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Mendeley readers
| Title |
Identification of a candidate prognostic gene signature by transcriptome analysis of matched pre- and post-treatment prostatic biopsies from patients with advanced prostate cancer
|
|---|---|
| Published in |
BMC Cancer, December 2014
|
| DOI | 10.1186/1471-2407-14-977 |
| Pubmed ID | |
| Authors |
Prabhakar Rajan, Jacqueline Stockley, Ian M Sudbery, Janis T Fleming, Ann Hedley, Gabriela Kalna, David Sims, Chris P Ponting, Andreas Heger, Craig N Robson, Rhona M McMenemin, Ian D Pedley, Hing Y Leung |
| Abstract |
Although chemotherapy for prostate cancer (PCa) can improve patient survival, some tumours are chemo-resistant. Tumour molecular profiles may help identify the mechanisms of drug action and identify potential prognostic biomarkers. We performed in vivo transcriptome profiling of pre- and post-treatment prostatic biopsies from patients with advanced hormone-naive prostate cancer treated with docetaxel chemotherapy and androgen deprivation therapy (ADT) with an aim to identify the mechanisms of drug action and identify prognostic biomarkers. |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 74 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Researcher | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Other | 8 | 11% |
| Student > Master | 8 | 11% |
| Other | 7 | 9% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 24% |
| Biochemistry, Genetics and Molecular Biology | 14 | 18% |
| Agricultural and Biological Sciences | 11 | 14% |
| Engineering | 4 | 5% |
| Computer Science | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 20 | 26% |