The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Anticancer Targets in the Glycolytic Metabolism of Tumors: A Comprehensive Review
Open accessAbstract
CANCER IS A METABOLIC DISEASE AND THE SOLUTION OF TWO METABOLIC EQUATIONS: to produce energy with limited resources and to fulfill the biosynthetic needs of proliferating cells. Both equations are solved when glycolysis is uncoupled from oxidative phosphorylation in the tricarboxylic acid cycle, a process known as the glycolytic switch. This review addresses in a comprehensive manner the main molecular events accounting for high-rate glycolysis in cancer. It starts from modulation of the Pasteur Effect allowing short-term adaptation to hypoxia, highlights the key role exerted by the hypoxia-inducible transcription factor HIF-1 in long-term adaptation to hypoxia, and summarizes the current knowledge concerning the necessary involvement of aerobic glycolysis (the Warburg effect) in cancer cell proliferation. Based on the many observations positioning glycolysis as a central player in malignancy, the most advanced anticancer treatments targeting tumor glycolysis are briefly reviewed.
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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
Tumor angiogenesis: therapeutic implications
Sherwood, L. M., Parris, E. E., & Folkman, J. (1971) · New England Journal of Medicine · doi:10.1056/nejm197111182852108 · Cited by 10,187
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
Hypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
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
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
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×
“Regulation of HIF-1α expression involves its posttranslational hydroxylation at proline residues 402 and 564 (human sequence) by prolylhydroxylases (PHDs), among which PHD2 is the prominent physiological facilitator of the reaction (Ivan et al., 2001; Jaakkola et al., 2001; Berra et al., 2003).”
BackgroundThe metabolism of tumors in the body
Warburg, O., Wind, F., & Negelein, E. (1927) · Journal of General Physiology · doi:10.1085/jgp.8.6.519 · Cited by 4,416
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
Cited by
Emerging regulation and functions of autophagy
Boya, P., Reggiori, F., & Codogno, P. (2013) · Nature Cell Biology · doi:10.1038/ncb2788 · Cited by 1,216
Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review)
ZHENG, J. (2012) · Oncology Letters · doi:10.3892/ol.2012.928 · Cited by 963
BACH1 Stabilization by Antioxidants Stimulates Lung Cancer Metastasis
Wiel, C., Le Gal, K., Ibrahim, M. X., Jahangir, C. A., Kashif, M., Yao, H., Ziegler, D. V., Xu, X., Ghosh, T., Mondal, T., et al. (2019) · Cell · doi:10.1016/j.cell.2019.06.005 · Cited by 579
Understanding cachexia as a cancer metabolism syndrome
Porporato, P. E. (2016) · Oncogenesis · doi:10.1038/oncsis.2016.3 · Cited by 562
Self-citationLactate dehydrogenase a in cancer: A promising target for diagnosis and therapy: LDHA in Cancer
Miao, P., Sheng, S., Sun, X., Liu, J., & Huang, G. (2013) · IUBMB Life · doi:10.1002/iub.1216 · Cited by 422
Metadata
- Authors
- Porporato, P. E., Dhup, S., Dadhich, R. K., Copetti, T., & Sonveaux, P.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 2
- Pages
- 49-49
- ISSN
- 1663-9812 (ISSN-L)
- OpenAlex
- W2020993937
- Cited by
- 425
- References
- 194
- FWCI
- 11.48
- Type
- journal article
- Language
- en
- Open access
- gold
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