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Metabolic determinants of cancer cell sensitivity to glucose limitation and biguanides
Open accessAbstract
As the concentrations of highly consumed nutrients, particularly glucose, are generally lower in tumours than in normal tissues, cancer cells must adapt their metabolism to the tumour microenvironment. A better understanding of these adaptations might reveal cancer cell liabilities that can be exploited for therapeutic benefit. Here we developed a continuous-flow culture apparatus (Nutrostat) for maintaining proliferating cells in low-nutrient media for long periods of time, and used it to undertake competitive proliferation assays on a pooled collection of barcoded cancer cell lines cultured in low-glucose conditions. Sensitivity to low glucose varies amongst cell lines, and an RNA interference (RNAi) screen pinpointed mitochondrial oxidative phosphorylation (OXPHOS) as the major pathway required for optimal proliferation in low glucose. We found that cell lines most sensitive to low glucose are defective in the OXPHOS upregulation that is normally caused by glucose limitation as a result of either mitochondrial DNA (mtDNA) mutations in complex I genes or impaired glucose utilization. These defects predict sensitivity to biguanides, antidiabetic drugs that inhibit OXPHOS, when cancer cells are grown in low glucose or as tumour xenografts. Notably, the biguanide sensitivity of cancer cells with mtDNA mutations was reversed by ectopic expression of yeast NDI1, a ubiquinone oxidoreductase that allows bypass of complex I function. Thus, we conclude that mtDNA mutations and impaired glucose utilization are potential biomarkers for identifying tumours with increased sensitivity to OXPHOS inhibitors.
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“These findings confirm previous studies that analyzed inhibition of either glycolysis or OXPHOS, and observed an increase in the activity of the other pathway (Hao et al., 2010; Jose et al., 2011; Birsoy et al., 2014; Dykens et al., 2008).”
From Combination of Hypoglycemia and Metformin Impairs Tumor Metabolic Plasticity and Growth by Modulating the PP2A-GSK3β-MCL-1 Axis (2019) · cites this paper as Birsoy et al., 2014
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“Cancer cells with reduced OXPHOS due to either mutated mitochondrial DNA or impaired glucose utilization were unable to initiate this adaptive response, and were thus particularly sensitive to glucose deprivation to one-tenth of normal levels (Birsoy et al., 2014).”
From Combination of Hypoglycemia and Metformin Impairs Tumor Metabolic Plasticity and Growth by Modulating the PP2A-GSK3β-MCL-1 Axis (2019) · cites this paper as Birsoy et al., 2014
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“These results are consistent with previous studies reporting the synergism of the metformin/low glucose combination (Birsoy et al., 2014; Zhuang et al., 2014).”
From Combination of Hypoglycemia and Metformin Impairs Tumor Metabolic Plasticity and Growth by Modulating the PP2A-GSK3β-MCL-1 Axis (2019) · cites this paper as Birsoy et al., 2014
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
Metformin and reduced risk of cancer in diabetic patients
Evans, J. M. M., Donnelly, L. A., Emslie-Smith, A. M., Alessi, D. R., & Morris, A. D. (2005) · BMJ · doi:10.1136/bmj.38415.708634.f7 · Cited by 2,388
OWEN, M. R., DORAN, E., & HALESTRAP, A. P. (2000) · Biochemical Journal · doi:10.1042/bj3480607 · Cited by 2,157
