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Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation
Open accessAbstract
Significance: The cancer biology seed-and-soil paradigm recognizes the existence of organ-specific patterns of metastasization that drive the spread of selected primary tumors toward specific secondary loci. However, despite efforts to model the organotypic microenvironment, the organ specificity of cancer metastases needs to be elucidated. The relevance of this study lies in the generation of a human vascularized organ-specific microenvironment, which can be used to investigate and tune the extravasation process of metastatic tumor cells. Furthermore, beyond mimicking the pro- or antimetastatic signatures of different microenvironments, our microfluidic model provides insights into different properties of organ-specific endothelia. This study paves the way toward advanced in vitro models to screen for highly tailored organ-specific therapeutics and investigate key molecular pathways involved in organ-specific metastases.
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“Through this, it was shown that adenosine played an important role in promoting tumor cells extravasation.”
From Microfluidic modelling of the tumor microenvironment for anti-cancer drug development (2019) · cites this paper as [98]
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“By blocking A3 adenosine receptors, cancer cells were observed to have a reduced extravasation rate.”
From Microfluidic modelling of the tumor microenvironment for anti-cancer drug development (2019) · cites this paper as [98]
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“Endothelial cells displayed morphological features similar to in vivo conditions, contrasting to poorly aligned cells grown in 2D cultures or deprived of fl ow.”
From 3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions (2021) · cites this paper as [78]
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“This micro fl uidic device not only promoted the perfusable culture of four different cells types but also proved to be an appropriate platform for monitoring cancer cell extravasation in real time.”
From 3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions (2021) · cites this paper as [78]
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“The results indicated inhibitory role of adenosine on extravasation as blocking A3 adenosine receptors increased extravasation rates of breast cancer cells into the myoblast, mimicking microenvironments compared with untreated cells [57].”
From Tumor microenvironment complexity and therapeutic implications at a glance (2020) · cites this paper as [57]
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“Fortunately, with the development of biofabrication techniques, microfluidic and 3D bioprinting technologies have been employed to create more in vivo‐like perfusable 3D tumor models in the biomimetic matrix.[ 72 , 161 ]”
From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [161]
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“CoC models can be applied to elucidate these effects, and researchers have developed vascularized CoC models to study extravasation to bone [74][75][76], brain [77,78], and other organs [79]”
From Cancer-on-chip models for metastasis: importance of the tumor microenvironment (2024) · cites this paper as [75]
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Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited
Fidler, I. J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1098 · Cited by 4,686
Dissemination and growth of cancer cells in metastatic sites
Chambers, A. F., Groom, A. C., & MacDonald, I. C. (2002) · Nature reviews. Cancer · doi:10.1038/nrc865 · Cited by 4,018
Tumor Metastasis: Molecular Insights and Evolving Paradigms
Valastyan, S., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.024 · Cited by 4,011
Cell Migration: A Physically Integrated Molecular Process
Lauffenburger, D. A., & Horwitz, A. F. (1996) · Cell · doi:10.1016/s0092-8674(00)81280-5 · Cited by 3,915
Metastasis: from dissemination to organ-specific colonization
Nguyen, D. X., Bos, P. D., & Massagué, J. (2009) · Nature reviews. Cancer · doi:10.1038/nrc2622 · Cited by 2,716
