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Dietary phytochemicals and cancer chemoprevention: a review of the clinical evidence
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// Ritesh Kotecha 1 , Akiyoshi Takami 2 and J. Luis Espinoza 3 1 Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America 2 Department of Internal Medicine, Division of Hematology, Aichi Medical University, School of Medicine, Nagakute, Aichi, Japan 3 Department of Hematology Oncology, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan Correspondence to: J. Luis Espinoza, email: // Keywords : cancer chemoprevention, phytochemicals, resveratrol, curcumin, antioxidants Received : December 30, 2015 Accepted : May 12, 2016 Published : May 25, 2016 Abstract Cancer chemoprevention involves the use of different natural or biologic agents to inhibit or reverse tumor growth. Epidemiological and pre-clinical data suggest that various natural phytochemicals and dietary compounds possess chemopreventive properties, and in-vitro and animal studies support that these compounds may modulate signaling pathways involved in cell proliferation and apoptosis in transformed cells, enhance the host immune system and sensitize malignant cells to cytotoxic agents. Despite promising results from experimental studies, only a limited number of these compounds have been tested in clinical trials and have shown variable results. In this review, we summarize the data regarding select phytochemicals including curcumin, resveratrol, lycopene, folates and tea polyphenols with emphasis on the clinical evidence supporting the efficacy of these compounds in high-risk populations.
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Metadata
- Authors
- Kotecha, R., Takami, A., & Espinoza, J. L.
- Venue
- Oncotarget
- Publisher
- Impact Journals, LLC
- Published
- 2016-05-24
- Volume
- 7
- Issue
- 32
- Pages
- 52517-52529
- ISSN
- 1949-2553 (ISSN-L)
- OpenAlex
- W2401931320
- Cited by
- 396
- References
- 125
- FWCI
- 26.76
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
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.