The DOI matches its Crossref record; 142 of the 142 references it cites were found in a registry or an index.
Regulation of cancer cell metabolism
Abstract
Interest in the topic of tumour metabolism has waxed and waned over the past century of cancer research. The early observations of Warburg and his contemporaries established that there are fundamental differences in the central metabolic pathways operating in malignant tissue. However, the initial hypotheses that were based on these observations proved inadequate to explain tumorigenesis, and the oncogene revolution pushed tumour metabolism to the margins of cancer research. In recent years, interest has been renewed as it has become clear that many of the signalling pathways that are affected by genetic mutations and the tumour microenvironment have a profound effect on core metabolism, making this topic once again one of the most intense areas of research in cancer biology.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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 the citing paper
“One possible explanation for the observed difference between cSNVs and dbSNVs could be system-wide alterations in cancer cells, which are often characterized by increased replication stress, altered DNA repair mechanisms or changes in chromatin structure (85,86).”
From G-quadruplex-mediated genomic instability drives SNVs in cancer (2024) · cites this paper as [85]
In the citing paper
“Recent findings implicate TME in the induced metabolic rewiring in cancer cells (Cairns et al., 2011; Fiaschi and Chiarugi, 2012; Rattigan et al., 2012).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Cairns et al., 2011
In the citing paper
“Unlike normal cells, which derive most of their energy from mitochondrial oxidative phosphorylation, cancer cells rely on aerobic glycolysis as their primary energy resource. This process is recognized as the “Warburg effect”21–23.”
From RETRACTED ARTICLE: Fasting inhibits aerobic glycolysis and proliferation in colorectal cancer via the Fdft1-mediated AKT/mTOR/HIF1α pathway suppression (2020) · cites this paper as [22]
Citations
Cites
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
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Mitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
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
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
Kim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905
Stratton, M. R., Campbell, P. J., & Futreal, P. A. (2009) · Nature · doi:10.1038/nature07943 · Cited by 3,625
Flagged first, then by citations
Cited by
Sorted by citations
Items 801–900 of 1,016
Radiation induces senescence and a bystander effect through metabolic alterations
Liao, E.-C., Hsu, Y.-T., Chuah, Q.-Y., Lee, Y. J., Hu, J.-Y., Huang, T.-C., Yang, P., & Chiu, S.-J. (2014) · Cell Death and Disease · doi:10.1038/cddis.2014.220 · Cited by 106
Andersen, A. P., Moreira, J. M. A., & Pedersen, S. F. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0098 · Cited by 105
Dixit, D., Ghildiyal, R., Anto, N. P., & Sen, E. (2014) · Cell Death and Disease · doi:10.1038/cddis.2014.179 · Cited by 104
Energy Metabolism in a Matched Model of Radiation Resistance for Head and Neck Squamous Cell Cancer
Mims, J., Bansal, N., Bharadwaj, M. S., Chen, X., Molina, A. J. A., Tsang, A. W., & Furdui, C. M. (2015) · Radiation Research · doi:10.1667/rr13828.1 · Cited by 100
Zhang, C., Liu, J., Zhao, Y., Yue, X., Zhu, Y., Wang, X., Wu, H., Blanco, F., Li, S., Bhanot, G., et al. (2016) · eLife · doi:10.7554/elife.10727 · Cited by 106
Pancreatic cancer: Current research and future directions
Falasca, M., Kim, M., & Casari, I. (2016) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2016.01.001 · Cited by 101
Shi, J., Fu, H., Jia, Z., He, K., Fu, L. N., & Wang, W. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.11.025 · Cited by 110
