Article
Optimized large-scale longitudinal biorepository of gastroesophageal adenocarcinoma patient-derived organoids: High-fidelity models for personalized treatment to overcome resistance
2025-07-14
Abstract excerpt
A major limitation in studying gastroesophageal adenocarcinoma (GEA) has been the lack of reliable models that represent the disease’s complexity. We present lessons learned from a comprehensive large-scale biobanking effort combining traditional sample collection with several in vitro models including 3-dimensional patient-derived organoids (PDOs), 2-dimensional cancer-associated fibroblasts (CAFs), tumor-infilt...
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Identifiers and source
- Literature Corpus work
- 8689feca-d089-5eb7-9d8f-d05af09422e9
- DOI
- 10.1101/2025.07.09.663874
