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Pyruvate into lactate and back: From the Warburg effect to symbiotic energy fuel exchange in cancer cells
Abstract
Tumor cells fuel their metabolism with glucose and glutamine to meet the bioenergetic and biosynthetic demands of proliferation. Hypoxia and oncogenic mutations drive glycolysis, with the pyruvate to lactate conversion being promoted by increased expression of lactate dehydrogenase A and inactivation of pyruvate dehydrogenase. The NAD+ pool is consecutively regenerated and supports the high glycolytic flux required to produce anabolic intermediates. Glutaminolysis provides metabolic intermediates such as alpha-ketoglutarate to feed and thereby maintain the tricarboxylic acid cycle as a biosynthetic hub. Glycolysis and glutaminolysis share the capacity to generate NADPH, from the pentose phosphate pathway and through the malate conversion into pyruvate, respectively. Both pathways ultimately lead to the secretion of lactate. More than a waste product, lactate was recently identified as a major energy fuel in tumors. Lactate produced by hypoxic tumor cells may indeed diffuse and be taken up by oxygenated tumor cells. Preferential utilization of lactate for oxidative metabolism spares glucose which may in turn reach hypoxic tumor cells. Monocarboxylate transporter 1 regulates the entry of lactate into oxidative tumor cells. Its inhibition favors the switch from lactate-fuelled respiration to glycolysis and consecutively kills hypoxic tumor cells from glucose starvation. Combination with radiotherapy renders remaining cells more sensitive to irradiation, emphasizing how interference with tumor cell metabolism may complement current anticancer modalities.
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“Pyruvate is converted to acetyl-CoA through mitochondrial pyruvate dehydrogenase (PDH), whereas acetate is transported into cells and converted to acetyl-CoA through acetyl-CoA synthase (De Schrijver et al., 2003; Feron, 2009; Koukourakis et al., 2005; Pizer et al., 1996; Yoshimoto et al., 2001; Zaidi et al., 2012).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Feron, 2009
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“pyruvate or acetate can act as an alternative source to glucose and glutamine for lipid biosynthesis.”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Feron, 2009
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Cites
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Targeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717
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
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
On Respiratory Impairment in Cancer Cells
Warburg, O. H. (1956) · Science · doi:10.1126/science.124.3215.269 · Cited by 3,472
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
DeBerardinis, R. J., Mancuso, A., Daikhin, E., Nissim, I., Yudkoff, M., Wehrli, S., & Thompson, C. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709747104 · Cited by 2,622
HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption
Papandreou, I., Cairns, R. A., Fontana, L., Lim, A. L., & Denko, N. C. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.012 · Cited by 2,267
Gao, P., Tchernyshyov, I., Chang, T.-C., Lee, Y.-S., Kita, K., Ochi, T., Zeller, K. I., De Marzo, A. M., Van Eyk, J. E., Mendell, J. T., et al. (2009) · Nature · doi:10.1038/nature07823 · Cited by 2,124
Ras, PI(3)K and mTOR signalling controls tumour cell growth
Shaw, R. J., & Cantley, L. C. (2006) · Nature · doi:10.1038/nature04869 · Cited by 2,019
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Pereira, S. L., Grãos, M., Rodrigues, A. S., Anjo, S. I., Carvalho, R. A., Oliveira, P. J., Arenas, E., & Ramalho‐Santos, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082095 · Cited by 81
