Biomarkers for Treatment Response in Advanced Prostate Cancer
Multiple treatment options with different mechanisms of action are currently available for the management of metastatic prostate cancer. However, the optimal use of these therapies—specifically, the sequencing of therapies—is not well defined. In order to obtain the best clinical outcomes, patients...
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MDPI AG
2021
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oai:doaj.org-article:0fb3f4f5899244dd89585f92f0b83acd2021-11-25T17:03:17ZBiomarkers for Treatment Response in Advanced Prostate Cancer10.3390/cancers132257232072-6694https://doaj.org/article/0fb3f4f5899244dd89585f92f0b83acd2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5723https://doaj.org/toc/2072-6694Multiple treatment options with different mechanisms of action are currently available for the management of metastatic prostate cancer. However, the optimal use of these therapies—specifically, the sequencing of therapies—is not well defined. In order to obtain the best clinical outcomes, patients need to be treated with the therapies that are most likely to provide benefit and avoid toxic therapies that are unlikely to be effective. Ideally, predictive biomarkers that allow for the selection of the therapies most likely to be of benefit would be employed for each treatment decision. In practice, biomarkers including tumor molecular sequencing, circulating tumor DNA, circulating tumor cell enumeration and androgen receptor characteristics, and tumor cell surface expression (PSMA), all may have a role in therapy selection. In this review, we define the established prognostic and predictive biomarkers for therapy in advanced prostate cancer and explore emerging biomarkers.Samia AsifBenjamin A. TeplyMDPI AGarticlebiomarkersprostate cancerpredictiveprognosticNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5723, p 5723 (2021) |
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biomarkers prostate cancer predictive prognostic Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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biomarkers prostate cancer predictive prognostic Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Samia Asif Benjamin A. Teply Biomarkers for Treatment Response in Advanced Prostate Cancer |
description |
Multiple treatment options with different mechanisms of action are currently available for the management of metastatic prostate cancer. However, the optimal use of these therapies—specifically, the sequencing of therapies—is not well defined. In order to obtain the best clinical outcomes, patients need to be treated with the therapies that are most likely to provide benefit and avoid toxic therapies that are unlikely to be effective. Ideally, predictive biomarkers that allow for the selection of the therapies most likely to be of benefit would be employed for each treatment decision. In practice, biomarkers including tumor molecular sequencing, circulating tumor DNA, circulating tumor cell enumeration and androgen receptor characteristics, and tumor cell surface expression (PSMA), all may have a role in therapy selection. In this review, we define the established prognostic and predictive biomarkers for therapy in advanced prostate cancer and explore emerging biomarkers. |
format |
article |
author |
Samia Asif Benjamin A. Teply |
author_facet |
Samia Asif Benjamin A. Teply |
author_sort |
Samia Asif |
title |
Biomarkers for Treatment Response in Advanced Prostate Cancer |
title_short |
Biomarkers for Treatment Response in Advanced Prostate Cancer |
title_full |
Biomarkers for Treatment Response in Advanced Prostate Cancer |
title_fullStr |
Biomarkers for Treatment Response in Advanced Prostate Cancer |
title_full_unstemmed |
Biomarkers for Treatment Response in Advanced Prostate Cancer |
title_sort |
biomarkers for treatment response in advanced prostate cancer |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/0fb3f4f5899244dd89585f92f0b83acd |
work_keys_str_mv |
AT samiaasif biomarkersfortreatmentresponseinadvancedprostatecancer AT benjaminateply biomarkersfortreatmentresponseinadvancedprostatecancer |
_version_ |
1718412757353627648 |