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miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer

Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-sp...

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Autores principales: Karatas, Omer Faruk, Guzel, Esra, Suer, Ilknur, Ekici, Isin D., Caskurlu, Turhan, Creighton, Chad J., Ittmann, Michael, Ozen, Mustafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072786/
https://www.ncbi.nlm.nih.gov/pubmed/24967583
http://dx.doi.org/10.1371/journal.pone.0098675
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author Karatas, Omer Faruk
Guzel, Esra
Suer, Ilknur
Ekici, Isin D.
Caskurlu, Turhan
Creighton, Chad J.
Ittmann, Michael
Ozen, Mustafa
author_facet Karatas, Omer Faruk
Guzel, Esra
Suer, Ilknur
Ekici, Isin D.
Caskurlu, Turhan
Creighton, Chad J.
Ittmann, Michael
Ozen, Mustafa
author_sort Karatas, Omer Faruk
collection PubMed
description Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-specific antigen levels. Therefore, it is important to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic/therapeutic approaches. In this study, it is aimed to compare the microRNA (miRNA) profile of recurrent and non-recurrent prostate tumor tissues to explore the possible involvement of miRNAs in PCa progression. Total RNA from 41 recurrent and 41 non-recurrent PCa tissue samples were used to investigate the miRNA signature in PCa specimens. First of all, 20 recurrent and 20 non-recurrent PCa samples were profiled using miRNA microarray chips. Of the differentially expressed miRNAs, miR-1, miR-133b and miR-145* were selected for further validation with qRT-PCR in a different set of 21 recurrent and 21 non-recurrent PCa samples. Data were statistically analyzed using two-sided Student's t-test, Pearson Correlation test, Receiver operating characteristic analysis. Our results demonstrated that miR-1 and mir-133b have been significantly downregulated in recurrent PCa specimens in comparison to non-recurrent PCa samples and have sufficient power to distinguish recurrent specimens from non-recurrent ones on their own. Here, we report that the relative expression of miR-1 and mir-133b have been significantly reduced in recurrent PCa specimens in comparison to non-recurrent PCa samples, which can serve as novel biomarkers for prediction of PCa progression.
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spelling pubmed-40727862014-07-02 miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer Karatas, Omer Faruk Guzel, Esra Suer, Ilknur Ekici, Isin D. Caskurlu, Turhan Creighton, Chad J. Ittmann, Michael Ozen, Mustafa PLoS One Research Article Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-specific antigen levels. Therefore, it is important to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic/therapeutic approaches. In this study, it is aimed to compare the microRNA (miRNA) profile of recurrent and non-recurrent prostate tumor tissues to explore the possible involvement of miRNAs in PCa progression. Total RNA from 41 recurrent and 41 non-recurrent PCa tissue samples were used to investigate the miRNA signature in PCa specimens. First of all, 20 recurrent and 20 non-recurrent PCa samples were profiled using miRNA microarray chips. Of the differentially expressed miRNAs, miR-1, miR-133b and miR-145* were selected for further validation with qRT-PCR in a different set of 21 recurrent and 21 non-recurrent PCa samples. Data were statistically analyzed using two-sided Student's t-test, Pearson Correlation test, Receiver operating characteristic analysis. Our results demonstrated that miR-1 and mir-133b have been significantly downregulated in recurrent PCa specimens in comparison to non-recurrent PCa samples and have sufficient power to distinguish recurrent specimens from non-recurrent ones on their own. Here, we report that the relative expression of miR-1 and mir-133b have been significantly reduced in recurrent PCa specimens in comparison to non-recurrent PCa samples, which can serve as novel biomarkers for prediction of PCa progression. Public Library of Science 2014-06-26 /pmc/articles/PMC4072786/ /pubmed/24967583 http://dx.doi.org/10.1371/journal.pone.0098675 Text en © 2014 Karatas et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Karatas, Omer Faruk
Guzel, Esra
Suer, Ilknur
Ekici, Isin D.
Caskurlu, Turhan
Creighton, Chad J.
Ittmann, Michael
Ozen, Mustafa
miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title_full miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title_fullStr miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title_full_unstemmed miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title_short miR-1 and miR-133b Are Differentially Expressed in Patients with Recurrent Prostate Cancer
title_sort mir-1 and mir-133b are differentially expressed in patients with recurrent prostate cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072786/
https://www.ncbi.nlm.nih.gov/pubmed/24967583
http://dx.doi.org/10.1371/journal.pone.0098675
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