Berrios, C. J., Padi, M., Keibler, M. A., Park, D. E., Vadim, M., Cheng, J., Lee, S. M., Stephanopoulos, G. N., Quackenbush, J. F., & DeCaprio, J. A. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1006020 · Cited by 79
EZH2 Inhibition: A Promising Strategy to Prevent Cancer Immune Editing
Kang, N., Eccleston, M., Clermont, P., Latarani, M., Male, D. K., Wang, Y. Z., & Crea, F. (2020) · Epigenomics · doi:10.2217/epi-2020-0186 · Cited by 79
Role of Modified Atmosphere in Pest Control and Mechanism of Its Effect on Insects
Cao, Y., Xu, K., Zhu, X.-Y., Bai, Y., Yang, W., & Li, C. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00206 · Cited by 76
Esteves, A. R., Lu, J., Rodova, M., Onyango, I. G., Lezi, E., Dubinsky, R., Lyons, K. E., Pahwa, R., Burns, J. M., Cardoso, S. M., et al. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06631.x · Cited by 79
Ristić, B., Bhutia, Y. D., & Ganapathy, V. (2017) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2017.05.003 · Cited by 75
Zhou, W., Xu, G., Wang, Y., Xu, Z., Liu, X., Xu, X., Ren, G., & Tian, K. (2017) · Cell Cycle · doi:10.1080/15384101.2016.1252882 · Cited by 76
Chen, H., Larson, P. E. Z., Bok, R., von Morze, C., Sriram, R., Santos, R. D., Santos, J. D., Gordon, J. W., Bahrami, N., Ferrone, M., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-2083 · Cited by 73
Draoui, N., Schicke, O., Fernandes, A. E., Drozak, X., Nahra, F., Dumont, A. O., Douxfils, J., Hermans, E., Dogné, J., Corbau, R., et al. (2013) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2013.09.010 · Cited by 72
Blatt, S., Voelxen, N., Sagheb, K., Pabst, A. M., Walenta, S., Schroeder, T., Mueller‐Klieser, W., & Ziebart, T. (2016) · Clinical Oral Investigations · doi:10.1007/s00784-015-1699-6 · Cited by 79
Biomarkers in bladder cancer: A metabolomic approach using in vitro and ex vivo model systems
Rodrigues, D., Jerónimo, C., Henrique, R., Belo, L., Bastos, M. D. L., de Pinho, P. G., & Carvalho, M. C. (2016) · International Journal of Cancer · doi:10.1002/ijc.30016 · Cited by 74
Singh, S., Narayanan, S. P., Biswas, K., Gupta, A., Ahuja, N., Yadav, S., Panday, R. K., Samaiya, A., Sharan, S. K., & Shukla, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708447114 · Cited by 73
Wu, S., Gu, L., Qin, J., Zhang, L., Sun, F., Liu, Z., Wang, Y., & Shi, D. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b16385 · Cited by 71
Akhigbe, R. E., Hamed, M. A., Odetayo, A. F., Akhigbe, T. M., Ajayi, A. F., & Ajibogun, F. A. H. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111975 · Cited by 71
Carvalho, T. M. A., Molfetta, D. D., Greco, M. R., Koltai, T., Alfarouk, K. O., Reshkin, S. J., & Cardone, R. A. (2021) · Cancers · doi:10.3390/cancers13236135 · Cited by 76
AMPK regulates metabolism and survival in response to ionizing radiation
Zannella, V. E., Cojocari, D., Hilgendorf, S., Vellanki, R. N., Chung, S., Wouters, B. G., & Koritzinsky, M. (2011) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2011.05.049 · Cited by 68
Metabolic Relationship between Cancer-Associated Fibroblasts and Cancer Cells
Sazeides, C., & Le, A. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-77736-8_11 · Cited by 73
Vaz, C. V., Marques, R., Alves, M. G., Oliveira, P. F., Cavaco, J. E. B., Maia, C. J., & Socorro, S. (2015) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-015-1992-4 · Cited by 70
Brown, N. J., Higham, S. E., Perunović, B., Arafa, M., Balasubramanian, S. P., & Rehman, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057697 · Cited by 68
Hur, H., Paik, M., Yi, X., Nguyen, D., Ham, I., Yun, J., Cho, Y. K., Lee, G., & Han, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098581 · Cited by 68
The Tumor Microenvironment—A Metabolic Obstacle to NK Cells’ Activity
