Fiona M. Frame
Epigenetic Control of Gene Expression in the Normal and Malignant Human Prostate: A Rapid Response Which Promotes Therapeutic Resistance
Frame, Fiona M.; Maitland, Norman J.
Authors
Norman J. Maitland
Contributors
Fiona Frame
Researcher
Abstract
A successful prostate cancer must be capable of changing its phenotype in response to a variety of microenvironmental influences, such as adaptation to treatment or successful proliferation at a particular metastatic site. New cell phenotypes emerge by selection from the large, genotypically heterogeneous pool of candidate cells present within any tumor mass, including a distinct stem cell-like population. In such a multicellular model of human prostate cancer, flexible responses are primarily governed not only by de novo mutations but appear to be dominated by a combination of epigenetic controls, whose application results in treatment resistance and tumor relapse. Detailed studies of these individual cell populations have resulted in an epigenetic model for epithelial cell differentiation, which is also instructive in explaining the reported high and inevitable relapse rates of human prostate cancers to a multitude of treatment types.
Citation
Frame, F. M., & Maitland, N. J. (2019). Epigenetic Control of Gene Expression in the Normal and Malignant Human Prostate: A Rapid Response Which Promotes Therapeutic Resistance. International Journal of Molecular Sciences, 20(10), Article 2437. https://doi.org/10.3390/ijms20102437
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 29, 2019 |
Online Publication Date | May 17, 2019 |
Publication Date | May 17, 2019 |
Deposit Date | Jun 20, 2019 |
Publicly Available Date | Jun 20, 2019 |
Journal | International Journal of Molecular Sciences |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 20 |
Issue | 10 |
Article Number | 2437 |
DOI | https://doi.org/10.3390/ijms20102437 |
Keywords | Physical and Theoretical Chemistry; Inorganic Chemistry; Organic Chemistry; Spectroscopy; Molecular Biology; Catalysis; General Medicine; Computer Science Applications |
Public URL | https://hull-repository.worktribe.com/output/2020156 |
Publisher URL | https://www.mdpi.com/1422-0067/20/10/2437 |
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Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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