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Open AccessArticle

Digital Image Analysis Applied to Tumor Cell Proliferation, Aggressiveness, and Migration-Related Protein Synthesis in Neuroblastoma 3D Models

1
Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain
2
Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
3
Institute for Bioengineering of Catalonia, Barcelona Institute of Science and Technology (IBEC-BIST), 08028 Barcelona, Spain
4
Department of Electronics and Biomedical Engineering, University of Barcelona, 08028 Barcelona, Spain
5
Networking Biomedical Research Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2020, 21(22), 8676; https://doi.org/10.3390/ijms21228676
Received: 31 August 2020 / Revised: 13 November 2020 / Accepted: 16 November 2020 / Published: 17 November 2020
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. View Full-Text
Keywords: 3D cancer modeling; Ki67; vitronectin; DOCK8; KANK1; preclinical therapeutic studies 3D cancer modeling; Ki67; vitronectin; DOCK8; KANK1; preclinical therapeutic studies
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MDPI and ACS Style

Monferrer, E.; Sanegre, S.; Martín-Vañó, S.; García-Lizarribar, A.; Burgos-Panadero, R.; López-Carrasco, A.; Navarro, S.; Samitier, J.; Noguera, R. Digital Image Analysis Applied to Tumor Cell Proliferation, Aggressiveness, and Migration-Related Protein Synthesis in Neuroblastoma 3D Models. Int. J. Mol. Sci. 2020, 21, 8676. https://doi.org/10.3390/ijms21228676

AMA Style

Monferrer E, Sanegre S, Martín-Vañó S, García-Lizarribar A, Burgos-Panadero R, López-Carrasco A, Navarro S, Samitier J, Noguera R. Digital Image Analysis Applied to Tumor Cell Proliferation, Aggressiveness, and Migration-Related Protein Synthesis in Neuroblastoma 3D Models. International Journal of Molecular Sciences. 2020; 21(22):8676. https://doi.org/10.3390/ijms21228676

Chicago/Turabian Style

Monferrer, Ezequiel; Sanegre, Sabina; Martín-Vañó, Susana; García-Lizarribar, Andrea; Burgos-Panadero, Rebeca; López-Carrasco, Amparo; Navarro, Samuel; Samitier, Josep; Noguera, Rosa. 2020. "Digital Image Analysis Applied to Tumor Cell Proliferation, Aggressiveness, and Migration-Related Protein Synthesis in Neuroblastoma 3D Models" Int. J. Mol. Sci. 21, no. 22: 8676. https://doi.org/10.3390/ijms21228676

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