Engineering perfusion to meet tumor biology: are vascularized tumor-on-a-chip models ready to drive therapy

Ines Poljak1,2, Ciro Chiappini1,3, Giulia Adriani2,4,5

  • 1Centre for Craniofacial and Regenerative Biology, King's College London, London, UK.

Lab on a Chip
|January 26, 2026
PubMed

Insights

Organ-on-a-chip (OoC) models with tumor vasculature offer new ways to study cancer. These advanced microfluidic platforms improve drug testing and personalized cancer therapy development.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Translational Medicine

Background:

  • The tumor microenvironment (TME) complexity, particularly its vasculature, hinders effective cancer therapies.
  • Tumor vasculature critically influences treatment response, metastasis, and immune evasion.

Purpose of the Study:

  • To review advances in vascularized tumor models using organ-on-a-chip (OoC) microfluidic technologies.
  • To highlight the role of tumor vasculature in therapy resistance and explore vascular-targeting strategies.
  • To assess the potential of OoC platforms for preclinical cancer research and drug development.

Main Methods:

  • Utilizing organ-on-a-chip (OoC) microfluidic technologies to create vascularized tumor models.
  • Employing advanced biomaterials and engineering approaches (e.g., template-based fabrication, self-organization, patient-derived organoids).
  • Integrating real-time monitoring, flow control, and functional assessment of vascular properties.

Main Results:

  • OoC models effectively recapitulate in vivo-like tumor cell, stroma, and vasculature interactions.
  • Demonstrated utility of OoC platforms in drug testing, assessing vessel permeability, and optimizing drug delivery.
  • Identified key limitations and challenges in standardization, scalability, and clinical translation.

Conclusions:

  • Vascularized OoC models represent a transformative approach for preclinical oncology research.
  • These platforms bridge the translational gap, enhancing the human-relevance of cancer models.
  • OoC technology holds significant promise for advancing personalized cancer therapeutics and improving patient outcomes.

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