3D Bioprinted Tumor-Stroma Models of Triple-Negative Breast Cancer Stem Cells for Preclinical Targeted Therapy Evaluation
Author
Date
2024-05-29Permanent link
https://hdl.handle.net/11351/11556DOI
10.1021/acsami.4c04135
ISSN
1944-8252
WOS
001227980100001
PMID
38764168
Abstract
Breast cancer stem cells (CSCs) play a pivotal role in therapy resistance and tumor relapse, emphasizing the need for reliable in vitro models that recapitulate the complexity of the CSC tumor microenvironment to accelerate drug discovery. We present a bioprinted breast CSC tumor-stroma model incorporating triple-negative breast CSCs (TNB-CSCs) and stromal cells (human breast fibroblasts), within a breast-derived decellularized extracellular matrix bioink. Comparison of molecular signatures in this model with different clinical subtypes of bioprinted tumor-stroma models unveils a unique molecular profile for artificial CSC tumor models. We additionally demonstrate that the model can recapitulate the invasive potential of TNB-CSC. Surface-enhanced Raman scattering imaging allowed us to monitor the invasive potential of tumor cells in deep z-axis planes, thereby overcoming the depth-imaging limitations of confocal fluorescence microscopy. As a proof-of-concept application, we conducted high-throughput drug testing analysis to assess the efficacy of CSC-targeted therapy in combination with conventional chemotherapeutic compounds. The results highlight the usefulness of tumor-stroma models as a promising drug-screening platform, providing insights into therapeutic efficacy against CSC populations resistant to conventional therapies.
Keywords
3D bioprinting; Cancer stem cells; Triple-negative breast cancerBibliographic citation
González-Callejo P, García-Astrain C, Herrero-Ruiz A, Henriksen-Lacey M, Seras-Franzoso J, Abasolo I, et al. 3D Bioprinted Tumor-Stroma Models of Triple-Negative Breast Cancer Stem Cells for Preclinical Targeted Therapy Evaluation. ACS Appl Mater Interfaces. 2024 May 29;16(21):27151–63.
Audience
Professionals
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- HVH - Articles científics [4466]
- VHIR - Articles científics [1750]
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