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Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer

Thyroid cancer (TC) is one of the most common types of malignancy of the endocrine-system. At present, there is a lack of effective methods to predict neck lymph node metastasis (LNM) in TC. The present study compared the expression profiles from The Cancer Genome Atlas between N1M0 and N0M0 subgrou...

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Autores principales: Lu, Si, Zhao, Rongjie, Shen, Jie, Zhang, Yu, Shi, Jingjing, Xu, Chenke, Chen, Jiali, Lin, Renbin, Han, Weidong, Luo, Dingcun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956406/
https://www.ncbi.nlm.nih.gov/pubmed/31966069
http://dx.doi.org/10.3892/ol.2019.11188
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author Lu, Si
Zhao, Rongjie
Shen, Jie
Zhang, Yu
Shi, Jingjing
Xu, Chenke
Chen, Jiali
Lin, Renbin
Han, Weidong
Luo, Dingcun
author_facet Lu, Si
Zhao, Rongjie
Shen, Jie
Zhang, Yu
Shi, Jingjing
Xu, Chenke
Chen, Jiali
Lin, Renbin
Han, Weidong
Luo, Dingcun
author_sort Lu, Si
collection PubMed
description Thyroid cancer (TC) is one of the most common types of malignancy of the endocrine-system. At present, there is a lack of effective methods to predict neck lymph node metastasis (LNM) in TC. The present study compared the expression profiles from The Cancer Genome Atlas between N1M0 and N0M0 subgroups in each T1-4 stages TC in order to identify the four groups of TC LNM-associated differentially expressed genes (DEGs). Subsequently, DEGs were combined to obtain a total of 493 integrated DEGs by using the method of Robust Rank Aggregation. Furthermore, the underlying mechanisms of LNM were investigated. The results from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses demonstrated that the identified DEGs may promote LNM via numerous pathways, including extracellular matrix-receptor interaction, PI3K-AKT signaling pathway and focal adhesion. Following construction of a protein-protein interaction network, the significance score for each gene was calculated and seven hub genes were screened, including interleukin 6, actinin α2, collagen type I α 1 chain, actin α1, calbindin 2, thrombospondin 1 and parathyroid hormone. These genes were predicted to serve crucial roles in TC with LNM. The results from the present study could therefore improve the understanding of LNM in TC. In addition, the seven DEGs identified may be considered as potential novel targets for the development of biomarkers that could be used in the diagnosis and therapy of TC.
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spelling pubmed-69564062020-01-21 Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer Lu, Si Zhao, Rongjie Shen, Jie Zhang, Yu Shi, Jingjing Xu, Chenke Chen, Jiali Lin, Renbin Han, Weidong Luo, Dingcun Oncol Lett Articles Thyroid cancer (TC) is one of the most common types of malignancy of the endocrine-system. At present, there is a lack of effective methods to predict neck lymph node metastasis (LNM) in TC. The present study compared the expression profiles from The Cancer Genome Atlas between N1M0 and N0M0 subgroups in each T1-4 stages TC in order to identify the four groups of TC LNM-associated differentially expressed genes (DEGs). Subsequently, DEGs were combined to obtain a total of 493 integrated DEGs by using the method of Robust Rank Aggregation. Furthermore, the underlying mechanisms of LNM were investigated. The results from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses demonstrated that the identified DEGs may promote LNM via numerous pathways, including extracellular matrix-receptor interaction, PI3K-AKT signaling pathway and focal adhesion. Following construction of a protein-protein interaction network, the significance score for each gene was calculated and seven hub genes were screened, including interleukin 6, actinin α2, collagen type I α 1 chain, actin α1, calbindin 2, thrombospondin 1 and parathyroid hormone. These genes were predicted to serve crucial roles in TC with LNM. The results from the present study could therefore improve the understanding of LNM in TC. In addition, the seven DEGs identified may be considered as potential novel targets for the development of biomarkers that could be used in the diagnosis and therapy of TC. D.A. Spandidos 2020-02 2019-12-06 /pmc/articles/PMC6956406/ /pubmed/31966069 http://dx.doi.org/10.3892/ol.2019.11188 Text en Copyright: © Lu 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
Lu, Si
Zhao, Rongjie
Shen, Jie
Zhang, Yu
Shi, Jingjing
Xu, Chenke
Chen, Jiali
Lin, Renbin
Han, Weidong
Luo, Dingcun
Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title_full Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title_fullStr Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title_full_unstemmed Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title_short Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
title_sort integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956406/
https://www.ncbi.nlm.nih.gov/pubmed/31966069
http://dx.doi.org/10.3892/ol.2019.11188
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