Personalized medicine for glioblastoma: current challenges and future opportunities

J-J Zhu1, E T Wong

  • 1Vivian L Smith Department of Neurosurgery, University of Texas Medical Center in Houston, Houston, TX, USA. jay.jiguang.zhu@uth.tmc.edu

Insights

Glioblastoma progression is challenging due to genetic and epigenetic tumor cell diversity. Combining targeted therapies with broader treatments may overcome resistance and improve outcomes.

Area of Science:

  • Neuro-oncology
  • Cancer Biology
  • Genetics

Background:

  • Glioblastoma (GBM) progression poses significant challenges in neuro-oncology.
  • Tumor cell genetic and epigenetic heterogeneities are key drivers of treatment resistance in GBM.
  • Understanding these heterogeneities is crucial for developing effective therapeutic strategies.

Purpose of the Study:

  • To explore the role of genetic and epigenetic heterogeneities in glioblastoma progression and treatment resistance.
  • To identify mechanisms of resistance to targeted therapies, such as epidermal growth factor receptor (EGFR) inhibitors.
  • To propose a combined therapeutic approach for managing glioblastoma.

Main Methods:

  • Review of emerging data on glioblastoma tumor biology.
  • Analysis of genetic (driver and passenger mutations) and epigenetic alterations in GBM cells.
  • Examination of resistance mechanisms to targeted EGFR inhibitors like erlotinib.

Main Results:

  • Genetic and epigenetic heterogeneities contribute to the development of resistant glioblastoma.
  • Mutations in EGFR and subsequent alterations (receptor class switching, tyrosine kinase decoupling) confer resistance to targeted agents.
  • Clonal selection during treatment leads to the emergence of resistant cell populations.

Conclusions:

  • Effective glioblastoma treatment likely requires a combination of personalized medicine and broader therapeutic approaches.
  • Targeted drugs can inhibit proliferation of cells with driver mutations, while less specific therapies can address cells with passenger mutations.
  • Advanced diagnostics and individualized therapies are emerging opportunities to combat glioblastoma heterogeneity.