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

Fecha de publicación: 17/11/2020 Fecha Ahead of Print: 17/11/2020

Autores de INCLIVA

Ezequiel Monferrer Garzarán

Autor
Sabina Sanegre Sans

Autor
Susana Martín Vañó

Autor
Rebeca Burgos Panadero

Autor
María Amparo López Carrasco

Autor
Samuel Navarro Fos

Autor
Rosa Noguera Salva

Autor

Participantes ajenos a INCLIVA

Garcia-Lizarribar, Andrea
Samitier, Josep

Grupos y Plataformas de I+D+i

Grupo de Investigación Translacional de Tumores Sólidos Pediátricos

Leading Researcher

Samuel Navarro Fos

Abstract

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.

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

Datos de la publicación

ISSN/ISSNe:: 1661-6596, 1422-0067
Tipo:: Article
Páginas:: -
DOI:: 10.3390/ijms21228676
PubMed:: 33212997

Documentos

Published Version CC BY 4.0

Métricas

Filiaciones

Monferrer, Ezequiel:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
Sanegre, Sabina:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain
Martin-Vano, Susana:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
Garcia-Lizarribar, Andrea:: Institute for Bioengineering of Catalonia, Barcelona Institute of Science and Technology (IBEC-BIST), 08028 Barcelona, Spain
Burgos-Panadero, Rebeca:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
Lopez-Carrasco, Amparo:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
Navarro, Samuel:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
Samitier, Josep:: Institute for Bioengineering of Catalonia, Barcelona Institute of Science and Technology (IBEC-BIST), 08028 Barcelona, Spain
Noguera, Rosa:: Instituto de Investigación. Department of Pathology, Medical School, University of Valencia-INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain

CIBER. Low Prevalence Tumors, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain