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Cited by 304

The DOI matches its Crossref record; 230 of the 230 references it cites were found in a registry or an index.

Dietary Natural Products for Prevention and Treatment of Breast Cancer

Open access
Li, Ya, Li, Sha, Meng, Xiao, Gan, Ren-You, Zhang, Jiao-Jiao, Li, Hua-Bin·2017·Nutrients

Abstract

Breast cancer is the most common cancer among females worldwide. Several epidemiological studies suggested the inverse correlation between the intake of vegetables and fruits and the incidence of breast cancer. Substantial experimental studies indicated that many dietary natural products could affect the development and progression of breast cancer, such as soy, pomegranate, mangosteen, citrus fruits, apple, grape, mango, cruciferous vegetables, ginger, garlic, black cumin, edible macro-fungi, and cereals. Their anti-breast cancer effects involve various mechanisms of action, such as downregulating ER-α expression and activity, inhibiting proliferation, migration, metastasis and angiogenesis of breast tumor cells, inducing apoptosis and cell cycle arrest, and sensitizing breast tumor cells to radiotherapy and chemotherapy. This review summarizes the potential role of dietary natural products and their major bioactive components in prevention and treatment of breast cancer, and special attention was paid to the mechanisms of action.

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Registry

Crossref · 10.3390/nu9070728

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Metadata

Authors
Li, Y., Li, S., Meng, X., Gan, R.-Y., Zhang, J.-J., & Li, H.-B.
Venue
Nutrients
Publisher
MDPI AG
Published
2017-07-08
Volume
9
Issue
7
Pages
728
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4211216124
Cited by
304
References
230
FWCI
11.61
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Dietary Natural Products for Prevention and Treatment of Breast Cancer. https://app.cochat.ai/papers/10.3390/nu9070728
The paper
Li, Y., Li, S., Meng, X., Gan, R.-Y., Zhang, J.-J., & Li, H.-B. (2017). Dietary Natural Products for Prevention and Treatment of Breast Cancer. Nutrients. https://doi.org/10.3390/nu9070728

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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.