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Hypoxia-Inducible Factor-1α and the Glycolytic Phenotype in Tumors
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Metastatic tumors generally exhibit aerobic glycolysis (the Warburg effect). The advent of [18F]fluorodeoxyglucose positron emission tomography imaging, coupled with recent findings linking hypoxia-inducible factor (HIF-1alpha) overexpression to aggressive cancers, has rekindled an interest in this aspect of tumor metabolism. These studies explore the role of HIF-1alpha in human breast cancer lines and its relationship to glycolytic regulation. Here we demonstrate that, under normal oxygen conditions, nonmetastatic cells consume less glucose and express low HIF-1alpha, whereas metastatic cells constitutively express high glycolysis and HIF-1alpha, suggesting that dysregulation of HIF-1alpha may induce the Warburg effect. This hypothesis was tested by renormalizing HIF-1alpha levels in renal carcinoma cells, leading to inhibition of aerobic glycolysis.
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“It has been well-known since the early 2000s, that the HIF1α stabilization and the elevated HIF1α protein levels are characteristic for ∼50% of tumor cells under normoxia [35].”
From Hypoxia Signaling in Cancer: From Basics to Clinical Practice (2021) · cites this paper as [35]
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Cites
A new mathematical model for relative quantification in real-time RT-PCR
Pfaffl, M. W. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.9.e45 · Cited by 34,610
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Tumor Angiogenesis and Metastasis — Correlation in Invasive Breast Carcinoma
Weidner, N., Semple, J. P., Welch, W. R., & Folkman, J. (1991) · New England Journal of Medicine · doi:10.1056/nejm199101033240101 · Cited by 5,598
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
Maxwell, P. H., Wiesener, M. S., Chang, G.-W., Clifford, S. C., Vaux, E. C., Cockman, M. E., Wykoff, C. C., Pugh, C. W., Maher, E. R., & Ratcliffe, P. J. (1999) · Nature · doi:10.1038/20459 · Cited by 5,180
Targeting Hypoxia-Inducible Factors for the Treatment of Anemia in Chronic Kidney Disease Patients
Locatelli, F., Fishbane, S. N., Block, G. A., & Macdougall, I. C. (2017) · American Journal of Nephrology · doi:10.1159/000455166 · Cited by 4,836
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing
Ivan, M., Kondo, K., Yang, H., Kim, W., Valiando, J., Ohh, M., Salic, A., Asara, J. M., Lane, W. S., & Kaelin Jr., W. G. (2001) · Science · doi:10.1126/science.1059817 · Cited by 4,735 · cited 1×
“HIF-1a is constitutively expressed and destabilized in the presence of O2 by proline hydroxylation and is targeted for proteosomal degradation by the von Hippel-Lindau (vH-L) ubiquitin ligase [11–15].”
BackgroundActivation of vascular endothelial growth factor gene transcription by hypoxia-inducible factor 1
Forsythe, J. A., Jiang, B.-H., Iyer, N. V., Agani, F., Leung, S. W., Koos, R. D., & Semenza, G. L. (1996) · Molecular and Cellular Biology · doi:10.1128/mcb.16.9.4604 · Cited by 3,981
Semenza, G. L., & Wang, G. L. (1992) · Molecular and Cellular Biology · doi:10.1128/mcb.12.12.5447 · Cited by 2,617
Role of HIF-1α in hypoxia-mediated apoptosis, cell proliferation and tumour angiogenesis
Carmeliet, P., Dor, Y., Herbert, J.-M., Fukumura, D., Brusselmans, K., Dewerchin, M., Neeman, M., Bono, F., Abramovitch, R., Maxwell, P., et al. (1998) · Nature · doi:10.1038/28867 · Cited by 2,502
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Items 101–200 of 251
Lucas, J. E., Kung, H., & Chi, J. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000920 · Cited by 48
