Cholangiocarcinoma-on-a-chip: A human 3D platform for personalised medicine

Michela Anna Polidoro1, Erika Ferrari2, Cristiana Soldani1

  • 1Hepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Abstract

Insights

Researchers developed a patient-specific cholangiocarcinoma (CCA)-on-chip platform to better model liver cancer. This 3D model accurately mimics the tumor microenvironment, aiding in personalized drug testing for CCA.

Area of Science:

  • Oncology
  • Biotechnology
  • Microfluidics

Background:

  • Cholangiocarcinoma (CCA) is an aggressive liver cancer with poor prognosis and limited treatment options.
  • Existing 3D models fail to accurately represent the complex tumor microenvironment.
  • There is a critical need for improved models to study CCA biology and test therapies.

Purpose of the Study:

  • To develop an innovative, patient-specific cholangiocarcinoma (CCA)-on-chip platform.
  • To create a 3D model that faithfully recapitulates the CCA tumor microenvironment.
  • To establish a tool for personalized drug testing in CCA.

Main Methods:

  • A microfluidic three-channel chip was used to co-culture primary CCA cells, cancer-associated fibroblasts, endothelial cells, and T cells.
  • The platform mimicked the tubular structure of liver vasculature.
  • Characterization included diffusion, hydrogel properties, matrix composition, cell phenotype, and functional assessments.

Main Results:

  • The CCA-on-chip platform successfully reproduced the architectural structure and maintained cell phenotype and function.
  • The 3D model showed increased hydrogel stiffness and extracellular matrix deposition, mimicking in vivo CCA.
  • The platform demonstrated reliable T cell migration and differential drug responses based on patient characteristics.

Conclusions:

  • A 3D CCA-on-chip platform integrating key tumor microenvironment components and immune infiltrate was developed.
  • This patient-specific model faithfully mimics the CCA niche.
  • The platform serves as a reliable tool for elucidating CCA mechanisms and for personalized drug testing.

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