| Title |
Mechanisms of Therapeutic Resistance in Prostate Cancer
|
|---|---|
| Published in |
Current Oncology Reports, February 2017
|
| DOI | 10.1007/s11912-017-0568-7 |
| Pubmed ID | |
| Authors |
Mary Nakazawa, Channing Paller, Natasha Kyprianou |
| Abstract |
Prostate cancer is the second leading cause of cancer deaths in the USA. The challenge in managing castration-resistant prostate cancer (CRPC) stems not from the lack of therapeutic options but from the limited duration of clinical and survival benefit offered by treatments in this setting due to primary and acquired resistance. The remarkable molecular heterogeneity and tumor adaptability in advanced prostate cancer necessitate optimization of such treatment strategies. While the future of CRPC management will involve newer targeted therapies in deliberately biomarker-selected patients, interventions using current approaches may exhibit improved clinical benefit if employed in the context of optimal sequencing and combinations. This review outlines our current understanding of mechanisms of therapeutic resistance in progression to and after the development of castration resistance, highlighting targetable and reversible mechanisms of resistance. |
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 % |
|---|---|---|
| Colombia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 17% |
| Researcher | 21 | 14% |
| Student > Bachelor | 20 | 13% |
| Student > Master | 18 | 12% |
| Student > Postgraduate | 7 | 5% |
| Other | 15 | 10% |
| Unknown | 45 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Medicine and Dentistry | 19 | 13% |
| Agricultural and Biological Sciences | 15 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 9% |
| Engineering | 6 | 4% |
| Other | 20 | 13% |
| Unknown | 50 | 33% |
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 31 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Current Oncology Reports
#764
of 890 outputs
Outputs of similar age
#271,141
of 311,178 outputs
Outputs of similar age from Current Oncology Reports
#22
of 26 outputs
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