The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Metabolic symbiosis in cancer: Refocusing the Warburg lens
Open accessAbstract
Using relatively primitive tools in the 1920s, Otto Warburg demonstrated that tumor cells show an increased dependence on glycolysis to meet their energy needs, regardless of whether they were well‐oxygenated or not. High rates of glucose uptake, fueling glycolysis, are now used clinically to identify cancer cells. However, the Warburg effect does not account for the metabolic diversity that has been observed amongst cancer cells nor the influences that might direct such diversity. Modern tools have shown that the oncogenes, variable hypoxia levels, and the utilization of different carbon sources affect tumor evolution. These influences may produce metabolic symbiosis, in which lactate from a hypoxic, glycolytic tumor cell population fuels ATP production in the oxygenated region of a tumor. Lactate, once considered a waste product of glycolysis, is an important metabolite for oxidative phosphorylation in many tissues. While much is known about how muscle and the brain use lactate in oxidative phosphorylation, the contribution of lactate in tumor bioenergetics is less defined. A refocused perspective of cancer metabolism that recognizes metabolic diversity within a tumor offers novel therapeutic targets by which cancer cells may be starved from their fuel sources, and thereby become more sensitive to traditional cancer treatments. © 2012 Wiley Periodicals, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
AKT/PKB signaling: navigating downstream
Manning, B. D., & Cantley, L. C. (2007) · Cell · doi:10.1016/j.cell.2007.06.009 · Cited by 6,115
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
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
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
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017
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
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
Ward, P. S., Patel, J., Wise, D. R., Abdel-Wahab, O., Bennett, B. D., Coller, H. A., Cross, J. R., Fantin, V. R., Hedvat, C. V., Perl, A. E., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.01.020 · Cited by 2,020
Mitochondrial metabolism and ROS generation are essential for Kras-mediated tumorigenicity
Weinberg, F., Hamanaka, R., Wheaton, W. W., Weinberg, S., Joseph, J., Lopez, M., Kalyanaraman, B., Mutlu, G. M., Budinger, G. R. S., & Chandel, N. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003428107 · Cited by 1,742
p53 Regulates Mitochondrial Respiration
Matoba, S., Kang, J.-G., Patino, W. D., Wragg, A., Boehm, M., Gavrilova, O., Hurley, P. J., Bunz, F., & Hwang, P. M. (2006) · Science · doi:10.1126/science.1126863 · Cited by 1,650
Fantin, V. R., St-Pierre, J., & Leder, P. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.04.023 · Cited by 1,635
(1992) · PubMed Central · doi:10.2967/jnumed.120.251744a · Cited by 1,172
The oncometabolite 2-hydroxyglutarate inhibits histone lysine demethylases
Chowdhury, R., Yeoh, K. K., Tian, Y., Hillringhaus, L., Bagg, E. A., Rose, N. R., Leung, I. K. H., Li, X. S., Woon, E. C. Y., Yang, M., et al. (2011) · The EMBO Reports · doi:10.1038/embor.2011.43 · Cited by 1,035 · cited 1×
“This unique metabolite has been shown to help drive genome wide epigenetic changes by altering histone lysine demethylases [63,64].”
BackgroundGlucose Deprivation Contributes to the Development of KRAS Pathway Mutations in Tumor Cells
Yun, J., Rago, C., Cheong, I., Pagliarini, R., Angenendt, P., Rajagopalan, H., Schmidt, K., Willson, J. K. V., Markowitz, S., Zhou, S., et al. (2009) · Science · doi:10.1126/science.1174229 · Cited by 914
Profiling the effects of isocitrate dehydrogenase 1 and 2 mutations on the cellular metabolome
Reitman, Z. J., Jin, G., Karoly, E. D., Spasojevic, I., Yang, J., Kinzler, K. W., He, Y., Bigner, D. D., Vogelstein, B., & Yan, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019393108 · Cited by 449
Hashimoto, T., Hussien, R., Cho, H.-S., Kaufer, D., & Brooks, G. A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002915 · Cited by 196
Migneco, G., Whitaker-Menezes, D., Chiavarina, B., Castello-Cros, R., Pavlides, S., Pestell, R. G., Fatatis, A., Flomenberg, N., Tsirigos, A., Howell, A., et al. (2010) · Cell Cycle · doi:10.4161/cc.9.12.11989 · Cited by 153
Cited by
pH sensing and regulation in cancer
Damaghi, M., Wojtkowiak, J. W., & Gillies, R. J. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00370 · Cited by 536
Lactate promotes glutamine uptake and metabolism in oxidative cancer cells
Pérez-Escuredo, J., Dadhich, R. K., Dhup, S., Cacace, A., Van Hée, V. F., De Saedeleer, C. J., Sboarina, M., Rodriguez, F., Fontenille, M.-J., Brisson, L., et al. (2016) · Cell Cycle · doi:10.1080/15384101.2015.1120930 · Cited by 231
Allen, E., Miéville, P., Warren, C. M., Saghafinia, S., Li, L., Peng, M.-W., & Hanahan, D. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.029 · Cited by 221
Contribution of adipose tissue to development of cancer
Cozzo, A. J., Fuller, A. M., & Makowski, L. (2017) · Comprehensive Physiology · doi:10.1002/cphy.c170008 · Cited by 188
Casinelli, G., LaRosa, J., Sharma, M., Cherok, E., Banerjee, S., Branca, M., Edmunds, L., Wang, Y., Sims-Lucas, S., Churley, L., et al. (2016) · Cell Death Discovery · doi:10.1038/cddiscovery.2016.82 · Cited by 52
Metadata
- Authors
- Nakajima, E. C., & Van Houten, B.
- Venue
- Molecular Carcinogenesis
- Publisher
- Wiley
- Published
- 2012-01-06
- Volume
- 52
- Issue
- 5
- Pages
- 329-337
- ISSN
- 0899-1987 (ISSN-L)
- 1098-2744
- OpenAlex
- W2066520032
- Cited by
- 176
- References
- 17
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.