Abstract
Glioblastoma is a particularly aggressive brain cancer that poses significant challenges for treatment. Its severity is compounded by two main factors: first, the limited arsenal of effective therapies available, and second, the blood-brain barrier, a natural protective mechanism that ironically hinders the delivery of drugs to the tumor. This barrier is especially problematic for reaching cancer cells that have infiltrated the edges of the tumor, which are primarily responsible for the cancer’s recurrence after initial treatment. Given these obstacles, researchers are actively seeking novel approaches to improve drug delivery, particularly to these elusive cells at the tumor’s periphery, in hopes of developing more effective treatments for this devastating disease. Researchers have developed a mathematical approach to understand why many potential glioblastoma treatments are not successful in clinical trials. Their model focuses on two key challenges: the blood-brain barrier, which can prevent drugs from reaching the tumor, and the diverse nature of tumor cells, which can respond differently to treatments. By applying this model to data from experiments using patient-derived tumor samples in animals, the team was able to quantify how these factors affect drug effectiveness for individual cases.
| Original language | English |
|---|---|
| Title of host publication | Chemoresistance in Glioblastoma |
| Subtitle of host publication | Understanding and Management |
| Publisher | Elsevier |
| Pages | 329-357 |
| Number of pages | 29 |
| ISBN (Electronic) | 9780443339103 |
| ISBN (Print) | 9780443339110 |
| DOIs | |
| Publication status | Published - 01-01-2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- General Agricultural and Biological Sciences
- General Biochemistry,Genetics and Molecular Biology
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