Molecular regulation of vessel maturation
Jain, R. K. (2003) · Nature Medicine · doi:10.1038/nm0603-685 · Cited by 2,594
Tumor Self-Seeding by Circulating Cancer Cells
Kim, M.-Y., Oskarsson, T., Acharyya, S., Nguyen, D. X., Zhang, X. H.-F., Norton, L., & Massagué, J. (2009) · Cell · doi:10.1016/j.cell.2009.11.025 · Cited by 1,335
Crossing the endothelial barrier during metastasis
Reymond, N., d'Água, B. B., & Ridley, A. J. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3628 · Cited by 922
Three-dimensional microfluidic model for tumor cell intravasation and endothelial barrier function
Zervantonakis, I. K., Hughes-Alford, S. K., Charest, J. L., Condeelis, J. S., Gertler, F. B., & Kamm, R. D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210182109 · Cited by 872
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Hydrogels as a New Platform to Recapitulate the Tumor Microenvironment
Ermis, M., Çalamak, S., Calibasi‐Kocal, G., Güven, S., Durmus, N. G., Rizvi, I., Hasan, T. G., Hasırcı, N., Hasırcı, V., & Demirci, U. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813339-2.00015-3 · Cited by 28
Microfluidic-based biomimetic models for life science research
Jiang, K., Dong, C., Xu, Y., & Wang, L. (2016) · RSC Advances · doi:10.1039/c6ra05691a · Cited by 22
Bone microphysiological models for biomedical research
Verdugo-Avello, F., Wychowaniec, J. K., Villacis-Aguirre, C. A., D’Este, M., & Toledo, J. R. (2025) · Lab on a Chip · doi:10.1039/d4lc00762j · Cited by 24
3D Bioprinting Models for Glioblastoma: From Scaffold Design to Therapeutic Application
Branco, F., Cunha, J., Mendes, M., Sousa, J., & Vitorino, C. (2025) · Advanced Materials · doi:10.1002/adma.202501994 · Cited by 24
Manipulation of cancer cells in a sessile droplet via travelling surface acoustic waves
Nam, H., Sung, H. J., Park, J., & Jeon, J. S. (2021) · Lab on a Chip · doi:10.1039/d1lc00801c · Cited by 22
Self-citationBiomaterials to promote vascularization in tissue engineering organs and ischemic fibrotic diseases
Zhao, W., Zhu, J., Hang, J., & Zeng, W. (2022) · MedComm – Biomaterials and Applications · doi:10.1002/mba2.16 · Cited by 20
Reduction of breast cancer extravasation via vibration activated osteocyte regulation
Song, X., Lin, C.-Y., Mei, X., Wang, L., & You, L. (2022) · iScience · doi:10.1016/j.isci.2022.105500 · Cited by 24
Hikimoto, D., Nishiguchi, A., Matsusaki, M., & Akashi, M. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600180 · Cited by 20
Complementary, Semiautomated Methods for Creating Multidimensional PEG-Based Biomaterials
Brooks, E. A., Jansen, L., Gencoglu, M. F., Yurkevicz, A. M., & Peyton, S. R. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.7b00737 · Cited by 22
Mollica, H., Coclite, A., Miali, M. E., Pereira, R. C., Paleari, L., Manneschi, C., DeCensi, A., & Decuzzi, P. (2018) · Biomicrofluidics · doi:10.1063/1.5022879 · Cited by 21
Microfluidic analysis of heterotypic cellular interactions: A review of techniques and applications
Sakthivel, K., O’Brien, A., Kim, K., & Hoorfar, M. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.03.026 · Cited by 22
Engineering Patient-on-a-Chip Models for Personalized Cancer Medicine
Caballero, D., Reis, R. L., & Kundu, S. C. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-36588-2_4 · Cited by 21
Ghoshal, D., Petersen, I., Ringquist, R., Kramer, L., Bhatia, E., Hu, T., Richard, A., Park, R., Corbin, J., Agarwal, S., et al. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.123016 · Cited by 20
Desmoplastic Reaction in 3D‐Pancreatic Cancer Tissues Suppresses Molecular Permeability
Matsusaki, M., Komeda, M., Mura, S., Tanaka, H. Y., Kano, M. R., Couvreur, P., & Akashi, M. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700057 · Cited by 20
Progress in mimicking brain microenvironments to understand and treat neurological disorders
Ngo, M. T., & Harley, B. A. C. (2021) · APL Bioengineering · doi:10.1063/5.0043338 · Cited by 21
Zhou, L., Liu, L., Chang, M. A., Ma, C., Chen, W., & Chen, P. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115064 · Cited by 20
On‐Chip Reconstitution of Uniformly Shear‐Sensing 3D Matrix‐Embedded Multicellular Blood Microvessel
