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Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis

Testicular seminoma is one of the most common tumours in the field of urology, and its aetiology is still unclear. The aim of the present study was to identify the factors responsible for the development of testicular cancer and to investigate whether mutations in these genes were primarily congenit...

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Autores principales: Wang, Kai, Chen, Yun, Zhao, Zhihong, Feng, Meiying, Zhang, Shouquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797975/
https://www.ncbi.nlm.nih.gov/pubmed/31545448
http://dx.doi.org/10.3892/mmr.2019.10684
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author Wang, Kai
Chen, Yun
Zhao, Zhihong
Feng, Meiying
Zhang, Shouquan
author_facet Wang, Kai
Chen, Yun
Zhao, Zhihong
Feng, Meiying
Zhang, Shouquan
author_sort Wang, Kai
collection PubMed
description Testicular seminoma is one of the most common tumours in the field of urology, and its aetiology is still unclear. The aim of the present study was to identify the factors responsible for the development of testicular cancer and to investigate whether mutations in these genes were primarily congenital or acquired. To identify the key genes and miRNAs linked to testicular seminoma, as well as their potential molecular mechanisms, the GSE15220, GSE1818 and GSE59520 microarray datasets were analysed. A total of 5,195 and 1,163 differentially expressed genes (DEGs) were identified after analysing the GSE15220 and GSE1818 datasets, respectively. Among them, 287 genes were common between the two datasets. Of these, 110 were upregulated and 177 were downregulated. Five differentially expressed microRNAs (miRs; DEMs) that were downregulated in seminoma were identified after analysing the GSE59520 dataset. Following protein-protein interaction network and Gene Ontology analysis, the five nodes with the highest degrees were screened as hub genes. Among them, the high expression of hub genes, such as protein tyrosine phosphatase receptor type C (PTPRC), was associated with worse overall survival. We also predicted the potential target genes of the DEMs. DNA topoisomerase II α (TOP2A), marker of proliferation Ki-67 (MKI67), PTPRC and ubiquitin conjugating enzyme E2 C were associated with the PI3K/AKT and Wnt/β-catenin signalling pathways. In addition, hsa-miR-650 and hsa-miR-665 were associated with the PI3K/AKT and Wnt/β-catenin signalling pathways. Additionally, TOP2A and MKI67 were strongly associated with the target genes hsa-miR-650 and hsa-miR-665, respectively. We proposed that the hub genes reported in the present study may have a certain impact on cellular proliferation and migration in testicular seminoma. The roles of these hub genes in seminoma may provide novel insight to improve the diagnosis and treatment of patients with seminoma.
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spelling pubmed-67979752019-10-22 Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis Wang, Kai Chen, Yun Zhao, Zhihong Feng, Meiying Zhang, Shouquan Mol Med Rep Articles Testicular seminoma is one of the most common tumours in the field of urology, and its aetiology is still unclear. The aim of the present study was to identify the factors responsible for the development of testicular cancer and to investigate whether mutations in these genes were primarily congenital or acquired. To identify the key genes and miRNAs linked to testicular seminoma, as well as their potential molecular mechanisms, the GSE15220, GSE1818 and GSE59520 microarray datasets were analysed. A total of 5,195 and 1,163 differentially expressed genes (DEGs) were identified after analysing the GSE15220 and GSE1818 datasets, respectively. Among them, 287 genes were common between the two datasets. Of these, 110 were upregulated and 177 were downregulated. Five differentially expressed microRNAs (miRs; DEMs) that were downregulated in seminoma were identified after analysing the GSE59520 dataset. Following protein-protein interaction network and Gene Ontology analysis, the five nodes with the highest degrees were screened as hub genes. Among them, the high expression of hub genes, such as protein tyrosine phosphatase receptor type C (PTPRC), was associated with worse overall survival. We also predicted the potential target genes of the DEMs. DNA topoisomerase II α (TOP2A), marker of proliferation Ki-67 (MKI67), PTPRC and ubiquitin conjugating enzyme E2 C were associated with the PI3K/AKT and Wnt/β-catenin signalling pathways. In addition, hsa-miR-650 and hsa-miR-665 were associated with the PI3K/AKT and Wnt/β-catenin signalling pathways. Additionally, TOP2A and MKI67 were strongly associated with the target genes hsa-miR-650 and hsa-miR-665, respectively. We proposed that the hub genes reported in the present study may have a certain impact on cellular proliferation and migration in testicular seminoma. The roles of these hub genes in seminoma may provide novel insight to improve the diagnosis and treatment of patients with seminoma. D.A. Spandidos 2019-11 2019-09-16 /pmc/articles/PMC6797975/ /pubmed/31545448 http://dx.doi.org/10.3892/mmr.2019.10684 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Kai
Chen, Yun
Zhao, Zhihong
Feng, Meiying
Zhang, Shouquan
Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title_full Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title_fullStr Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title_full_unstemmed Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title_short Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
title_sort identification of potential core genes and mirnas in testicular seminoma via bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797975/
https://www.ncbi.nlm.nih.gov/pubmed/31545448
http://dx.doi.org/10.3892/mmr.2019.10684
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