Patterning Networks of Grade IV Glioblastoma on Silicon Chip

Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul:2023:1-4. doi: 10.1109/EMBC40787.2023.10340936.

Abstract

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 Ca2+ 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 Ca2+ communication at a network level can be repeatedly and reliably investigated.

MeSH terms

  • Brain / pathology
  • Brain Neoplasms* / pathology
  • Brain Neoplasms* / physiopathology
  • Glioblastoma* / pathology
  • Glioblastoma* / physiopathology
  • Humans
  • Microphysiological Systems*
  • Silicon

Substances

  • Silicon