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Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer
Although various mechanisms of castration-resistant prostate cancer (CRPC) have been discovered, reliable biomarkers for monitoring CRPC progression are lacking. We sought to identify molecules that predict the progression of advanced prostate cancer (AdvPC) into CRPC. The study used primary-site sa...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777737/ https://www.ncbi.nlm.nih.gov/pubmed/29383125 http://dx.doi.org/10.18632/oncotarget.22296 |
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author | Yun, Seok Joong Kim, Seon-Kyu Kim, Jayoung Cha, Eun-Jong Kim, Jang-Seong Kim, Sun-Jin Ha, Yun-Sok Kim, Ye-Hwan Jeong, Pildu Kang, Ho Won Kim, Jeong-Hwan Park, Jong-Lyul Choi, Young-Ki Moon, Sung-Kwon Choi, Yung-Hyun Kim, Seon-Young Kim, Wun-Jae |
author_facet | Yun, Seok Joong Kim, Seon-Kyu Kim, Jayoung Cha, Eun-Jong Kim, Jang-Seong Kim, Sun-Jin Ha, Yun-Sok Kim, Ye-Hwan Jeong, Pildu Kang, Ho Won Kim, Jeong-Hwan Park, Jong-Lyul Choi, Young-Ki Moon, Sung-Kwon Choi, Yung-Hyun Kim, Seon-Young Kim, Wun-Jae |
author_sort | Yun, Seok Joong |
collection | PubMed |
description | Although various mechanisms of castration-resistant prostate cancer (CRPC) have been discovered, reliable biomarkers for monitoring CRPC progression are lacking. We sought to identify molecules that predict the progression of advanced prostate cancer (AdvPC) into CRPC. The study used primary-site samples (N=45 for next-generation sequencing (NGS); N=243 for real-time polymerase chain reaction) from patients with prostate cancer (PC). Five public databases containing microarray data of AdvPC and CRPC samples were analyzed. The NGS data showed that each progression step in PC associated with distinct gene expression profiles. Androgen receptor (AR) associated with tumorigenesis, advanced progression, and progression into CRPC. Analysis of the paired and unpaired AdvPC and CRPC samples in the NGS cohort showed that 15 genes associated with progression into CRPC. This was validated by cohort-1 and public database analyses. Analysis of the third cohort with AdvPC showed that higher serine peptidase inhibitor, Kazal type 1 (SPINK1) and lower Sp8 transcription factor (SP8) expression associated with progression into CRPC (log-rank test, both P<0.05). Multivariate regression analysis showed that higher SPINK1 (Hazard Ratio (HR)=4.506, 95% confidence intervals (CI)=1.175–17.29, P=0.028) and lower SP8 (HR=0.199, 95% CI=0.063–0.632, P=0.006) expression independently predicted progression into CRPC. Gene network analysis showed that CRPC progression may be mediated through the AR-SPINK1 pathway by a HNF1A-based gene network. Taken together, our results suggest thatSPINK1 and SP8 may be useful for classifying patients with AdvPC who have a higher risk of progressing to CRPC. |
format | Online Article Text |
id | pubmed-5777737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57777372018-01-30 Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer Yun, Seok Joong Kim, Seon-Kyu Kim, Jayoung Cha, Eun-Jong Kim, Jang-Seong Kim, Sun-Jin Ha, Yun-Sok Kim, Ye-Hwan Jeong, Pildu Kang, Ho Won Kim, Jeong-Hwan Park, Jong-Lyul Choi, Young-Ki Moon, Sung-Kwon Choi, Yung-Hyun Kim, Seon-Young Kim, Wun-Jae Oncotarget Research Paper Although various mechanisms of castration-resistant prostate cancer (CRPC) have been discovered, reliable biomarkers for monitoring CRPC progression are lacking. We sought to identify molecules that predict the progression of advanced prostate cancer (AdvPC) into CRPC. The study used primary-site samples (N=45 for next-generation sequencing (NGS); N=243 for real-time polymerase chain reaction) from patients with prostate cancer (PC). Five public databases containing microarray data of AdvPC and CRPC samples were analyzed. The NGS data showed that each progression step in PC associated with distinct gene expression profiles. Androgen receptor (AR) associated with tumorigenesis, advanced progression, and progression into CRPC. Analysis of the paired and unpaired AdvPC and CRPC samples in the NGS cohort showed that 15 genes associated with progression into CRPC. This was validated by cohort-1 and public database analyses. Analysis of the third cohort with AdvPC showed that higher serine peptidase inhibitor, Kazal type 1 (SPINK1) and lower Sp8 transcription factor (SP8) expression associated with progression into CRPC (log-rank test, both P<0.05). Multivariate regression analysis showed that higher SPINK1 (Hazard Ratio (HR)=4.506, 95% confidence intervals (CI)=1.175–17.29, P=0.028) and lower SP8 (HR=0.199, 95% CI=0.063–0.632, P=0.006) expression independently predicted progression into CRPC. Gene network analysis showed that CRPC progression may be mediated through the AR-SPINK1 pathway by a HNF1A-based gene network. Taken together, our results suggest thatSPINK1 and SP8 may be useful for classifying patients with AdvPC who have a higher risk of progressing to CRPC. Impact Journals LLC 2017-11-06 /pmc/articles/PMC5777737/ /pubmed/29383125 http://dx.doi.org/10.18632/oncotarget.22296 Text en Copyright: © 2017 Yun et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Yun, Seok Joong Kim, Seon-Kyu Kim, Jayoung Cha, Eun-Jong Kim, Jang-Seong Kim, Sun-Jin Ha, Yun-Sok Kim, Ye-Hwan Jeong, Pildu Kang, Ho Won Kim, Jeong-Hwan Park, Jong-Lyul Choi, Young-Ki Moon, Sung-Kwon Choi, Yung-Hyun Kim, Seon-Young Kim, Wun-Jae Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title | Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title_full | Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title_fullStr | Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title_full_unstemmed | Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title_short | Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
title_sort | transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777737/ https://www.ncbi.nlm.nih.gov/pubmed/29383125 http://dx.doi.org/10.18632/oncotarget.22296 |
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