Using genomics to guide treatment for glioblastoma

Pharmacogenomics. 2018 Oct;19(15):1217-1229. doi: 10.2217/pgs-2018-0078. Epub 2018 Sep 11.

Abstract

Glioblastoma has been shown to have many different genetic mutations found both within and between tumor samples. Molecular testing and genomic sequencing has helped to classify diagnoses and clarify difficult to interpret histopathological specimens. Genomic information also plays a critical role in prognostication for patients, with IDH mutations and MGMT methylation having significant impact of the response to chemotherapy and overall survival of patients. Unfortunately, personalized medicine and targeted therapy against specific mutations have not been shown to improve patient outcomes. As technology continues to improve, exome and RNA sequencing will play a role in the design of clinical trials, classification of patient subgroups and identification of rare mutations that can be targeted by small-molecule inhibitors and biologic agents.

Keywords: glioblastoma; next-generation sequencing; personalized medicine; targeted therapy; tumor genomics.

Publication types

  • Review

MeSH terms

  • Animals
  • Biological Products / therapeutic use
  • Brain Neoplasms / drug therapy*
  • Brain Neoplasms / genetics*
  • DNA Methylation / drug effects
  • DNA Methylation / genetics
  • Genomics / methods
  • Glioblastoma / drug therapy*
  • Glioblastoma / genetics*
  • Humans
  • Mutation / drug effects
  • Mutation / genetics
  • Precision Medicine / methods
  • Small Molecule Libraries / therapeutic use

Substances

  • Biological Products
  • Small Molecule Libraries