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Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis

TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially exp...

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Autores principales: Yi, Guo-zhong, Xiang, Wei, Feng, Wen-yan, Chen, Zi-yang, Li, Yao-min, Deng, Sheng-ze, Guo, Man-lan, Zhao, Liang, Sun, Xue-gang, He, Min-yi, Qi, Song-tao, Liu, Ya-wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852899/
https://www.ncbi.nlm.nih.gov/pubmed/29687002
http://dx.doi.org/10.1155/2018/5238760
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author Yi, Guo-zhong
Xiang, Wei
Feng, Wen-yan
Chen, Zi-yang
Li, Yao-min
Deng, Sheng-ze
Guo, Man-lan
Zhao, Liang
Sun, Xue-gang
He, Min-yi
Qi, Song-tao
Liu, Ya-wei
author_facet Yi, Guo-zhong
Xiang, Wei
Feng, Wen-yan
Chen, Zi-yang
Li, Yao-min
Deng, Sheng-ze
Guo, Man-lan
Zhao, Liang
Sun, Xue-gang
He, Min-yi
Qi, Song-tao
Liu, Ya-wei
author_sort Yi, Guo-zhong
collection PubMed
description TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein–protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset. A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified. Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies. Further, the most significant module consisted of 28 downregulated proteins that were filtered from the PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway. Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance in GBM using proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future.
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spelling pubmed-58528992018-04-23 Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis Yi, Guo-zhong Xiang, Wei Feng, Wen-yan Chen, Zi-yang Li, Yao-min Deng, Sheng-ze Guo, Man-lan Zhao, Liang Sun, Xue-gang He, Min-yi Qi, Song-tao Liu, Ya-wei Biomed Res Int Research Article TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein–protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset. A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified. Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies. Further, the most significant module consisted of 28 downregulated proteins that were filtered from the PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway. Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance in GBM using proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future. Hindawi 2018-03-01 /pmc/articles/PMC5852899/ /pubmed/29687002 http://dx.doi.org/10.1155/2018/5238760 Text en Copyright © 2018 Guo-zhong Yi 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
Yi, Guo-zhong
Xiang, Wei
Feng, Wen-yan
Chen, Zi-yang
Li, Yao-min
Deng, Sheng-ze
Guo, Man-lan
Zhao, Liang
Sun, Xue-gang
He, Min-yi
Qi, Song-tao
Liu, Ya-wei
Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title_full Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title_fullStr Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title_full_unstemmed Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title_short Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
title_sort identification of key candidate proteins and pathways associated with temozolomide resistance in glioblastoma based on subcellular proteomics and bioinformatical analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852899/
https://www.ncbi.nlm.nih.gov/pubmed/29687002
http://dx.doi.org/10.1155/2018/5238760
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