Nano-enabled theranostics for cancer
Sharmiladevi, P., Girigoswami, K., Haribabu, V., & Girigoswami, A. (2021) · Materials Advances · doi:10.1039/d1ma00069a · Cited by 101
Jin, Z., Lu, Y., Wu, X., Pan, T., Yu, Z., Hou, J., Wu, A., Li, J., Yang, Z., Li, C., et al. (2021) · Redox Biology · doi:10.1016/j.redox.2021.102076 · Cited by 101
Self‐Assembly of Multi‐nanozymes to Mimic an Intracellular Antioxidant Defense System
Huang, Y., Liu, Z., Liu, C., Ju, E., Zhang, Y., Ren, J., & Qu, X. (2016) · Angewandte Chemie · doi:10.1002/ange.201600868 · Cited by 102
Dealing with dimensionality: the application of machine learning to multi-omics data
Feldner-Busztin, D., Firbas, P., Edmunds, S. J., Boza, G., Racimo, F., Gopalakrishnan, S., Limborg, M. T., Lahti, L., & de Polavieja, G. G. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad021 · Cited by 110
An ultrasound-activatable platinum prodrug for sono-sensitized chemotherapy
Liu, G., Zhang, Y., Yao, H., Deng, Z., Chen, S., Wang, Y., Wang, P., Sun, G., Tse, M., Chen, X., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg5964 · Cited by 101
Mediavilla-Varela, M., Luddy, K. A., Noyes, D. R., Khalil, F. K., Neuger, A. M., Soliman, H. H., & Antonia, S. J. (2013) · Cancer Biology & Therapy · doi:10.4161/cbt.25643 · Cited by 102
Endothelial responses of magnesium and other alloying elements in magnesium-based stent materials
Zhao, N., & Zhu, D. (2014) · Metallomics · doi:10.1039/c4mt00244j · Cited by 101
Zou, Y., Wang, A., Shi, M., Chen, X., Liu, R., Li, T., Zhang, C., Zhang, Z., Zhu, L., Ju, Z., et al. (2018) · Nature Protocols · doi:10.1038/s41596-018-0042-5 · Cited by 102
Curcumin Ameliorates Nonalcoholic Fatty Liver Disease through Inhibition of O-GlcNAcylation
Lee, D. E., Lee, S. J., Kim, S. J., Lee, H., & Kwon, O. (2019) · Nutrients · doi:10.3390/nu11112702 · Cited by 105
Tyrosine Kinase Receptors in Oncology
Esteban-Villarrubia, J., Castillo, J. J. S., Pozas, J., Román, M. S., Orejana, I., Torres-Jiménez, J., Carrato, A., Alonso‐Gordoa, T., & Molina‐Cerrillo, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228529 · Cited by 104
Zhang, H., Xu, S., Zhang, J., Wang, Z., Liu, D., Guo, L., Cheng, C., Cheng, Y., Xu, D., Kong, M. G., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121057 · Cited by 100
Applications of metabolomics in cancer research
Styczynski, M. P., & Vermeersch, K. A. (2013) · Journal of Carcinogenesis · doi:10.4103/1477-3163.113622 · Cited by 107
Murakami, Y., Kubo, S., Tamori, A., Itami, S., Kawamura, E., Iwaisako, K., Ikeda, K., Kawada, N., Ochiya, T., & Taguchi, Y. (2015) · Scientific Reports · doi:10.1038/srep16294 · Cited by 99
Prospects for chimeric antigen receptor-modified T cell therapy for solid tumors
Zhang, E., Gu, J., & Xu, H. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0759-3 · Cited by 103
Xu, D., Li, X., Shao, F., Lv, G., Lv, H., Lee, J.-H., Qian, X., Zheng, W., Xia, Y., Du, L., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav4570 · Cited by 103
Theranostic designs of biomaterials for precision medicine in cancer therapy.
Kim, H., Kwak, G., Kim, K., Yoon, H., & Kwon, I. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.05.018 · Cited by 75
Adipocyte mesenchymal transition contributes to mammary tumor progression
Zhu, Q., Zhu, Y., Hepler, C., Zhang, Q., Park, J., Gliniak, C. M., Henry, G. H., Crewe, C., Bu, D., Zhang, Z., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111362 · Cited by 99
ERK2 Mediates Metabolic Stress Response to Regulate Cell Fate
Shin, S., Buel, G. R., Wolgamott, L., Plas, D. R., Asara, J. M., Blenis, J., & Yoon, S.-O. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.06.020 · Cited by 100
Krasnov, G. S., Dmitriev, A. A., Snezhkina, A. V., & Kudryavtseva, A. V. (2013) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2013.775253 · Cited by 102
