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

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Lab on a chip 📖 저널 OA 14.3% 2021: 0/1 OA 2025: 0/6 OA 2026: 3/14 OA 2021~2026 2026 Vol.26(8) p. 2415-2438 OA 3D Printing in Biomedical Research
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PubMed DOI OpenAlex 마지막 보강 2026-04-29
OpenAlex 토픽 · 3D Printing in Biomedical Research Cellular Mechanics and Interactions Cancer Cells and Metastasis

Le Manach D, Senez V, Nees M

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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.

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APA Doriane Le Manach, Vincent Senez, Matthias Nees (2026). Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery.. Lab on a chip, 26(8), 2415-2438. https://doi.org/10.1039/d5lc01131k
MLA Doriane Le Manach, et al.. "Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery.." Lab on a chip, vol. 26, no. 8, 2026, pp. 2415-2438.
PMID 41972308 ↗
DOI 10.1039/d5lc01131k

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.

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