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Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma
Glioblastoma (GBM), the most common and malignant brain tumor, is classified according to its isocitrate dehydrogenase (IDH) mutation status in the 2016 World Health Organization (WHO) brain tumor classification scheme. The standard treatment for GBM is maximal resection, radiotherapy, and Temozolom...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749405/ https://www.ncbi.nlm.nih.gov/pubmed/31443404 http://dx.doi.org/10.3390/molecules24173046 |
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author | Adilijiang, Alimu Hirano, Masaki Okuno, Yusuke Aoki, Kosuke Ohka, Fumiharu Maeda, Sachi Tanahashi, Kuniaki Motomura, Kazuya Shimizu, Hiroyuki Yamaguchi, Junya Wakabayashi, Toshihiko Natsume, Atsushi |
author_facet | Adilijiang, Alimu Hirano, Masaki Okuno, Yusuke Aoki, Kosuke Ohka, Fumiharu Maeda, Sachi Tanahashi, Kuniaki Motomura, Kazuya Shimizu, Hiroyuki Yamaguchi, Junya Wakabayashi, Toshihiko Natsume, Atsushi |
author_sort | Adilijiang, Alimu |
collection | PubMed |
description | Glioblastoma (GBM), the most common and malignant brain tumor, is classified according to its isocitrate dehydrogenase (IDH) mutation status in the 2016 World Health Organization (WHO) brain tumor classification scheme. The standard treatment for GBM is maximal resection, radiotherapy, and Temozolomide (TMZ). Recently, Bevacizumab (Bev) has been added to basic therapy for newly diagnosed GBM, and monotherapy for recurrent GBM. However, the effect of IDH1 mutation on the combination of Bev and TMZ is unknown. In this study, we performed transcriptomic analysis by RNA sequencing with next generation sequencing (NGS), a newly developed powerful method that enables the quantification of the expression level of genome-wide genes. Extracellular matrix and immune cell migration genes were mainly upregulated whereas cell cycle genes were downregulated in IDH1-mutant U87 cells but not in IDH1-wildtype U87 cells after adding Bev to TMZ. In vitro and in vivo studies were conducted for further investigations to verify these results, and the addition of Bev to TMZ showed a significant antitumor effect only in the IDH1-mutant GBM xenograft model. Further studies of gene expression profiling in IDH1 mutation gliomas using NGS will provide more genetic information and will lead to new treatments for this refractory disease. |
format | Online Article Text |
id | pubmed-6749405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67494052019-09-27 Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma Adilijiang, Alimu Hirano, Masaki Okuno, Yusuke Aoki, Kosuke Ohka, Fumiharu Maeda, Sachi Tanahashi, Kuniaki Motomura, Kazuya Shimizu, Hiroyuki Yamaguchi, Junya Wakabayashi, Toshihiko Natsume, Atsushi Molecules Article Glioblastoma (GBM), the most common and malignant brain tumor, is classified according to its isocitrate dehydrogenase (IDH) mutation status in the 2016 World Health Organization (WHO) brain tumor classification scheme. The standard treatment for GBM is maximal resection, radiotherapy, and Temozolomide (TMZ). Recently, Bevacizumab (Bev) has been added to basic therapy for newly diagnosed GBM, and monotherapy for recurrent GBM. However, the effect of IDH1 mutation on the combination of Bev and TMZ is unknown. In this study, we performed transcriptomic analysis by RNA sequencing with next generation sequencing (NGS), a newly developed powerful method that enables the quantification of the expression level of genome-wide genes. Extracellular matrix and immune cell migration genes were mainly upregulated whereas cell cycle genes were downregulated in IDH1-mutant U87 cells but not in IDH1-wildtype U87 cells after adding Bev to TMZ. In vitro and in vivo studies were conducted for further investigations to verify these results, and the addition of Bev to TMZ showed a significant antitumor effect only in the IDH1-mutant GBM xenograft model. Further studies of gene expression profiling in IDH1 mutation gliomas using NGS will provide more genetic information and will lead to new treatments for this refractory disease. MDPI 2019-08-22 /pmc/articles/PMC6749405/ /pubmed/31443404 http://dx.doi.org/10.3390/molecules24173046 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Adilijiang, Alimu Hirano, Masaki Okuno, Yusuke Aoki, Kosuke Ohka, Fumiharu Maeda, Sachi Tanahashi, Kuniaki Motomura, Kazuya Shimizu, Hiroyuki Yamaguchi, Junya Wakabayashi, Toshihiko Natsume, Atsushi Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title | Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title_full | Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title_fullStr | Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title_full_unstemmed | Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title_short | Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma |
title_sort | next generation sequencing-based transcriptome predicts bevacizumab efficacy in combination with temozolomide in glioblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749405/ https://www.ncbi.nlm.nih.gov/pubmed/31443404 http://dx.doi.org/10.3390/molecules24173046 |
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