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Comparison of Hydrogels for the Development of Well-Defined 3D Cancer Models of Breast Cancer and Melanoma

Laboratory for Tissue-Engineering and Regenerative Medicine, Department of Plastic and Hand Surgery, University Hospital of Erlangen, Krankenhausstraße 12, 91054 Erlangen, Germany
Institute of Biochemistry, Friedrich-Alexander University of Erlangen-Nürnberg, Fahrstraße 17, 91054 Erlangen, Germany
Institute of Biomaterials, Friedrich-Alexander University of Erlangen-Nürnberg, Ulrich-Schalk-Straße 3, 91056 Erlangen, Germany
Department of Trauma, Hand, Plastic and Reconstructive Surgery, University of Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
Department for Functional Materials in Medicine and Dentistry, University of Würzburg, Pleicherwall 2, 97070 Würzburg, Germany
Institute of Polymer Materials, Friedrich-Alexander University of Erlangen-Nürnberg, Martensstraße 7, 91058 Erlangen, Germany
Author to whom correspondence should be addressed.
Equal contribution.
Cancers 2020, 12(8), 2320;
Received: 9 July 2020 / Revised: 10 August 2020 / Accepted: 14 August 2020 / Published: 17 August 2020
(This article belongs to the Special Issue 3D Cell Culture Cancer Models: Development and Applications)
Bioprinting offers the opportunity to fabricate precise 3D tumor models to study tumor pathophysiology and progression. However, the choice of the bioink used is important. In this study, cell behavior was studied in three mechanically and biologically different hydrogels (alginate, alginate dialdehyde crosslinked with gelatin (ADA–GEL), and thiol-modified hyaluronan (HA-SH crosslinked with PEGDA)) with cells from breast cancer (MDA-MB-231 and MCF-7) and melanoma (Mel Im and MV3), by analyzing survival, growth, and the amount of metabolically active, living cells via WST-8 labeling. Material characteristics were analyzed by dynamic mechanical analysis. Cell lines revealed significantly increased cell numbers in low-percentage alginate and HA-SH from day 1 to 14, while only Mel Im also revealed an increase in ADA–GEL. MCF-7 showed a preference for 1% alginate. Melanoma cells tended to proliferate better in ADA–GEL and HA-SH than mammary carcinoma cells. In 1% alginate, breast cancer cells showed equally good proliferation compared to melanoma cell lines. A smaller area was colonized in high-percentage alginate-based hydrogels. Moreover, 3% alginate was the stiffest material, and 2.5% ADA–GEL was the softest material. The other hydrogels were in the same range in between. Therefore, cellular responses were not only stiffness-dependent. With 1% alginate and HA-SH, we identified matrices that enable proliferation of all tested tumor cell lines while maintaining expected tumor heterogeneity. By adapting hydrogels, differences could be accentuated. This opens up the possibility of understanding and analyzing tumor heterogeneity by biofabrication. View Full-Text
Keywords: breast cancer; melanoma; biofabrication; hydrogel; tumor heterogeneity breast cancer; melanoma; biofabrication; hydrogel; tumor heterogeneity
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MDPI and ACS Style

Schmid, R.; Schmidt, S.K.; Hazur, J.; Detsch, R.; Maurer, E.; Boccaccini, A.R.; Hauptstein, J.; Teßmar, J.; Blunk, T.; Schrüfer, S.; Schubert, D.W.; Horch, R.E.; Bosserhoff, A.K.; Arkudas, A.; Kengelbach-Weigand, A. Comparison of Hydrogels for the Development of Well-Defined 3D Cancer Models of Breast Cancer and Melanoma. Cancers 2020, 12, 2320.

AMA Style

Schmid R, Schmidt SK, Hazur J, Detsch R, Maurer E, Boccaccini AR, Hauptstein J, Teßmar J, Blunk T, Schrüfer S, Schubert DW, Horch RE, Bosserhoff AK, Arkudas A, Kengelbach-Weigand A. Comparison of Hydrogels for the Development of Well-Defined 3D Cancer Models of Breast Cancer and Melanoma. Cancers. 2020; 12(8):2320.

Chicago/Turabian Style

Schmid, Rafael, Sonja K. Schmidt, Jonas Hazur, Rainer Detsch, Evelyn Maurer, Aldo R. Boccaccini, Julia Hauptstein, Jörg Teßmar, Torsten Blunk, Stefan Schrüfer, Dirk W. Schubert, Raymund E. Horch, Anja K. Bosserhoff, Andreas Arkudas, and Annika Kengelbach-Weigand. 2020. "Comparison of Hydrogels for the Development of Well-Defined 3D Cancer Models of Breast Cancer and Melanoma" Cancers 12, no. 8: 2320.

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