Scientific article
OA Policy
English

Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells

Published inOncotarget, vol. 6, no. 28, p. 26192-26215
Publication date2015
Abstract

Glioblastoma (GBM) is both the most common and the most lethal primary brain tumor. It is thought that GBM stem cells (GSCs) are critically important in resistance to therapy. Therefore, there is a strong rationale to target these cells in order to develop new molecular therapies.To identify molecular targets in GSCs, we compared gene expression in GSCs to that in neural stem cells (NSCs) from the adult human brain, using microarrays. Bioinformatic filtering identified 20 genes (PBK/TOPK, CENPA, KIF15, DEPDC1, CDC6, DLG7/DLGAP5/HURP, KIF18A, EZH2, HMMR/RHAMM/CD168, NOL4, MPP6, MDM1, RAPGEF4, RHBDD1, FNDC3B, FILIP1L, MCC, ATXN7L4/ATXN7L1, P2RY5/LPAR6 and FAM118A) that were consistently expressed in GSC cultures and consistently not expressed in NSC cultures. The expression of these genes was confirmed in clinical samples (TCGA and REMBRANDT). The first nine genes were highly co-expressed in all GBM subtypes and were part of the same protein-protein interaction network. Furthermore, their combined up-regulation correlated negatively with patient survival in the mesenchymal GBM subtype. Using targeted proteomics and the COGNOSCENTE database we linked these genes to GBM signalling pathways.Nine genes: PBK, CENPA, KIF15, DEPDC1, CDC6, DLG7, KIF18A, EZH2 and HMMR should be further explored as targets for treatment of GBM.

Keywords
  • Animals
  • Antineoplastic Agents/therapeutic use
  • Biomarkers
  • Tumor/genetics/metabolism
  • Brain Neoplasms/drug therapy/genetics/metabolism/mortality/pathology
  • Cell Differentiation
  • Cell Line
  • Tumor
  • Cell Proliferation
  • Computational Biology
  • Drug Design
  • Gene Expression Profiling/methods
  • Gene Expression Regulation
  • Neoplastic
  • Genotype
  • Glioblastoma/drug therapy/genetics/metabolism/mortality/pathology
  • Heterografts
  • Humans
  • Mice
  • Molecular Targeted Therapy
  • Neoplasm Transplantation
  • Neoplastic Stem Cells/drug effects/metabolism/pathology
  • Neural Stem Cells/drug effects/metabolism/pathology
  • Oligonucleotide Array Sequence Analysis
  • Phenotype
  • Prognosis
  • Protein Interaction Maps
  • Proteomics/methods
  • Signal Transduction
  • Survival Analysis
  • Time Factors
  • Tumor Cells
  • Cultured
Citation (ISO format)
STANGELAND, Biljana et al. Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells. In: Oncotarget, 2015, vol. 6, n° 28, p. 26192–26215. doi: 10.18632/oncotarget.4613
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Article (Published version)
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Identifiers
ISSN of the journal1949-2553
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