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Cited by 735

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Molecular genetics of prostate cancer

Open access
Abate-Shen, Cory, Shen, Michael M.·2000·Genes & Development

Abstract

Prostate cancer afflicts one man in nine over the age of 65 and represents the most frequently diagnosed cancer in American men (Coffey 1993).Early detection through serum testing for prostate specific antigen (PSA) and improved procedures for surgical intervention and radiation therapy have significantly reduced the number of fatalities; however, there is still no effective cure for men with advanced disease.Therefore, much research has been dedicated to identifying prognostic markers that distinguish indolent versus aggressive forms of prostate cancer.In contrast, significantly less research has been devoted to understanding the molecular mechanisms that underlie normal prostate growth and development or cancer initiation and progression.In this review, we address recent progress toward the central objectives of understanding parameters of normal versus abnormal prostatic development and of elucidating a molecular pathway for prostate cancer progression.We focus on key regulatory molecules that have been implicated by analysis of patterns of allelic loss in human prostate cancers and/or by reverse genetic approaches in the mouse.

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Metadata

Authors
Abate-Shen, C., & Shen, M. M.
Venue
Genes & Development
Published
2000-10-01
Volume
14
Issue
19
Pages
2410-2434
ISSN
  • 0890-9369 (ISSN-L)
  • 1549-5477
OpenAlex
W2064117760
Cited by
735
References
6
Type
posted content
Language
en
Open access
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CoChat. (2026). Citation check: Molecular genetics of prostate cancer. https://app.cochat.ai/papers/10.1101/gad.819500
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Abate-Shen, C., & Shen, M. M. (2000). Molecular genetics of prostate cancer. Genes & Development. https://doi.org/10.1101/gad.819500

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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.