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The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer

Purpose: The present study aims to explore the potential mechanisms contributing to prostate cancer (PCa), screen the hub genes, and identify potential biomarkers and correlated pathways of PCa progression. Methods: The PCa gene expression profile GSE3325 was operated to analyze the differentially e...

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Autores principales: Song, Zhengshuai, Huang, Yu, Zhao, Ye, Ruan, Hailong, Yang, Hongmei, Cao, Qi, Liu, Di, Zhang, Xiaoping, Chen, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485223/
https://www.ncbi.nlm.nih.gov/pubmed/31031850
http://dx.doi.org/10.7150/jca.29571
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author Song, Zhengshuai
Huang, Yu
Zhao, Ye
Ruan, Hailong
Yang, Hongmei
Cao, Qi
Liu, Di
Zhang, Xiaoping
Chen, Ke
author_facet Song, Zhengshuai
Huang, Yu
Zhao, Ye
Ruan, Hailong
Yang, Hongmei
Cao, Qi
Liu, Di
Zhang, Xiaoping
Chen, Ke
author_sort Song, Zhengshuai
collection PubMed
description Purpose: The present study aims to explore the potential mechanisms contributing to prostate cancer (PCa), screen the hub genes, and identify potential biomarkers and correlated pathways of PCa progression. Methods: The PCa gene expression profile GSE3325 was operated to analyze the differentially expressed genes (DEGs). DAVID was used to evaluate Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was constructed to visualize interactions of the hub genes. The prognostic and diagnostic analysis of these hub genes was carried out to evaluate their potential effects on PCa. Results: A total of 847 DEGs were identified (427 upregulated genes and 420 downregulated genes). Meanwhile, top15 hub genes were showed. GO analysis displayed that the DEGs were mainly enriched in cell cycle, DNA damage response, signal transduction by p53 class mediator resulting in cell cycle arrest and proteinaceous extracellular matrix. KEGG analysis indicated the DEGs were enriched in the p53 signaling pathway and cell cycle pathway. The GO and KEGG enrichment analyses for the DEGs disclosed important biological features of PCa. PPI network showed the interaction of top 15 hub genes. Gene Set Enrichment Analysis (GSEA) revealed that some of the hub genes were associated with biochemical recurrence (BCR) and metastasis of PCa. Some top hub genes were distinctive and new discoveries compared with that of the existing associated researches. Conclusions: Our analysis revealed that the changes of cell cycle and p53 signaling pathway are two major signatures of PCa. CENPA, KIF20A and CDCA8 might promote the tumorigenesis and progression of PCa, especially in BCR and metastasis, which could be novel therapeutic targets and biomarkers for diagnosis, prognosis of PCa.
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spelling pubmed-64852232019-04-26 The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer Song, Zhengshuai Huang, Yu Zhao, Ye Ruan, Hailong Yang, Hongmei Cao, Qi Liu, Di Zhang, Xiaoping Chen, Ke J Cancer Research Paper Purpose: The present study aims to explore the potential mechanisms contributing to prostate cancer (PCa), screen the hub genes, and identify potential biomarkers and correlated pathways of PCa progression. Methods: The PCa gene expression profile GSE3325 was operated to analyze the differentially expressed genes (DEGs). DAVID was used to evaluate Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was constructed to visualize interactions of the hub genes. The prognostic and diagnostic analysis of these hub genes was carried out to evaluate their potential effects on PCa. Results: A total of 847 DEGs were identified (427 upregulated genes and 420 downregulated genes). Meanwhile, top15 hub genes were showed. GO analysis displayed that the DEGs were mainly enriched in cell cycle, DNA damage response, signal transduction by p53 class mediator resulting in cell cycle arrest and proteinaceous extracellular matrix. KEGG analysis indicated the DEGs were enriched in the p53 signaling pathway and cell cycle pathway. The GO and KEGG enrichment analyses for the DEGs disclosed important biological features of PCa. PPI network showed the interaction of top 15 hub genes. Gene Set Enrichment Analysis (GSEA) revealed that some of the hub genes were associated with biochemical recurrence (BCR) and metastasis of PCa. Some top hub genes were distinctive and new discoveries compared with that of the existing associated researches. Conclusions: Our analysis revealed that the changes of cell cycle and p53 signaling pathway are two major signatures of PCa. CENPA, KIF20A and CDCA8 might promote the tumorigenesis and progression of PCa, especially in BCR and metastasis, which could be novel therapeutic targets and biomarkers for diagnosis, prognosis of PCa. Ivyspring International Publisher 2019-02-23 /pmc/articles/PMC6485223/ /pubmed/31031850 http://dx.doi.org/10.7150/jca.29571 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Song, Zhengshuai
Huang, Yu
Zhao, Ye
Ruan, Hailong
Yang, Hongmei
Cao, Qi
Liu, Di
Zhang, Xiaoping
Chen, Ke
The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title_full The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title_fullStr The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title_full_unstemmed The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title_short The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer
title_sort identification of potential biomarkers and biological pathways in prostate cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485223/
https://www.ncbi.nlm.nih.gov/pubmed/31031850
http://dx.doi.org/10.7150/jca.29571
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