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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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Items 101–200 of 722
Organ-on-a-chip systems for vascular biology
Mandrycky, C., Howard, C. C., Rayner, S. G., Shin, Y. J., & Zheng, Y. Y. (2021) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2021.06.002 · Cited by 102
The emergence of 3D bioprinting in organ-on-chip systems
Fetah, K., Tebon, P. J., Goudie, M. J., Eichenbaum, J., Ren, L. M., de Barros, N. R., Nasiri, R., Ahadian, S., Ashammakhi, N. A., Dokmeci, M. R., et al. (2019) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ab23df · Cited by 106
A 3D Printed Hanging Drop Dripper for Tumor Spheroids Analysis Without Recovery
Zhao, L., Xiu, J., Liu, Y., Zhang, T., Pan, W., Zheng, X. S., & Zhang, X. (2019) · Scientific Reports · doi:10.1038/s41598-019-56241-0 · Cited by 101
InVADE: integrated vasculature for assessing dynamic events
Lai, B. F. L., Huyer, L. D., Lu, R. X. Z., Drecun, S., Radisic, M., & Zhang, B. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201703524 · Cited by 97
A Microvascularized Tumor-mimetic Platform for Assessing Anti-cancer Drug Efficacy
Pradhan, S., Smith, A. M., Garson, C. J., Hassani, I., Seeto, W. J., Pant, K., Arnold, R. D., Prabhakarpandian, B., & Lipke, E. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-21075-9 · Cited by 99
Grafting of 3D Bioprinting to In Vitro Drug Screening: A Review
Nie, J., Gao, Q., Fu, J., & He, Y. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.201901773 · Cited by 100
Advances of Microfluidics in Biomedical Engineering
Zhong, Q., Ding, H., Gao, B., He, Z., & Gu, Z. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800663 · Cited by 101
The biophysics and mechanics of blood from a materials perspective
Qiu, Y., Myers, D. R., & Lam, W. A. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0099-y · Cited by 98
How cells respond to environmental cues – insights from bio-functionalized substrates
Ruprecht, V., Monzo, P., Ravasio, A., Zhang, Y., Makhija, E., Strale, P., Gauthier, N. C., Shivashankar, G. V., Studer, V., Albigès‐Rizo, C., et al. (2016) · Journal of Cell Science · doi:10.1242/jcs.196162 · Cited by 101
Engineering 3D approaches to model the dynamic microenvironments of cancer bone metastasis
Qiao, H., & Tang, T. (2018) · Bone Research · doi:10.1038/s41413-018-0008-9 · Cited by 94
Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics
Mak, M., Spill, F., Kamm, R. D., & Zaman, M. H. (2015) · Journal of Biomechanical Engineering · doi:10.1115/1.4032188 · Cited by 100
Self-citationTissue Engineering and Regenerative Medicine 2015: A Year in Review
Wobma, H., & Vunjak‐Novakovic, G. (2015) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2015.0535 · Cited by 92
Kurokawa, Y. K., Yin, R. T., Shang, M. R., Shirure, V. S., Moya, M. L., & George, S. C. (2017) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2017.0133 · Cited by 94
Engineering Precision Medicine
Sun, W., Lee, J., Zhang, S., Benyshek, C., Dokmeci, M. R., & Khademhosseini, A. (2018) · Advanced Science · doi:10.1002/advs.201801039 · Cited by 96
Bersini, S., Gilardi, M., Arrigoni, C., Talò, G., Zamai, M., Zagra, L., Caiolfa, V. R., & Moretti, M. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.10.057 · Cited by 93
Self-citationPeela, N., Truong, D. D., Saini, H., Chu, H., Mashaghi, S., Ham, S. L., Singh, S. K., Tavana, H., Mosadegh, B., & Nikkhah, M. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.04.017 · Cited by 97
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Lee, S., Ko, J., Park, D., Lee, B., Chung, M., Lee, Y., & Jeon, N. L. (2018) · Lab on a Chip · doi:10.1039/c8lc00285a · Cited by 97
