The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review)
Open accessAbstract
Metabolic activities in normal cells rely primarily on mitochondrial oxidative phosphorylation (OXPHOS) to generate ATP for energy. Unlike in normal cells, glycolysis is enhanced and OXPHOS capacity is reduced in various cancer cells. It has long been believed that the glycolytic phenotype in cancer is due to a permanent impairment of mitochondrial OXPHOS, as proposed by Otto Warburg. This view is challenged by recent investigations which find that the function of mitochondrial OXPHOS in most cancers is intact. Aerobic glycolysis in many cancers is the combined result of various factors such as oncogenes, tumor suppressors, a hypoxic microenvironment, mtDNA mutations, genetic background and others. Understanding the features and complexity of the cancer energy metabolism will help to develop new approaches in early diagnosis and effectively target therapy of cancer.
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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
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Otto Warburg's contributions to current concepts of cancer metabolism
Koppenol, W. H., Bounds, P. L., & Dang, C. V. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3038 · Cited by 3,427
Aerobic glycolysis: Meeting the metabolic requirements of cell proliferation
Lunt, S. Y., & Vander Heiden, M. G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154237 · Cited by 3,057
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
Cancer cell metabolism: warburg and beyond
Hsu, P. P., & Sabatini, D. M. (2008) · Cell · doi:10.1016/j.cell.2008.08.021 · Cited by 2,452
Hypoxia-inducible factors and the response to hypoxic stress
Majmundar, A. J., Wong, W. J., & Simon, M. C. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.022 · Cited by 2,380
Tumor cell metabolism: cancer's Achilles' heel
Kroemer, G., & Pouyssegur, J. (2008) · Cancer Cell · doi:10.1016/j.ccr.2008.05.005 · Cited by 2,337
Brain energy metabolism: focus on Astrocyte-neuron metabolic cooperation
Bélanger, M., Allaman, I., & Magistretti, P. J. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.08.016 · Cited by 2,313
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
Cited by
Loh, C.-Y., Chai, J., Tang, T., Wong, W., Sethi, G., Shanmugam, M., Chong, P., & Looi, C. (2019) · Cells · doi:10.3390/cells8101118 · Cited by 1,315
Metabolic Reprogramming: the Emerging Concept and Associated Therapeutic Strategies
Yoshida, G. J. (2015) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-015-0221-y · Cited by 716
Altered metabolism in cancer: insights into energy pathways and therapeutic targets
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The PI3K/Akt Pathway and Glucose Metabolism: A Dangerous Liaison in Cancer
Fontana, F., Giannitti, G., Marchesi, S., & Limonta, P. (2024) · International Journal of Biological Sciences · doi:10.7150/ijbs.89942 · Cited by 280
Zhang, L., Yao, Y., Zhang, S., Liu, Y., Guo, H., Ahmed, M., Bell, T., Zhang, H., Han, G., Lorence, E., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau1167 · Cited by 233
Metadata
- Authors
- ZHENG, J.
- Venue
- Oncology Letters
- Publisher
- Spandidos Publications
- Published
- 2012
- Volume
- 4
- Issue
- 6
- Pages
- 1151-1157
- ISSN
- 1792-1074 (ISSN-L)
- 1792-1082
- OpenAlex
- W2026198465
- Cited by
- 963
- References
- 78
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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