An overview of targets and therapies for glioblastoma multiforme

Gayathri Chandrasekar1, Vinay Scheel Bansal2, Manas Panigrahi3

  • 1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.

Insights

Glioblastoma multiforme (GBM) is a deadly brain cancer with limited options. This review covers new GBM treatments, diagnostic technologies, and palliative care needs.

Area of Science:

  • Neuro-oncology
  • Clinical Trials
  • Palliative Care

Background:

  • Glioblastoma multiforme (GBM) predominantly affects older adults (>65 years) and is associated with a poor median survival rate.
  • Current therapeutic strategies for GBM are limited, necessitating the exploration of novel treatment approaches.
  • Effective diagnosis and palliative care remain significant challenges in managing GBM patients.

Purpose of the Study:

  • To provide a comprehensive overview of the current clinical trial landscape for Glioblastoma multiforme.
  • To highlight emerging therapeutic targets, repurposed drugs, and innovative technologies for GBM treatment.
  • To emphasize the importance of advanced diagnostic tools, including artificial intelligence, and dynamic palliative care strategies for GBM.

Main Methods:

  • Literature review of current clinical trials for Glioblastoma multiforme.
  • Analysis of emerging therapeutic targets and drug repurposing strategies.
  • Exploration of technological advancements in GBM diagnosis, imaging, and patient care.

Main Results:

  • The review identifies several promising new targets and repurposed drugs currently under investigation for GBM.
  • Technological advancements, including AI in diagnosis and imaging, show potential for improving GBM management.
  • There is a critical need for developing dynamic palliative care strategies tailored to end-of-life GBM patient management.

Conclusions:

  • The current clinical trial scenario for Glioblastoma multiforme offers potential for improved therapeutic outcomes.
  • Integrating advanced technologies and artificial intelligence can enhance GBM diagnosis and treatment efficacy.
  • A proactive and dynamic approach to palliative care is essential for improving the quality of life for GBM patients.