Functional genomics reveal that the serine synthesis pathway is essential in breast cancer
Possemato, R., Marks, K. M., Shaul, Y. D., Pacold, M. E., Kim, D., Birsoy, K., Sethumadhavan, S., Woo, H.-K., Jang, H. G., Jha, A. K., et al. (2011) · Nature · doi:10.1038/nature10350 · Cited by 1,683
Self-citationMetabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403
Self-citationEl-Mir, M.-Y., Nogueira, V., Fontaine, E., Avéret, N., Rigoulet, M., & Leverve, X. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.275.1.223 · Cited by 1,399
Hirayama, A., Kami, K., Sugimoto, M., Sugawara, M., Toki, N., Onozuka, H., Kinoshitá, T., Saito, N., Ochiai, A., Tomita, M., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-4806 · Cited by 965
Metformin and Cancer Risk in Diabetic Patients: A Systematic Review and Meta-analysis
DeCensi, A., Puntoni, M., Goodwin, P., Cazzaniga, M., Gennari, A., Bonanni, B., & Gandini, S. (2010) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-10-0157 · Cited by 918
Observations on the carbohydrate metabolism of tumours
Crabtree, H. G. (1929) · Biochemical Journal · doi:10.1042/bj0230536 · Cited by 864
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Alhourani, A. H., Tidwell, T., Bokil, A. A., Røsland, G. V., Tronstad, K. J., Søreide, K., & Hagland, H. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-89861-6 · Cited by 22
Glioma Stem-Like Cells and Metabolism: Potential for Novel Therapeutic Strategies
Harland, A. J., Liu, X., Ghirardello, M., Galán, M. C., Perks, C. M., & Kurian, K. M. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.743814 · Cited by 21
Willin/FRMD6: A Multi-Functional Neuronal Protein Associated with Alzheimer’s Disease
Chen, D., Yu, W., Aitken, L., & Gunn‐Moore, F. J. (2021) · Cells · doi:10.3390/cells10113024 · Cited by 21
Aprile, M., Cataldi, S., Perfetto, C., Federico, A., Ciccodicola, A., & Costa, V. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02282-2 · Cited by 21
Frank, A. R., Li, V., Shelton, S. D., Kim, J., Stott, G. M., Neckers, L. Μ., Xie, Y., Williams, N. S., Mishra, P., & McFadden, D. G. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0982 · Cited by 20
RNA binding protein: coordinated expression between the nuclear and mitochondrial genomes in tumors
Ma, J., Sun, L., Gao, W., Yang, L., & Dong, D. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04373-3 · Cited by 21
Genetics of enzymatic dysfunctions in metabolic disorders and cancer
Mahé, M., Rios-Fuller, T. J., Karolin, A., & Schneider, R. J. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1230934 · Cited by 23
Qian, R., Lv, J. C., Li, H., & Long, Y. (2017) · ChemMedChem · doi:10.1002/cmdc.201700583 · Cited by 21
Zhang, P., Yao, J., Wang, B., & Qin, L. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b04702 · Cited by 21
AlGhamdi, A. A., Mohammed, M. R. S., Zamzami, M. A., Al-Malki, A. L., Qari, M. H., Khan, M. I., & Choudhry, H. (2020) · Nutrients · doi:10.3390/nu12061792 · Cited by 21
Zhang, J., Yan, L., Wei, P., Zhou, R., Hua, C., Xiao, M., Tu, Y., Gu, Z., & Wei, T. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.173866 · Cited by 23
Saini, N., Lakshminarayanan, S., Kundu, P., & Sarin, A. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.832159 · Cited by 20
Eradicating Quiescent Tumor Cells by Targeting Mitochondrial Bioenergetics
Zhang, X., Milito, A. D., Demiroglu‐Zergeroglu, A., Gullbo, J., D’Arcy, P., & Linder, S. T. (2016) · Trends in cancer · doi:10.1016/j.trecan.2016.10.009 · Cited by 21
