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Genomic predictors for treatment of late stage prostate cancer
In spite of the development of new treatments for late stage prostate cancer, significant challenges persist to match individuals with effective targeted therapies. Genomic classification using high-throughput sequencing technologies has the potential to achieve this goal and make precision medicine...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955183/ https://www.ncbi.nlm.nih.gov/pubmed/27030083 http://dx.doi.org/10.4103/1008-682X.177121 |
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author | Shevrin, Daniel H |
author_facet | Shevrin, Daniel H |
author_sort | Shevrin, Daniel H |
collection | PubMed |
description | In spite of the development of new treatments for late stage prostate cancer, significant challenges persist to match individuals with effective targeted therapies. Genomic classification using high-throughput sequencing technologies has the potential to achieve this goal and make precision medicine a reality in the management of men with castrate-resistant prostate cancer. This chapter reviews some of the most recent studies that have resulted in significant progress in determining the landscape of somatic genomic alterations in this cohort and, more importantly, have provided clinically actionable information that could guide treatment decisions. This chapter reviews the current understanding of common alterations such as alterations of the androgen receptor and PTEN pathway, as well as ETS gene fusions and the growing importance of PARP inhibition. It also reviews recent studies that characterize the evolution to neuroendocrine tumors, which is becoming an increasingly important clinical problem. Finally, this chapter reviews recent innovative studies that characterize the compelling evolutionary history of lethal prostate cancer evidenced by polyclonal seeding and interclonal cooperation between metastasis and the importance of tumor clone dynamics measured serially in response to treatment. The genomic landscape of late stage prostate cancer is becoming better defined, and the prospect for assigning clinically actionable data to inform rationale treatment for individuals with this disease is becoming a reality. |
format | Online Article Text |
id | pubmed-4955183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49551832016-07-26 Genomic predictors for treatment of late stage prostate cancer Shevrin, Daniel H Asian J Androl Invited Review In spite of the development of new treatments for late stage prostate cancer, significant challenges persist to match individuals with effective targeted therapies. Genomic classification using high-throughput sequencing technologies has the potential to achieve this goal and make precision medicine a reality in the management of men with castrate-resistant prostate cancer. This chapter reviews some of the most recent studies that have resulted in significant progress in determining the landscape of somatic genomic alterations in this cohort and, more importantly, have provided clinically actionable information that could guide treatment decisions. This chapter reviews the current understanding of common alterations such as alterations of the androgen receptor and PTEN pathway, as well as ETS gene fusions and the growing importance of PARP inhibition. It also reviews recent studies that characterize the evolution to neuroendocrine tumors, which is becoming an increasingly important clinical problem. Finally, this chapter reviews recent innovative studies that characterize the compelling evolutionary history of lethal prostate cancer evidenced by polyclonal seeding and interclonal cooperation between metastasis and the importance of tumor clone dynamics measured serially in response to treatment. The genomic landscape of late stage prostate cancer is becoming better defined, and the prospect for assigning clinically actionable data to inform rationale treatment for individuals with this disease is becoming a reality. Medknow Publications & Media Pvt Ltd 2016 2016-03-29 /pmc/articles/PMC4955183/ /pubmed/27030083 http://dx.doi.org/10.4103/1008-682X.177121 Text en Copyright: © Asian Journal of Andrology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Invited Review Shevrin, Daniel H Genomic predictors for treatment of late stage prostate cancer |
title | Genomic predictors for treatment of late stage prostate cancer |
title_full | Genomic predictors for treatment of late stage prostate cancer |
title_fullStr | Genomic predictors for treatment of late stage prostate cancer |
title_full_unstemmed | Genomic predictors for treatment of late stage prostate cancer |
title_short | Genomic predictors for treatment of late stage prostate cancer |
title_sort | genomic predictors for treatment of late stage prostate cancer |
topic | Invited Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955183/ https://www.ncbi.nlm.nih.gov/pubmed/27030083 http://dx.doi.org/10.4103/1008-682X.177121 |
work_keys_str_mv | AT shevrindanielh genomicpredictorsfortreatmentoflatestageprostatecancer |