Luo, X., Hong, L., Cheng, C., Li, N., Zhao, X., Shi, F., Liu, J., Fan, J., Zhou, J., Bode, A. M., et al. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0662-2 · Cited by 97
The Pentose Phosphate Pathway in Cancer: Regulation and Therapeutic Opportunities
Ghanem, N., El‐Baba, C., Araji, K., El‐Khoury, R., Usta, J. A., & Darwiche, N. (2021) · Chemotherapy · doi:10.1159/000519784 · Cited by 98
Cuproptosis: mechanisms and nanotherapeutic strategies in cancer and beyond
Mao, L., Lu, J., Wen, X., Song, Z., Sun, C., Zhao, Y., Huang, F., Chen, S., Jiang, D., Che, W., et al. (2025) · Chemical Society Reviews · doi:10.1039/d5cs00083a · Cited by 104
Huang, Y., Zhu, D., Chen, X., Chen, Q.-K., Luo, Z., Chang-chun, L., Wang, G., Zhang, W., & Liao, N.-Z. (2017) · Oncotarget · doi:10.18632/oncotarget.16828 · Cited by 100
Imaging metabolic heterogeneity in cancer
Sengupta, D., & Pratx, G. (2016) · Molecular Cancer · doi:10.1186/s12943-015-0481-3 · Cited by 94
A Comprehensive Analysis of Metabolomics and Transcriptomics in Cervical Cancer
Yang, K. G., Xia, B., Wang, W., Cheng, J., Yin, M., Xie, H., Li, J., Ma, L., Yang, C., Li, A., et al. (2017) · Scientific Reports · doi:10.1038/srep43353 · Cited by 97
Hu, X., Chao, M., & Wu, H. (2017) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2016.47 · Cited by 102
Zheng, W., Feng, Q., Liu, J., Guo, Y., Gao, L., Li, R., Xu, M., Yan, G., Yin, Z., Zhang, S., et al. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00421 · Cited by 97
Metabolic Footprints and Molecular Subtypes in Breast Cancer
Cappelletti, V., Iorio, E., Miodini, P., Silvestri, M., Dugo, M., & Daidone, M. G. (2017) · Disease Markers · doi:10.1155/2017/7687851 · Cited by 99
Porcari, A. M., Zhang, J., Garza, K. Y., Peres, R. M. R., Lin, J. Q., Young, J. H., Tibshirani, R. J., Nagi, C. S., Silva, G. R. D. P., Carter, S. A., et al. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b01961 · Cited by 97
Homeobox Genes in Cancers: From Carcinogenesis to Recent Therapeutic Intervention
Feng, Y., Zhang, T., Wang, Y., Xie, M., Ji, X., Luo, X., Huang, W., & Xia, L. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.770428 · Cited by 97
Tumor suppressor p53 negatively regulates glycolysis stimulated by hypoxia through its target RRAD
Zhang, C., Liu, J., Wu, R., Liang, Y., 林美华, Liu, J., Chan, C. S., Hu, W., & Feng, Z. (2014) · Oncotarget · doi:10.18632/oncotarget.2137 · Cited by 101
Toupance, S., Brassart, B., Rabenoelina, F., Ghoneim, C., Vallar, L., Polette, M., Debelle, L., & Birembaut, P. L. (2012) · Clinical & Experimental Metastasis · doi:10.1007/s10585-012-9467-3 · Cited by 97
Guzzo, G., Sciacovelli, M., Bernardi, P., & Rasola, A. (2014) · Oncotarget · doi:10.18632/oncotarget.2472 · Cited by 100
The Intercellular Metabolic Interplay between Tumor and Immune Cells
Wang, T., Liu, G., & Wang, R. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00358 · Cited by 96
Shukla, S. K., Dasgupta, A., Mehla, K., Gunda, V., Vernucci, E., Souchek, J., Goode, G., King, R., Mishra, A., Rai, I., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.5843 · Cited by 96
Autophagy: An adaptive metabolic response to stress shaping the antitumor immunity
Viry, E., Paggetti, J., Bagińska, J., Mgrditchian, T., Berchem, G., Moussay, E., & Janji, B. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.07.006 · Cited by 99
Role of Intestinal HIF-2α in Health and Disease
Ramakrishnan, S. K., & Shah, Y. M. (2015) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105202 · Cited by 100
Bean, G. R., Kremer, J. C., Prudner, B. C., Schenone, A. D., Yao, J.-C., Schultze, M., Chen, D. Y., Tanas, M. R., Adkins, D. R., Bomalaski, J. S., et al. (2016) · Cell Death and Disease · doi:10.1038/cddis.2016.232 · Cited by 103
Yang, J., Zhao, J.-X., Cao, Q., Liang, H., Zhou, D., Gan, Z., Ji, L., & Mao, Z. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b01764 · Cited by 96
