Microfluidic-based human prostate-cancer-on-chip

Linan Jiang1, Hunain Khawaja2, Shekha Tahsin2

  • 1Department of Aerospace and Mechanical Engineering, Tucson, AZ, United States.

Insights

A new Prostate-Cancer-on-Chip (PCoC) model recreates human prostate tumor and stroma interactions. This microfluidic system reveals how tumor cells induce cancer-associated fibroblasts (CAFs) and promote invasion, aiding prostate cancer research.

Area of Science:

  • Biomedical Engineering
  • Cancer Biology
  • Microfluidics

Background:

  • Current prostate cancer models inadequately represent human physiology, hindering treatment development for therapy resistance and bone metastasis.
  • Existing in vitro models lack complexity, while in vivo animal models present physiological and genetic differences from humans.

Purpose of the Study:

  • To develop and validate the first in vitro microfluidic human Prostate-Cancer-on-Chip (PCoC) model.
  • To investigate dynamic tumor-stroma interactions, including cancer-associated fibroblast (CAF) conversion and tumor cell invasion.

Main Methods:

  • Co-cultivation of human prostate cancer and stromal fibroblast cells in a microfluidic device with a porous membrane.
  • Analysis of cell-cell signaling, CAF biomarker expression (αSMA, COL1A1), androgen receptor (AR) downregulation, and tumor invasion using immunofluorescence microscopy.
  • Simulation of solute concentration gradients to correlate with CAF conversion levels.

Main Results:

  • Prostate cancer cells induced CAF conversion in stromal fibroblasts, with conversion levels increasing along the medium flow direction.
  • Tumor cells downregulated stromal AR expression, unlike in normal prostate homeostasis.
  • The PCoC model demonstrated tumor cell and CAF invasion into neighboring compartments, highlighting the stroma's role in promoting metastasis.

Conclusions:

  • The developed PCoC model effectively recapitulates spatiotemporal tumor-stroma interactions and multicellular responses relevant to human prostate cancer in vivo.
  • This model serves as a valuable tool for dissecting prostate cancer mechanisms and exploring novel therapeutic strategies.