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Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis
The incidence of patients under 55 years old diagnosed with Prostate Cancer (EO-PCa) has increased during recent years. The molecular biology of PCa cancer in this group of patients remains unclear. Here, we applied weighted gene coexpression network analysis of the expression of miRNAs from 24 EO-P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378055/ https://www.ncbi.nlm.nih.gov/pubmed/32704070 http://dx.doi.org/10.1038/s41598-020-69290-7 |
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author | Parra-Medina, Rafael López-Kleine, Liliana Ramírez-Clavijo, Sandra Payán-Gómez, César |
author_facet | Parra-Medina, Rafael López-Kleine, Liliana Ramírez-Clavijo, Sandra Payán-Gómez, César |
author_sort | Parra-Medina, Rafael |
collection | PubMed |
description | The incidence of patients under 55 years old diagnosed with Prostate Cancer (EO-PCa) has increased during recent years. The molecular biology of PCa cancer in this group of patients remains unclear. Here, we applied weighted gene coexpression network analysis of the expression of miRNAs from 24 EO-PCa patients (38–45 years) and 25 late-onset PCa patients (LO-PCa, 71–74 years) to identify key miRNAs in EO-PCa patients. In total, 69 differentially expressed miRNAs were identified. Specifically, 26 and 14 miRNAs were exclusively deregulated in young and elderly patients, respectively, and 29 miRNAs were shared. We identified 20 hub miRNAs for the network built for EO-PCa. Six of these hub miRNAs exhibited prognostic significance in relapse‐free or overall survival. Additionally, two of the hub miRNAs were coexpressed with mRNAs of genes previously identified as deregulated in EO-PCa and in the most aggressive forms of PCa in African-American patients compared with Caucasian patients. These genes are involved in activation of immune response pathways, increased rates of metastasis and poor prognosis in PCa patients. In conclusion, our analysis identified miRNAs that are potentially important in the molecular pathology of EO-PCa. These genes may serve as biomarkers in EO-PCa and as possible therapeutic targets. |
format | Online Article Text |
id | pubmed-7378055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73780552020-07-24 Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis Parra-Medina, Rafael López-Kleine, Liliana Ramírez-Clavijo, Sandra Payán-Gómez, César Sci Rep Article The incidence of patients under 55 years old diagnosed with Prostate Cancer (EO-PCa) has increased during recent years. The molecular biology of PCa cancer in this group of patients remains unclear. Here, we applied weighted gene coexpression network analysis of the expression of miRNAs from 24 EO-PCa patients (38–45 years) and 25 late-onset PCa patients (LO-PCa, 71–74 years) to identify key miRNAs in EO-PCa patients. In total, 69 differentially expressed miRNAs were identified. Specifically, 26 and 14 miRNAs were exclusively deregulated in young and elderly patients, respectively, and 29 miRNAs were shared. We identified 20 hub miRNAs for the network built for EO-PCa. Six of these hub miRNAs exhibited prognostic significance in relapse‐free or overall survival. Additionally, two of the hub miRNAs were coexpressed with mRNAs of genes previously identified as deregulated in EO-PCa and in the most aggressive forms of PCa in African-American patients compared with Caucasian patients. These genes are involved in activation of immune response pathways, increased rates of metastasis and poor prognosis in PCa patients. In conclusion, our analysis identified miRNAs that are potentially important in the molecular pathology of EO-PCa. These genes may serve as biomarkers in EO-PCa and as possible therapeutic targets. Nature Publishing Group UK 2020-07-23 /pmc/articles/PMC7378055/ /pubmed/32704070 http://dx.doi.org/10.1038/s41598-020-69290-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Parra-Medina, Rafael López-Kleine, Liliana Ramírez-Clavijo, Sandra Payán-Gómez, César Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title | Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title_full | Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title_fullStr | Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title_full_unstemmed | Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title_short | Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis |
title_sort | identification of candidate mirnas in early-onset and late-onset prostate cancer by network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378055/ https://www.ncbi.nlm.nih.gov/pubmed/32704070 http://dx.doi.org/10.1038/s41598-020-69290-7 |
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