Domagała, J., Lachota, M., Kłopotowska, M., Graczyk‐Jarzynka, A., Domagała, A., Zhylko, A., Soroczyńska, K., & Winiarska, M. (2020) · Cancers · doi:10.3390/cancers12123542 · Cited by 69
Aveseh, M., Nikooie, R., & Aminaie, M. (2015) · The Journal of Physiology · doi:10.1113/jp270463 · Cited by 67
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Chen, M., Xu, T., Song, L., Sun, T., Xu, Z., Zhao, Y., Du, P., Xiong, L. H., Yang, Z., Jing, J., et al. (2024) · Theranostics · doi:10.7150/thno.98884 · Cited by 66
Zhu, J., Wu, Y., Zhang, W., Zhang, X., Ding, X., Li, H., Geng, M., Xie, Z., & Wu, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087904 · Cited by 69
Lu, Y., Guo, H., Chen, X., & Zhang, Q. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255744 · Cited by 65
Cellular distributions of monocarboxylate transporters: a review
Iwanaga, T., & Kishimoto, A. (2015) · Biomedical Research · doi:10.2220/biomedres.36.279 · Cited by 65
Schroeder, U., Himpe, B., Pries, R., Vonthein, R., Nitsch, S., & Wollenberg, B. (2013) · Nutrition and Cancer · doi:10.1080/01635581.2013.804579 · Cited by 65
Toward precision medicine of breast cancer
Carels, N., Spinassé, L. B., Tilli, T. M., & Tuszyński, J. A. (2016) · Theoretical Biology and Medical Modelling · doi:10.1186/s12976-016-0035-4 · Cited by 65
Harada, K., Ferdous, T., Harada, T., & Ueyama, Y. (2016) · International Journal of Oncology · doi:10.3892/ijo.2016.3523 · Cited by 66
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Zhang, Y., Weng, J., Huan, L., Sheng, S., & Xu, F. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1165507 · Cited by 67
Laurenti, G., Benedetti, E., D’Angelo, B., Cristiano, L., Cinque, B., Raysi, S. D., Alecci, M., Cerù, M. P., Cifone, M. G., Galzio, R. J., et al. (2011) · Journal of Cellular Biochemistry · doi:10.1002/jcb.23323 · Cited by 68
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Cargill, K. R., Stewart, C. A., Park, E. M., Ramkumar, K., Gay, C. M., Cardnell, R. J., Wang, Q., Diao, L., Shen, L., Fan, Y.-H., et al. (2021) · Cancer & Metabolism · doi:10.1186/s40170-021-00270-9 · Cited by 62
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Pereira, S. L., Ramalho‐Santos, J., Branco, A. F., Sardão, V. A., Oliveira, P. J., & Carvalho, R. A. (2011) · Cardiovascular Toxicology · doi:10.1007/s12012-011-9112-4 · Cited by 62
Tumor metabolism regulating chemosensitivity in ovarian cancer
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Ogawa, H., Nagano, H., Konno, M., Eguchi, H., Koseki, J., Kawamoto, K., Nishida, N., Colvin, H. S., Tomokuni, A., Tomimaru, Y., et al. (2015) · Molecular and Clinical Oncology · doi:10.3892/mco.2015.490 · Cited by 61
Quantitative Analysis of the Physiological Contributions of Glucose to the TCA Cycle
Liu, S., Dai, Z., Cooper, D. E., Kirsch, D. G., & Locasale, J. W. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.09.005 · Cited by 61
Rethinking the biology of metastatic melanoma: a holistic approach
Vandyck, H. H., Hillen, L. M., Bosisio, F. M., van den Oord, J., Hausen, A. Z., & Winnepenninckx, V. J. L. (2021) · Cancer and Metastasis Reviews · doi:10.1007/s10555-021-09960-8 · Cited by 65
Localization of MCT 2 at peroxisomes is associated with malignant transformation in prostate cancer
Valença, I., Pértega‐Gomes, N., Vizcaino, J. R., Henrique, R., Lopes, C., Baltazar, F., & Ribeiro, D. (2015) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.12481 · Cited by 59
Apparent rate constant mapping using hyperpolarized [1– 13 C]pyruvate
Khegai, O., Schulte, R. F., Janich, M., Menzel, M. I., Farrell, E. V., Otto, A. M., Ardenkjær‐Larsen, J. H., Glaser, S. J., Haase, A., Schwaiger, M., et al. (2014) · NMR in Biomedicine · doi:10.1002/nbm.3174 · Cited by 58
Serum lactate dehydrogenase is predictive of persistent organ failure in acute pancreatitis
Cui, J., Xiong, J., Zhang, Y., Peng, T., Huang, M., Lin, Y., Guo, Y., Wu, H., & Wang, C. (2017) · Journal of Critical Care · doi:10.1016/j.jcrc.2017.05.001 · Cited by 58
