期刊
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷 21, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/ijms21228676
关键词
3D cancer modeling; Ki67; vitronectin; DOCK8; KANK1; preclinical therapeutic studies
资金
- Asociacion Fundacion Espanola contra el Cancer, JAP-AECC [2018/150]
- ISCIII (FIS)
- FEDER (European Regional Development Fund) [PI17/01558]
- Collaborative Project CIBERONC-CIBERBBN [ONC18PI03]
- NEN Association (Nico contra el cancer infantil) [2017-PVR00157]
- CIBERONC [CB16/12/00484]
Patient-derived cancer 3D models are a promising tool that will revolutionize personalized cancer therapy but that require previous knowledge of optimal cell growth conditions and the most advantageous parameters to evaluate biomimetic relevance and monitor therapy efficacy. This study aims to establish general guidelines on 3D model characterization phenomena, focusing on neuroblastoma. We generated gelatin-based scaffolds with different stiffness and performed SK-N-BE(2) and SH-SY5Y aggressive neuroblastoma cell cultures, also performing co-cultures with mouse stromal Schwann cell line (SW10). Model characterization by digital image analysis at different time points revealed that cell proliferation, vitronectin production, and migration-related gene expression depend on growing conditions and are specific to the tumor cell line. Morphometric data show that 3D in vitro models can help generate optimal patient-derived cancer models, by creating, identifying, and choosing patterns of clinically relevant artificial microenvironments to predict patient tumor cell behavior and therapeutic responses.
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