Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery

Abstract

Physical barriers within solid tumors constitute a fundamental but often overlooked mechanism of therapeutic resistance, contributing to the poor success rate of cancer drug translation. Therapeutic molecules often fail to reach their intended targets due to mass-transport limitations imposed by the remodeled, spatially heterogeneous tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) drive dynamic remodeling of the extracellular matrix (ECM), generating local variations in stiffness, porosity, and intrinsic permeability that, together, shape evolving transport phenotypes that govern drug accessibility. We focus on mechanical pathways of stromal mechanotransduction, tracing the sequence from CAF activation through ECM remodeling, to barrier formation, and show how these processes collectively govern therapeutic outcomes. We also evaluate advanced microfluidic and tumor-on-chip (ToC) platforms that reproduce stromal heterogeneity under controlled conditions, mimicking tissue architecture, transport behavior, and therapeutic response. By enabling patient-specific profiling of CAF-driven transport phenotypes, these systems demonstrate that transport barriers are not fixed obstacles but dynamically modifiable therapeutic targets. “Transport phenotyping” could complement genomic profiling in clinical oncology by integrating heterogeneity, biophysics, and precision medicine, potentially transforming personalized treatment strategies for patients whose tumors remain refractory to current therapies.

Graphical abstract: Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery

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Article information

Article type
Critical Review
Submitted
07 Dec 2025
Accepted
09 Mar 2026
First published
13 Apr 2026
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2026, Advance Article

Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery

D. Le Manach, V. Senez and M. Nees, Lab Chip, 2026, Advance Article , DOI: 10.1039/D5LC01131K

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