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Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma

Molecular data generation and their combination in penile carcinomas (PeCa), a significant public health problem in poor and underdeveloped countries, remain virtually unexplored. An integrativemethodology combin ing genome-wide copy number alteration, DNA methylation, miRNA and mRNA expression anal...

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Autores principales: Marchi, Fabio Albuquerque, Martins, David Correa, Barros-Filho, Mateus Camargo, Kuasne, Hellen, Busso Lopes, Ariane Fidelis, Brentani, Helena, Trindade Filho, Jose Carlos Souza, Guimarães, Gustavo Cardoso, Faria, Eliney F., Scapulatempo-Neto, Cristovam, Lopes, Ademar, Rogatto, Silvia Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532302/
https://www.ncbi.nlm.nih.gov/pubmed/28751665
http://dx.doi.org/10.1038/s41598-017-06659-1
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author Marchi, Fabio Albuquerque
Martins, David Correa
Barros-Filho, Mateus Camargo
Kuasne, Hellen
Busso Lopes, Ariane Fidelis
Brentani, Helena
Trindade Filho, Jose Carlos Souza
Guimarães, Gustavo Cardoso
Faria, Eliney F.
Scapulatempo-Neto, Cristovam
Lopes, Ademar
Rogatto, Silvia Regina
author_facet Marchi, Fabio Albuquerque
Martins, David Correa
Barros-Filho, Mateus Camargo
Kuasne, Hellen
Busso Lopes, Ariane Fidelis
Brentani, Helena
Trindade Filho, Jose Carlos Souza
Guimarães, Gustavo Cardoso
Faria, Eliney F.
Scapulatempo-Neto, Cristovam
Lopes, Ademar
Rogatto, Silvia Regina
author_sort Marchi, Fabio Albuquerque
collection PubMed
description Molecular data generation and their combination in penile carcinomas (PeCa), a significant public health problem in poor and underdeveloped countries, remain virtually unexplored. An integrativemethodology combin ing genome-wide copy number alteration, DNA methylation, miRNA and mRNA expression analysis was performed in a set of 20 usual PeCa. The well-ranked 16 driver candidates harboring genomic alterations and regulated by a set of miRNAs, including hsa-miR-31, hsa-miR-34a and hsa-miR-130b, were significantly associated with over-represented pathways in cancer, such as immune-inflammatory system, apoptosis and cell cycle. Modules of co-expressed genes generated from expression matrix were associated with driver candidates and classified according to the over-representation of passengers, thus suggesting an alteration of the pathway dynamics during the carcinogenesis. This association resulted in 10 top driver candidates (AR, BIRC5, DNMT3B, ERBB4, FGFR1, PML, PPARG, RB1, TNFSF10 and STAT1) selected and confirmed as altered in an independent set of 33 PeCa samples. In addition to the potential driver genes herein described, shorter overall survival was associated with BIRC5 and DNMT3B overexpression (log-rank test, P = 0.026 and P = 0.002, respectively) highlighting its potential as novel prognostic marker for penile cancer.
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spelling pubmed-55323022017-08-02 Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma Marchi, Fabio Albuquerque Martins, David Correa Barros-Filho, Mateus Camargo Kuasne, Hellen Busso Lopes, Ariane Fidelis Brentani, Helena Trindade Filho, Jose Carlos Souza Guimarães, Gustavo Cardoso Faria, Eliney F. Scapulatempo-Neto, Cristovam Lopes, Ademar Rogatto, Silvia Regina Sci Rep Article Molecular data generation and their combination in penile carcinomas (PeCa), a significant public health problem in poor and underdeveloped countries, remain virtually unexplored. An integrativemethodology combin ing genome-wide copy number alteration, DNA methylation, miRNA and mRNA expression analysis was performed in a set of 20 usual PeCa. The well-ranked 16 driver candidates harboring genomic alterations and regulated by a set of miRNAs, including hsa-miR-31, hsa-miR-34a and hsa-miR-130b, were significantly associated with over-represented pathways in cancer, such as immune-inflammatory system, apoptosis and cell cycle. Modules of co-expressed genes generated from expression matrix were associated with driver candidates and classified according to the over-representation of passengers, thus suggesting an alteration of the pathway dynamics during the carcinogenesis. This association resulted in 10 top driver candidates (AR, BIRC5, DNMT3B, ERBB4, FGFR1, PML, PPARG, RB1, TNFSF10 and STAT1) selected and confirmed as altered in an independent set of 33 PeCa samples. In addition to the potential driver genes herein described, shorter overall survival was associated with BIRC5 and DNMT3B overexpression (log-rank test, P = 0.026 and P = 0.002, respectively) highlighting its potential as novel prognostic marker for penile cancer. Nature Publishing Group UK 2017-07-27 /pmc/articles/PMC5532302/ /pubmed/28751665 http://dx.doi.org/10.1038/s41598-017-06659-1 Text en © The Author(s) 2017 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
Marchi, Fabio Albuquerque
Martins, David Correa
Barros-Filho, Mateus Camargo
Kuasne, Hellen
Busso Lopes, Ariane Fidelis
Brentani, Helena
Trindade Filho, Jose Carlos Souza
Guimarães, Gustavo Cardoso
Faria, Eliney F.
Scapulatempo-Neto, Cristovam
Lopes, Ademar
Rogatto, Silvia Regina
Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title_full Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title_fullStr Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title_full_unstemmed Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title_short Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
title_sort multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532302/
https://www.ncbi.nlm.nih.gov/pubmed/28751665
http://dx.doi.org/10.1038/s41598-017-06659-1
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