000170045 001__ 170045
000170045 005__ 20260316092630.0
000170045 0247_ $$2doi$$a10.1016/j.addr.2026.115836
000170045 0248_ $$2sideral$$a148624
000170045 037__ $$aART-2026-148624
000170045 041__ $$aeng
000170045 100__ $$0(orcid)0000-0003-3661-7718$$aGuerrero-López, Paula$$uUniversidad de Zaragoza
000170045 245__ $$aMatrix-integrated microfluidic tumor models for evaluating drug delivery systems and pre-clinical testing
000170045 260__ $$c2026
000170045 5060_ $$aAccess copy available to the general public$$fUnrestricted
000170045 5203_ $$aDrug delivery research strongly depends on experimental models that faithfully mimic the tumor microenvironment (TME) and its barriers to evaluate therapeutic efficacy. Conventional systems provide valuable insights but suffer from some limitations in physiological relevance, reproducibility, scalability or translational predictability. In this context, microfluidic ‘tumor-on-chip’ platforms have emerged as innovative tools that integrate engineering technology to model biological complexity, offering controlled microenvironments to investigate drug penetration, transport dynamics, and therapeutic response. A distinctive aspect of these microsystems is the possibility of incorporating matrices that mimic the extracellular matrix (ECM) of different tissues. These matrices enhance the ability of the in vitro models to replicate the structural, biochemical, and mechanical features of solid tumors. In this review, we focus on the application of microfluidic matrix-integrated tumor-on-chip platforms for drug delivery evaluation. We first outline key microenvironmental features that regulate therapeutic efficacy and discuss how they can be engineered within microfluidic models. We then examine how transport dynamics and delivery mechanisms are modeled under physiologically relevant conditions and review the use of these platforms to assess a broad range of therapeutic strategies, including nanocarriers, biologics, and gene- and cell-based therapies. Finally, we highlight emerging computational and data-driven approaches, together with current translational and regulatory perspectives, that position matrix-integrated tumor-on-chip technologies as powerful preclinical tools. These models aim to bridge the gap between simplified in vitro assays and more complex in vivo studies, ultimately accelerating the translation of drug delivery systems into clinical practice and paving the way for more personalized therapeutic strategies.
000170045 536__ $$9info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101018587-ICoMICS$$9info:eu-repo/grantAgreement/ES/MCIU/PID2024-155384OB-C21
000170045 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000170045 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000170045 700__ $$0(orcid)0000-0003-1958-4432$$aAlamán-Díez, Pilar$$uUniversidad de Zaragoza
000170045 700__ $$aHernández-Hatibi, Soraya$$uUniversidad de Zaragoza
000170045 700__ $$0(orcid)0000-0002-9485-9179$$aBalsas, Patricia$$uUniversidad de Zaragoza
000170045 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, José Manuel$$uUniversidad de Zaragoza
000170045 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000170045 7102_ $$15001$$2065$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Cienc.Mater. Ingen.Metal.
000170045 773__ $$g232 (2026), 115836 [24 pp.]$$pAdv. drug deliv. rev.$$tADVANCED DRUG DELIVERY REVIEWS$$x0169-409X
000170045 8564_ $$s4675209$$uhttps://zaguan.unizar.es/record/170045/files/texto_completo.pdf$$yVersión publicada
000170045 8564_ $$s1962102$$uhttps://zaguan.unizar.es/record/170045/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000170045 909CO $$ooai:zaguan.unizar.es:170045$$particulos$$pdriver
000170045 951__ $$a2026-03-16-08:17:32
000170045 980__ $$aARTICLE