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Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation
BACKGROUND: Craniopharyngioma (CP) is a benign slow-growing tumor. It tends to affect children, and the number of patients is on rise. Considering the high morbidity and mortality of CP, it is urgent and pivotal to identify new biomarkers to uncover the etiology and pathogenesis of CP. METHODS: The...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578790/ https://www.ncbi.nlm.nih.gov/pubmed/36268277 http://dx.doi.org/10.1155/2022/6891655 |
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author | Jia, Yanfei Wu, Wentao Xiao, Youchao Cai, Kefan Gui, Songbai Li, Qiang Li, Tian |
author_facet | Jia, Yanfei Wu, Wentao Xiao, Youchao Cai, Kefan Gui, Songbai Li, Qiang Li, Tian |
author_sort | Jia, Yanfei |
collection | PubMed |
description | BACKGROUND: Craniopharyngioma (CP) is a benign slow-growing tumor. It tends to affect children, and the number of patients is on rise. Considering the high morbidity and mortality of CP, it is urgent and pivotal to identify new biomarkers to uncover the etiology and pathogenesis of CP. METHODS: The “limma” package was utilized to calculate the data from the Gene Expression Omnibus (GEO) database. Based on differentially expressed genes (DEGs), gene ontology and pathway analysis were deduced from the DAVID web tool. Further, we constructed a protein-protein interaction (PPI) network. Weighted correlation network analysis (WGCNA) was utilized to build a coexpression network. Finally, Western blotting and survival analysis were performed to examine the expression level of important metabolism-related genes. RESULTS: Three hundred and eighty-four DEGs were identified between normal tissues and CPs from the GSE94349 and GSE26966 datasets. The Venn diagram for DEGs and hub genes in the ‘turquoise' module revealed four key genes. Finally, the outcome of the survival analysis suggested that Integrin α6 (ITGA6) significantly affected the overall survival time of the patients with CP. CONCLUSION: IGTA6, as a metabolism-related molecule, was found to be substantially related to the overall survival of patients with CP. |
format | Online Article Text |
id | pubmed-9578790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95787902022-10-19 Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation Jia, Yanfei Wu, Wentao Xiao, Youchao Cai, Kefan Gui, Songbai Li, Qiang Li, Tian J Oncol Research Article BACKGROUND: Craniopharyngioma (CP) is a benign slow-growing tumor. It tends to affect children, and the number of patients is on rise. Considering the high morbidity and mortality of CP, it is urgent and pivotal to identify new biomarkers to uncover the etiology and pathogenesis of CP. METHODS: The “limma” package was utilized to calculate the data from the Gene Expression Omnibus (GEO) database. Based on differentially expressed genes (DEGs), gene ontology and pathway analysis were deduced from the DAVID web tool. Further, we constructed a protein-protein interaction (PPI) network. Weighted correlation network analysis (WGCNA) was utilized to build a coexpression network. Finally, Western blotting and survival analysis were performed to examine the expression level of important metabolism-related genes. RESULTS: Three hundred and eighty-four DEGs were identified between normal tissues and CPs from the GSE94349 and GSE26966 datasets. The Venn diagram for DEGs and hub genes in the ‘turquoise' module revealed four key genes. Finally, the outcome of the survival analysis suggested that Integrin α6 (ITGA6) significantly affected the overall survival time of the patients with CP. CONCLUSION: IGTA6, as a metabolism-related molecule, was found to be substantially related to the overall survival of patients with CP. Hindawi 2022-10-11 /pmc/articles/PMC9578790/ /pubmed/36268277 http://dx.doi.org/10.1155/2022/6891655 Text en Copyright © 2022 Yanfei Jia et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jia, Yanfei Wu, Wentao Xiao, Youchao Cai, Kefan Gui, Songbai Li, Qiang Li, Tian Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title | Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title_full | Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title_fullStr | Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title_full_unstemmed | Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title_short | Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation |
title_sort | integrin α6 indicates a poor prognosis of craniopharyngioma through bioinformatic analysis and experimental validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578790/ https://www.ncbi.nlm.nih.gov/pubmed/36268277 http://dx.doi.org/10.1155/2022/6891655 |
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