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Cancer Stem Cell Gene Variants Predict Disease Recurrence in Patients Treated with Radical Prostatectomy for Prostate Cancer.

ABSTRACT: Background: Cancer stem cells (CSCs) are involved in tumor progression and drug resistance. We hypothesized that variants in CSC marker genes influence treatment outcomes in prostate cancer. Methods: Ten potentially functional single nucleotide polymorphisms (SNPs) in seven prostate CSC marker genes, TACSTD2, PROM1, ITGA2, POU5F1, EZH2, PSCA, and CD44, were selected for analysis of their association with disease recurrence by Kaplan-Meier analysis and Cox regression in a cohort of 320 patients with localized prostate cancer receiving radical prostatectomy. Results: We identified one independent SNP, rs2394882, in POU5F1 that was associated with prostate cancer recurrence (hazard ratio 0.32, 95% confidence interval 0.14-0.71, P = 0.005) after adjustment for known clinical predictors. Further in silico functional analyses revealed that rs2394882 affects POU5F1 expression, which in turn is significantly correlated with prostate cancer aggressiveness and patient prognosis. Conclusion: Our results suggest that rs2394882 is prognostically relevant in prostate cancer, possibly by modulating the expression of the CSC gene POU5F1.

SUBMITTER: Lin VC 

PROVIDER: S-EPMC5666565 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Cancer Stem Cell Gene Variants Predict Disease Recurrence in Patients Treated with Radical Prostatectomy for Prostate Cancer.

Lin Victor C VC   Huang Shu-Pin SP   Huang Chao-Yuan CY   Yu Chia-Cheng CC   Yin Hsin-Ling HL   Huang Tsung-Yi TY   Lee Cheng-Hsueh CH   Lu Te-Ling TL   Bao Bo-Ying BY  

International journal of medical sciences 20170930 12

<b>Background:</b> Cancer stem cells (CSCs) are involved in tumor progression and drug resistance. We hypothesized that variants in CSC marker genes influence treatment outcomes in prostate cancer. <b>Methods:</b> Ten potentially functional single nucleotide polymorphisms (SNPs) in seven prostate CSC marker genes, <i>TACSTD2</i>, <i>PROM1</i>, <i>ITGA2</i>, <i>POU5F1</i>, <i>EZH2</i>, <i>PSCA</i>, and <i>CD44</i>, were selected for analysis of their association with disease recurrence by Kaplan-  ...[more]

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