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Kouznetsova, V. L., Kim, E., Romm, E. L., Zhu, A., & Tsigelny, I. F. (2019) · Metabolomics · doi:10.1007/s11306-019-1555-9 · Cited by 58
Diehl, K., Dinges, L.-A., Helm, O., Ammar, N., Plundrich, D., Arlt, A., Röcken, C., Sebens, S., & Schäfer, H. (2018) · Oncogene · doi:10.1038/onc.2017.299 · Cited by 58
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Yuk, I. H. Y., Zhang, J. D., Ebeling, M., Berrera, M., Gomez, N. V., Werz, S., Meiringer, C. T. A., Shao, Z., Swanberg, J. C., Lee, K. H., et al. (2014) · Biotechnology Progress · doi:10.1002/btpr.1868 · Cited by 57
Delgir, S., Bastami, M., Ilkhani, K., Safi, A., Seif, F., & Alivand, M. R. (2021) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2021.108366 · Cited by 60
Ni, X., Lu, C., Xu, G.-Q., & Ma, J. (2024) · Acta Pharmacologica Sinica · doi:10.1038/s41401-024-01264-1 · Cited by 56
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Lucchetti, D., Tenore, C. R., Colella, F., & Sgambato, A. (2020) · Cancers · doi:10.3390/cancers12010171 · Cited by 57
Mori, H., Yao, Y., Learman, B. S., Kurozumi, K., Ishida, J., Ramakrishnan, S. K., Overmyer, K. A., Xue, X., Cawthorn, W. P., Reid, M. A., et al. (2016) · Scientific Reports · doi:10.1038/srep21520 · Cited by 55
Marignac, V. L. M., Smith, S. E., Toban, N., Bazile, M., & Aloyz, R. S. (2013) · Oncotarget · doi:10.18632/oncotarget.1508 · Cited by 54
Hu, E., HE, J.-G., LIU, Z.-H., Ni, X., Zheng, Y., Gu, Q., Zhao, Z., & Xiong, C. (2015) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2015.2376 · Cited by 54
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Sriram, R., Criekinge, M. V., Hansen, A. F., Wang, Z. J., Vigneron, D. B., Wilson, D. M., Keshari, K. R., & Kurhanewicz, J. V. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3354 · Cited by 53
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Gillmaier, N., Götz, A., Schulz, A., Eisenreich, W., & Goebel, W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052378 · Cited by 53
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Läsche, M., Emons, G., & Gründker, C. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00409 · Cited by 55
Lin, L., Hsia, C.-R., Hsu, C., Huang, H., & Juan, H. (2015) · BMC Genomics · doi:10.1186/s12864-015-1230-0 · Cited by 53
Autophagic tumor stroma: Mechanisms and roles in tumor growth and progression
Zhao, X., He, Y., & Chen, H. (2012) · International Journal of Cancer · doi:10.1002/ijc.27664 · Cited by 54
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Grillon, E., Farion, R., Fablet, K., WAARD, M. M. D., Tse, C., Donowitz, M., Remy, C. C., & Coles, J. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017416 · Cited by 51
Das, U. B., Manna, K., Adhikary, A., Mishra, S., Saha, K. D., Sharma, R. D., Majumder, B., & Dey, S. (2019) · Free Radical Research · doi:10.1080/10715762.2019.1655559 · Cited by 50
Swerdlow, R. H. (2013) · British Journal of Pharmacology · doi:10.1111/bph.12394 · Cited by 51
Miranda‐Gonçalves, V., Lameirinhas, A., Macedo‐Silva, C., Lobo, J., Dias, P. C., Ferreira, V., Henrique, R., & Jerónimo, C. (2020) · Cells · doi:10.3390/cells9041053 · Cited by 48
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Liu, J., Hanavan, P. D., Kras, K. A., Ruiz, Y. W., Castle, E. P., Lake, D. F., Chen, X., O’Brien, D. R., Luo, H., Robertson, K. D., et al. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00628 · Cited by 48
Feng, Y., Liu, J., Guo, W., Guan, Y., Xu, H., Guo, Q., Song, X., Yi, F., Liu, T., Zhang, W., et al. (2018) · International Journal of Biological Sciences · doi:10.7150/ijbs.26077 · Cited by 47
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Qiu, H., & Schlegel, V. L. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nuy023 · Cited by 51
