Molecules (Aug 2019)

Next Generation Sequencing-Based Transcriptome Predicts Bevacizumab Efficacy in Combination with Temozolomide in Glioblastoma

  • Alimu Adilijiang,
  • Masaki Hirano,
  • Yusuke Okuno,
  • Kosuke Aoki,
  • Fumiharu Ohka,
  • Sachi Maeda,
  • Kuniaki Tanahashi,
  • Kazuya Motomura,
  • Hiroyuki Shimizu,
  • Junya Yamaguchi,
  • Toshihiko Wakabayashi,
  • Atsushi Natsume

DOI
https://doi.org/10.3390/molecules24173046
Journal volume & issue
Vol. 24, no. 17
p. 3046

Abstract

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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.

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