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Cited by 311

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Brassica Vegetables and Prostate Cancer Risk: A Review of the Epidemiological Evidence

Kristal, Alan R., Lampe, Johanna W.·2002·Nutrition and Cancer

Abstract

Epidemiological studies have yielded conflicting results on the associations of diet with prostate cancer. We review evidence that Brassica vegetables are associated with reduced prostate cancer risk. Brassica vegetables, which include broccoli, cabbage, mustard and collard greens, and bok choy, contain glucosinolates, the metabolic breakdown products of which are potent modulators of xenobiotic-metabolizing enzymes that protect DNA from damage. Twelve published studies give some information about Brassica vegetables and prostate cancer risk; six of these studies can be clearly interpreted. Of these, three reported statistically significant reduced risks (P < 0.05) and one reported a borderline significant reduced risk (P = 0.06) with high Brassica vegetable consumption. The epidemiological literature provides modest support for the hypothesis that high intakes of Brassica vegetables reduce prostate cancer risk.

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Metadata

Authors
Kristal, A. R., & Lampe, J. W.
Venue
Nutrition and Cancer
Published
2002-01
Volume
42
Issue
1
Pages
1-9
ISSN
  • 0163-5581 (ISSN-L)
  • 1532-7914
OpenAlex
W2036826999
Cited by
311
References
50
FWCI
9.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Brassica Vegetables and Prostate Cancer Risk: A Review of the Epidemiological Evidence. https://app.cochat.ai/papers/10.1207/s15327914nc421_1
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Kristal, A. R., & Lampe, J. W. (2002). Brassica Vegetables and Prostate Cancer Risk: A Review of the Epidemiological Evidence. Nutrition and Cancer. https://doi.org/10.1207/s15327914nc421_1

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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.