Vo, Q., Carlson, K. A., Chiknas, P. M., Brocker, C. N., DaSilva, L., Clark, E., Park, S. K., Ajiboye, A. S., Wier, E. M., & Benam, K. H. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202304630 · Cited by 22
Engineering Heterogeneous Tumor Models for Biomedical Applications
Wu, Z., Huang, D., Wang, J., Zhao, Y., Sun, W., & Shen, X. (2023) · Advanced Science · doi:10.1002/advs.202304160 · Cited by 19
Ghosh, L. D., Mathur, T., Tronolone, J. J., Chuong, A. B., Rangel, K., Corvigno, S., Sood, A. K., & Jain, A. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202304263 · Cited by 21
Embracing Mechanobiology in Next Generation Organ-On-A-Chip Models of Bone Metastasis
Slay, E., Meldrum, F. C., Pensabene, V., & Amer, M. H. (2021) · Frontiers in Medical Technology · doi:10.3389/fmedt.2021.722501 · Cited by 20
Kim, H., Osaki, T., Kamm, R. D., & Asada, H. H. (2022) · Biofabrication · doi:10.1088/1758-5090/ac933d · Cited by 16
Self-citationProteolytic and mechanical remodeling of the extracellular matrix by invadopodia in cancer
Perrin, L., & Gligorijevic, B. (2022) · Physical Biology · doi:10.1088/1478-3975/aca0d8 · Cited by 21
Sood, A., Kumar, A., Gupta, V. K., Kim, C. M., & Han, S. S. (2022) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.2c01080 · Cited by 21
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Nguyen, H. T., Peirsman, A., Tirpáková, Z., Mandal, K., Vanlauwe, F., Maity, S., Kawakita, S., Khorsandi, D., Herculano, R. D., Umemura, C., et al. (2023) · Micromachines · doi:10.3390/mi14050978 · Cited by 19
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Syahruddin, M. H., Anggraeni, R., & Ana, I. D. (2023) · Future Science OA · doi:10.2144/fsoa-2023-0061 · Cited by 20
You-on-a-chip’ for precision medicine
Low, L. A., & Tagle, D. A. (2018) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2018.1456333 · Cited by 18
Revolutionizing bone healing: the role of 3D models
Pace, R. D., Iaquinta, M. R., Benkhalqui, A., D’Agostino, A., Trevisiol, L., Nocini, R., Mazziotta, C., Rotondo, J. C., Bononi, I., Tognon, M. G., et al. (2025) · Cell Regeneration · doi:10.1186/s13619-025-00225-1 · Cited by 21
Vascularizing organoids-on-chip for perfused and personalized models
Menzani, B., Gea, P. D., Gidrol, X., & Tubbs, E. (2026) · Lab on a Chip · doi:10.1039/d5lc00890e · Cited by 20
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Martinez, S. A., Berens, E. B., Sharif, G. M., Glasgow, E. F., & Wellstein, A. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1350-4_1 · Cited by 18
Laser-based fabrication of 3D hydrogel constructs using bessel beams
Liew, W. L. A., & Zhang, Y. (2018) · Bioprinting · doi:10.1016/j.bprint.2018.02.004 · Cited by 18
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Boutin, M. E., Hampton, C., Quinn, R., Ferrer, M., & Song, M. J. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-28471-8_7 · Cited by 19
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Berens, E. B., Sharif, G. M., Wellstein, A., & Glasgow, E. F. (2016) · Journal of Visualized Experiments · doi:10.3791/55007 · Cited by 17
Atmospheric nanoparticles affect vascular function using a 3D human vascularized organotypic chip
Li, Y., Wu, Y., Liu, Y., Deng, Q., Mak, M., & Yang, X. (2019) · Nanoscale · doi:10.1039/c9nr03622a · Cited by 17
Modelling skeletal pain harnessing tissue engineering
Iafrate, L., Benedetti, M. C., Donsante, S., Rosa, A., Corsi, A., Oreffo, R. O. C., Riminucci, M., Ruocco, G., Scognamiglio, C., & Cidonio, G. (2022) · In vitro models · doi:10.1007/s44164-022-00028-7 · Cited by 17
Spatially patterned 3D model mimics key features of cancer metastasis to bone
Díaz, E. C. G., Tai, M., Monette, C. E., Wu, J. Y., & Yang, F. (2023) · Biomaterials · doi:10.1016/j.biomaterials.2023.122163 · Cited by 17
Organ-on-Chip: Advancing Nutraceutical Testing for Improved Health Outcomes
Farooqi, M. A., Kang, C.-U., & Choi, K. H. (2023) · ACS Omega · doi:10.1021/acsomega.3c03155 · Cited by 18
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van der Linden, J., Trap, L., Scherer, C. V., Roks, A. J. M., Danser, A. H. J., van der Pluijm, I., & Cheng, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242015379 · Cited by 17
Review Article: Capturing the physiological complexity of the brain's neuro-vascular unit in vitro
