K. M., Chio, I. I. C., Jovanović, M., & Pereira, M. A. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100760 · Cited by 5
An ISR-independent role of GCN2 prevents excessive ribosome biogenesis and mRNA translation
Román-Trufero, M., Kleijn, I. T., Blighe, K., Zhou, J., Saavedra-García, P., Gaffar, A., Christoforou, M., Bellotti, A., Abrahams, J. M., Atrih, A., et al. (2025) · Life Science Alliance · doi:10.26508/lsa.202403014 · Cited by 9
Cytoplasmic Mg 2+ supersedes carbon source preference to dictate Salmonella metabolism
Pokorzynski, N. D., Jones, K. A., Campagna, S. R., & Groisman, E. A. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2424337122 · Cited by 5
Sun, Y., Han, B., Ge, J., Huo, Z., Li, J., Lin, B., Du, X., Zhang, Y., Weng, H., Yu, S., et al. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07856-x · Cited by 5
Cancer Metabolism Historical Perspectives: A Chronicle of Controversies and ConsensusPreprint
Dang, C. V. (2023) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041530 · Cited by 5
Applications of stable isotopes in lipid metabolic tracing and lipidomics analysis
Xie, Z., Cheng, S., Gong, X., & Ma, X. (2025) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2025.118629 · Cited by 4
Immunobiology and Metabolic Pathways of Renal Cell Carcinoma
Braun, D. A., & Chakraborty, A. A. (2023) · Hematology/Oncology Clinics of North America · doi:10.1016/j.hoc.2023.04.012 · Cited by 4
Wei, C., Mao, A., Liu, Y., Zhang, Q., Pan, G., Liu, W., & Liu, J. (2023) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-023-04679-4 · Cited by 4
Zhou, J., Pan, S., Chen, J., Yi, H., Li, Y., Qing, Y., Xiong, E., & Zou, Z. (2025) · Journal of Materials Chemistry B · doi:10.1039/d4tb02856b · Cited by 4
Xiao, R., Hong, L., Zhang, Y., Chen, W., Zhang, J., Zhang, J., Zhang, S., Jiang, Q., Wei, C., Cheng, Z., et al. (2026) · ACS Nano · doi:10.1021/acsnano.5c19419 · Cited by 4
Yin, J., Huang, D., Li, H., Hu, Y., Yang, Y., Zhou, D., Long, S., Sun, W. C., Du, J., Fan, J., et al. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6c00424 · Cited by 4
Fu, Y., Sun, J., Yang, C., Li, W., & Wang, Y. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.141581 · Cited by 5
Nawrocki, S. T., Espitia, C. M., Espinoza, M. J. C., Jones, T. M., Gamble, M. E., Sureshkumar, S., Chang, M., Wang, W., & Carew, J. S. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1662 · Cited by 4
Metabolic permissiveness: how tissue context shapes cancerPreprint
Moschandrea, C., & Frezza, C. (2026) · Genes & Development · doi:10.1101/gad.353516.125 · Cited by 4
Dankó, B., Heß, J., Unger, K., Samaga, D., Walz, C., Walch, A. K., Sun, N., Baumeister, P., Zeng, P. Y., Walter, F., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00602-0 · Cited by 3
A Citrate Synthase Splice Variant Rewires the TCA Cycle to Promote Colorectal Cancer Progression
Cheung, J. C. T., Ng, L. W., Zhu, Z., Chen, B., Li, S., Xu, M., Ding, X., Pu, D., Hu, Y., Ren, Y., et al. (2025) · Cancer Research · doi:10.1158/0008-5472.can-24-2355 · Cited by 3
Chen, T., Tang, Q., Yu, B., Tang, L., Lin, J., Zhang, L., Shan, W., & Yu, H. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120505 · Cited by 3
Li, Y., Wang, P., Zhang, W.-Y., Zhou, R., Zhou, J., Chen, J., Wu, J., Cheng, B., Tan, C., & Wu, T. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.171674 · Cited by 3
Peng, X., Xie, Y., Pan, H., Ma, T., Zou, Y., Su, Q., Chen, J., Jiang, H., & Ye, C. (2025) · Communications Biology · doi:10.1038/s42003-025-09447-0 · Cited by 3
Kim, B., Kang, H., Park, J., 박, 수., Youn, H., & Youn, B. (2026) · APOPTOSIS · doi:10.1007/s10495-026-02314-1 · Cited by 3
The secret life of lactate: A novel cell-cycle regulatory mechanism
Cluntun, A. A., & Rutter, J. P. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.04.006 · Cited by 3
Hypoxia promotes metastasis by relieving miR-598-3p-restricted glycolysis in gastric cancer