Melatonin and Pathological Cell Interactions: Mitochondrial Glucose Processing in Cancer Cells
Reiter, R. J., Sharma, R., Rosales‐Corral, S., Manucha, W. A., Chuffa, L. G. D. A., & Zuccari, D. A. P. D. C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212494 · Cited by 50
Luby, A., & Alves‐Guerra, M. (2021) · Cancers · doi:10.3390/cancers13235912 · Cited by 49
Metabolic reprogramming in type 2 diabetes and the development of breast cancer
Martin, S. D., & McGee, S. L. (2018) · Journal of Endocrinology · doi:10.1530/joe-18-0037 · Cited by 47
Adipose tissue dysfunction and its effects on tumor metabolism
Diedrich, J. D., Chkourko, H., & Podgorski, I. (2015) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2014-0045 · Cited by 47
Jiang, Z., Wang, X., Li, J., Yang, H., & Lin, X. (2018) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.13732 · Cited by 46
Xia, Y., Kang, T. W., Jung, Y. D., Zhang, C., & Lian, S. (2019) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.9b03027 · Cited by 46
Prospects for clinical cancer metabolomics using stable isotope tracers
Lane, A. N., Fan, T. W. ‐., Higashi, R. M., Tan, J., Bousamra, M., & Miller, D. M. (2009) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2009.01.005 · Cited by 46
Masoudi‐Nejad, A., & Asgari, Y. (2014) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2014.01.007 · Cited by 45
Targeting lactate production and efflux in prostate cancer
Pereira‐Nunes, A., Simoes‐Sousa, S., Pinheiro, C. M., Miranda‐Gonçalves, V., Granja, S., & Baltazar, F. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165894 · Cited by 43
Molecular imaging of angiogenesis
Neeman, M., Gilad, A. A., Dafni, H., & Cohen, B. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20774 · Cited by 43
Baker, L. C. J., Boult, J. K. R., Walker‐Samuel, S., Chung, Y.-L., Jamin, Y., Ashcroft, M. A., & Robinson, S. P. (2012) · British Journal of Cancer · doi:10.1038/bjc.2012.131 · Cited by 46
Dorow, D. S., Cullinane, C. M., Conus, N. M., Roselt, P. D., Binns, D., McCarthy, T. J., McArthur, G. A., & Hicks, R. J. (2006) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-005-0039-5 · Cited by 42
Diabetic complications and prospective immunotherapy
Reynolds, L., Luo, Z., & Singh, K. N. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1219598 · Cited by 46
Cell-seeded polyurethane-fibrin structures – A possible system for intervertebral disc regeneration
Mauth, C., Bono, E., Shokier, H. A. A., Paesold, G., Wiese, H., Maier, G., Boos, N., & Graf‐Hausner, U. (2009) · European Cells and Materials · doi:10.22203/ecm.v018a03 · Cited by 41
Xu, H. N., Kadlececk, S., Profka, H., Glickson, J. D., Rizi, R. R., & Li, L. Z. (2014) · Academic Radiology · doi:10.1016/j.acra.2013.11.014 · Cited by 41
Tumor stroma interaction is mediated by monocarboxylate metabolism
Patel, B. B., Ackerstaff, E., Serganova, I. S., Kerrigan, J. E., Blasberg, R. G., Koutcher, J. A., & Banerjee, D. (2017) · Experimental Cell Research · doi:10.1016/j.yexcr.2017.01.013 · Cited by 42
Datta, S., Choudhury, D., Das, A. K., Mukherjee, D. D., Das, N., Roy, S. S., & Chakrabarti, G. (2017) · Tumor Biology · doi:10.1177/1010428317694314 · Cited by 40
Intratumor lactate levels reflect HER2 addiction status in HER2‐positive breast cancer
Castagnoli, L., Iorio, E., Dugo, M., Koschorke, A., Faraci, S., Canese, R., Casalini, P., Nanni, P., Vernieri, C., Nicola, M. D., et al. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27049 · Cited by 39
Linking metabolism and epigenetic regulation in development of hepatocellular carcinoma
Puszyk, W. M., Trinh, T. L., Chapple, S. J., & Liu, C. (2013) · Laboratory Investigation · doi:10.1038/labinvest.2013.94 · Cited by 38
Curbing cancer's sweet tooth: Is there a role for MnSOD in regulation of the Warburg effect?
