Biofabrication approaches and regulatory framework of metastatic tumor-on-a-chip models for precision oncology

Daniel Nieto1,2, Gema Jiménez2,3,4,5, Lorenzo Moroni1

  • 1Complex Tissue Regeneration Department, MERLN Institute for Technology Inspired Regenerative Medicine, University of Maastricht, Universiteitssingel, Maastricht, The Netherlands.

Insights

Advanced in vitro models, like tumor-on-chips, are crucial for understanding cancer metastasis and developing personalized therapies. These sophisticated models mimic the tumor microenvironment (TME) and aid in drug development and clinical decision-making.

Area of Science:

  • Biotechnology
  • Oncology
  • Regenerative Medicine

Background:

  • Conventional anticancer treatments often fail due to tumor microenvironment (TME) complexity and metastasis.
  • There is a growing need for advanced in vitro models that accurately mimic TME and metastasis.
  • Understanding unknown mechanisms is key to developing personalized cancer therapies.

Purpose of the Study:

  • To review advancements in biofabrication of tumor-on-chips and related models.
  • To summarize progress in modeling metastasis, cancer stem cells, and angiogenesis.
  • To analyze the regulatory landscape for commercializing and clinically applying these in vitro models.

Main Methods:

  • Review of current literature on tumor-on-chips and biofabrication techniques.
  • Analysis of multiorgan-on-a-chip systems for metastasis simulation and drug screening.
  • Examination of normative and regulatory frameworks for in vitro diagnostic models.

Main Results:

  • Tumor-on-chips and multiorgan-on-a-chip systems offer sophisticated models for recapitulating tumor processes and metastasis.
  • These advanced models facilitate research on cancer stem cells and angiogenesis.
  • The review provides insights into regulatory pathways for clinical applications and personalized medicine.

Conclusions:

  • Synergistic combination of 3D bioprinting with tumor/metastasis/multiorgan-on-a-chip systems creates powerful models.
  • These models are valuable for both basic research and clinical applications in personalized oncology.
  • The development paves the way for devices aiding precision medicine and clinical decision-making.

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