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Cited by 946

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Molecular genetics of prostate cancer: new prospects for old challenges

Open access
Shen, Michael M., Abate-Shen, Cory·2010·Genes & Development

Abstract

Despite much recent progress, prostate cancer continues to represent a major cause of cancer-related mortality and morbidity in men. Since early studies on the role of the androgen receptor that led to the advent of androgen deprivation therapy in the 1940s, there has long been intensive interest in the basic mechanisms underlying prostate cancer initiation and progression, as well as the potential to target these processes for therapeutic intervention. Here, we present an overview of major themes in prostate cancer research, focusing on current knowledge of principal events in cancer initiation and progression. We discuss recent advances, including new insights into the mechanisms of castration resistance, identification of stem cells and tumor-initiating cells, and development of mouse models for preclinical evaluation of novel therapuetics. Overall, we highlight the tremendous research progress made in recent years, and underscore the challenges that lie ahead.

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Crossref · 10.1101/gad.1965810

Cites

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Metadata

Authors
Shen, M. M., & Abate-Shen, C.
Venue
Genes & Development
Published
2010-09-15
Volume
24
Issue
18
Pages
1967-2000
ISSN
  • 0890-9369 (ISSN-L)
  • 1549-5477
OpenAlex
W2148416479
Cited by
946
References
33
Type
posted content
Language
en
Open access
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CoChat. (2026). Citation check: Molecular genetics of prostate cancer: new prospects for old challenges. https://app.cochat.ai/papers/10.1101/gad.1965810
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Shen, M. M., & Abate-Shen, C. (2010). Molecular genetics of prostate cancer: new prospects for old challenges. Genes & Development. https://doi.org/10.1101/gad.1965810

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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.