The role of GOT1 in cancer metabolism
Peng, H., Dou, H., he, S., Xie, Y., Zhang, Q., & Zheng, J. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1519046 · Cited by 21
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Tau, S. S., & Miller, T. W. (2023) · Cancer and Metastasis Reviews · doi:10.1007/s10555-023-10081-7 · Cited by 22
Zhang, R., Wang, P., Wei, B., Chen, L., Song, X., Pan, Y., Li, J., Gan, J., Zhang, T., & Yang, C. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115577 · Cited by 20
Zhao, L., Zhao, X., Zhao, K., Wei, P., Fang, Y., Zhang, F., Zhang, B., Ogata, K., Mori, A., & Wei, T. (2014) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2014.09.050 · Cited by 20
Characterization of Fibroblasts in Iatrogenic Laryngotracheal Stenosis and Type II Diabetes Mellitus
Lina, I. A., Tsai, H., Ding, D., Davis, R. J., Motz, K., & Hillel, A. T. (2020) · The Laryngoscope · doi:10.1002/lary.29026 · Cited by 21
Catalán, M., Olmedo, I., Faúndez, J., & Jara, J. A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228684 · Cited by 21
Yu, H., Bian, X., Gu, D., & He, X. (2016) · BioMed Research International · doi:10.1155/2016/8678634 · Cited by 20
Galai, G., Ben-David, H., Levin, L., Orth, M. F., Grünewald, T. G. P., Pilosof, S., Bershtein, S., & Rotblat, B. (2020) · Cancers · doi:10.3390/cancers12040825 · Cited by 19
Effects of metformin on adipose-derived stromal cell (ADSC) – Breast cancer cell lines interaction
Teufelsbauer, M., Rath, B., Plangger, A., Staud, C. J., Nanobashvili, J., Huk, I., Neumayer, C., Hamilton, G., & Radtke, C. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118371 · Cited by 19
The mitochondrial RNA polymerase POLRMT promotes skin squamous cell carcinoma cell growth
Wang, Y., Ou, L., Li, X., Zheng, T., Zhu, W., Li, P., Wu, L., & Zhao, T. (2022) · Cell Death Discovery · doi:10.1038/s41420-022-01148-5 · Cited by 19
The NAMPT Inhibitor FK866 Increases Metformin Sensitivity in Pancreatic Cancer Cells
Parisotto, M., Vuong, N., Kalegari, P., Meharwade, T., Joumier, L., Igelmann, S., Bourdeau, V., Rowell, M., Pollak, M., Malleshaiah, M. K., et al. (2022) · Cancers · doi:10.3390/cancers14225597 · Cited by 21
Abbott, K. L., Ali, A., Reinfeld, B. I., Deik, A., Subudhi, S., Landis, M. D., Hongo, R. A., Young, K. L., Kunchok, T., Nabel, C. S., et al. (2024) · eLife · doi:10.7554/elife.95652 · Cited by 22
Self-citationRajh, M., Dolinar, K., Miš, K., Pavlin, M., & Pirkmajer, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154747 · Cited by 22
Niu, N., Liu, T., Cairns, J., Ly, R. C., Tan, X., Deng, M., Fridley, B. L., Kalari, K. R., Abo, R., Jenkins, G. D., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw301 · Cited by 19
McCracken, A. N., McMonigle, R. J., Tessier, J., Fransson, R., Perryman, M. S., Chen, B., Keebaugh, A. J., Selwan, E. M., Barr, S. A., Kim, S. M., et al. (2016) · Leukemia · doi:10.1038/leu.2016.244 · Cited by 18
Ishida, T., Shimamoto, T., Ozaki, N., Takaki, S., Kuchimaru, T., Kizaka‐Kondoh, S., & Omata, T. (2016) · Micromachines · doi:10.3390/mi7090155 · Cited by 19
Effects of Biguanides on Growth and Glycolysis of Bladder and Colon Cancer Cells
Lea, M. A., Kim, H., & desBordes, C. (2018) · Anticancer Research · doi:10.21873/anticanres.12819 · Cited by 20
Marciano, R., Prasad, M., Ievy, T., Tzadok, S., Leprivier, G., Elkabets, M., & Rotblat, B. (2019) · Cancers · doi:10.3390/cancers11020156 · Cited by 20
De, A., Kuppuswamy, G., & Jaiswal, A. (2019) · Drug Development and Industrial Pharmacy · doi:10.1080/03639045.2019.1665060 · Cited by 19
