Abstract
Prostate epithelial cells from both normal and cancer tissues, grown in
three-dimensional (3D) culture as spheroids, represent promising in vitro
models for the study of normal and cancer-relevant patterns of
epithelial differentiation. We have developed the most comprehensive
panel of miniaturized prostate cell culture models in 3D to date
(n = 29), including many non-transformed and most currently available
classic prostate cancer (PrCa) cell lines. The purpose of this study was
to analyze morphogenetic properties of PrCa models in 3D, to compare
phenotypes, gene expression and metabolism between 2D and 3D cultures,
and to evaluate their relevance for pre-clinical drug discovery, disease
modeling and basic research. Primary and non-transformed prostate
epithelial cells, but also several PrCa lines, formed
well-differentiated round spheroids. These showed strong cell-cell
contacts, epithelial polarization, a hollow lumen and were covered by a
complete basal lamina (BL). Most PrCa lines, however, formed large,
poorly differentiated spheroids, or aggressively invading structures. In
PC-3 and PC-3M cells, well-differentiated spheroids formed, which were
then spontaneously transformed into highly invasive cells. These cell
lines may have previously undergone an epithelial-to-mesenchymal
transition (EMT), which is temporarily suppressed in favor of epithelial
maturation by signals from the extracellular matrix (ECM). The
induction of lipid and steroid metabolism, epigenetic reprogramming, and
ECM remodeling represents a general adaptation to 3D culture,
regardless of transformation and phenotype. In contrast, PI3-Kinase,
AKT, STAT/interferon and integrin signaling pathways were particularly
activated in invasive cells. Specific small molecule inhibitors targeted
against PI3-Kinase blocked invasive cell growth more effectively in 3D
than in 2D monolayer culture, or the growth of normal cells. Our panel
of cell models, spanning a wide spectrum of phenotypic plasticity,
supports the investigation of different modes of cell migration and
tumor morphologies, and will be useful for predictive testing of
anti-cancer and anti-metastatic compounds.
| Original language | English |
|---|---|
| Article number | e10431 |
| Number of pages | 17 |
| Journal | PLoS ONE |
| Volume | 5 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| MoE publication type | A1 Journal article-refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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