Abrego, J., Gunda, V., Vernucci, E., Shukla, S. K., King, R. J., Dasgupta, A., Goode, G. D., Murthy, D., Yu, F., & Singh, P. K. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.04.029 · Cited by 96
Human organoid cultures: transformative new tools for human virus studies
Ramani, S., Crawford, S. E., Blutt, S. E., & Estes, M. K. (2018) · Current Opinion in Virology · doi:10.1016/j.coviro.2018.04.001 · Cited by 93
Shang, R., Wang, M., Dai, B., Du, J., Wang, J., Liu, Z., Qu, S., Yang, X., Liu, J., Xia, C., et al. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12666 · Cited by 96
Redox Homeostasis and Metabolism in Cancer: A Complex Mechanism and Potential Targeted Therapeutics
Ghoneum, A., Abdulfattah, A. Y., Warren, B., Shu, J., & Said, N. A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21093100 · Cited by 100
Zhang, Y., Xu, Y., Lu, W., Ghergurovich, J. M., Guo, L., Blair, I. A., Rabinowitz, J. D., & Yang, X. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.002 · Cited by 96
Regulation of rDNA transcription in response to growth factors, nutrients and energy
Kusnadi, E. P., Hannan, K. M., Hicks, R. J., Hannan, R. D., Pearson, R. B., & Kang, J. (2014) · Gene · doi:10.1016/j.gene.2014.11.010 · Cited by 105
miR‐290/371‐Mbd2‐Myc circuit regulates glycolytic metabolism to promote pluripotency
Cao, Y., Guo, W., Tian, S., He, X., Wang, X., Liu, X., Gu, K., Ma, X., Huang, D., Hu, L., et al. (2015) · The EMBO Journal · doi:10.15252/embj.201490441 · Cited by 94
Ji, S., Qin, Y., Liang, C., Huang, R., Shi, S., Liu, J., Jin, K., Liang, D., Xu, W., Zhang, B., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2380 · Cited by 94
Houck, A. L., Seddighi, S., & Driver, J. A. (2018) · Current Aging Science · doi:10.2174/1874609811666180223154436 · Cited by 96
SLC2A5 promotes lung adenocarcinoma cell growth and metastasis by enhancing fructose utilization
Weng, Y., Fan, X., Bai, Y., Wang, S., Huang, H., Yang, H., Zhu, J., & Zhang, F. (2018) · Cell Death Discovery · doi:10.1038/s41420-018-0038-5 · Cited by 96
San-Millán, I., Julian, C. G., Matarazzo, C. J., Martinez, J. L., & Brooks, G. A. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2019.01536 · Cited by 93
Vitamin B6 Addiction in Acute Myeloid Leukemia
Chen, C.-C., Li, B., Millman, S. E., Chen, C., Li, X., Morris, J. P., Mayle, A., Ho, Y.-J., Loizou, E., Liu, H., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2019.12.002 · Cited by 95
Recent Advances in Cancer Therapeutic Copper-Based Nanomaterials for Antitumor Therapy
Aishajiang, R., Liu, Z., Wang, T., Zhou, L. Y., & Yu, D. N. (2023) · Molecules · doi:10.3390/molecules28052303 · Cited by 99
Yun, H. J., Li, M., Guo, D. S., Jeon, S. M., Park, S. H., Lim, J. S., Lee, S. B., Liu, R. R., Du, L., Kim, S., et al. (2023) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02927-3 · Cited by 99
Lee, Y., Choi, K., Park, K. M., Lee, J., Park, B. J., & Park, K. D. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b03870 · Cited by 95
Emerging Targeted and Immune-Based Therapies in Sarcoma
Pollack, S. M., Ingham, M. A., Spraker, M. B., & Schwartz, G. K. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2017.75.1610 · Cited by 95
Emerging roles of long non-coding RNAs in tumor metabolism
Sun, H., Huang, Z., Sheng, W., & Xu, M. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0648-7 · Cited by 93
Fibrometabolism—An emerging therapeutic frontier in pulmonary fibrosis
Selvarajah, B., Azuelos, I., Anastasiou, D., & Chambers, R. C. (2021) · Science Signaling · doi:10.1126/scisignal.aay1027 · Cited by 94
Song, W., Zeng, J., Ji, P., Han, Z., Sun, Y., & Zhang, X. (2023) · Small · doi:10.1002/smll.202301148 · Cited by 93
Endocannabinoid and ceramide levels are altered in patients with colorectal cancer
CHEN, L., CHEN, H., Li, Y., Li, L., Qiu, Y., & Ren, J. (2015) · Oncology Reports · doi:10.3892/or.2015.3973 · Cited by 94