Heidari, H., & Taylor, H. (2018) · Biomicrofluidics · doi:10.1063/1.5045126 · Cited by 18
Miali, M. E., Colasuonno, M., Surdo, S., Palomba, R., Pereira, R. C., Rondanina, E., Diaspro, A., Pascazio, G., & Decuzzi, P. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b09453 · Cited by 17
Wu, Y., Li, Y., Zheng, L., Wang, P., Liu, Y., Wu, Y., & Gong, Z. (2019) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2019.110077 · Cited by 17
Organotypic Modeling of the Tumor Landscape
Haykal, M. M., Nahmias, C., Varon, C., & Martin, O. C. B. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.606039 · Cited by 18
Ninno, A. D., Bertani, F. R., Gerardino, A., Schiavoni, G., Musella, M., Galassi, C., Mattei, F., Sistigu, A., & Businaro, L. (2021) · Journal of Visualized Experiments · doi:10.3791/61895 · Cited by 17
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Nguyen, D., Famiglietti, J. E., Smolchek, R. A., Dupee, Z., Diodati, N. G., Pedro, D. I., Urueña, J. M., Schaller, M. A., & Sawyer, W. G. (2022) · Cells · doi:10.3390/cells11060967 · Cited by 17
Xiao, Y., Liu, C., Chen, Z., Blatchley, M. R., Kim, D., Zhou, J., Xu, M., Gerecht, S., & Fan, R. (2019) · Advanced Biosystems · doi:10.1002/adbi.201900089 · Cited by 18
Plesselova, S., Calar, K., Axemaker, H., Sahly, E., Bhagia, A., Faragher, J. L., Fink, D. M., & de la Puente, P. (2024) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-024-00817-y · Cited by 18
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Ro, J., Kim, J., Park, J., Choi, Y., & Cho, Y. (2025) · Advanced Science · doi:10.1002/advs.202410659 · Cited by 16
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Odell, A. F., & Mannion, A. J. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2059-5_21 · Cited by 16
Lam, J., Lee, B., Yu, J., Kwee, B. J., Kim, Y., Kim, J., Choi, Y., Yoon, J. S., Kim, Y., Baek, K., et al. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121826 · Cited by 16
Ngo, H. T., Amartumur, S., Tran, V. T. A., Tran, M., Diep, Y. N., Cho, H., & Lee, L. P. (2023) · Biosensors · doi:10.3390/bios13020231 · Cited by 15
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Buskin, A., Scott, E., Nelson, R., Gaughan, L., Robson, C. N., Heer, R., & Hepburn, A. C. (2023) · Oncogene · doi:10.1038/s41388-023-02776-6 · Cited by 17
Khanna, A., Oropeza, B. P., & Huang, N. F. (2023) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.37602 · Cited by 20
Liu, Y., Liu, Y., Zheng, X. S., Zhao, L., & Zhang, X. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.201901713 · Cited by 16
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Jeong, D. P., Hall, E., Neu, E., & Hanjaya‐Putra, D. (2022) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-022-00730-2 · Cited by 17
Xu, H. M., Li, Z., Guo, Y., Peng, X., & Qin, J. (2016) · Electrophoresis · doi:10.1002/elps.201600278 · Cited by 16
Kernel-Based Microfluidic Constriction Assay for Tumor Sample Identification
Ren, X., Ghassemi, P., KANAAN, Y. M., Naab, T. J., Copeland, R., DeWitty, R. L., Kim, I., Strobl, J. S., & Agah, M. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00301 · Cited by 16
Vascular microphysiological systems (MPS): biologically relevant and potent models
Breuil, L., Kitada, A., Yadav, S., Zhou, H., Fujimoto, K., & Yokokawa, R. (2025) · Lab on a Chip · doi:10.1039/d5lc00014a · Cited by 15
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Katz, R. R., & West, J. L. (2022) · Cancers · doi:10.3390/cancers14051225 · Cited by 15
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Choi, J. R., Kozalak, G., di Bari, I., Babar, Q., Niknam, Z., Rasmi, Y., & Yong, K. W. (2022) · Cancers · doi:10.3390/cancers14092284 · Cited by 16
Guo, Z., Yang, C., Chien, C., Selth, L. A., Bagnaninchi, P., & Thierry, B. (2022) · Small Methods · doi:10.1002/smtd.202200471 · Cited by 15
3D spheroid-microvasculature-on-a-chip for tumor-endothelium mechanobiology interplay
Zhang, Y., Jiang, F., Zhao, Y. C., Cho, A., Fang, G., Cox, C. D., Zreiqat, H., Lu, Z. F., Lu, H., & Ju, L. A. (2023) · Biomedical Materials · doi:10.1088/1748-605x/ace7a4 · Cited by 15
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Regier, M. C., Alarid, E. T., & Beebe, D. J. (2016) · Integrative Biology · doi:10.1039/c6ib00001k · Cited by 17