Holley, A. K., Dhar, S. K., & Clair, D. K. S. (2012) · Mitochondrion · doi:10.1016/j.mito.2012.07.104 · Cited by 39
Tandon, M., Chen, Z., Othman, A. H., & Pratap, J. (2016) · Oncogene · doi:10.1038/onc.2015.518 · Cited by 41
Marín‐Hernández, Á., Gallardo‐Pérez, J. C., López‐Ramírez, S. Y., García-García, J. D., Rodríguez‐Zavala, J. S., Ruíz-Azuara, L., Gracia‐Mora, I., Zentella‐Dehesa, A., Sosa‐Garrocho, M., Macías‐Silva, M., et al. (2012) · Archives of Toxicology · doi:10.1007/s00204-012-0809-3 · Cited by 36
Hypoxia-regulated microRNAs: the molecular drivers of tumor progression
Sawai, S., Wong, P., & Ramasamy, T. S. (2022) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409238.2022.2088684 · Cited by 34
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Schömel, N., Hancock, S. E., Gruber, L., Olzomer, E. M., Byrne, F. L., Shah, D. P., Hoehn, K. L., Turner, N. A., Grösch, S., Geißlinger, G., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-52169-7 · Cited by 35
Li, Y., Han, X., Lin, Z., Wang, C., Fu, Z., Sun, Q., & Li, C. (2023) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-023-04810-y · Cited by 34
Immune checkpoint inhibitors in metastatic melanoma therapy (Review)
Shah, V., Panchal, V. S., Shah, A., Vyas, B., Agrawal, S. P., & Bharadwaj, S. P. (2024) · Medicine International · doi:10.3892/mi.2024.137 · Cited by 37
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Chang, C., Wu, C.-W., & Chern, Y. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106672 · Cited by 37
Lamas, B., Nachat, R., Gonçalves-Mendes, N., Mishellany, F., Rossary, A., Vasson, M., & Farges, M. (2013) · Molecular Carcinogenesis · doi:10.1002/mc.22074 · Cited by 34
Deciphering the molecular basis of breast cancer metastasis with mouse models
Vernon, A. E., Bakewell, S. J., & Chodosh, L. A. (2007) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-007-9041-5 · Cited by 34
Mansouri, S., Shahriari, A., Kalantar, H., Zanjani, T. M., & Karamallah, M. H. (2017) · Biomedical Reports · doi:10.3892/br.2017.873 · Cited by 34
Non-Invasive, Simultaneous Quantification of Vascular Oxygenation and Glucose Uptake in Tissue
Rajaram, N., Reesor, A. F., Mulvey, C. S., Frees, A. E., & Ramanujam, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117132 · Cited by 33
Xanthohumol suppresses glioblastoma via modulation of Hexokinase 2 -mediated glycolysis
Yuan, J., Peng, G., Xiao, G., Yang, Z., Huang, J., Liu, Q., Yang, Z., & Liu, D. (2020) · Journal of Cancer · doi:10.7150/jca.33045 · Cited by 33
Zeng, L., Zhou, H.-Y., Tang, N., Zhang, W., He, G., Bo, H., Feng, Y., & Zhu, H. Y. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i20.4868 · Cited by 30
Zhao, Y., Shen, L., Chen, X., Qian, Y., Zhou, Q., Wang, Y. X., Li, K., Liu, M., Zhang, S., & Huang, X. (2015) · PubMed · doi:10.14670/hh-11-627 · Cited by 29
Majeed, R., & Hamid, A. (2012) · Journal of Cancer Science & Therapy · doi:10.4172/1948-5956.1000156 · Cited by 28
Hyperlipidemia and hyper glycaemia in BreastCancer Patients is related to disease stage
Raza, U., Asif, M. R., Rehman, A. B., & Sheikh, A. (2018) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.341.14841 · Cited by 28
Gillespie, D. L., Aguirre, M. T., Ravichandran, S., Leishman, L. L., Berrondo, C., Gamboa, J. T., Wang, L., King, R., Wang, X., Tan, M., et al. (2014) · Journal of neurosurgery · doi:10.3171/2014.10.jns132363 · Cited by 27
Wu, T.-N., Chen, H.-M., & Shyur, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413571 · Cited by 29
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Barone, A., d’Avanzo, N., Cristiano, M. C., Paolino, D., & Fresta, M. (2022) · Biomedicines · doi:10.3390/biomedicines10061252 · Cited by 26
Hydrogen Peroxide Regulates the Mitochondrial Content of Uncoupling Protein 5 in Colon Cancer Cells
Santandreu, F. M., Valle, A., de Mattos, S. F., Roca, P., & Oliver, J. (2009) · Cellular Physiology and Biochemistry · doi:10.1159/000257430 · Cited by 26