Jiang, L., Wang, H., Li, J., Fang, X., Pan, H., Yuan, X., & Zhang, P. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms150711539 · Cited by 94
Lee, P., Vousden, K. H., & Cheung, E. C. (2014) · Cancer & Metabolism · doi:10.1186/2049-3002-2-1 · Cited by 99
Ban, H. S., Kim, B., Lee, H., Kim, H. M., Harmalkar, D. S., Nam, M., Park, S., Lee, K., Park, J.-T., Kim, I., et al. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.235 · Cited by 96
Lee, Y.-M., Lee, G., Oh, T.-I., Kim, B. M., Shim, D.-W., Lee, K., Kim, Y. J., Lim, B. O., & Lim, J.-H. (2015) · International Journal of Oncology · doi:10.3892/ijo.2015.3243 · Cited by 92
Wang, L., Hung, C.-L., Chen, Y.-R., Yang, J. C., Wang, J., Campbell, M., Izumiya, Y., Chen, H.-W., Wang, W., Ann, D. K., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.08.018 · Cited by 93
Role of ketogenic metabolic therapy in malignant glioma: A systematic review
Winter, S. F., Loebel, F., & Dietrich, J. (2017) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2017.02.016 · Cited by 95
Liu, Y., Cao, Y., Pan, X., Shi, M., Wu, Q., Huang, T., Jiang, H., Li, W., & Zhang, J. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0522-0 · Cited by 94
Emerging Insights into Wnt/β-catenin Signaling in Head and Neck Cancer
Abalkhail, K. A., & Kukuruzinska, M. A. (2018) · Journal of Dental Research · doi:10.1177/0022034518771923 · Cited by 90
Determinants of response and resistance to CAR T cell therapy
Lesch, S., Benmebarek, M.-R., Cadilha, B. L., Stoiber, S., Subklewe, M. S., Endres, S., & Kobold, S. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.11.004 · Cited by 96
Mitochondrial and metabolic alterations in cancer cells
Gregorio, J. D., Petricca, S., Iorio, R., Toniato, E., & Flati, V. (2022) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2022.151225 · Cited by 97
Change in the microenvironment of breast cancer studied by FTIR imaging
Kumar, S., Desmedt, C., Larsimont, D., Sotiriou, C., & Goormaghtigh, E. (2013) · The Analyst · doi:10.1039/c3an00241a · Cited by 93
Valero, C., Pardo, L., López, M., Garcı́a, J., Camacho, M., Quer, M., & León, X. (2016) · Head & Neck · doi:10.1002/hed.24561 · Cited by 93
STAT3 regulates glycolysis via targeting hexokinase 2 in hepatocellular carcinoma cells
Li, M., Jin, R., Wang, W., Zhang, T., Sang, J., Li, N., Han, Q., Zhao, W., Li, C., & Liu, Z. (2017) · Oncotarget · doi:10.18632/oncotarget.15801 · Cited by 92
Dysregulated Fatty Acid Metabolism in Hepatocellular Carcinoma
Wang, M.-D., Han, J. S., Xing, H., Zhang, H., Li, Z., Liang, L., Li, C., Dai, S., Wu, M., Shen, F., et al. (2016) · Hepatic Oncology · doi:10.2217/hep-2016-0012 · Cited by 95
Zhu, Y., Li, T., da Silva, S. R., Lee, J. J., Lu, C., Eoh, H., Jung, J. U., & Gao, S. (2017) · mBio · doi:10.1128/mbio.01179-17 · Cited by 92
Glioblastoma Therapy in the Age of Molecular Medicine
Geraldo, L. H., Garcia, C., da Fonseca, A. C. C., Dubois, L. G., Spohr, T. C. L. D. S. E., Matias, D., Magalhães, E. S. D. C., do Amaral, R. F., da Rosa, B. G., Grimaldi, I., et al. (2018) · Trends in cancer · doi:10.1016/j.trecan.2018.11.002 · Cited by 93
Tripathi, P., Kamarajan, P., Somashekar, B. S., MacKinnon, N., Chinnaiyan, A. M., Kapila, Y. L., Rajendiran, T. M., & Ramamoorthy, A. (2012) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2012.06.025 · Cited by 93
CD39 and CD161 Modulate Th17 Responses in Crohn's Disease
Bai, A., Moss, A. C., Kokkotou, E. G., Usheva, A., Sun, X., Cheifetz, A. S., Zheng, Y., Longhi, M. S., Gao, W., Wu, Y., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1400346 · Cited by 92
mRNA Translation and Energy Metabolism in Cancer: The Role of the MAPK and mTORC1 PathwaysPreprint
Topisirović, I., & Sonenberg, N. (2011) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2011.76.010785 · Cited by 96
Gonçalves, E., Bucher, J., Ryll, A., Niklas, J., Mauch, K., Klamt, S., Rocha, M., & Sáez-Rodríguez, J. (2013) · Molecular BioSystems · doi:10.1039/c3mb25489e · Cited by 97
