Brain tumor modeling using the CRISPR/Cas9 system: state of the art and view to the future

Oncotarget. 2016 May 31;7(22):33461-71. doi: 10.18632/oncotarget.8075.

Abstract

Although brain tumors have been known tremendously over the past decade, there are still many problems to be solved. The etiology of brain tumors is not well understood and the treatment remains modest. There is in great need to develop a suitable brain tumor models that faithfully mirror the etiology of human brain neoplasm and subsequently get more efficient therapeutic approaches for these disorders. In this review, we described the current status of animal models of brain tumors and analyzed their advantages and disadvantages. Additionally, prokaryotic clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), a versatile genome editing technology for investigating the functions of target genes, and its application were also introduced in our present work. We firstly proposed that brain tumor modeling could be well established via CRISPR/Cas9 techniques. And CRISPR/Cas9-mediated brain tumor modeling was likely to be more suitable for figuring out the pathogenesis of brain tumors, as CRISPR/Cas9 platform was a simple and more efficient biological toolbox for implementing mutagenesis of oncogenes or tumor suppressors that were closely linked with brain tumors.

Keywords: CRISPR; animal models; brain tumors; oncogene; tumor suppressor.

Publication types

  • Review

MeSH terms

  • Animals
  • Biomarkers, Tumor / genetics*
  • Biomarkers, Tumor / metabolism
  • Brain Neoplasms / genetics*
  • Brain Neoplasms / metabolism
  • Brain Neoplasms / pathology
  • CRISPR-Associated Proteins / genetics*
  • CRISPR-Associated Proteins / metabolism
  • CRISPR-Cas Systems*
  • Clustered Regularly Interspaced Short Palindromic Repeats*
  • Diffusion of Innovation
  • Disease Models, Animal
  • Forecasting
  • Gene Editing / methods*
  • Gene Editing / trends
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Genetic Predisposition to Disease
  • Humans
  • Phenotype

Substances

  • Biomarkers, Tumor
  • CRISPR-Associated Proteins