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Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis
BACKGROUND: Papillary thyroid carcinoma (PTC) has increased rapidly over recent years, and radiation, hormone effects, gene mutations, and others were viewed as closely related. However, the molecular mechanisms of PTC have not been cleared. Therefore, we intended to screen more accurate key genes a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532047/ https://www.ncbi.nlm.nih.gov/pubmed/33061614 http://dx.doi.org/10.2147/CMAR.S266473 |
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author | Peng, Ying Zhang, Han-Wen Cao, Wei-Han Mao, Ying Cheng, Ruo-Chuan |
author_facet | Peng, Ying Zhang, Han-Wen Cao, Wei-Han Mao, Ying Cheng, Ruo-Chuan |
author_sort | Peng, Ying |
collection | PubMed |
description | BACKGROUND: Papillary thyroid carcinoma (PTC) has increased rapidly over recent years, and radiation, hormone effects, gene mutations, and others were viewed as closely related. However, the molecular mechanisms of PTC have not been cleared. Therefore, we intended to screen more accurate key genes and pathways of PTC by combining RT(2) profiler PCR arrays and bioinformatics methods in this study. MATERIALS AND METHODS: RT(2) profiler PCR arrays were firstly analyzed to identify differential expression genes (DEGs) in PTC. RT-qPCR were performed to verify the most significant differential expression genes. The TCGA database was used to further verify for expanded data. Enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was analyzed. To construct the protein–protein interaction (PPI) network, we used STRING and Cytoscape to make module analysis of these DEGs. RESULTS: Sixteen differentially expressed genes were presented in RT(2) profiler PCR arrays, including 13 down-regulated DEGs (DEGs) and three up-regulated DEGs (DEGs), while 13 stable DEGs were eventually verified. A total of 155 DEGs were presented in the TCGA database, including 82 up-regulated DEGs (DEGs) and 73 down-regulated DEGs (dDEGs). A total of 29 important genes were extracted after integrating these two results, GO and KEGG analyses were used to observe the possible mechanisms of action of these DEGs. The PPI network was constructed to observe hub genes. Prognostic analysis further demonstrated the involvement of these genes in the biological processes of PTC. CONCLUSION: This study identified some potential molecular targets and signal pathways, which might help us raise our awareness of the mechanisms of PTC. |
format | Online Article Text |
id | pubmed-7532047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-75320472020-10-14 Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis Peng, Ying Zhang, Han-Wen Cao, Wei-Han Mao, Ying Cheng, Ruo-Chuan Cancer Manag Res Original Research BACKGROUND: Papillary thyroid carcinoma (PTC) has increased rapidly over recent years, and radiation, hormone effects, gene mutations, and others were viewed as closely related. However, the molecular mechanisms of PTC have not been cleared. Therefore, we intended to screen more accurate key genes and pathways of PTC by combining RT(2) profiler PCR arrays and bioinformatics methods in this study. MATERIALS AND METHODS: RT(2) profiler PCR arrays were firstly analyzed to identify differential expression genes (DEGs) in PTC. RT-qPCR were performed to verify the most significant differential expression genes. The TCGA database was used to further verify for expanded data. Enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was analyzed. To construct the protein–protein interaction (PPI) network, we used STRING and Cytoscape to make module analysis of these DEGs. RESULTS: Sixteen differentially expressed genes were presented in RT(2) profiler PCR arrays, including 13 down-regulated DEGs (DEGs) and three up-regulated DEGs (DEGs), while 13 stable DEGs were eventually verified. A total of 155 DEGs were presented in the TCGA database, including 82 up-regulated DEGs (DEGs) and 73 down-regulated DEGs (dDEGs). A total of 29 important genes were extracted after integrating these two results, GO and KEGG analyses were used to observe the possible mechanisms of action of these DEGs. The PPI network was constructed to observe hub genes. Prognostic analysis further demonstrated the involvement of these genes in the biological processes of PTC. CONCLUSION: This study identified some potential molecular targets and signal pathways, which might help us raise our awareness of the mechanisms of PTC. Dove 2020-09-28 /pmc/articles/PMC7532047/ /pubmed/33061614 http://dx.doi.org/10.2147/CMAR.S266473 Text en © 2020 Peng et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Peng, Ying Zhang, Han-Wen Cao, Wei-Han Mao, Ying Cheng, Ruo-Chuan Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title | Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title_full | Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title_fullStr | Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title_full_unstemmed | Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title_short | Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT(2) Profiler PCR Arrays and Bioinformatics Analysis |
title_sort | exploration of the potential biomarkers of papillary thyroid cancer (ptc) based on rt(2) profiler pcr arrays and bioinformatics analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532047/ https://www.ncbi.nlm.nih.gov/pubmed/33061614 http://dx.doi.org/10.2147/CMAR.S266473 |
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