The mitochondrial permeability transition pore and its adaptive responses in tumor cells
Rasola, A., & Bernardi, P. (2014) · Cell Calcium · doi:10.1016/j.ceca.2014.10.003 · Cited by 99
Hopperton, K. E., Duncan, R. E., Bazinet, R. P., & Archer, M. C. (2013) · Experimental Cell Research · doi:10.1016/j.yexcr.2013.10.016 · Cited by 91
Clinical significance of T cell metabolic reprogramming in cancer
Herbel, C., Patsoukis, N., Bardhan, K., Seth, P., Weaver, J. D., & Boussiotis, V. A. (2016) · Clinical and Translational Medicine · doi:10.1186/s40169-016-0110-9 · Cited by 99
Sistigu, A., Modugno, F. D., Manic, G., & Nisticò, P. (2017) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2017.05.008 · Cited by 100
Nakashima, R., Gotö, Y., Koyasu, S., Kobayashi, M., Morinibu, A., Yoshimura, M., Hiraoka, M., Hammond, E. M., & Harada, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-06605-1 · Cited by 92
Li, L., Li, L., Li, W., Chen, T., Zou, B., Zhao, L., Wang, H., Wang, X., Xu, L., Liu, X., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07127-8 · Cited by 90
Self-citationIn cancer, all roads lead to NADPH
Rather, G. M., Pramono, A. A., Székely, Z., Bertino, J. R., & Tedeschi, P. M. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107864 · Cited by 91
Lansoprazole induces sensitivity to suboptimal doses of paclitaxel in human melanoma
Azzarito, T., Venturi, G., Cesolini, A., & Fais, S. (2014) · Cancer Letters · doi:10.1016/j.canlet.2014.10.017 · Cited by 91
Qian, X., Li, X., Tan, L., Lee, J.-H., Xia, Y., Cai, Q., Zheng, Y., Wang, H., Lorenzi, P. L., & Lu, Z. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0712 · Cited by 92
Kirsch, D. G., Diehn, M., Kesarwala, A. H., Maity, A. M., Morgan, M. A., Schwarz, J. K., Bristow, R. G., Demaria, S., Eke, I., Griffin, R. J., et al. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx231 · Cited by 96
Huang, Q., Wang, Q., Li, D., Xiao, W., Jia, Y., Zhang, Z., Ai, B., Cao, X., Guo, T., & Liao, Y. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1120-4 · Cited by 90
Regulators of glucose uptake in thyroid cancer cell lines
Heydarzadeh, S., Moshtaghie, A. A., Daneshpoor, M. S., & Hedayati, M. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-00586-x · Cited by 95
Molecular Crosstalk Between MYC and HIF in Cancer
Li, Y., Sun, X., Qian, D. Z., & Dai, M. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.590576 · Cited by 95
Reduced nicotinamide adenine dinucleotide phosphate in redox balance and diseases: a friend or foe?
Koju, N., Qin, Z., & Sheng, R. (2022) · Acta Pharmacologica Sinica · doi:10.1038/s41401-021-00838-7 · Cited by 97
Metadata
- Authors
- Cairns, R. A., Harris, I. S., & Mak, T. W.
- Corresponding author
- Mak, Tak W.
- Venue
- Nature Reviews Cancer
- Published
- 2011-01-24
- Volume
- 11
- Issue
- 2
- Pages
- 85-95
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W2028897202
- Semantic Scholar
- 9d36b5b10983f1aa90a9d9d5a7bcffe671b38257
- Cited by
- 4,744
- References
- 142
- Citations by year
- 2026: 95 · 2025: 192 · 2024: 234 · 2023: 276 · 2022: 293 · 2021: 418 · 2020: 423 · 2019: 386 · 2018: 386 · 2017: 414 · 2016: 399 · 2015: 387 · 2014: 318 · 2013: 251 · 2012: 192
- FWCI
- 19.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature reviews. Cancer (publishedVersion)
- PubMed (publishedVersion)
- 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
- cancer metabolism, Warburg effect, redox homeostasis, tumor microenvironment, carcinogenesis, central metabolic pathways
- MeSH terms
- Cell Transformation, Neoplastic, Humans, Neoplasms, Oxidation-Reduction, Transcription Factors, Signal Transduction, Gene Expression Regulation, Neoplastic, Intracellular Signaling Peptides and Proteins, Gene Regulatory Networks
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