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Androgen receptor profiling predicts prostate cancer outcome
Prostate cancer is the second most prevalent malignancy in men. Biomarkers for outcome prediction are urgently needed, so that high-risk patients could be monitored more closely postoperatively. To identify prognostic markers and to determine causal players in prostate cancer progression, we assesse...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644377/ https://www.ncbi.nlm.nih.gov/pubmed/26412853 http://dx.doi.org/10.15252/emmm.201505424 |
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author | Stelloo, Suzan Nevedomskaya, Ekaterina van der Poel, Henk G de Jong, Jeroen van Leenders, Geert JLH Jenster, Guido Wessels, Lodewyk FA Bergman, Andries M Zwart, Wilbert |
author_facet | Stelloo, Suzan Nevedomskaya, Ekaterina van der Poel, Henk G de Jong, Jeroen van Leenders, Geert JLH Jenster, Guido Wessels, Lodewyk FA Bergman, Andries M Zwart, Wilbert |
author_sort | Stelloo, Suzan |
collection | PubMed |
description | Prostate cancer is the second most prevalent malignancy in men. Biomarkers for outcome prediction are urgently needed, so that high-risk patients could be monitored more closely postoperatively. To identify prognostic markers and to determine causal players in prostate cancer progression, we assessed changes in chromatin state during tumor development and progression. Based on this, we assessed genomewide androgen receptor/chromatin binding and identified a distinct androgen receptor/chromatin binding profile between primary prostate cancers and tumors with an acquired resistance to therapy. These differential androgen receptor/chromatin interactions dictated expression of a distinct gene signature with strong prognostic potential. Further refinement of the signature provided us with a concise list of nine genes that hallmark prostate cancer outcome in multiple independent validation series. In this report, we identified a novel gene expression signature for prostate cancer outcome through generation of multilevel genomic data on chromatin accessibility and transcriptional regulation and integration with publically available transcriptomic and clinical datastreams. By combining existing technologies, we propose a novel pipeline for biomarker discovery that is easily implementable in other fields of oncology. |
format | Online Article Text |
id | pubmed-4644377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46443772015-11-20 Androgen receptor profiling predicts prostate cancer outcome Stelloo, Suzan Nevedomskaya, Ekaterina van der Poel, Henk G de Jong, Jeroen van Leenders, Geert JLH Jenster, Guido Wessels, Lodewyk FA Bergman, Andries M Zwart, Wilbert EMBO Mol Med Research Articles Prostate cancer is the second most prevalent malignancy in men. Biomarkers for outcome prediction are urgently needed, so that high-risk patients could be monitored more closely postoperatively. To identify prognostic markers and to determine causal players in prostate cancer progression, we assessed changes in chromatin state during tumor development and progression. Based on this, we assessed genomewide androgen receptor/chromatin binding and identified a distinct androgen receptor/chromatin binding profile between primary prostate cancers and tumors with an acquired resistance to therapy. These differential androgen receptor/chromatin interactions dictated expression of a distinct gene signature with strong prognostic potential. Further refinement of the signature provided us with a concise list of nine genes that hallmark prostate cancer outcome in multiple independent validation series. In this report, we identified a novel gene expression signature for prostate cancer outcome through generation of multilevel genomic data on chromatin accessibility and transcriptional regulation and integration with publically available transcriptomic and clinical datastreams. By combining existing technologies, we propose a novel pipeline for biomarker discovery that is easily implementable in other fields of oncology. John Wiley & Sons, Ltd 2015-11 2015-09-27 /pmc/articles/PMC4644377/ /pubmed/26412853 http://dx.doi.org/10.15252/emmm.201505424 Text en © 2015 The Authors. Published under the terms of the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Stelloo, Suzan Nevedomskaya, Ekaterina van der Poel, Henk G de Jong, Jeroen van Leenders, Geert JLH Jenster, Guido Wessels, Lodewyk FA Bergman, Andries M Zwart, Wilbert Androgen receptor profiling predicts prostate cancer outcome |
title | Androgen receptor profiling predicts prostate cancer outcome |
title_full | Androgen receptor profiling predicts prostate cancer outcome |
title_fullStr | Androgen receptor profiling predicts prostate cancer outcome |
title_full_unstemmed | Androgen receptor profiling predicts prostate cancer outcome |
title_short | Androgen receptor profiling predicts prostate cancer outcome |
title_sort | androgen receptor profiling predicts prostate cancer outcome |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644377/ https://www.ncbi.nlm.nih.gov/pubmed/26412853 http://dx.doi.org/10.15252/emmm.201505424 |
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