The DOI matches its Crossref record; 142 of the 142 references it cites were found in a registry or an index.
Regulation of cancer cell metabolism
Abstract
Interest in the topic of tumour metabolism has waxed and waned over the past century of cancer research. The early observations of Warburg and his contemporaries established that there are fundamental differences in the central metabolic pathways operating in malignant tissue. However, the initial hypotheses that were based on these observations proved inadequate to explain tumorigenesis, and the oncogene revolution pushed tumour metabolism to the margins of cancer research. In recent years, interest has been renewed as it has become clear that many of the signalling pathways that are affected by genetic mutations and the tumour microenvironment have a profound effect on core metabolism, making this topic once again one of the most intense areas of research in cancer biology.
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“One possible explanation for the observed difference between cSNVs and dbSNVs could be system-wide alterations in cancer cells, which are often characterized by increased replication stress, altered DNA repair mechanisms or changes in chromatin structure (85,86).”
From G-quadruplex-mediated genomic instability drives SNVs in cancer (2024) · cites this paper as [85]
In the citing paper
“Recent findings implicate TME in the induced metabolic rewiring in cancer cells (Cairns et al., 2011; Fiaschi and Chiarugi, 2012; Rattigan et al., 2012).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Cairns et al., 2011
In the citing paper
“Unlike normal cells, which derive most of their energy from mitochondrial oxidative phosphorylation, cancer cells rely on aerobic glycolysis as their primary energy resource. This process is recognized as the “Warburg effect”21–23.”
From RETRACTED ARTICLE: Fasting inhibits aerobic glycolysis and proliferation in colorectal cancer via the Fdft1-mediated AKT/mTOR/HIF1α pathway suppression (2020) · cites this paper as [22]
Citations
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
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Mitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
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
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
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
Stratton, M. R., Campbell, P. J., & Futreal, P. A. (2009) · Nature · doi:10.1038/nature07943 · Cited by 3,625
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Son, G., Lee, B. I., Chung, Y. J., & Park, C. B. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2017.11.048 · Cited by 81
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Xiao, D., Ren, P., Su, H., Yue, M., Xiu, R., Hu, Y., Liu, H., & Qing, G. (2015) · Oncotarget · doi:10.18632/oncotarget.5821 · Cited by 80
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Zhu, J., Ma, J., Wang, X., Ma, T., Zhang, S., Wang, W., Zhou, X., & Shi, J. (2016) · Translational Oncology · doi:10.1016/j.tranon.2016.08.003 · Cited by 75
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Li, X.-H., Chen, X.-J., Ou, W.-B., Zhang, Q., Lv, Z.-R., Zhan, Y., Ma, L., Huang, T., Yan, Y.-B., & Zhou, H.-M. (2013) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2013.02.003 · Cited by 74
Wang, C., Wan, X., Yu, T., Huang, Z., Shen, C., Qi, Q., Xiang, S., Chen, X., Arbely, E., Ling, Z.-Q., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108021 · Cited by 70
Song, Z., Wei, B., Lu, C., Li, P., & Chen, L. (2017) · Oncology Letters · doi:10.3892/ol.2017.6538 · Cited by 61
Metabolic Rewiring and Redox Alterations in Malignant Pleural Mesothelioma
Urso, L., Cavallari, I., Sharova, E., Ciccarese, F., Pasello, G., & Ciminale, V. (2020) · British Journal of Cancer · doi:10.1038/s41416-019-0661-9 · Cited by 47
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Deng, X., Xie, B., Li, Q., Xiao, Y., Hu, Z., Deng, X., Fang, P., Dong, C., Zhou, H.-B., & Huang, J. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.2c00525 · Cited by 43
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Fiorilla, I., Martinotti, S., Todesco, A. M., Bonsignore, G., Cavaletto, M., Patrone, M., Ranzato, E., & Audrito, V. (2023) · Cells · doi:10.3390/cells12162048 · Cited by 39
“In normal cells, most energy is derived via oxidative respiration (i.e., the tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS)).”
BackgroundInfluentialArihara, Y., Takada, K., Kamihara, Y., Hayasaka, N., Nakamura, H., Murase, K., Ikeda, H., Iyama, S., Sato, T., Miyanishi, K., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.19508 · Cited by 28
G-quadruplex-mediated genomic instability drives SNVs in cancer
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Characterization of mTOR Activity and Metabolic Profile in Pediatric Rhabdomyosarcoma
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Yehya, H., Wells, A., Majcher, M., Nakhwa, D., King, R., Senturk, F., Padmanabhan, R., Jensen, J., & Bukys, M. A. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03973-0 · Cited by 7
Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer
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Metadata
- Authors
- Cairns, R. A., Harris, I. S., & Mak, T. W.
- Corresponding author
- Mak, Tak W.
- Venue
- Nature Reviews Cancer
- Published
- 2011-01-24
- Volume
- 11
- Issue
- 2
- Pages
- 85-95
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W2028897202
- Semantic Scholar
- 9d36b5b10983f1aa90a9d9d5a7bcffe671b38257
- Cited by
- 4,744
- References
- 142
- Citations by year
- 2026: 95 · 2025: 192 · 2024: 234 · 2023: 276 · 2022: 293 · 2021: 418 · 2020: 423 · 2019: 386 · 2018: 386 · 2017: 414 · 2016: 399 · 2015: 387 · 2014: 318 · 2013: 251 · 2012: 192
- FWCI
- 19.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature reviews. Cancer (publishedVersion)
- PubMed (publishedVersion)
- 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
- cancer metabolism, Warburg effect, redox homeostasis, tumor microenvironment, carcinogenesis, central metabolic pathways
- MeSH terms
- Cell Transformation, Neoplastic, Humans, Neoplasms, Oxidation-Reduction, Transcription Factors, Signal Transduction, Gene Expression Regulation, Neoplastic, Intracellular Signaling Peptides and Proteins, Gene Regulatory Networks
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