Pfeiffenberger, M., Bartsch, J., Hoff, P., Ponomarev, I., Barnewitz, D., Thöne‐Reineke, C., Buttgereit, F., Gaber, T., & Lang, A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214276 · Cited by 25
Synthesis of Indomorphan Pseudo‐Natural Product Inhibitors of Glucose Transporters GLUT‐1 and ‐3
Ceballos, J., Schwalfenberg, M., Karageorgis, G., Reckzeh, E. S., Sievers, S., Ostermann, C., Pahl, A., Sellstedt, M., Nowacki, J., Corrales, M. A. C., et al. (2019) · Angewandte Chemie · doi:10.1002/ange.201909518 · Cited by 25
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Yehuda‐Shnaidman, E., Nimri, L., Tarnovscki, T., Kirshtein, B., Rudich, A., & Schwartz, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074843 · Cited by 26
Galiè, M., Farace, P., Nanni, C., Spinelli, A. E., Nicolato, E., Boschi, F., Magnani, P., Trespidi, S., Ambrosini, V., Fanti, S., et al. (2007) · Neoplasia · doi:10.1593/neo.07541 · Cited by 25
Zhou, T., Wan, X., Zhang, M., Liu, D., Huang, L., Xing, L., Wang, Y., & Jiang, H. (2023) · Biomaterials · doi:10.1016/j.biomaterials.2023.122205 · Cited by 24
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McCarty, M. F. (2013) · Medical Hypotheses · doi:10.1016/j.mehy.2013.07.023 · Cited by 22
Jiang, Z., Yang, H., Zhang, X., Wang, Z., Rong, R., & Wang, X. (2018) · Human Pathology · doi:10.1016/j.humpath.2018.10.031 · Cited by 21
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Sarangarajan, R., & Apte, S. (2008) · Humana Press eBooks · doi:10.1007/978-1-59745-435-3 · Cited by 20
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McCarty, M. F., Barroso-Aranda, J., & Contreras, F. (2010) · Medical Hypotheses · doi:10.1016/j.mehy.2009.12.022 · Cited by 21
Visagie, M. H., Mqoco, T. V., Liebenberg, L., Mathews, E. H., Mathews, G. E., & Joubert, A. M. (2015) · Cell & Bioscience · doi:10.1186/s13578-015-0030-1 · Cited by 20
Guerrab, A. E., Cayre, A., Kwiatkowski, F., Privat, M., Rossignol, J.-M., Rossignol, F., Penault-Llorca, F. M., & Bignon, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175960 · Cited by 19
Patiño, C. E. H., Jaime-Muñoz, G., & Reséndis-Antonio, O. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2012.00481 · Cited by 20
Villa, C., Chaplain, M. A. J., & Lorenzi, T. (2020) · Vietnam Journal of Mathematics · doi:10.1007/s10013-020-00445-9 · Cited by 21
Herst, P. M., Hesketh, E. L., Ritchie, D. S., & Berridge, M. V. (2007) · Leukemia Research · doi:10.1016/j.leukres.2007.04.014 · Cited by 20
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van Gisbergen, M. W., Zwilling, E., & Dubois, L. J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.653621 · Cited by 20
Abyaneh, H. S., Soleimani, A., Vakili, M. R., Soudy, R., Kaur, K., Cuda, F., Tavassoli, A., & Lavasanifar, A. (2018) · Pharmaceutics · doi:10.3390/pharmaceutics10040196 · Cited by 19
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Hargadon, K. M., Goodloe, T. B., & Lloyd, N. D. (2022) · Cancer and Metastasis Reviews · doi:10.1007/s10555-022-10045-3 · Cited by 18
Samra, Y. A., Zaidi, Y., Rajpurohit, P., Raghavan, R., Cai, L., Kaddour‐Djebbar, I., & Tawfik, A. M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021071 · Cited by 18
Tsai, I., Kuo, T.-C., Ho, T., Harn, Y., Wang, S., Fu, W., Kuo, C., & Tseng, Y. J. (2013) · Cancers · doi:10.3390/cancers5020491 · Cited by 18
ZnCl2 sustains the adriamycin-induced cell death inhibited by high glucose
Garufi, A., Trisciuoglio, D., Cirone, M., & D’Orazi, G. (2016) · Cell Death and Disease · doi:10.1038/cddis.2016.178 · Cited by 18
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Han, J. E., Lim, P. W., Na, C. M., Choi, Y. S., Lee, J. Y., Kim, Y., Park, H. W., Moon, H. E., Heo, M. S., Park, H. R., et al. (2017) · Experimental Neurobiology · doi:10.5607/en.2017.26.5.295 · Cited by 18
