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Cited by 447

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

Prostate cancer epidemiology

Open access
Hsing, Ann, W.·2006·Frontiers in Bioscience

Abstract

Prostate cancer is the most common non-skin cancer among men in most western populations, and it is the second leading cause of cancer death among U.S. men. Despite its high morbidity, the etiology of prostate cancer remains largely unknown. Advancing age, race, and a family history of prostate cancer are the only established risk factors. Many putative risk factors, including androgens, diet, physical activity, sexual factors, inflammation, and obesity, have been implicated, but their roles in prostate cancer etiology remain unclear. It is estimated that as much as 42% of the risk of prostate cancer may be accounted for by genetic influences, including individual and combined effects of rare, highly penetrant genes, more common weakly penetrant genes, and genes acting in concert with each other. Numerous genetic variants in the androgen biosynthesis/metabolism, carcinogen metabolism, DNA repair, and chronic inflammation pathways, have been explored, but the results are largely inconclusive. The pathogenesis of prostate cancer likely involves interplay between environmental and genetic factors. To unravel these complex relationships, large well-designed interdisciplinary epidemiologic studies are needed. With newly available molecular tools, a new generation of large-scale multidisciplinary population-based studies is beginning to investigate gene-gene and gene-environment interactions. Results of these studies may lead to better detection, treatment, and, ultimately, prevention of prostate cancer.

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Crossref · 10.2741/1891

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Metadata

Authors
Hsing, A.
Venue
Frontiers in Bioscience
Publisher
IMR Press
Published
2006
Volume
11
Issue
1
Pages
1388
ISSN
  • 1093-4715 (ISSN-L)
  • 1093-9946
OpenAlex
W2129631700
Cited by
447
References
168
FWCI
20.66
Type
journal article
Language
en
Open access
bronze

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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.