Digital Image Analysis Applied to Tumor Cell Proliferation, Aggressiveness, and Migration-Related Protein Synthesis in Neuroblastoma 3D Models
| Autor: | Amparo López-Carrasco, Josep Samitier, Rebeca Burgos-Panadero, Andrea García-Lizarribar, Ezequiel Monferrer, Rosa Noguera, Sabina Sanegre, Samuel Navarro, Susana Martín-Vañó |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Stromal cell
Schwann cell Biology 3D cancer modeling vitronectin Catalysis Article Inorganic Chemistry lcsh:Chemistry Neuroblastoma Cell Movement Cell Line Tumor Protein biosynthesis medicine Image Processing Computer-Assisted Humans Physical and Theoretical Chemistry Molecular Biology lcsh:QH301-705.5 Spectroscopy Cell Proliferation Cell growth Organic Chemistry Cancer General Medicine medicine.disease DOCK8 Computer Science Applications Neoplasm Proteins medicine.anatomical_structure lcsh:Biology (General) lcsh:QD1-999 Protein Biosynthesis Cancer research biology.protein KANK1 preclinical therapeutic studies Vitronectin Dock8 Ki67 |
| Zdroj: | International Journal of Molecular Sciences Volume 21 Issue 22 International Journal of Molecular Sciences, Vol 21, Iss 8676, p 8676 (2020) |
| ISSN: | 1422-0067 |
| DOI: | 10.3390/ijms21228676 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |