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Cited by 554

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Identification of a Cell of Origin for Human Prostate Cancer

Open access
Goldstein, Andrew S., Huang, Jiaoti, Guo, Changyong, Garraway, Isla P., Witte, Owen N.·2010·Science

Abstract

Another Cell Culprit in Prostate Cancer: A recent controversial hypothesis about the cellular origins of human cancer, the so-called “cancer stem cell hypothesis,” has fueled interest in identifying the specific cell types that give rise to common epithelial cancers. A single, well-defined cell of origin could, in principle, lead to more effective targeted therapies. Based on histological evidence and/or studies of mouse tumors, luminal cells are believed to be the cell of origin in prostate cancer. Now, using functional assays of cells derived from benign human prostate tissue, Goldstein et al. (p. 568 ) find that a different cell type, basal cells, can give rise in mice to prostate tumors that closely resemble human prostate tumors. Thus, the cellular origin of prostate cancer may be more complex than anticipated.

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Crossref · 10.1126/science.1189992

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Metadata

Authors
Goldstein, A. S., Huang, J., Guo, C., Garraway, I. P., & Witte, O. N.
Venue
Science
Published
2010-07-30
Volume
329
Issue
5991
Pages
568-571
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2049700579
Cited by
554
References
4
FWCI
51.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of a Cell of Origin for Human Prostate Cancer. https://app.cochat.ai/papers/10.1126/science.1189992
The paper
Goldstein, A. S., Huang, J., Guo, C., Garraway, I. P., & Witte, O. N. (2010). Identification of a Cell of Origin for Human Prostate Cancer. Science. https://doi.org/10.1126/science.1189992

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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.