| Title |
The biology and clinical implications of prostate cancer dormancy and metastasis
|
|---|---|
| Published in |
Journal of Molecular Medicine, October 2015
|
| DOI | 10.1007/s00109-015-1353-4 |
| Pubmed ID | |
| Authors |
Colm Morrissey, Robert L. Vessella, Paul H. Lange, Hung-Ming Lam |
| Abstract |
Disseminated tumor cells (DTCs) are detected early in the disease process in prostate cancer (PCa) patients and can persist after radical prostatectomy. DTCs can remain dormant in patients with no evidence of disease for a prolonged period of time only to recur 10 or more years later. Recent advances in single-cell genomics and transcriptomics have provided much needed insight into DTC biology and cancer dormancy in patients. With the development of new in vitro and preclinical models, researchers recapitulate the clinical events in patients and therefore allow further elucidation of the molecular mechanisms underlying cancer dormancy and escape. In this review, we explore novel ideas on the detection, heterogeneous transcriptomic profiles, molecular and cellular mechanisms of dormancy, and potential mechanisms underlying dormancy escape by DTCs. As such, there is hope that identifying and targeting novel dormancy-associated pathways in patients with residual disease will have significant clinical implications for the treatment of PCa patients in the future. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Bachelor | 9 | 18% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Postgraduate | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Medicine and Dentistry | 10 | 20% |
| Agricultural and Biological Sciences | 9 | 18% |
| Immunology and Microbiology | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 October 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from Journal of Molecular Medicine
#1,340
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Outputs of similar age
#237,448
of 283,220 outputs
Outputs of similar age from Journal of Molecular Medicine
#19
of 26 outputs
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