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Cited by 545

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Fatty Acid Synthase As a Potential Therapeutic Target in Cancer

Open access
Flavin, Richard, Peluso, Stephane, Nguyen, Paul L, Loda, Massimo·2010·Future Oncology

Abstract

Fatty acid synthase (FASN) is a key enzyme involved in neoplastic lipogenesis. Overexpression of FASN is common in many cancers, and accumulating evidence suggests that it is a metabolic oncogene with an important role in tumor growth and survival, making it an attractive target for cancer therapy. Early small-molecule FASN inhibitors such as cerulenin, C75 and orlistat have been shown to induce apoptosis in several cancer cell lines and to induce tumor growth delay in several cancer xenograft models but their mechanism is still not well understood. These molecules suffer from pharmacological limitations and weight loss as a side effect that prevent their development as systemic drugs. Several potent inhibitors have recently been reported that may help to unravel and exploit the full potential of FASN as a target for cancer therapy in the near future. Furthermore, novel sources of FASN inhibitors, such as green tea and dietary soy, make both dietary manipulation and chemoprevention potential alternative modes of therapy in the future.

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Metadata

Authors
Flavin, R., Peluso, S., Nguyen, P. L., & Loda, M.
Venue
Future Oncology
Published
2010-04-07
Volume
6
Issue
4
Pages
551-562
ISSN
  • 1479-6694 (ISSN-L)
  • 1744-8301
OpenAlex
W1986234170
Cited by
545
References
3
FWCI
5.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fatty Acid Synthase As a Potential Therapeutic Target in Cancer. https://app.cochat.ai/papers/10.2217/fon.10.11
The paper
Flavin, R., Peluso, S., Nguyen, P. L., & Loda, M. (2010). Fatty Acid Synthase As a Potential Therapeutic Target in Cancer. Future Oncology. https://doi.org/10.2217/fon.10.11

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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.