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Updated: Feb 26, 2026

Identification, Histological Characterization, and Dissection of Mouse Prostate Lobes for In Vitro 3D Spheroid Culture Models
Published on: September 18, 2018
Human Prostate Tissue-derived Extracellular Matrix as a Model of Prostate Microenvironment
Walter Cazzaniga1, Manuela Nebuloni2, Erika Longhi2
1Division of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy; Università Vita-Salute San Raffaele, Milan, Italy.
This study developed a novel ex vivo/in vitro model to assess prostate cancer cell invasion. The model accurately predicts tumor aggressiveness, aiding in early detection of aggressive prostate cancer (PPCa).
Area of Science:
- Oncology
- Biotechnology
- Cancer Research
Background:
- Prostate cancer (PPCa) exhibits significant heterogeneity, complicating accurate prognosis.
- Current predictive tools often fail to distinguish indolent from aggressive PPCa phenotypes.
- There is a critical need for reliable methods to assess PPCa cell invasiveness.
Purpose of the Study:
- To develop a novel ex vivo/in vitro model for evaluating the invasive potential of PPCa cells (PPCaC).
- To establish a system capable of estimating the invasive phenotype of PPCa cells.
Main Methods:
- Utilized decellularized prostate extracellular matrix (ECM) from radical prostatectomy specimens.
- Co-cultured PPCaC with the prepared ECM to assess invasion.
- Quantified invasion by counting infiltrated cells and performed statistical comparisons using the Mann-Whitney test.
Main Results:
- The developed ECM was cell-free, DNA-free, and preserved its 3D structure and stromal proteins.
- The model demonstrated reliability, with cell lines exhibiting expected behaviors (re-epithelialization or invasion).
- PPCaC invasion correlated with tumor stage and biochemical recurrence, and the model identified distinct invasive phenotypes even within similar Gleason grades and stages.
Conclusions:
- An ex vivo/in vitro model was successfully developed to replicate the PPCa microenvironment.
- This model can accurately identify the inherent invasive behavior of PPCaC.
- The system holds potential for identifying new biomarkers to predict disease progression and improve patient outcomes.
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