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Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study

Background: MicroRNA (miRNA) have been shown to be important in regulating gene expression in prostate cancer. We used next generation miRNA sequencing to conduct a whole miRNome analysis to identify miRNAs associated with prostate cancer metastasis. Methods: We conducted discovery and validation an...

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Autores principales: Nam, Robert K., Amemiya, Yutaka, Benatar, Tania, Wallis, Christopher J.D., Stojcic-Bendavid, Jessica, Bacopulos, Stephanie, Sherman, Christopher, Sugar, Linda, Naeim, Magda, Yang, Wenyi, Zhang, Aiguo, Klotz, Laurence H., Narod, Steven A., Seth, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615353/
https://www.ncbi.nlm.nih.gov/pubmed/26516365
http://dx.doi.org/10.7150/jca.13397
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author Nam, Robert K.
Amemiya, Yutaka
Benatar, Tania
Wallis, Christopher J.D.
Stojcic-Bendavid, Jessica
Bacopulos, Stephanie
Sherman, Christopher
Sugar, Linda
Naeim, Magda
Yang, Wenyi
Zhang, Aiguo
Klotz, Laurence H.
Narod, Steven A.
Seth, Arun
author_facet Nam, Robert K.
Amemiya, Yutaka
Benatar, Tania
Wallis, Christopher J.D.
Stojcic-Bendavid, Jessica
Bacopulos, Stephanie
Sherman, Christopher
Sugar, Linda
Naeim, Magda
Yang, Wenyi
Zhang, Aiguo
Klotz, Laurence H.
Narod, Steven A.
Seth, Arun
author_sort Nam, Robert K.
collection PubMed
description Background: MicroRNA (miRNA) have been shown to be important in regulating gene expression in prostate cancer. We used next generation miRNA sequencing to conduct a whole miRNome analysis to identify miRNAs associated with prostate cancer metastasis. Methods: We conducted discovery and validation analyses of miRNAs among a total of 546 men who underwent surgery for prostate cancer using the development of metastasis as an endpoint. Genome wide analysis was conducted among the discovery group (n=31) to identify new miRNAs associated with prostate cancer metastasis. Selected miRNAs were then analyzed using qPCR on prostatectomy specimens from an independent cohort (n=515) to determine whether their expression could predict the development of metastasis after surgery. To examine the biology underlying these associations, we created prostate cancer cell lines which overexpressed miR-301a for in vitro and in vivo functional assays. Results: We identified 33 miRNAs associated with prostate cancer metastasis and selected a panel comprising miRs-301a, 652, 454, 223 and 139 which strongly predicted metastasis (AUC=95.3%, 95%C.I.:84%-99%). Among the validation cohort, the 15-year metastasis-free survival was 77.5% (95% C.I.:63.9%-86.4%) for patients with a high miRNA panel score and 98.8% (95% C.I.:94.9%-99.7%, p<0.0001 for difference) for those with a low score. After adjusting for grade, stage, and PSA, the hazard ratio for metastasis was 4.3 (95% C.I.: 1.7-11.1, p=0.002) for patients with a high miRNA panel score, compared to those with a low score. Prostate cancer cell lines overexpressing miR-301a had in significantly higher tumor growth and metastasis in a xenograft mouse model. Conclusions: A panel of miRNAs is associated with prostate cancer metastasis. These could be used as potential new prognostic factors in the surgical management of prostate cancer.
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spelling pubmed-46153532015-10-29 Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study Nam, Robert K. Amemiya, Yutaka Benatar, Tania Wallis, Christopher J.D. Stojcic-Bendavid, Jessica Bacopulos, Stephanie Sherman, Christopher Sugar, Linda Naeim, Magda Yang, Wenyi Zhang, Aiguo Klotz, Laurence H. Narod, Steven A. Seth, Arun J Cancer Research Paper Background: MicroRNA (miRNA) have been shown to be important in regulating gene expression in prostate cancer. We used next generation miRNA sequencing to conduct a whole miRNome analysis to identify miRNAs associated with prostate cancer metastasis. Methods: We conducted discovery and validation analyses of miRNAs among a total of 546 men who underwent surgery for prostate cancer using the development of metastasis as an endpoint. Genome wide analysis was conducted among the discovery group (n=31) to identify new miRNAs associated with prostate cancer metastasis. Selected miRNAs were then analyzed using qPCR on prostatectomy specimens from an independent cohort (n=515) to determine whether their expression could predict the development of metastasis after surgery. To examine the biology underlying these associations, we created prostate cancer cell lines which overexpressed miR-301a for in vitro and in vivo functional assays. Results: We identified 33 miRNAs associated with prostate cancer metastasis and selected a panel comprising miRs-301a, 652, 454, 223 and 139 which strongly predicted metastasis (AUC=95.3%, 95%C.I.:84%-99%). Among the validation cohort, the 15-year metastasis-free survival was 77.5% (95% C.I.:63.9%-86.4%) for patients with a high miRNA panel score and 98.8% (95% C.I.:94.9%-99.7%, p<0.0001 for difference) for those with a low score. After adjusting for grade, stage, and PSA, the hazard ratio for metastasis was 4.3 (95% C.I.: 1.7-11.1, p=0.002) for patients with a high miRNA panel score, compared to those with a low score. Prostate cancer cell lines overexpressing miR-301a had in significantly higher tumor growth and metastasis in a xenograft mouse model. Conclusions: A panel of miRNAs is associated with prostate cancer metastasis. These could be used as potential new prognostic factors in the surgical management of prostate cancer. Ivyspring International Publisher 2015-09-15 /pmc/articles/PMC4615353/ /pubmed/26516365 http://dx.doi.org/10.7150/jca.13397 Text en © 2015 Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Nam, Robert K.
Amemiya, Yutaka
Benatar, Tania
Wallis, Christopher J.D.
Stojcic-Bendavid, Jessica
Bacopulos, Stephanie
Sherman, Christopher
Sugar, Linda
Naeim, Magda
Yang, Wenyi
Zhang, Aiguo
Klotz, Laurence H.
Narod, Steven A.
Seth, Arun
Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title_full Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title_fullStr Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title_full_unstemmed Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title_short Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study
title_sort identification and validation of a five microrna signature predictive of prostate cancer recurrence and metastasis: a cohort study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615353/
https://www.ncbi.nlm.nih.gov/pubmed/26516365
http://dx.doi.org/10.7150/jca.13397
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