Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis

Yong Qin Department of Thyroid Surgery, Bishan Hospital of Chongqing, Chongqing, 402760, People’s Republic of ChinaCorrespondence: Yong QinDepartment of Thyroid Surgery, Bishan Hospital of Chongqing, 9 Shuang Xing Avenue, Bishan District, Chongqing, 402760, People’s Republic of ChinaTel +86151232020...

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Main Author: Qin Y
Format: Article
Language:English
Published: Dove Medical Press 2021-09-01
Series:International Journal of General Medicine
Subjects:
Online Access:https://www.dovepress.com/identification-of-prognosis-associated-biomarkers-in-thyroid-carcinoma-peer-reviewed-fulltext-article-IJGM
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spelling doaj-8111eee920e245bc9013863ca5d8c8d32021-09-16T19:51:46ZengDove Medical PressInternational Journal of General Medicine1178-70742021-09-01Volume 145737574768863Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics AnalysisQin YYong Qin Department of Thyroid Surgery, Bishan Hospital of Chongqing, Chongqing, 402760, People’s Republic of ChinaCorrespondence: Yong QinDepartment of Thyroid Surgery, Bishan Hospital of Chongqing, 9 Shuang Xing Avenue, Bishan District, Chongqing, 402760, People’s Republic of ChinaTel +8615123202002Email qinyong226@126.comBackground: This study aimed to identify the key genes associated with prognosis in thyroid cancer (TC), and to explore potential pathways.Methods: GSE66783, GSE58545, and GSE129562 datasets were used to identify differentially expressed genes (DEGs) between tumor and normal tissues, followed by KEGG analyses on DEGs. The protein–protein interaction (PPI) network of DEGs was subsequently constructed to find the top 10 hub genes and seed genes in the whole network. Furthermore, the mRNA expressions of hub genes and prognostic values were explored. Regarding the seed gene, pathway activity score and GSEA analyses were conducted as well.Results: 1) A total of 183 DEGs were consistently expressed in three datasets comprising 76 up-regulated and 107 down-regulated genes. DEGs were mainly enriched in the p53 signaling pathway, complement and coagulation cascades, and hedgehog signaling pathway. 2) The top 10 hub genes, including CCND1, TIMP1, ICAM1, MET, PLAU, LDLR, PLAUR, ITGA2, ITGA3, and LGALS3, were identified. All hub genes were highly expressed in TC compared with normal samples. 3) High expression of CCND1, TIMP1, MET, and LGALS3 statistically correlated with a favorable prognosis of patients. Poor survival was observed in patients with ITGA2 and ITGA3 high expression. There was no association between ICAM1, PLAU, and PLAUR expression and survival of patients. LGALS3 and TIMP1 were further identified as independent prognostic factors in TC. 4) Among 10 hub genes, TIMP1 was determined as the seed gene, indicating its significance in the whole network. We further found that in most of the famous cancer-related pathways, TIMP1 higher expression caused a lower pathway activity, suggesting its inhibitory effect to these pathways in TC. In addition, TIMP1 positively correlated with the p53 signaling pathway, complement, and coagulation cascades involved in TC.Conclusion: The present study provided seven prognosis-associated genes in TC and revealed several significant pathways, which contributed to elucidate the pathogenesis of TC.Keywords: thyroid cancer, differentially expressed genes, prognosis, TIMP1https://www.dovepress.com/identification-of-prognosis-associated-biomarkers-in-thyroid-carcinoma-peer-reviewed-fulltext-article-IJGMthyroid cancerdifferentially expressed genesprognosistimp1
collection DOAJ
language English
format Article
sources DOAJ
author Qin Y
spellingShingle Qin Y
Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
International Journal of General Medicine
thyroid cancer
differentially expressed genes
prognosis
timp1
author_facet Qin Y
author_sort Qin Y
title Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
title_short Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
title_full Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
title_fullStr Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
title_full_unstemmed Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma by a Bioinformatics Analysis
title_sort identification of prognosis-associated biomarkers in thyroid carcinoma by a bioinformatics analysis
publisher Dove Medical Press
series International Journal of General Medicine
issn 1178-7074
publishDate 2021-09-01
description Yong Qin Department of Thyroid Surgery, Bishan Hospital of Chongqing, Chongqing, 402760, People’s Republic of ChinaCorrespondence: Yong QinDepartment of Thyroid Surgery, Bishan Hospital of Chongqing, 9 Shuang Xing Avenue, Bishan District, Chongqing, 402760, People’s Republic of ChinaTel +8615123202002Email qinyong226@126.comBackground: This study aimed to identify the key genes associated with prognosis in thyroid cancer (TC), and to explore potential pathways.Methods: GSE66783, GSE58545, and GSE129562 datasets were used to identify differentially expressed genes (DEGs) between tumor and normal tissues, followed by KEGG analyses on DEGs. The protein–protein interaction (PPI) network of DEGs was subsequently constructed to find the top 10 hub genes and seed genes in the whole network. Furthermore, the mRNA expressions of hub genes and prognostic values were explored. Regarding the seed gene, pathway activity score and GSEA analyses were conducted as well.Results: 1) A total of 183 DEGs were consistently expressed in three datasets comprising 76 up-regulated and 107 down-regulated genes. DEGs were mainly enriched in the p53 signaling pathway, complement and coagulation cascades, and hedgehog signaling pathway. 2) The top 10 hub genes, including CCND1, TIMP1, ICAM1, MET, PLAU, LDLR, PLAUR, ITGA2, ITGA3, and LGALS3, were identified. All hub genes were highly expressed in TC compared with normal samples. 3) High expression of CCND1, TIMP1, MET, and LGALS3 statistically correlated with a favorable prognosis of patients. Poor survival was observed in patients with ITGA2 and ITGA3 high expression. There was no association between ICAM1, PLAU, and PLAUR expression and survival of patients. LGALS3 and TIMP1 were further identified as independent prognostic factors in TC. 4) Among 10 hub genes, TIMP1 was determined as the seed gene, indicating its significance in the whole network. We further found that in most of the famous cancer-related pathways, TIMP1 higher expression caused a lower pathway activity, suggesting its inhibitory effect to these pathways in TC. In addition, TIMP1 positively correlated with the p53 signaling pathway, complement, and coagulation cascades involved in TC.Conclusion: The present study provided seven prognosis-associated genes in TC and revealed several significant pathways, which contributed to elucidate the pathogenesis of TC.Keywords: thyroid cancer, differentially expressed genes, prognosis, TIMP1
topic thyroid cancer
differentially expressed genes
prognosis
timp1
url https://www.dovepress.com/identification-of-prognosis-associated-biomarkers-in-thyroid-carcinoma-peer-reviewed-fulltext-article-IJGM
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