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Cited by 185

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Choline metabolism in cancer: implications for diagnosis and therapy

Glunde, Kristine, Jacobs, Michael A, Bhujwalla, Zaver M·2006·Expert Review of Molecular Diagnostics

Abstract

Magnetic resonance studies from the last 10 years have conclusively demonstrated that choline metabolism is altered in a wide variety of cancers. In cancer, the choline metabolite profile is characterized by an elevation of phosphocholine and total choline-containing compounds. This elevation is increasingly being used as an endogenous biomarker of cancer. Importantly, the enzymes and pathways resulting in these distinct alterations in phosphocholine and total choline may provide novel molecular targets for specific, targeted anticancer therapies. In this article, we have summarized some of the magnetic resonance spectroscopy and positron emission tomography techniques that are currently available, or will be in the near future, for choline metabolism-based diagnosis, staging and therapy assessment in cancer patients. This review also outlines currently known molecular alterations that cause the aberrant choline metabolite profile in cancers and concludes with a summary of recent research findings that may, in the future, lead to novel anticancer therapies targeting choline metabolism.

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Metadata

Authors
Glunde, K., Jacobs, M. A., & Bhujwalla, Z. M.
Venue
Expert Review of Molecular Diagnostics
Published
2006-11
Volume
6
Issue
6
Pages
821-829
ISSN
  • 1473-7159 (ISSN-L)
  • 1744-8352
OpenAlex
W2023589957
Cited by
185
References
0
FWCI
4.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Choline metabolism in cancer: implications for diagnosis and therapy. https://app.cochat.ai/papers/10.1586/14737159.6.6.821
The paper
Glunde, K., Jacobs, M. A., & Bhujwalla, Z. M. (2006). Choline metabolism in cancer: implications for diagnosis and therapy. Expert Review of Molecular Diagnostics. https://doi.org/10.1586/14737159.6.6.821

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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.