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A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
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1Department of Tissue Engineering and Regenerative Medicine (TERM),University Hospital Wuerzburg, 2Department of Cardiothoracic Surgery,University Hospital Wuerzburg, 3Department of Bioinformatics,University Wuerzburg, 4Translational Center Wuerzburg,Fraunhofer Institute Interfacial Engineering and Biotechnology IGB
Capitoli
- 00:05Titolo
- 01:00Dynamic Culture Conditions and Static Tumor Model Gefitinib Treatment
- 02:35ELISA Samples Collection and Proliferation Index Determination
- 05:21In Silico Tumor Model Generation and Anti-EGFR Therapy Simulation in HCC827 Cells
- 07:13In Silico Simulation Using SQUAD
- 10:32Results: The Effects of Gefitinib Treatment on Cell Growth in Static and Dynamic Tumor Model Systems
- 12:42Conclusion
We present a three-dimensional (3D) lung cancer model based on a biological collagen scaffold to study sensitivity towards non-small-cell-lung-cancer-(NSCLC)-targeted therapies. We demonstrate different read-out techniques to determine the proliferation index, apoptosis and epithelial-mesenchymal transition (EMT) status. Collected data are integrated into an in silico model for prediction of drug sensitivity.
