Rok 2023

• Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures

  Publikacja

  • A. Giczewska
  • K. Pastuszak
  • M. Houweling
  • U. K. Abdul
  • N. Faaij
  • L. Wedekind
  • D. Noske
  • T. Würdinger
  • A. Supernat
  • B. Westerman

  - Neuro-Oncology Advances - Rok 2023

  Abstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...

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• Screening of predicted synergistic multi-target therapies in glioblastoma identifies new treatment strategies

  Publikacja

  • M. Houweling
  • A. Giczewska
  • A. Kulsoom
  • N. Nieuwenhuis
  • A. Küçükosmanoglu
  • K. Pastuszak
  • R. C. Buijsman
  • P. Wesseling
  • L. Wedekind
  • D. Noske... i 5 innych

  - Neuro-Oncology Advances - Rok 2023

  Abstract Background IDH-wildtype glioblastoma (GBM) is a highly malignant primary brain tumor with a median survival of 15 months after standard of care, which highlights the need for improved therapy. Personalized combination therapy has shown to be successful in many other tumor types and could be beneficial for GBM patients. Methods We performed the largest drug combination screen to date in GBM, using a high-throughput effort...

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