Patterning Networks of Grade IV Glioblastoma on Silicon Chip .
Nicholas G MellorSylvia A CheungPierrette MichauxJoe FirthE Scott GrahamBryan W DayCharles P UnsworthPublished in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (2024)
Glioblastoma (GBM) is the most aggressive high-grade brain cancer with a median survival time of <15 months. Due to GBMs fast and infiltrative growth patient prognosis is poor with recurrence after treatment common. Investigating GBMs ability to communicate, specifically via Ca 2+ signaling, within its functional tumour networks may unlock new therapeutics to reduce the rapid infiltration and growth which currently makes treatment ineffective. This work aims to produce patterned networks of GBM cells such that the Ca 2+ communication at a network level can be repeatedly and reliably investigated.
Keyphrases
- high grade
- induced apoptosis
- papillary thyroid
- free survival
- low grade
- small molecule
- high throughput
- resting state
- white matter
- protein kinase
- squamous cell
- brain injury
- combination therapy
- cell death
- mass spectrometry
- endoplasmic reticulum stress
- cell proliferation
- atomic force microscopy
- subarachnoid hemorrhage
- multiple sclerosis
- functional connectivity
- young adults
- replacement therapy