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...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Prostate Cancer |
| Online Access: | http://dx.doi.org/10.1155/2011/290160 |
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| _version_ | 1832549749516926976 |
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| author | Gregory P. Swanson David Quinn |
| author_facet | Gregory P. Swanson David Quinn |
| author_sort | Gregory P. Swanson |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-c95779317fb146068daffa49dc399e88 |
| institution | Kabale University |
| issn | 2090-3111 2090-312X |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Prostate Cancer |
| spelling | doaj-art-c95779317fb146068daffa49dc399e882025-02-03T06:08:48ZengWileyProstate Cancer2090-31112090-312X2011-01-01201110.1155/2011/290160290160Using Molecular Markers to Help Predict Who Will Fail after Radical ProstatectomyGregory P. Swanson0David Quinn1Departments of Radiation Oncology, Radiology, and Urology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive MC 7889, San Antonio, TX 78229, USAUniversity of Southern California Norris Comprehensive Cancer Center, 1441 Eastlake Avenue Suite 3440, Los Angeles, CA 90033, USARecent 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.http://dx.doi.org/10.1155/2011/290160 |
| spellingShingle | Gregory P. Swanson David Quinn Using Molecular Markers to Help Predict Who Will Fail after Radical Prostatectomy Prostate Cancer |
| 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 |
| url | http://dx.doi.org/10.1155/2011/290160 |
| work_keys_str_mv | AT gregorypswanson usingmolecularmarkerstohelppredictwhowillfailafterradicalprostatectomy AT davidquinn usingmolecularmarkerstohelppredictwhowillfailafterradicalprostatectomy |