Pacheco-Velázquez, S. C., Ortega-Mejia, I. I., Vargas-Navarro, J. L., Padilla-Flores, J. A., Robledo‐Cadena, D. X., Tapia-Martínez, G., Castro, I. P., Aguilar-Ponce, J. L., Granados-Rivas, J. C., Moreno‐Sánchez, R., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1018137 · Cited by 16
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Moreno‐Sánchez, R., Robledo‐Cadena, D. X., Pacheco-Velázquez, S. C., Vargas-Navarro, J. L., Padilla-Flores, J. A., & Rodríguez‐Enríquez, S. (2023) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2023.109559 · Cited by 16
Abyar, S., Huang, L., Husiev, Y., Bretin, L., Chau, B., Ramu, V., Wildeman, J., Belfor, K., Wijaya, L. S., van der Noord, V. E., et al. (2024) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.4c00589 · Cited by 14
Zhao, C., Li, Y., Shao, L., Wang, X., Lu, J., Li, X., Chen, L., Cui, X., Sheng, W., Deng, X., et al. (2019) · Materials Chemistry Frontiers · doi:10.1039/c9qm00270g · Cited by 16
Koçdor, M. A., Koçdor, H., Pereira, J. S., Vanegas, J. E., Russo, I. H., & Russo, J. (2012) · Clinical & Translational Oncology · doi:10.1007/s12094-012-0882-3 · Cited by 16
Catherino, W. H., Mayers, C. M., Mantzouris, T., Armstrong, A. Y., Linehan, W. M., & Segars, J. H. (2007) · Fertility and Sterility · doi:10.1016/j.fertnstert.2006.11.198 · Cited by 16
Powell, B. H., Turchinovich, A. A., Wang, Y., Gololobova, O. A., Buschmann, D., Zeiger, M. A., Umbricht, C. B., & Witwer, K. W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054507 · Cited by 14
Fang, J., Luo, X.-M., Yao, H.-T., Zhou, S.-H., Ruan, L.-X., & Yan, S.-X. (2010) · Journal of International Medical Research · doi:10.1177/147323001003800632 · Cited by 14
Cellular energetics as a target for tumor cell elimination
Maximchik, P. V., Kulikov, A. V., Zhivotovsky, B., & Gogvadze, V. G. (2016) · Biochemistry (Moscow) · doi:10.1134/s0006297916020012 · Cited by 16
Vincent, M. D. (2006) · Medical Hypotheses · doi:10.1016/j.mehy.2005.11.005 · Cited by 14
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Zare, M. E., Kansestani, A. N., Hemmati, S., Mansouri, K., & Vaisi‐Raygani, A. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00774-7 · Cited by 13
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Lou, K., Feng, S., Luo, H., Zou, J., Zhang, G., & Zou, X. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1097074 · Cited by 15
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Gillespie, D. L., Flynn, J. R., Ragel, B. T., Arce-Larreta, M., Kelly, D. A., Tripp, S. R., & Jensen, R. L. (2008) · Methods in molecular biology · doi:10.1007/978-1-60327-547-7_14 · Cited by 12
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Vanstraelen, S., Jones, D. R., & Rocco, G. (2023) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2023.02.029 · Cited by 11
Oxidative Phosphorylation and Cancer: The Ongoing Warburg Hypothesis
Ristow, M., & Cuezva, J. M. (2008) · Humana Press eBooks · doi:10.1007/978-1-59745-435-3_1 · Cited by 11
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Dias, A. S., Almeida, C. R., Helguero, L. A., & Duarte, I. F. (2023) · Cancers · doi:10.3390/cancers15041211 · Cited by 12
Zhou, R., Li, S., Mei, X., Jiang, T., & Wang, Q. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15929 · Cited by 11
Wood, E. G., Macdougall, C. E., Blythe, H. C., Clément, M., Colas, R. A., Dalli, J., Marelli‐Berg, F. M., & Longhi, M. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-77793-6 · Cited by 11
One-stop-shop tumor imaging: buy hypoxia, get lactate free
Manzoor, A. A., Schroeder, T., & Dewhirst, M. W. (2008) · Journal of Clinical Investigation · doi:10.1172/jci35543 · Cited by 11
Kenney, R. M., Lee, M. C., Boyce, M. W., Sitte, Z. R., & Lockett, M. R. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c05201 · Cited by 10
Spinicci, K., Jacquet, P., Powathil, G., & Stéphanou, A. (2022) · Computational and Systems Oncology · doi:10.1002/cso2.1040 · Cited by 10
Multiscale modeling of tumor adaption and invasion following anti‐angiogenic therapy