Zhou, W., Tang, M., He, D., Shen, Y., Huang, Z., Xia, W., Wu, Z., Wei, W., Zheng, H., Wang, Q., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-04957-7 · Cited by 3
Self-citationSystemic metabolic changes in acute and chronic lymphocytic choriomeningitis virus infection
Bartman, C., Hou, S., Correa, F., Shen, Y., da Silva-Diz, V., Aleksandrova, M., Herranz, D., Rabinowitz, J. D., & Intlekofer, A. M. (2025) · Molecular Metabolism · doi:10.1016/j.molmet.2025.102194 · Cited by 3
Self-citationThean, L. F., Wong, M., Lo, M., Tan, I. B., Wong, E. Y. T., Gao, F., Tan, E., Tang, C. L., & Cheah, P. Y. (2023) · Journal of Medical Genetics · doi:10.1136/jmg-2023-109517 · Cited by 3
Glycolytic ATP production enables rapid cell growthPreprint
Kukurugya, M. A., Zhang, S., Ha, B. T., Ekvik, A. E., & Titov, D. V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.30.685682 · Cited by 3
Ding, Q., Yang, W., Xing, X., Lin, H., Xu, C., Xu, L., & Li, S. (2024) · Angewandte Chemie · doi:10.1002/ange.202401032 · Cited by 2
Self-citationJute, P., & Stålhammar, G. (2025) · Communications Medicine · doi:10.1038/s43856-025-00782-1 · Cited by 2
Li, Q., Wang, L., Xie, W., Tan, Q., Zhou, S., Pei, H., Zhang, H., Li, J., Qu, F., & Tan, W. (2025) · Angewandte Chemie · doi:10.1002/ange.202505223 · Cited by 2
Self-citation
Metadata
- Authors
- Bartman, C. R., Weilandt, D. R., Shen, Y., Lee, W. D., Han, Y., TeSlaa, T., Jankowski, C. S. R., Samarah, L., Park, N. R., da Silva-Diz, V., Aleksandrova, M., Gultekin, Y., Marishta, A., Wang, L., Yang, L., Roichman, A., Bhatt, V., Lan, T., Hu, Z., Xing, X., Lu, W., Davidson, S., Wühr, M., Vander Heiden, M. G., Herranz, D., Guo, J. Y., Kang, Y., & Rabinowitz, J. D.
- Affiliations
- Princeton University (US)
- University of California, Los Angeles (US)
- Rutgers, The State University of New Jersey (US)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Corresponding author
- Rabinowitz, Joshua D.
- ORCID
- Bartman, Caroline R.
- Weilandt, Daniel R.
- Shen, Yihui
- Lee, Won Dong
- Han, Yujiao
- TeSlaa, Tara
- Jankowski, Connor S. R.
- Samarah, Laith
- Park, Noel R.
- da Silva-Diz, Victoria
- Aleksandrova, Maya
- Wang, Lin
- Yang, Lifeng
- Roichman, Asael
- Bhatt, Vrushank
- Lan, Taijin
- Hu, Zhixian
- Xing, Xi
- Lu, Wenyun
- Davidson, Shawn
- Wühr, Martin
- Vander Heiden, Matthew G.
- Herranz, Daniel
- Guo, Jessie Yanxiang
- Kang, Yibin
- Rabinowitz, Joshua D.
- Venue
- Nature
- Published
- 2023-02-01
- Volume
- 614
- Issue
- 7947
- Pages
- 349-357
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC10288502
- OpenAlex
- W4318771331
- Cited by
- 299
- References
- 83
- Citations by year
- 2026: 49 · 2025: 93 · 2024: 97 · 2023: 60
- FWCI
- 38.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Damon Runyon Cancer Research Foundation
- Leukemia and Lymphoma Society (1386-23)
- Ludwig Institute for Cancer Research
- National Institutes of Health
- Stand Up To Cancer (SU2C-AACR-DT-20-16, T32GM007388)
- National Cancer Institute (R01CA236936, K99CA273517, P30CA072720, R01CA237347, R50CA211437, R35CA242379, R01CA163591)
- National Institute of General Medical Sciences (T32GM007388, R35GM128813)
- National Institute of Diabetes and Digestive and Kidney Diseases (F32DK127843, DP1DK113643)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer and biochemical research
- Keywords
- TCA cycle, glycolysis, ATP production, cancer metabolism, Warburg effect, lung metastasis, breast cancer, pancreatic cancer, leukemia, tracer infusion, energy metabolism, protein synthesis
- MeSH terms
- Adenosine Triphosphate, Animals, Breast Neoplasms, Citric Acid Cycle, Deceleration, Energy Metabolism, Glycolysis, Lung Neoplasms, Neoplasm Metastasis, Organ Specificity, Pancreatic Neoplasms, Protein Biosynthesis, Proto-Oncogene Proteins p21(ras), Mice
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
