Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/167741
Title: | The present and future of prostate cancer urine biomarkers |
Author: | Rigau, Marina Olivan Riera, Mireia Garcia, Marta Sequeiros, Tamara Montes, Melania Colás, Eva Llauradó, Marta Planas, Jacques Torres, Inés de Morote, Juan Cooper, Colin Reventós Puigjaner, Jaume Clark, Jeremy Doll, Andreas |
Keywords: | Càncer de pròstata Orina Indicadors biològics Prostate cancer Urine Indicators (Biology) |
Issue Date: | 17-Jun-2013 |
Publisher: | MDPI |
Abstract: | In order to successfully cure patients with prostate cancer (PCa), it is important to detect the disease at an early stage. The existing clinical biomarkers for PCa are not ideal, since they cannot specifically differentiate between those patients who should be treated immediately and those who should avoid over-treatment. Current screening techniques lack specificity, and a decisive diagnosis of PCa is based on prostate biopsy. Although PCa screening is widely utilized nowadays, two thirds of the biopsies performed are still unnecessary. Thus the discovery of non-invasive PCa biomarkers remains urgent. In recent years, the utilization of urine has emerged as an attractive option for the non-invasive detection of PCa. Moreover, a great improvement in high-throughput 'omic' techniques has presented considerable opportunities for the identification of new biomarkers. Herein, we will review the most significant urine biomarkers described in recent years, as well as some future prospects in that field. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/ijms140612620 |
It is part of: | International Journal of Molecular Sciences, 2013, vol. 14, num. 6, p. 12620-12649 |
URI: | http://hdl.handle.net/2445/167741 |
Related resource: | https://doi.org/10.3390/ijms140612620 |
ISSN: | 1661-6596 |
Appears in Collections: | Articles publicats en revistes (Patologia i Terapèutica Experimental) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
700443.pdf | 2.11 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License