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Wang, H., Cheng, L., Ma, S., Ding, L., Zhang, W., Xu, Z., Li, D., & Gao, L. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c02006 · Cited by 47
Cancer and Exercise: Warburg Hypothesis, Tumour Metabolism and High-Intensity Anaerobic Exercise
Hofmann, P. (2018) · Sports · doi:10.3390/sports6010010 · Cited by 47
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Wang, Y., Qin, L., Chen, W., Chen, Q., Sun, J., & Wang, G. (2021) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2021.113806 · Cited by 45
Dehne, N., & Brüne, B. (2012) · Antioxidants and Redox Signaling · doi:10.1089/ars.2012.4776 · Cited by 44
Monteiro, M. S., Barros, A. S., Pinto, J., Carvalho, M. C., Luís, A. S., Henrique, R., Jerónimo, C., Bastos, M. D. L., Gil, A. M., & de Pinho, P. G. (2016) · Scientific Reports · doi:10.1038/srep37275 · Cited by 45
Shan, M., Dai, D. L., Vudem, A., Varner, J. D., & Stroock, A. D. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006584 · Cited by 47
Dong, X., Sun, L. Z., & Li, Y. (2020) · International Journal of Medical Sciences · doi:10.7150/ijms.47604 · Cited by 45
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Swerdlow, R. H. (2009) · Pharmaceuticals · doi:10.3390/ph2030150 · Cited by 43
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Kumar, R., Mishra, A., Gautam, P., Feroz, Z., Vijayaraghavalu, S., Likos, E., Shukla, G. C., & Kumar, M. (2022) · Cancers · doi:10.3390/cancers14215268 · Cited by 50
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Aerts, H. J. W. L., Lambin, P., & Ruysscher, D. D. (2010) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2010.05.001 · Cited by 43
Strickaert, A., Corbet, C., Spinette, S. A., Craciun, L., Dom, G., Andry, G., Larsimont, D., Wattiez, R., Dumont, J. E., Féron, O., et al. (2019) · Thyroid · doi:10.1089/thy.2018.0435 · Cited by 43
Strategies for active tumor targeting-an update
Vyas, D., Patel, M. N., & Wairkar, S. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174512 · Cited by 46
Kareva, I., & Berezovskaya, F. (2015) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2015.06.007 · Cited by 43
Noncoding RNAs in Regulation of Cancer Metabolic Reprogramming
Yang, D., Sun, L., Li, Z., & Gao, P. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-1498-7_7 · Cited by 42
Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy
Lin, G., Keshari, K. R., & Park, J. M. (2017) · Contrast Media & Molecular Imaging · doi:10.1155/2017/6053879 · Cited by 46
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Metadata
- Authors
- Feron, O.
- Venue
- Radiotherapy and Oncology
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 92
- Issue
- 3
- Pages
- 329-333
- ISSN
- 0167-8140 (ISSN-L)
- OpenAlex
- W2002922559
- Cited by
- 559
- References
- 38
- Citations by year
- 2026: 13 · 2025: 37 · 2024: 25 · 2023: 28 · 2022: 40 · 2021: 50 · 2020: 44 · 2019: 37 · 2018: 32 · 2017: 30 · 2016: 38 · 2015: 32 · 2014: 35 · 2013: 42 · 2012: 17
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiotherapy and Oncology (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Libraries (submittedVersion)
- Funders
- Fonds De La Recherche Scientifique - FNRS
- 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
- Warburg effect, cancer metabolism, lactate, pyruvate, glycolysis, glutaminolysis, NAD+ regeneration, NADPH, pentose phosphate pathway, MCT1, LDHA, pyruvate dehydrogenase, hypoxia, oxidative metabolism, TCA cycle, alpha-ketoglutarate, glucose deprivation, combined radiotherapy
- MeSH terms
- Cell Survival, Energy Metabolism, Glycolysis, Humans, NAD, NADP, Neoplasms, Oxidation-Reduction, Radiation Tolerance, Sensitivity and Specificity, Cell Hypoxia, Cell Death, Pyruvic Acid, Lactic Acid, Cell Line, Tumor
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