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Cited by 330

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Triterpenoids as potential agents for the chemoprevention and therapy of breast cancer

Open access
Bishayee, Anupam·2011·Frontiers in Bioscience

Abstract

Breast cancer remains a major cause of death in the United States as well as the rest of the world. In view of the limited treatment options for patients with advanced breast cancer, preventive and novel therapeutic approaches play an important role in combating this disease. The plant-derived triterpenoids, commonly used for medicinal purposes in many Asian countries, posses various pharmacological properties. A large number of triterpenoids are known to exhibit cytotoxicity against a variety of tumor cells as well as anticancer efficacy in preclinical animal models. Numerous triterpenoids have been synthesized by structural modification of natural compounds. Some of these analogs are considered to be the most potent antiinflammatory and anticarcinogenic triterpenoids known. This review examines the potential role of natural triterpenoids and their derivatives in the chemoprevention and treatment of mammary tumors. Both in vitro and in vivo effects of these agents and related molecular mechanisms are presented. Potential challenges and future directions involved in the advancement of these promising compounds in the prevention and therapy of human breast cancer are also identified.

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Metadata

Authors
Bishayee, A.
Venue
Frontiers in Bioscience
Publisher
IMR Press
Published
2011
Volume
16
Issue
1
Pages
980
ISSN
  • 1093-4715 (ISSN-L)
  • 1093-9946
OpenAlex
W1996023050
Cited by
330
References
81
FWCI
4.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Triterpenoids as potential agents for the chemoprevention and therapy of breast cancer. https://app.cochat.ai/papers/10.2741/3730
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Bishayee, A. (2011). Triterpenoids as potential agents for the chemoprevention and therapy of breast cancer. Frontiers in Bioscience. https://doi.org/10.2741/3730

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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