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IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma
BACKGROUND: In cancer, kappa B-interacting protein (IKBIP) has rarely been reported. This study aimed at investigating its expression pattern and biological function in brain glioma at the transcriptional level. METHODS: We selected 301 glioma patients with microarray data from CGGA database and 697...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821420/ https://www.ncbi.nlm.nih.gov/pubmed/33552590 http://dx.doi.org/10.1515/tnsci-2021-0002 |
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author | Yang, Ying Wang, Jin Xu, Shihai Lv, Wen Shi, Fei Shan, Aijun |
author_facet | Yang, Ying Wang, Jin Xu, Shihai Lv, Wen Shi, Fei Shan, Aijun |
author_sort | Yang, Ying |
collection | PubMed |
description | BACKGROUND: In cancer, kappa B-interacting protein (IKBIP) has rarely been reported. This study aimed at investigating its expression pattern and biological function in brain glioma at the transcriptional level. METHODS: We selected 301 glioma patients with microarray data from CGGA database and 697 glioma patients with RNAseq data from TCGA database. Transcriptional data and clinical data of 998 samples were analyzed. Statistical analysis and figure generating were performed with R language. RESULTS: We found that IKBIP expression showed positive correlation with WHO grade of glioma. IKBIP was increased in isocitrate dehydrogenase (IDH) wild type and mesenchymal molecular subtype of glioma. Gene ontology analysis demonstrated that IKBIP was profoundly associated with extracellular matrix organization, cell–substrate adhesion and response to wounding in both pan-glioma and glioblastoma. Subsequent gene set enrichment analysis revealed that IKBIP was particularly correlated with epithelial-to-mesenchymal transition (EMT). To further elucidate the relationship between IKBIP and EMT, we performed gene set variation analysis to screen the EMT-related signaling pathways and found that IKBIP expression was significantly associated with PI3K/AKT, hypoxia and TGF-β pathway. Moreover, IKBIP expression was found to be synergistic with key biomarkers of EMT, especially with N-cadherin, vimentin, snail, slug and TWIST1. Finally, higher IKBIP indicated significantly shorter survival for glioma patients. CONCLUSIONS: IKBIP was associated with more aggressive phenotypes of gliomas. Furthermore, IKBIP was significantly involved in EMT and could serve as an independent prognosticator in glioma. |
format | Online Article Text |
id | pubmed-7821420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-78214202021-02-04 IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma Yang, Ying Wang, Jin Xu, Shihai Lv, Wen Shi, Fei Shan, Aijun Transl Neurosci Research Article BACKGROUND: In cancer, kappa B-interacting protein (IKBIP) has rarely been reported. This study aimed at investigating its expression pattern and biological function in brain glioma at the transcriptional level. METHODS: We selected 301 glioma patients with microarray data from CGGA database and 697 glioma patients with RNAseq data from TCGA database. Transcriptional data and clinical data of 998 samples were analyzed. Statistical analysis and figure generating were performed with R language. RESULTS: We found that IKBIP expression showed positive correlation with WHO grade of glioma. IKBIP was increased in isocitrate dehydrogenase (IDH) wild type and mesenchymal molecular subtype of glioma. Gene ontology analysis demonstrated that IKBIP was profoundly associated with extracellular matrix organization, cell–substrate adhesion and response to wounding in both pan-glioma and glioblastoma. Subsequent gene set enrichment analysis revealed that IKBIP was particularly correlated with epithelial-to-mesenchymal transition (EMT). To further elucidate the relationship between IKBIP and EMT, we performed gene set variation analysis to screen the EMT-related signaling pathways and found that IKBIP expression was significantly associated with PI3K/AKT, hypoxia and TGF-β pathway. Moreover, IKBIP expression was found to be synergistic with key biomarkers of EMT, especially with N-cadherin, vimentin, snail, slug and TWIST1. Finally, higher IKBIP indicated significantly shorter survival for glioma patients. CONCLUSIONS: IKBIP was associated with more aggressive phenotypes of gliomas. Furthermore, IKBIP was significantly involved in EMT and could serve as an independent prognosticator in glioma. De Gruyter 2021-01-08 /pmc/articles/PMC7821420/ /pubmed/33552590 http://dx.doi.org/10.1515/tnsci-2021-0002 Text en © 2021 Ying Yang et al., published by De Gruyter http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Yang, Ying Wang, Jin Xu, Shihai Lv, Wen Shi, Fei Shan, Aijun IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title |
IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title_full |
IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title_fullStr |
IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title_full_unstemmed |
IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title_short |
IKBIP is a novel EMT-related biomarker and predicts poor survival in glioma |
title_sort | ikbip is a novel emt-related biomarker and predicts poor survival in glioma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821420/ https://www.ncbi.nlm.nih.gov/pubmed/33552590 http://dx.doi.org/10.1515/tnsci-2021-0002 |
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