Biofabrication and Monitoring of a 3D Printed Skin Model for Melanoma

Author:

Vázquez‐Aristizabal Paula12ORCID,Henriksen‐Lacey Malou23ORCID,García‐Astrain Clara23ORCID,Jimenez de Aberasturi Dorleta234ORCID,Langer Judith23,Epelde Claudia5,Litti Lucio6,Liz‐Marzán Luis M.2347ORCID,Izeta Ander18ORCID

Affiliation:

1. Stem Cells and Aging Group Biogipuzkoa Health Research Institute Paseo Dr. Begiristain s/n Donostia‐San Sebastián 20014 Spain

2. CIC biomaGUNE Basque Research and Technology Alliance (BRTA) Paseo de Miramón 194 Donostia‐San Sebastián 20014 Spain

3. Centro de Investigación Biomédica en Red Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN) Donostia‐San Sebastián 20014 Spain

4. Ikerbasque Basque Foundation for Science Bilbao 48009 Spain

5. Obstetrics and Gynaecology Service Donostia University Hospital Paseo Dr. Begiristain s/n Donostia‐San Sebastián 20014 Spain

6. Department of Chemical Sciences University of Padova Via Marzolo, 1 Padova 35131 Italy

7. Cinbio Universidade de Vigo Campus Universitario Vigo 36310 Spain

8. School of Engineering Tecnun‐University of Navarra Donostia‐San Sebastián 20009 Spain

Abstract

AbstractThere is an unmet need for in vitro cancer models that emulate the complexity of human tissues. 3D‐printed solid tumor micromodels based on decellularized extracellular matrices (dECMs) recreate the biomolecule‐rich matrix of native tissue. Herein a 3D in vitro metastatic melanoma model that is amenable for drug screening purposes and recapitulates features of both the tumor and the skin microenvironment is described. Epidermal, basement membrane, and dermal biocompatible inks are prepared by means of combined chemical, mechanical, and enzymatic processes. Bioink printability is confirmed by rheological assessment and bioprinting, and bioinks are subsequently combined with melanoma cells and dermal fibroblasts to build complex 3D melanoma models. Cells are tracked by confocal microscopy and surface‐enhanced Raman spectroscopy (SERS) mapping. Printed dECMs and cell tracking allow modeling of the initial steps of metastatic disease, and may be used to better understand melanoma cell behavior and response to drugs.

Funder

European Research Council

Instituto de Salud Carlos III

European Commission

Ekonomiaren Garapen eta Lehiakortasun Saila, Eusko Jaurlaritza

Osasun Saila, Eusko Jaurlaritzako

Diputación Foral de Gipuzkoa

Agencia Estatal de Investigación

Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España

Publisher

Wiley

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