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Cited by 502

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

New aspects of amino acid metabolism in cancer

Open access
Vettore, Lisa, Westbrook, Rebecca L., Tennant, Daniel A.·2020·British Journal of Cancer

Abstract

An abundant supply of amino acids is important for cancers to sustain their proliferative drive. Alongside their direct role as substrates for protein synthesis, they can have roles in energy generation, driving the synthesis of nucleosides and maintenance of cellular redox homoeostasis. As cancer cells exist within a complex and often nutrient-poor microenvironment, they sometimes exist as part of a metabolic community, forming relationships that can be both symbiotic and parasitic. Indeed, this is particularly evident in cancers that are auxotrophic for particular amino acids. This review discusses the stromal/cancer cell relationship, by using examples to illustrate a number of different ways in which cancer cells can rely on and contribute to their microenvironment – both as a stable network and in response to therapy. In addition, it examines situations when amino acid synthesis is driven through metabolic coupling to other reactions, and synthesis is in excess of the cancer cell’s proliferative demand. Finally, it highlights the understudied area of non-proteinogenic amino acids in cancer metabolism and their potential role.

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Metadata

Authors
Vettore, L., Westbrook, R. L., & Tennant, D. A.
Venue
British Journal of Cancer
Published
2019-12-10
Volume
122
Issue
2
Pages
150-156
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2996642684
Cited by
502
References
79
FWCI
13.20
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: New aspects of amino acid metabolism in cancer. https://app.cochat.ai/papers/10.1038/s41416-019-0620-5
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Vettore, L., Westbrook, R. L., & Tennant, D. A. (2020). New aspects of amino acid metabolism in cancer. British Journal of Cancer. https://doi.org/10.1038/s41416-019-0620-5

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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.