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Published on: March 6, 2018
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Ratiometric Inclusion of Fibroblasts Promotes Both Castration-Resistant and Androgen-Dependent Tumorigenic
Nicole L Habbit1, Benjamin Anbiah1, Joshita Suresh1
1Department of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, 212 Ross Hall, Auburn, AL, 36849, USA.
Advanced Healthcare Materials
|July 14, 2023
Summary
Fibroblasts significantly drive prostate cancer (PCa) progression and aggression by remodeling tissue and increasing cell proliferation. This engineered tissue model shows promise for future PCa therapeutic development.
Area of Science:
- Oncology
- Cancer Biology
- Biomaterials
Background:
- Prostate cancer (PCa) progression involves complex interactions between cancer cells and the tumor microenvironment.
- Stromal cells, particularly fibroblasts, are increasingly recognized for their role in supporting tumor growth and metastasis.
- Understanding these interactions is crucial for developing effective PCa therapies.
Purpose of the Study:
- To investigate the role of fibroblasts in prostate cancer progression using a novel 3D engineered prostate cancer tissue (EPCaT) model.
- To analyze how fibroblast coculture impacts androgen-dependent (ADPC) and castration-resistant (CPRC-ne) PCa cell behavior.
- To assess the clinical relevance of the EPCaT model by comparing it to patient data.
Main Methods:
- Establishment of a matrix-inclusive, 3D EPCaT model for direct coculture of PCa cells and fibroblasts.
- Analysis of PCa aggression markers, including matrix remodeling and cell proliferation, in EPCaTs.
- Bulk transcriptomic analysis to identify fibroblast-driven gene expression changes.
- Comparison of EPCaT gene expression profiles with the Cancer Genome Atlas (TCGA) PCa patient cohort.
Main Results:
- Fibroblast inclusion in EPCaTs significantly drives PCa aggression, matrix remodeling, and increased proliferation.
- A higher degree of aggression was observed with a lower ratio of fibroblasts to PCa cells.
- Fibroblast coculture promoted ADPC behavior similar to aggressive CPRC-ne, suggesting a role in disease state elevation and potential PCa subtype switching.
- Transcriptomic analysis revealed fibroblast-driven enrichment of hallmark gene sets associated with tumorigenic progression.
- EPCaT models showed similar gene set enrichment patterns to primary PCa tumors in the TCGA cohort, validating clinical relevance.
Conclusions:
- The 3D EPCaT model effectively mimics key aspects of prostate cancer progression.
- Fibroblasts play a critical ratiometric role in driving PCa aggression and potentially influencing the transition to more aggressive disease states.
- The EPCaT model serves as a valuable tool for future prostate cancer research and therapeutic development.

