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Cited by 499

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

The Warburg effect: 80 years on

Open access
Potter, Michelle, Newport, Emma, Morten, Karl J.·2016·Biochemical Society Transactions

Abstract

Influential research by Warburg and Cori in the 1920s ignited interest in how cancer cells' energy generation is different from that of normal cells. They observed high glucose consumption and large amounts of lactate excretion from cancer cells compared with normal cells, which oxidised glucose using mitochondria. It was therefore assumed that cancer cells were generating energy using glycolysis rather than mitochondrial oxidative phosphorylation, and that the mitochondria were dysfunctional. Advances in research techniques since then have shown the mitochondria in cancer cells to be functional across a range of tumour types. However, different tumour populations have different bioenergetic alterations in order to meet their high energy requirement; the Warburg effect is not consistent across all cancer types. This review will discuss the metabolic reprogramming of cancer, possible explanations for the high glucose consumption in cancer cells observed by Warburg, and suggest key experimental practices we should consider when studying the metabolism of cancer.

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Metadata

Authors
Potter, M., Newport, E., & Morten, K. J.
Venue
Biochemical Society Transactions
Published
2016-10-15
Volume
44
Issue
5
Pages
1499-1505
ISSN
  • 0300-5127 (ISSN-L)
  • 1470-8752
OpenAlex
W2537551256
Cited by
499
References
58
FWCI
12.49
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Warburg effect: 80 years on. https://app.cochat.ai/papers/10.1042/bst20160094
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Potter, M., Newport, E., & Morten, K. J. (2016). The Warburg effect: 80 years on. Biochemical Society Transactions. https://doi.org/10.1042/bst20160094

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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.