Modeling a mesenchymal cell state by bioprinting for the molecular analysis of dormancy in melanoma

Malignant melanoma is a highly aggressive tumor originating from the pigment producing cells, the melanocytes. It accounts for the majority of skin cancer related deaths worldwide. This is often due to the development of therapy resistance or tumor dormancy, eventually resulting in tumor relapse by yet undefined mechanisms. Tumor dormancy is thought to be mediated by the cellular microenvironment and models taking this factor into account are urgently needed. We 3D bioprinted melanoma cells in the hydrogels Cellink Bioink (CIB) or Matrigel (MG), each as a substitute of the extracellular matrix, and, thereby, induced a quiescent or a proliferative phenotype of the melanoma cell lines, respectively. RNA-Seq with subsequent comprehensive bioinformatical and molecular analyses assigned CIB-cultured cells to a predominantly mesenchymal and Matrigel-cultured cells to a more mitotic phenotype, emphasizing the CIB model as a suitable platform for the investigation of dormancy under consideration of the microenvironment. Melanoma cells in CIB 3D culture reflect a quiescent and migratory active cell state e.g. by revealing significant downregulation of genes associated with replication and cell cycle progression in this setting. Using this model system, we identified the mechanosensory gene FHL2 as one early sensor of changes in the ECM and suggest a FHL2-p21/AP-1 axis contributing to the dormant phenotype of melanoma cells in CIB.

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Journal
Materials Today Bio
Published
2025-03-18
DOI
https://doi.org/10.1016/j.mtbio.2025.101674
Citations
1
Primary Topic
3D Printing in Biomedical Research
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article
Field-Weighted Citation Impact
0.67

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article

Modeling a mesenchymal cell state by bioprinting for the molecular analysis of dormancy in melanoma

Rafael Schmid, Annika Kengelbach‐Weigand, Eric Metzger, Stefan Fischer et al.
1 citations
Materials Today Bio
3D Printing in Biomedical Research
0.67
article

Modeling a mesenchymal cell state by bioprinting for the molecular analysis of dormancy in melanoma

Rafael Schmid, Annika Kengelbach‐Weigand, Eric Metzger, Stefan Fischer, Anja‐Katrin Bosserhoff, Zubeir El Ahmad, Claus Hellerbrand, Andreas Arkudas, Melanie Kappelmann‐Fenzl, Sonja Schmidt, Roland Schüle
article en
1 citations

Abstract

Malignant melanoma is a highly aggressive tumor originating from the pigment producing cells, the melanocytes. It accounts for the majority of skin cancer related deaths worldwide. This is often due to the development of therapy resistance or tumor dormancy, eventually resulting in tumor relapse by yet undefined mechanisms. Tumor dormancy is thought to be mediated by the cellular microenvironment and models taking this factor into account are urgently needed. We 3D bioprinted melanoma cells in the hydrogels Cellink Bioink (CIB) or Matrigel (MG), each as a substitute of the extracellular matrix, and, thereby, induced a quiescent or a proliferative phenotype of the melanoma cell lines, respectively. RNA-Seq with subsequent comprehensive bioinformatical and molecular analyses assigned CIB-cultured cells to a predominantly mesenchymal and Matrigel-cultured cells to a more mitotic phenotype, emphasizing the CIB model as a suitable platform for the investigation of dormancy under consideration of the microenvironment. Melanoma cells in CIB 3D culture reflect a quiescent and migratory active cell state e.g. by revealing significant downregulation of genes associated with replication and cell cycle progression in this setting. Using this model system, we identified the mechanosensory gene FHL2 as one early sensor of changes in the ECM and suggest a FHL2-p21/AP-1 axis contributing to the dormant phenotype of melanoma cells in CIB.

Materials Today BioVol. 32
University of Freiburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University Medical Center Freiburg (DE), Comprehensive Cancer Center Erlangen (DE), Deggendorf Institute of Technology (DE)
Deutsche Forschungsgemeinschaft
Zero hunger
Openalex Percentile: Top 34%
3D Printing in Biomedical Research
0.67
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