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Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy
Recent phase III trial data clearly demonstrate that adjuvant therapy can reduce recurrence and increase survival after prostatectomy for prostate cancer. There is great interest in being able to accurately predict who is at risk of failure to avoid treating those who may not benefit. The standard m...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200300/ https://www.ncbi.nlm.nih.gov/pubmed/22096655 http://dx.doi.org/10.1155/2011/290160 |
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author | Swanson, Gregory P. Quinn, David |
author_facet | Swanson, Gregory P. Quinn, David |
author_sort | Swanson, Gregory P. |
collection | PubMed |
description | Recent phase III trial data clearly demonstrate that adjuvant therapy can reduce recurrence and increase survival after prostatectomy for prostate cancer. There is great interest in being able to accurately predict who is at risk of failure to avoid treating those who may not benefit. The standard markers consisting of prostate specific antigen (PSA), Gleason score, and pathological stage are not very specific, so there is an unmet need for other markers to aid in prognostic stratification. Numerous studies have been conducted with various markers and more recently gene signatures, but it is unclear whether any of them are really useful. We conducted a comprehensive review of the literature to determine the current status of molecular markers in predicting outcome after radical prostatectomy. |
format | Online Article Text |
id | pubmed-3200300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32003002011-11-17 Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy Swanson, Gregory P. Quinn, David Prostate Cancer Review Article Recent phase III trial data clearly demonstrate that adjuvant therapy can reduce recurrence and increase survival after prostatectomy for prostate cancer. There is great interest in being able to accurately predict who is at risk of failure to avoid treating those who may not benefit. The standard markers consisting of prostate specific antigen (PSA), Gleason score, and pathological stage are not very specific, so there is an unmet need for other markers to aid in prognostic stratification. Numerous studies have been conducted with various markers and more recently gene signatures, but it is unclear whether any of them are really useful. We conducted a comprehensive review of the literature to determine the current status of molecular markers in predicting outcome after radical prostatectomy. Hindawi Publishing Corporation 2011 2011-04-14 /pmc/articles/PMC3200300/ /pubmed/22096655 http://dx.doi.org/10.1155/2011/290160 Text en Copyright © 2011 G. P. Swanson and D. Quinn. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Swanson, Gregory P. Quinn, David Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title | Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title_full | Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title_fullStr | Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title_full_unstemmed | Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title_short | Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy |
title_sort | using molecular markers to help predict who will fail after radical prostatectomy |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200300/ https://www.ncbi.nlm.nih.gov/pubmed/22096655 http://dx.doi.org/10.1155/2011/290160 |
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