Systemic therapy in metastatic pancreatic adenocarcinoma: current practice and perspectives
Lellouche, L., Palmieri, L., Dermine, S., Brézault, C., Chaussade, S., & Coriat, R. (2021) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359211018539 · Cited by 19
Chen, H., Lee, L.-S., Li, G., Tsao, S., & Chiu, J. (2016) · Oncotarget · doi:10.18632/oncotarget.9814 · Cited by 19
Zhuang, Y., Ly, R. C., Frazier, C., Yu, J., Qin, S., Fan, X., Goetz, M. P., Boughey, J. C., Weinshilboum, R. M., & Wang, L. (2019) · Cancer & Metabolism · doi:10.1186/s40170-018-0193-4 · Cited by 19
Zhang, W. Y., Jin, Q., Luo, J., Wu, J., & Wang, Z. (2018) · Journal of Food Science and Technology · doi:10.1007/s13197-018-3348-y · Cited by 17
Öztürk, H., Cingoz, H., Tufan, T., Yang, J., Adair, S. J., Tummala, K. S., Kuscu, C., Kinali, M., Cömertpay, G., Nagdas, S., et al. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.04.014 · Cited by 18
Glucometabolic reprogramming: From trigger to therapeutic target in hepatocellular carcinoma
Xia, H., Huang, Z., Wang, Z., Liu, S., Zhao, X., You, J., Xu, Y., Yam, J. W. P., & Cui, Y. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.953668 · Cited by 18
The Interplay between Dysregulated Metabolism and Epigenetics in Cancer
Bassal, M. A. (2023) · Biomolecules · doi:10.3390/biom13060944 · Cited by 19
Hege-Hurrish, K., Su, Y., Patel, S., Ramage, C. L., Zhao, J., Temby, B. R., Carter, J. L., Edwards, H. J., Buck, S. A., Wiley, S. E., et al. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115981 · Cited by 18
Polyploidy and mTOR signaling: a possible molecular link
Choudhury, D., Ghosh, D., Mondal, M., Singha, D., Pothuraju, R., & Malakar, P. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01526-9 · Cited by 20
FLIPL is critical for aerobic glycolysis in hepatocellular carcinoma
Lei, S., Yang, J., Chen, C., Sun, J., Yang, L., Tang, H., Yang, T., Chen, A., Zhao, H., Li, Y., et al. (2016) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-016-0358-3 · Cited by 18
Cho, Y. S., Lee, J. H., Jung, K., Park, J.-W., Moon, S. H., Choe, Y. S., & Lee, K.-H. (2016) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2016.06.001 · Cited by 20
Metabolic enzymes expressed by cancer cells impact the immune infiltrate
Stoll, G., Kremer, M., Bloy, N., Joseph, A., Castedo, M., Meurice, G., Klein, C., Galluzzi, L., Michels, J., & Kroemer, G. (2019) · OncoImmunology · doi:10.1080/2162402x.2019.1571389 · Cited by 18
Duan, R., Xu, Y., Zeng, X., Xu, J., Liang, L., Zhang, Z., Wang, Z., Jiang, X., Xing, B., Liu, B., et al. (2020) · Nano Letters · doi:10.1021/acs.nanolett.0c04520 · Cited by 17
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
Pei, C., Liu, C., Wang, Y., Cheng, D., Li, R., Shu, W., Zhang, C., Hu, W., Jin, A., Yang, Y., et al. (2020) · Angewandte Chemie · doi:10.1002/ange.202001135 · Cited by 17
Li, M., Huang, W., Zhang, Y., Du, Y., Zhao, S., Wang, L., Sun, Y., Sha, B., Yan, J., Ma, Y., et al. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-06808-1 · Cited by 17
Metabolomics Analyses of Cancer Cells in Controlled Microenvironments
Gravel, S., Avizonis, D. Z., & St‐Pierre, J. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-3801-8_20 · Cited by 17
Cancer Foraging Ecology: Diet Choice, Patch Use, and Habitat Selection of Cancer Cells
Amend, S. R., Gatenby, R. A., Pienta, K. J., & Brown, J. S. (2018) · Current Pathobiology Reports · doi:10.1007/s40139-018-0185-7 · Cited by 17
