Abstract PR005: Conditional Reprogramming Enables Rapid Establishment of Patient-Derived Neuroendocrine Tumor Models for Functional Precision Oncology
The findings demonstrate that conditional reprogramming provides a robust and scalable approach to generate clinically relevant NET models, enabling functional precision oncology, biomarker discovery, and therapeutic optimization, and may facilitate rapid clinical decision-making and accelerate the development of targeted strategies for patients with neuroendocrine malignancies.