Chapter title |
Non-coding RNAs in Prostate Cancer: From Discovery to Clinical Applications.
|
---|---|
Chapter number | 8 |
Book title |
Non-coding RNA and the Reproductive System
|
Published in |
Advances in experimental medicine and biology, December 2015
|
DOI | 10.1007/978-94-017-7417-8_8 |
Pubmed ID | |
Book ISBNs |
978-9-40-177415-4, 978-9-40-177417-8
|
Authors |
Ceder, Yvonne, Yvonne Ceder |
Editors |
Dagmar Wilhelm, Pascal Bernard |
Abstract |
Prostate cancer is a heterogeneous disease for which the molecular mechanisms are still not fully elucidated. Prostate cancer research has traditionally focused on genomic and epigenetic alterations affecting the proteome, but over the last decade non-coding RNAs, especially microRNAs, have been recognized to play a key role in prostate cancer progression. A considerable number of individual microRNAs have been found to be deregulated in prostate cancer and their biological significance elucidated in functional studies. This review will delineate the current advances regarding the involvement of microRNAs and their targets in prostate cancer biology as well as their potential usage in the clinical management of the disease. The main focus will be on microRNAs contributing to initiation and progression of prostate cancer, including androgen signalling, cellular plasticity, stem cells biology and metastatic processes. To conclude, implications on potential future microRNA-based therapeutics based on the recent advances regarding the interplay between microRNAs and their targets are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 4 | 19% |
Student > Ph. D. Student | 4 | 19% |
Student > Doctoral Student | 3 | 14% |
Researcher | 3 | 14% |
Student > Master | 2 | 10% |
Other | 2 | 10% |
Unknown | 3 | 14% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 6 | 29% |
Medicine and Dentistry | 4 | 19% |
Agricultural and Biological Sciences | 3 | 14% |
Computer Science | 1 | 5% |
Mathematics | 1 | 5% |
Other | 2 | 10% |
Unknown | 4 | 19% |