Cess, C. G., & Finley, S. D. (2022) · Computational and Systems Oncology · doi:10.1002/cso2.1032 · Cited by 9
Imaging Sensitivity of Quiescent Cancer Cells to Metabolic Perturbations in Bone Marrow Spheroids
Cavnar, S. P., Xiao, A., Gibbons, A. E., Rickelmann, A. D., Neely, T., Luker, K. E., Takayama, S., & Luker, G. D. (2016) · Tomography · doi:10.18383/j.tom.2016.00157 · Cited by 10
Jiang, J., Roman, J., Xu, H. N., & Li, L. Z. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-48238-1_26 · Cited by 8
Sanchez-Aranguren, L. C., Grubliauskiene, M., Shokr, H., Balakrishnan, P., Wang, K., Ahmad, S., & Marwah, M. K. (2022) · Antioxidants · doi:10.3390/antiox11112092 · Cited by 9
Han, S., Oh, J. S., & Kim, J. S. (2020) · Annals of Nuclear Medicine · doi:10.1007/s12149-020-01537-9 · Cited by 8
Expression analysis of HIF-3α as a potent prognostic biomarker in various types of human cancers
Yazdani, B., & Sirous, H. (2022) · Research in Pharmaceutical Sciences · doi:10.4103/1735-5362.355210 · Cited by 8
Hazem, R. M., Aboslema, R. F., Mehanna, E. T., Kishk, S. M., Elsayed, M. O. K., & El-Sayed, N. M. (2023) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2023.110672 · Cited by 7
Chen, F., Zhao, B., Tian, Y., Liu, Q., & Zhang, B. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152079 · Cited by 7
Prideaux, M., Palmier, M., Kitase, Y., Sone, Y., Bonewald, L. F., & O’Connell, T. M. (2025) · Bone · doi:10.1016/j.bone.2025.117694 · Cited by 12
Ou, Z., Wang, K., Shen, W.-W., Deng, G., Xu, Y., Wang, L.-F., Zai, Z., Ling, Y., Zhang, T., Peng, X., et al. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115458 · Cited by 7
Electroshock therapy and multiple sclerosis.
Savitsky, N., & Karliner, W. (1951) · PubMed · Cited by 7
HypoxamiRs in pancreatic cancer: master regulators of the hypoxic tumor microenvironment
Sangani, P. S., Maharati, A., Payami, B., Aliakbarian, M., & Abbaszadegan, M. R. (2025) · Cell Biology and Toxicology · doi:10.1007/s10565-025-10092-w · Cited by 6
Jacquet, P., & Stéphanou, A. (2023) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2023.111434 · Cited by 6
Emerging applications of extracellular vesicles in tumor therapy
Luo, H., Jin, J., Jin, J., Lou, K., He, H., Feng, S., Zeng, F., & Zou, J. (2023) · Cancer Nanotechnology · doi:10.1186/s12645-023-00217-3 · Cited by 6
The Warburg Effect and Beyond: Metabolic Dependencies for Cancer Cells
Hockenbery, D. M., Tom, M. F., Abikoff, C., & Margineantu, D. H. (2012) · Springer eBooks · doi:10.1007/978-1-4614-5847-0_2 · Cited by 6
Metadata
- Authors
- Robey, I. F., Lien, A. D., Welsh, S. J., Baggett, B. K., & Gillies, R. J.
- Affiliations
- University of Arizona Cancer Center (US)
- Corresponding author
- Gillies, Robert J.
- Venue
- Neoplasia
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 7
- Issue
- 4
- Pages
- 324-330
- ISSN
- 1476-5586 (ISSN-L)
- PMC
- PMC1501147
- OpenAlex
- W2088715496
- Cited by
- 251
- References
- 45
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 9 · 2023: 16 · 2022: 14 · 2021: 15 · 2020: 10 · 2019: 16 · 2018: 7 · 2017: 8 · 2016: 6 · 2015: 10 · 2014: 15 · 2013: 14 · 2012: 9
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neoplasia (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01-CA77575, R01CA077575, R01-CA77975-05)
- 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 › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- hypoxia-inducible factor-1α, aerobic glycolysis, Warburg effect, cancer metabolism, metastasis, breast cancer cell lines, renal carcinoma cells, glucose utilization, glycolytic regulation, HIF-1α overexpression
- MeSH terms
- Hypoxia, Glucose, Glycolysis, Humans, Lactates, Neoplasms, Phenotype, Time Factors, Transcription Factors, Blotting, Western, Gene Expression Regulation, Neoplastic, DNA Primers, Reverse Transcriptase Polymerase Chain Reaction, Cell Line, Tumor, Hypoxia-Inducible Factor 1, alpha Subunit
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