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Human prostate cancer risk factors

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Bostwick, David G., Burke, Harry B., Djakiew, Daniel, Euling, Susan, Ho, Shuk-mei, Landolph, Joseph, Morrison, Howard, Sonawane, Babasaheb, Shifflett, Tiffany, Waters, David J., Timms, Barry·2004·Cancer

Abstract

Prostate cancer has the highest prevalence of any nonskin cancer in the human body, with similar likelihood of neoplastic foci found within the prostates of men around the world regardless of diet, occupation, lifestyle, or other factors. Essentially all men with circulating androgens will develop microscopic prostate cancer if they live long enough. This review is a contemporary and comprehensive, literature-based analysis of the putative risk factors for human prostate cancer, and the results were presented at a multidisciplinary consensus conference held in Crystal City, Virginia, in the fall of 2002. The objectives were to evaluate known environmental factors and mechanisms of prostatic carcinogenesis and to identify existing data gaps and future research needs. The review is divided into four sections, including 1) epidemiology (endogenous factors [family history, hormones, race, aging and oxidative stress] and exogenous factors [diet, environmental agents, occupation and other factors, including lifestyle factors]); 2) animal and cell culture models for prediction of human risk (rodent models, transgenic models, mouse reconstitution models, severe combined immunodeficiency syndrome mouse models, canine models, xenograft models, and cell culture models); 3) biomarkers in prostate cancer, most of which have been tested only as predictive factors for patient outcome after treatment rather than as risk factors; and 4) genotoxic and nongenotoxic mechanisms of carcinogenesis. The authors conclude that most of the data regarding risk relies, of necessity, on epidemiologic studies, but animal and cell culture models offer promise in confirming some important findings. The current understanding of biomarkers of disease and risk factors is limited. An understanding of the risk factors for prostate cancer has practical importance for public health research and policy, genetic and nutritional education and chemoprevention, and prevention strategies.

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Metadata

Authors
Bostwick, D. G., Burke, H. B., Djakiew, D., Euling, S., Ho, S.-M., Landolph, J., Morrison, H., Sonawane, B., Shifflett, T., Waters, D. J., & Timms, B.
Venue
Cancer
Publisher
Wiley
Published
2004
Volume
101
Issue
S10
Pages
2371-2490
ISSN
  • 0008-543X (ISSN-L)
  • 1097-0142
OpenAlex
W2121518362
Cited by
650
References
10
FWCI
18.74
Type
journal article
Language
en
Open access
bronze
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 4261 d)

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Human prostate cancer risk factors. https://app.cochat.ai/papers/10.1002/cncr.20408
The paper
Bostwick, D. G., Burke, H. B., Djakiew, D., Euling, S., Ho, S.-M., Landolph, J., Morrison, H., Sonawane, B., Shifflett, T., Waters, D. J., & Timms, B. (2004). Human prostate cancer risk factors. Cancer. https://doi.org/10.1002/cncr.20408

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.