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Related Experiment Video

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Microfluidic Device for Recreating a Tumor Microenvironment in Vitro
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Published on: November 20, 2011

12.0K

Engineering tumor spatial heterogeneity in vitro.

Chang Chong Chen1, Zixuan Zhao2, Dong Hua Seah1

  • 1Department of Biomedical Engineering, National University of Singapore, 15 Kent Ridge Crescent, 119276, Singapore.

Advanced Drug Delivery Reviews
|December 12, 2025
PubMed
Summary

Tumor microenvironment spatial heterogeneity impacts cancer evolution and therapy resistance. New engineering technologies can now reconstruct this complexity for better understanding and treatment innovation.

Keywords:
Drug developmentEngineered tumor modelsSpatial heterogeneityTumor microenvironment

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Area of Science:

  • Oncology and Cancer Biology
  • Biomedical Engineering
  • Biotechnology

Background:

  • Spatial heterogeneity, including variations in cell composition, phenotypes, extracellular matrix (ECM), and gradients, is crucial in the tumor microenvironment.
  • These spatial patterns influence tumor evolution, immune response, and therapeutic resistance.
  • Current in vitro models lack the architectural complexity to replicate in vivo tumor heterogeneity.

Purpose of the Study:

  • To review the current understanding of spatial heterogeneity in cancer.
  • To explore how engineering technologies can reconstruct tumor spatial organization.
  • To guide future developments in tumor biology and therapeutic innovation.

Main Methods:

  • Review of advances in spatial transcriptomics and multiplex imaging.
  • Discussion of engineering technologies like 3D bioprinting, organoid assembloids, organ-on-a-chip systems, and ECM-mimetic scaffolds.
  • Integration of patient-derived cells, tunable matrix environments, and spatially defined signaling.

Main Results:

  • Engineering technologies enable controlled reconstruction of tumor spatial organization and microregional heterogeneity.
  • These models allow integration of patient-derived cells and tunable environments.
  • Combined with spatial omics, these models facilitate mechanistic exploration and evaluation of therapeutic responses.

Conclusions:

  • Reconstructing tumor spatial heterogeneity using engineering approaches is vital for understanding cancer biology.
  • These advanced models offer new avenues for evaluating therapeutic efficacy and overcoming immunotherapy resistance.
  • Future innovations lie in integrating spatial biology with engineering strategies for personalized cancer therapy.