Muthu, M., & Nordström, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061385 · Cited by 16
Possible Role of Metformin as an Immune Modulator in the Tumor Microenvironment of Ovarian Cancer
Tsogas, F. K., Majerczyk, D., & Hart, P. C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020867 · Cited by 17
Gao, Y., Zhang, E., Fei, X., Kong, L., Liu, P., & Tan, X. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.691161 · Cited by 17
Targeting Hypoxia: Revival of Old Remedies
Vilaplana‐Lopera, N., Besh, M., & Moon, E. J. (2021) · Biomolecules · doi:10.3390/biom11111604 · Cited by 17
Cruz, P., Ahumada-Castro, U., Bustos, G., Molgó, J., Sauma, D., Lovy, A., & Cárdenas, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020651 · Cited by 17
Ping, M., Li, G., Li, Q., Yang, F., Fan, T., Wu, J., Zhang, R., Zhang, L., Shen, B. Q., & Guo, J. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-07052-3 · Cited by 16
Qian, S., Pan, L., Chen, G., Qiu, F., Ma, Y., Li, R., Mehta, J. L., & Wang, X. (2026) · Pharmacological Reviews · doi:10.1016/j.pharmr.2026.100127 · Cited by 16
The Role of Feedback Loops in Targeted Therapy for Pancreatic Cancer
Gu, W., Shen, H., Xie, L., Zhang, X., & Yang, J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.800140 · Cited by 14
Liu, D., Wang, Y., Li, X., Wang, Y., Zhang, Z., Wang, Z., & Zhang, X. (2023) · Amino Acids · doi:10.1007/s00726-023-03316-y · Cited by 17
Estimating Relative Changes of Metabolic Fluxes
Huang, L., Kim, D.-S., Liu, X., Myers, C. R., & Locasale, J. W. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003958 · Cited by 16
The Nurture of Tumors Can Drive Their Metabolic Phenotype
Schug, Z. T., Voorde, J. V., & Gottlieb, E. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.02.016 · Cited by 16
Geoghegan, F., Chadderton, N., Farrar, G. J., Zisterer, D. M., & Porter, R. K. (2017) · Oncology Letters · doi:10.3892/ol.2017.6929 · Cited by 20
Xing, T.-R., Chen, P., Wu, J., Gao, L., Yang, W., Cheng, Y., & Tong, L.-B. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s233149 · Cited by 16
RetractedStratifying nutritional restriction in cancer therapy: Next stop, personalized medicine
Krstić, J., Pieber, T. R., & Prokesch, A. (2020) · International review of cytology · doi:10.1016/bs.ircmb.2020.03.001 · Cited by 18
Is metformin a geroprotector? A peek into the current clinical and experimental data
Zajda, A., Huttunen, K. M., Sikora, J., Podsiedlik, M., & Markowicz-Piasecka, M. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111350 · Cited by 16
Deguchi, T., Hosoya, K., Kim, S., Murase, Y., Yamamoto, K., Bo, T., Yasui, H., Inanami, O., & Okumura, M. (2021) · Molecular Therapy — Oncolytics · doi:10.1016/j.omto.2021.08.007 · Cited by 16
Chen, H., Zhang, H., Cao, L., Cui, J., Ma, X., Zhao, C., Yin, S., & Hu, H. (2022) · Cancers · doi:10.3390/cancers14020345 · Cited by 16
Considerations for using isolated cell systems to understand cardiac metabolism and biology
McNally, L. A., Altamimi, T., Fulghum, K., & Hill, B. G. (2020) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2020.12.007 · Cited by 16
Jing, Z., Gao, J., Li, J., Niu, F., Tian, L., Nan, P., Sun, Y., Xie, X., Zhu, Y., Zhao, Y., et al. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.06.016 · Cited by 15
Kochanowski, K., Sander, T., Link, H., Chang, J. B., Altschuler, S. J., & Wu, L. F. (2021) · Cell Reports · doi:10.1016/j.celrep.2020.108647 · Cited by 16
Key indexes and the emerging tool for tumor microenvironment editing.
