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High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma
Glioma is the most malignant brain tumor and glioblastoma (GBM) is the most aggressive type. The involvement of N-myc (and STAT) interactor (NMI) in tumorigenesis was sporadically reported but far from elucidation. This study aims to investigate roles of NMI in human glioma. Three independent cohort...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467123/ https://www.ncbi.nlm.nih.gov/pubmed/25669971 |
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author | Meng, Delong Chen, Yuanyuan Yun, Dapeng Zhao, Yingjie Wang, Jingkun Xu, Tao Li, Xiaoying Wang, Yuqi Yuan, Li Sun, Ruochuan Song, Xiao Huai, Cong Hu, Lingna Yang, Song Min, Taishan Chen, Juxiang Chen, Hongyan Lu, Daru |
author_facet | Meng, Delong Chen, Yuanyuan Yun, Dapeng Zhao, Yingjie Wang, Jingkun Xu, Tao Li, Xiaoying Wang, Yuqi Yuan, Li Sun, Ruochuan Song, Xiao Huai, Cong Hu, Lingna Yang, Song Min, Taishan Chen, Juxiang Chen, Hongyan Lu, Daru |
author_sort | Meng, Delong |
collection | PubMed |
description | Glioma is the most malignant brain tumor and glioblastoma (GBM) is the most aggressive type. The involvement of N-myc (and STAT) interactor (NMI) in tumorigenesis was sporadically reported but far from elucidation. This study aims to investigate roles of NMI in human glioma. Three independent cohorts, the Chinese tissue microarray (TMA) cohort (N = 209), the Repository for Molecular Brain Neoplasia Data (Rembrandt) cohort (N = 371) and The Cancer Genome Atlas (TCGA) cohort (N = 528 or 396) were employed. Transcriptional or protein levels of NMI expression were significantly increased according to tumor grade in all three cohorts. High expression of NMI predicted significantly unfavorable clinical outcome for GBM patients, which was further determined as an independent prognostic factor. Additionally, expression and prognostic value of NMI were associated with molecular features of GBM including PTEN deletion and EGFR amplification in TCGA cohort. Furthermore, overexpression or depletion of NMI revealed its regulation on G1/S progression and cell proliferation (both in vitro and in vivo), and this effect was partially dependent on STAT1, which interacted with and was regulated by NMI. These data demonstrate that NMI may serve as a novel prognostic biomarker and a potential therapeutic target for glioblastoma. |
format | Online Article Text |
id | pubmed-4467123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-44671232015-06-22 High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma Meng, Delong Chen, Yuanyuan Yun, Dapeng Zhao, Yingjie Wang, Jingkun Xu, Tao Li, Xiaoying Wang, Yuqi Yuan, Li Sun, Ruochuan Song, Xiao Huai, Cong Hu, Lingna Yang, Song Min, Taishan Chen, Juxiang Chen, Hongyan Lu, Daru Oncotarget Research Paper Glioma is the most malignant brain tumor and glioblastoma (GBM) is the most aggressive type. The involvement of N-myc (and STAT) interactor (NMI) in tumorigenesis was sporadically reported but far from elucidation. This study aims to investigate roles of NMI in human glioma. Three independent cohorts, the Chinese tissue microarray (TMA) cohort (N = 209), the Repository for Molecular Brain Neoplasia Data (Rembrandt) cohort (N = 371) and The Cancer Genome Atlas (TCGA) cohort (N = 528 or 396) were employed. Transcriptional or protein levels of NMI expression were significantly increased according to tumor grade in all three cohorts. High expression of NMI predicted significantly unfavorable clinical outcome for GBM patients, which was further determined as an independent prognostic factor. Additionally, expression and prognostic value of NMI were associated with molecular features of GBM including PTEN deletion and EGFR amplification in TCGA cohort. Furthermore, overexpression or depletion of NMI revealed its regulation on G1/S progression and cell proliferation (both in vitro and in vivo), and this effect was partially dependent on STAT1, which interacted with and was regulated by NMI. These data demonstrate that NMI may serve as a novel prognostic biomarker and a potential therapeutic target for glioblastoma. Impact Journals LLC 2014-12-30 /pmc/articles/PMC4467123/ /pubmed/25669971 Text en Copyright: © 2015 Meng et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Meng, Delong Chen, Yuanyuan Yun, Dapeng Zhao, Yingjie Wang, Jingkun Xu, Tao Li, Xiaoying Wang, Yuqi Yuan, Li Sun, Ruochuan Song, Xiao Huai, Cong Hu, Lingna Yang, Song Min, Taishan Chen, Juxiang Chen, Hongyan Lu, Daru High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title | High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title_full | High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title_fullStr | High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title_full_unstemmed | High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title_short | High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
title_sort | high expression of n-myc (and stat) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467123/ https://www.ncbi.nlm.nih.gov/pubmed/25669971 |
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