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Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer
BACKGROUND: The detection rate of thyroid cancer (TC) has been continuously improved due to the development of detection technology. Epithelial–mesenchymal transition (EMT) is thought to be closely related to the malignant progression of tumors. However, the relationship between EMT-related genes (E...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127002/ https://www.ncbi.nlm.nih.gov/pubmed/34012269 http://dx.doi.org/10.2147/OTT.S301127 |
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author | Li, Qiang Jiang, Sheng Feng, Tienan Zhu, Tengteng Qian, Biyun |
author_facet | Li, Qiang Jiang, Sheng Feng, Tienan Zhu, Tengteng Qian, Biyun |
author_sort | Li, Qiang |
collection | PubMed |
description | BACKGROUND: The detection rate of thyroid cancer (TC) has been continuously improved due to the development of detection technology. Epithelial–mesenchymal transition (EMT) is thought to be closely related to the malignant progression of tumors. However, the relationship between EMT-related genes (ERGs) characteristics and the diagnosis and prognosis of TC patients has not been studied. METHODS: Four datasets from Gene Expression Omnibus (GEO) were used to perform transcriptomic profile analysis. The overlapping differentially expressed ERGs (DEERGs) were analyzed using the R package “limma”. Then, the hub genes, which had a higher degree, were identified by the protein–protein interaction (PPI) network. Gene expression analysis between the TC and normal data, the disease-free survival (DFS) analysis of TC patients from The Cancer Genome Atlas Thyroid Cancer (TCGA-THCA) cohort, function analysis, and immunohistochemistry (IHC) were performed to verify the importance of the hub genes. Finally, a prognostic risk scoring was constructed to predict DFS in patients with the selected genes. RESULTS: A total of 43 DEERGs were identified and 10 DEERGs were considered hub ERGs, which had a high degree of connectivity in the PPI network. Then, the differential expressions of FN1, ITGA2, and KIT between TC and normal tissues were verified in the TCGA-THCA cohort and their protein expressions were also verified by IHC. DFS analysis indicated upregulations of FN1 expression (P<0.01) and ITGA2 expression (P<0.01) and downregulation of KIT expression (P=0.01) increased risks of decreased DFS for TCGA-THCA patients. Besides, by building a prognostic risk scoring model, we found that the DFS of TCGA-THCA patients was significantly worse in high-risk groups. CONCLUSION: In summary, these hub ERGs were potential biomarkers for diagnosis and prognosis of TC, which can provide a basis for further exploring the efficacy of EMT in patients with TC. |
format | Online Article Text |
id | pubmed-8127002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-81270022021-05-18 Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer Li, Qiang Jiang, Sheng Feng, Tienan Zhu, Tengteng Qian, Biyun Onco Targets Ther Original Research BACKGROUND: The detection rate of thyroid cancer (TC) has been continuously improved due to the development of detection technology. Epithelial–mesenchymal transition (EMT) is thought to be closely related to the malignant progression of tumors. However, the relationship between EMT-related genes (ERGs) characteristics and the diagnosis and prognosis of TC patients has not been studied. METHODS: Four datasets from Gene Expression Omnibus (GEO) were used to perform transcriptomic profile analysis. The overlapping differentially expressed ERGs (DEERGs) were analyzed using the R package “limma”. Then, the hub genes, which had a higher degree, were identified by the protein–protein interaction (PPI) network. Gene expression analysis between the TC and normal data, the disease-free survival (DFS) analysis of TC patients from The Cancer Genome Atlas Thyroid Cancer (TCGA-THCA) cohort, function analysis, and immunohistochemistry (IHC) were performed to verify the importance of the hub genes. Finally, a prognostic risk scoring was constructed to predict DFS in patients with the selected genes. RESULTS: A total of 43 DEERGs were identified and 10 DEERGs were considered hub ERGs, which had a high degree of connectivity in the PPI network. Then, the differential expressions of FN1, ITGA2, and KIT between TC and normal tissues were verified in the TCGA-THCA cohort and their protein expressions were also verified by IHC. DFS analysis indicated upregulations of FN1 expression (P<0.01) and ITGA2 expression (P<0.01) and downregulation of KIT expression (P=0.01) increased risks of decreased DFS for TCGA-THCA patients. Besides, by building a prognostic risk scoring model, we found that the DFS of TCGA-THCA patients was significantly worse in high-risk groups. CONCLUSION: In summary, these hub ERGs were potential biomarkers for diagnosis and prognosis of TC, which can provide a basis for further exploring the efficacy of EMT in patients with TC. Dove 2021-05-12 /pmc/articles/PMC8127002/ /pubmed/34012269 http://dx.doi.org/10.2147/OTT.S301127 Text en © 2021 Li et al. https://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/ (https://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 Li, Qiang Jiang, Sheng Feng, Tienan Zhu, Tengteng Qian, Biyun Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title | Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title_full | Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title_fullStr | Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title_full_unstemmed | Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title_short | Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer |
title_sort | identification of the emt-related genes signature for predicting occurrence and progression in thyroid cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127002/ https://www.ncbi.nlm.nih.gov/pubmed/34012269 http://dx.doi.org/10.2147/OTT.S301127 |
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