Ratiometric Inclusion of Fibroblasts Promotes Both Castration-Resistant And Androgen-Dependent Tumorigenic Progression in Engineered Prostate Cancer Tissues.
Nicole L HabbitBenjamin AnbiahJoshita SureshLuke AndersonMegan L DaviesIman HassaniTaraswi M GhoshMichael W GreeneBalabhaskar PrabhakarpandianRobert D ArnoldElizabeth A LipkePublished in: Advanced healthcare materials (2023)
To investigate the ratiometric role of fibroblasts in prostate cancer (PCa) progression, this work establishes a matrix-inclusive, three-dimensional engineered prostate cancer tissue (EPCaT) model that enables direct coculture of neuroendocrine-variant castration-resistant (CPRC-ne) or androgen-dependent (ADPC) PCa cells with tumor-supporting stromal cell types. Results show that the inclusion of fibroblasts within CRPC-ne and ADPC EPCaTs drives PCa aggression through significant matrix remodeling and increased proliferative cell populations. Interestingly, this is observed to a much greater degree in EPCaTs formed with a small number of fibroblasts relative to the number of PCa cells. Fibroblast coculture also results in ADPC behavior more similar to the aggressive CRPC-ne condition, suggesting fibroblasts play a role in elevating PCa disease state and may contribute to the ADPC to CRPC-ne switch. Bulk transcriptomic analyses additionally elucidate fibroblast-driven enrichment of hallmark gene sets associated with tumorigenic progression. Finally, the EPCaT model clinical relevancy is probed through a comparison to the Cancer Genome Atlas (TCGA) PCa patient cohort; notably, similar gene set enrichment is observed between EPCaT models and the patient primary tumor transcriptome. Taken together, study results demonstrate the potential of the EPCaT model to serve as a PCa-mimetic tool in future therapeutic development efforts. This article is protected by copyright. All rights reserved.
Keyphrases
- prostate cancer
- single cell
- extracellular matrix
- radical prostatectomy
- induced apoptosis
- genome wide
- rna seq
- cell cycle arrest
- gene expression
- quantum dots
- case report
- sensitive detection
- copy number
- cell therapy
- cell death
- bone marrow
- stem cells
- molecular dynamics simulations
- papillary thyroid
- signaling pathway
- transcription factor
- young adults
- risk assessment
- human health
- pi k akt
- quality improvement
- genome wide identification
- genome wide analysis
- energy transfer