Dai, X., Luo, Y.-N., Xu, Y., & Zhang, J. (2019) · PubMed Central · Cited by 15
Dietary thiamine influences l -asparaginase sensitivity in a subset of leukemia cells
Guarecuco, R., Williams, R. T., Baudrier, L., La, K., Passarelli, M. C., Ekizoglu, N., Mestanoğlu, M., Alwaseem, H., Rostandy, B., Fidelin, J., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc7120 · Cited by 15
Self-citationXenotopic synthetic biology: Prospective tools for delaying aging and age-related diseases
Parkhitko, A. A., & Cracan, V. (2025) · Science Advances · doi:10.1126/sciadv.adu1710 · Cited by 15
STAT3 mediated regulation of glucose metabolism in leukemia cells
Yücel, B., Kara, S. A., Çekmen, M., Ada, S., & Tan, B. D. (2021) · Gene · doi:10.1016/j.gene.2021.146012 · Cited by 14
Chemical genomics with pyrvinium identifies C1orf115 as a regulator of drug efflux
Masud, S. N., Chandrashekhar, M., Aregger, M., Tan, G., Zhang, X., Mero, P., Pirman, D. A., Zaslaver, O., Smolen, G. A., Lin, Z., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-01109-0 · Cited by 13
Hollow Mesoporous Silica Nanoparticles for Dual Chemo-starvation Therapy of Hepatocellular Carcinoma
Ullah, A., Khan, M., Yibang, Z., Raza, F., Hasnat, M., Cao, J., Qi, X., Hussain, A., & Liu, D. (2023) · Pharmaceutical Research · doi:10.1007/s11095-023-03599-6 · Cited by 14
Abdel-Naime, W. A., Kimishima, A., Setiawan, A., Fahim, J. R., Fouad, M. A., Kamel, M. S., & Arai, M. (2020) · Marine Drugs · doi:10.3390/md18110555 · Cited by 14
Phenylethynylbenzyl-modified biguanides inhibit pancreatic cancer tumor growth
Hébert, A., Parisotto, M., Rowell, M., Doré, A., Ruiz, A. F., Lefrançois, G., Kalegari, P., Ferbeyre, G., & Schmitzer, A. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-87993-3 · Cited by 14
Kohan, S. F., Zamani, H., & Salehzadeh, A. (2023) · BioMetals · doi:10.1007/s10534-023-00516-7 · Cited by 14
PEPCK in cancer cell starvation
Leithner, K. (2015) · Oncoscience · doi:10.18632/oncoscience.252 · Cited by 14
Joerger, M., van Schaik, R. H. N., Becker, M. L., Hayoz, S., Pollak, M., Cathomas, R. L., Winterhalder, R., Gillessen, S., & Rothermundt, C. A. (2015) · Prostate Cancer and Prostatic Diseases · doi:10.1038/pcan.2015.8 · Cited by 13
Mitochondrial DNA Somatic Mutation in Cancer
Kim, A. (2014) · Toxicological Research · doi:10.5487/tr.2014.30.4.235 · Cited by 13
Xie, Y., Zhang, Y., Sun, A., Peng, Y., Hou, W., Xiang, C., Zhang, G., Lai, B., Hou, X., Zheng, F., et al. (2022) · Redox Biology · doi:10.1016/j.redox.2022.102447 · Cited by 13
Xu, Y., Xue, D., Kyani, A., Bankhead, A., Roy, J., Ljungman, M. E., & Neamati, N. (2023) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.3c00069 · Cited by 15
Song, I., Han, J., & Lee, H. K. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12300 · Cited by 13
Gaglio, D., Valtorta, S., Ripamonti, M., Bonanomi, M., Damiani, C., Todde, S., Negri, A. S., Sanvito, F., Mastroianni, F., Campli, A. D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.10470 · Cited by 15
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Zhang, J., Gelman, I. H., Katsuta, E., Liang, Y., Wang, X., Li, J., Qu, J., Yan, L., Takabe, K., & Hochwald, S. N. (2019) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2019.02.009 · Cited by 13
Hu, M., & Santin, J. M. (2022) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2022.1131 · Cited by 11
Rethinking our approach to cancer metabolism to deliver patient benefit