Sisak, M. A. A., Louis, F., Aoki, I., Lee, S. H., Chang, Y., & Matsusaki, M. (2021) · Small Methods · doi:10.1002/smtd.202100338 · Cited by 15
Differential angiogenesis of bone and muscle endothelium in aging and inflammatory processes
Arrigoni, C., Ostano, P., Bersini, S., Crippa, M., Colombo, M. V., Gilardi, M., Zagra, L., Grand, M. M., Gregnanin, I., Ghilardi, C., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04515-9 · Cited by 15
Self-citationSelf-assembly of vascularized tissue to support tumor explants in vitro
Bazou, D., Maimon, N., Gruionu, G., & Munn, L. L. (2016) · Integrative Biology · doi:10.1039/c6ib00108d · Cited by 16
Bioprinting of three-dimensional culture models and organ-on-a-chip systems
Huang, Y. Y. S., Zhang, D., & Liu, Y. (2017) · MRS Bulletin · doi:10.1557/mrs.2017.163 · Cited by 15
Oliveira, C. S., Nadine, S., Gomes, M. C., Correia, C. R., & Mano, J. F. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.07.001 · Cited by 15
Lee, S., Kim, S., & Jeon, J. S. (2022) · Lab on a Chip · doi:10.1039/d2lc00672c · Cited by 14
Self-citationBuilding Blood Vessel Chips with Enhanced Physiological Relevance
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Tan, M. L., Jenkins-Johnston, N., Huang, S., Schutrum, B. E., Vadhin, S., Adhikari, A., Williams, R. M., Zipfel, W. R., Lammerding, J., Varner, J. D., et al. (2023) · APL Bioengineering · doi:10.1063/5.0171109 · Cited by 14
Jaiswal, C., & Mandal, B. B. (2024) · Advanced Therapeutics · doi:10.1002/adtp.202300450 · Cited by 16
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Dai, W., Liang, J., Guo, R., Zhao, Z., Na, Z., Xu, D., & Li, D. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2024.101045 · Cited by 15
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Carvalho, M. R., Truckenmüller, R. K., Reis, R. L., & Oliveira, J. M. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-36588-2_8 · Cited by 14
Developments of microfluidics for orthopedic applications: A review
Sun, M., Gong, J., Cui, W., Li, C., Yu, M., Ye, H., Cui, Z., Chen, J., He, Y., Liu, A., et al. (2022) · Smart Materials in Medicine · doi:10.1016/j.smaim.2022.07.001 · Cited by 14
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Morgan, M. M., Schuler, L. A., Ciciliano, J. C., Johnson, B. P., Alarid, E. T., & Beebe, D. J. (2020) · Integrative Biology · doi:10.1093/intbio/zyaa002 · Cited by 14
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Self-citationSudhakaran, S. V., Mehta, V., Jilla, S., & Rath, S. N. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.151202 · Cited by 13
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Metadata
- Authors
- Jeon, J. S., Bersini, S., Gilardi, M., Dubini, G., Charest, J. L., Moretti, M., & Kamm, R. D.
- Affiliations
- Massachusetts Institute of Technology (US)
- IRCCS Ospedale Galeazzi - Sant'Ambrogio (IT)
- Politecnico di Milano (IT)
- Draper Laboratory (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-12-18
- Volume
- 112
- Issue
- 1
- Pages
- 214-219
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4291627
- OpenAlex
- W2081560083
- Semantic Scholar
- f475569e9cefbccc34378d56e185a60e479f18b8
- Cited by
- 723
- References
- 44
- Citations by year
- 2026: 28 · 2025: 44 · 2024: 53 · 2023: 71 · 2022: 79 · 2021: 85 · 2020: 83 · 2019: 71 · 2018: 77 · 2017: 59 · 2016: 52 · 2015: 21
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-02-02)
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- BOA (University of Milano-Bicocca) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- HHS | NIH | National Cancer Institute (R33 CA174550-01, R21 CA140096)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Keywords
- breast cancer, tumor cell extravasation, organ-specific metastasis, microvascular permeability, A3 adenosine receptor, drug screening, personalized medicine
- MeSH terms
- Adenosine, Animals, Breast Neoplasms, Capillary Permeability, Extravasation of Diagnostic and Therapeutic Materials, Female, Humans, Stress, Mechanical, Shear Strength, Microfluidics, Cell Line, Tumor, Mice, Microvessels, Cellular Microenvironment, Human Umbilical Vein Endothelial Cells
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