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Advances in Glioblastoma Multiforme Treatment: New Models for Nanoparticle Therapy

Elif Ozdemir-Kaynak1, Amina A Qutub2, Ozlem Yesil-Celiktas1,3,4

  • 1Department of Bioengineering, Faculty of Engineering, Ege University, Bornova-Izmir, Turkey.

Frontiers in Physiology
|April 5, 2018
PubMed

Insights

Computational modeling aids glioblastoma treatment design. This study reviews nanomedicine and cell-specific therapies, using mathematical analysis to compare drug delivery across the blood-brain barrier for improved brain cancer outcomes.

Area of Science:

  • Neuro-oncology
  • Nanomedicine
  • Computational Biology

Background:

  • Glioblastoma multiforme is an aggressive brain cancer with poor treatment outcomes.
  • Current therapies like surgery and radio-chemotherapy show limited efficacy against glioblastoma.
  • Novel therapeutic strategies are essential for effective glioblastoma treatment.

Purpose of the Study:

  • To critically review current glioblastoma therapies, emphasizing nanomedicine and cell-specific signaling.
  • To discuss computational modeling approaches for optimizing nanotherapeutics in brain cancer.
  • To illustrate mathematical analysis for comparing drug delivery across the blood-brain barrier.

Main Methods:

  • Literature review of glioblastoma therapies, nanomedicine, and computational modeling.
  • Analysis of cell-specific signaling pathways in glioblastoma.
  • Mathematical modeling to compare free drug versus nanoparticle-loaded drug delivery.

Main Results:

  • Emerging nanomedicines and cell-specific therapies show promise for glioblastoma treatment.
  • Computational modeling can optimize the design and delivery of these novel therapies.
  • Mathematical analysis demonstrated differences in delphinidin delivery across the blood-brain barrier for glioblastoma.

Conclusions:

  • Computational modeling is a valuable tool for advancing glioblastoma treatment strategies.
  • Nanomedicine and targeted therapies offer new avenues for combating brain cancer.
  • Mathematical analysis provides insights into optimizing drug delivery for glioblastoma.
Keywords:
blood-brain barrier modelingcytoscapedelphinidinglioblastomananoparticle

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