Precision tumor-on-chip for personalized assessment of drug efficacy and immune cell delivery

Elena Kremneva1, Johannes Smolander2, Mimosa Peltokangas3

  • 1Translational Immunology Research Program (TRIMM), Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.

Insights

A new tumor-on-chip (TOC) platform uses patient organoids and microfluidics to model cancer drug delivery and resistance. This preclinical tool aids in evaluating therapeutic efficacy and toxicity under patient-specific conditions.

Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Microfluidics

Background:

  • Tumor heterogeneity and drug resistance impede cancer therapy effectiveness.
  • There is a critical need for patient-specific preclinical models to overcome these limitations.
  • Current models often fail to replicate the complex tumor microenvironment and drug delivery dynamics.

Purpose of the Study:

  • To develop and validate a microfluidic tumor-on-chip (TOC) platform.
  • To integrate patient-derived organoids with a functional endothelial barrier to mimic tumor vasculature.
  • To enable physiologically relevant evaluation of therapeutic efficacy, toxicity, and drug delivery.

Main Methods:

  • Development of a microfluidic platform integrating patient-derived organoids and an endothelial barrier.
  • Utilizing liquid flow to simulate vascular drug delivery into tumor tissue.
  • Assessment of immune cell migration and drug response patterns at single-cell resolution.

Main Results:

  • The TOC platform successfully recreated drug delivery from vasculature into tumor tissue.
  • The model captured cellular features of treatment resistance and pathway rewiring in pancreatic cancer.
  • Drug response patterns showed a trend toward alignment with patient clinical outcomes in an exploratory analysis.
  • The platform demonstrated utility in assessing immune cell migration.

Conclusions:

  • The developed tumor-on-chip platform offers a scalable and clinically relevant tool for cancer research.
  • It enables the study of treatment response mechanisms under physiologically constrained drug delivery conditions.
  • This technology can advance the evaluation of therapeutic efficacy and toxicity in patient-specific contexts.

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