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Cited by 818

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Amino acids in cancer

Open access
Lieu, Elizabeth L., Nguyen, Tu, Rhyne, Shawn, Kim, Jiyeon·2020·Experimental & Molecular Medicine

Abstract

Over 90 years ago, Otto Warburg’s seminal discovery of aerobic glycolysis established metabolic reprogramming as one of the first distinguishing characteristics of cancer 1. The field of cancer metabolism subsequently revealed additional metabolic alterations in cancer by focusing on central carbon metabolism, including the citric acid cycle and pentose phosphate pathway. Recent reports have, however, uncovered substantial non-carbon metabolism contributions to cancer cell viability and growth. Amino acids, nutrients vital to the survival of all cell types, experience reprogrammed metabolism in cancer. This review outlines the diverse roles of amino acids within the tumor and in the tumor microenvironment. Beyond their role in biosynthesis, they serve as energy sources and help maintain redox balance. In addition, amino acid derivatives contribute to epigenetic regulation and immune responses linked to tumorigenesis and metastasis. Furthermore, in discussing the transporters and transaminases that mediate amino acid uptake and synthesis, we identify potential metabolic liabilities as targets for therapeutic intervention.

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Crossref · 10.1038/s12276-020-0375-3

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Metadata

Authors
Lieu, E. L., Nguyen, T., Rhyne, S., & Kim, J.
Venue
Experimental & Molecular Medicine
Published
2020-01
Volume
52
Issue
1
Pages
15-30
ISSN
  • 1226-3613 (ISSN-L)
  • 2092-6413
OpenAlex
W3002071299
Cited by
818
References
45
FWCI
28.40
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Amino acids in cancer. https://app.cochat.ai/papers/10.1038/s12276-020-0375-3
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Lieu, E. L., Nguyen, T., Rhyne, S., & Kim, J. (2020). Amino acids in cancer. Experimental & Molecular Medicine. https://doi.org/10.1038/s12276-020-0375-3

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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.