Tardito, S., & MacKay, C. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02324-9 · Cited by 10
Sviderskiy, V. O., Vasudevaraja, V., Dubois, L. G., Stafford, J. M., Liu, E. K., Serrano, J., Possemato, R., & Snuderl, M. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-01961-w · Cited by 12
Self-citationMyung, S., Park, Y. Y., & Kim, M. S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26136040 · Cited by 12
Liu, S., Deng, Y., Yu, Y., & Xia, X. (2023) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2023.03.034 · Cited by 12
Gifford, G. K., Gifford, A. J., Chen, Q., Shen, Y., Gabrielli, S., Gill, A. J., Stevenson, W. S., & Best, G. (2020) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2020.1742899 · Cited by 11
Kapuy, O., Makk‐Merczel, K., & Szarka, A. (2021) · Biomolecules · doi:10.3390/biom11050652 · Cited by 13
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Wei, J. N., Mayberry, C. L., Lv, X., Hu, F., Sears, J. D., Khan, T., Logan, N. A., Sears, J. D., Chaussabel, D., & Chang, C. (2024) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-23-0851 · Cited by 11
Pan, T. S., Tang, L., Chu, R., Zheng, S., Wang, J., Yang, Y., Wang, W., & He, J. F. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c07962 · Cited by 11
Karki, B. R., MacMillan, A. C., Vicente-Muñoz, S., Greis, K. D., Romick, L. E., & Cunningham, J. T. (2025) · Nature Communications · doi:10.1038/s41467-025-61216-z · Cited by 11
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Stuart-Walker, W., & Mahon, C. S. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.01.018 · Cited by 11
Metadata
- Authors
- Birsoy, K., Possemato, R., Lorbeer, F. K., Bayraktar, E. C., Thiru, P., Yucel, B., Wang, T., Chen, W. W., Clish, C. B., & Sabatini, D. M.
- Affiliations
- Broad Institute (US)
- Whitehead Institute for Biomedical Research (US)
- Corresponding author
- Sabatini, David M.
- ORCID
- Venue
- Nature
- Published
- 2014-03-16
- Volume
- 508
- Issue
- 7494
- Pages
- 108-112
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4012432
- OpenAlex
- W2104696999
- Cited by
- 710
- References
- 27
- Citations by year
- 2026: 17 · 2025: 44 · 2024: 58 · 2023: 46 · 2022: 60 · 2021: 75 · 2020: 83 · 2019: 71 · 2018: 51 · 2017: 49 · 2016: 61 · 2015: 59 · 2014: 35
- FWCI
- 21.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Cancer Institute (CA129105, K99CA168940, CA103866, R01CA103866, R01CA129105, R00CA168940)
- National Institute of General Medical Sciences (T32GM007287)
- National Institute of Allergy and Infectious Diseases (AI-07389, T32AI007389)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK043351)
- 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 › PI3K/AKT/mTOR signaling in cancer
- Keywords
- glucose limitation, biguanides, mitochondrial oxidative phosphorylation, cancer metabolism, mitochondrial DNA mutations, complex I, antidiabetic drugs, OXPHOS inhibitors, continuous flow culture, tumor microenvironment, NDI1, glucose utilization, cancer cell lines, drug sensitivity biomarkers
- MeSH terms
- Adenosine Triphosphate, Animals, Biguanides, Culture Media, DNA, Mitochondrial, Glucose, Humans, Hypoglycemic Agents, Male, Mitochondria, Mutation, Neoplasm Transplantation, Neoplasms, Oxidative Phosphorylation, Phenformin, Cell Culture Techniques, Xenograft Model Antitumor Assays, Saccharomyces cerevisiae Proteins, RNA Interference, Electron Transport Complex I, Cell Line, Tumor, Cell Proliferation, Mice, Molecular Typing
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