Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer

Cited 22 time in scopus
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Title
Transcriptomic features of primary prostate cancer and their prognostic relevance to castration-resistant prostate cancer
Author(s)
S J Yun; Seon-Kyu Kim; J Kim; E J Cha; Jang Seong Kim; S J Kim; Y S Ha; Y H Kim; P Jeong; H W Kang; Jeong Hwan KimJong Lyul Park; Y K Choi; S K Moon; Y H Choi; Seon-Young Kim; W J Kim
Bibliographic Citation
Oncotarget, vol. 8, no. 70, pp. 114845-114855
Publication Year
2017
Abstract
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 HNF1Abased 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.
Keyword
CRPCdisease progressiongene expressionmarkersprognosis
ISSN
1949-2553
Publisher
Impact Journals
Full Text Link
http://dx.doi.org/10.18632/oncotarget.22296
Type
Article
Appears in Collections:
Division of A.I. & Biomedical Research > Genomic Medicine Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Biotherapeutics Translational Research Center > 1. Journal Articles
Aging Convergence Research Center > 1. Journal Articles
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