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

dc.contributor.authorLe Manach, Doriane
dc.contributor.authorSenez, Vincent
dc.contributor.authorNees, Matthias
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id523039112
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/523039112
dc.date.accessioned2026-04-30T15:25:43Z
dc.description.abstract<p>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.<br></p>
dc.format.pagerange2438
dc.format.pagerange2415
dc.identifier.eissn1473-0189
dc.identifier.jour-issn1473-0197
dc.identifier.urihttps://www.utupub.fi/handle/11111/60194
dc.identifier.urlhttps://doi.org/10.1039/d5lc01131k
dc.identifier.urnURN:NBN:fi-fe2026043036726
dc.language.isoen
dc.okm.affiliatedauthorNees, Matthias
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.discipline317 Pharmacyen_GB
dc.okm.discipline317 Farmasiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherRoyal Society of Chemistry (RSC)
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1039/d5lc01131k
dc.relation.ispartofjournalLab on a Chip
dc.relation.volume26
dc.titleTumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery
dc.year.issued2026

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