Lim, J. T. C., Kwang, L. G., Ho, N. C. W., Toh, C. C. M., Too, N. S. H., Hooi, L., Benoukraf, T., Chow, P. K. H., Dan, Y. Y., Chow, E. K., et al. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121527 · Cited by 91
Bioprinting of in vitro tumor models for personalized cancer treatment: a review
Mao, S., Pang, Y., Liu, T., Shao, Y., He, J., Yang, H., Mao, Y., & Sun, W. (2020) · Biofabrication · doi:10.1088/1758-5090/ab97c0 · Cited by 90
Nie, J., Gao, Q., Xie, C., Lv, S., Qiu, J., Liu, Y., Guo, M. A., Guo, R., Fu, J., & He, Y. (2019) · Materials Horizons · doi:10.1039/c9mh01283d · Cited by 89
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Geraili, A., Jafari, P., Hassani, M. S., Araghi, B. H., Mohammadi, M. H., Ghafari, A. M., Tamrin, S. H., Modarres, H. P., Kolahchi, A. R., Ahadian, S., et al. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700426 · Cited by 90
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Mei, X., Middleton, K., Shim, D., Wan, Q., Xu, L., Ma, Y.-H. V., Devadas, D., Walji, N., Wang, L., Young, E. W. K., et al. (2019) · Integrative Biology · doi:10.1093/intbio/zyz008 · Cited by 92
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Roudsari, L. C., & West, J. L. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.11.004 · Cited by 89
Kim, W.-J., & Kim, G. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b17410 · Cited by 87
Song, J., Miermont, A., Lim, C. T., & Kamm, R. D. (2018) · Scientific Reports · doi:10.1038/s41598-018-36381-5 · Cited by 87
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Pradhan, S., Keller, K. A., Sperduto, J. L., & Slater, J. H. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700681 · Cited by 87
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Ergir, E., Bachmann, B., Redl, H. R., Forte, G., & Ertl, P. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01417 · Cited by 86
Ong, L. J. Y., Ching, T., Chong, L. H., Arora, S., Li, H., Hashimoto, M., DasGupta, R., Yuen, P. K., & Toh, Y. (2019) · Lab on a Chip · doi:10.1039/c9lc00160c · Cited by 87
Seo, S., Nah, S.-Y., Lee, K., Choi, N., & Kim, H. N. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202106860 · Cited by 87
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Pradhan, S., Hassani, I., Clary, J. M., & Lipke, E. A. (2016) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2015.0567 · Cited by 87
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Alderfer, L., Wei, A. Y., & Hanjaya‐Putra, D. (2018) · Journal of Biological Engineering · doi:10.1186/s13036-018-0122-7 · Cited by 89
Dhiman, N., Kingshott, P., Sümer, H., Sharma, C. S., & Rath, S. N. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.02.070 · Cited by 89
Recent advances in microfluidic technologies for organ-on-a-chip
Tian, C., Tu, Q., Liu, W., & Wang, J. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.06.005 · Cited by 86
Nothdurfter, D., Ploner, C., Coraça-Huber, D. C., Wilflingseder, D., Müller, T., Hermann, M., Hagenbuchner, J., & Ausserlechner, M. J. (2022) · Biofabrication · doi:10.1088/1758-5090/ac5fb7 · Cited by 88
“Open-top” microfluidic device for in vitro three-dimensional capillary beds
Oh, S., Ryu, H., Tahk, D., Ko, J., Chung, Y., Lee, H., Lee, T. R., & Jeon, N. L. (2017) · Lab on a Chip · doi:10.1039/c7lc00646b · Cited by 84
Hynes, W. F., Pepona, M., Robertson, C., Alvarado, J. A., Dubbin, K., Triplett, M., Adorno, J. J., Randles, A. P., & Moya, M. L. (2020) · Science Advances · doi:10.1126/sciadv.abb3308 · Cited by 84
Lim, J., Ching, H., Yoon, J., Jeon, N. L., & Kim, Y. (2021) · Nano Convergence · doi:10.1186/s40580-021-00261-y · Cited by 85
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Murphy, A. R., Campo, H., & Kim, J. J. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00725-z · Cited by 88
Rodenhizer, D., Dean, T., D'Arcangelo, E., & McGuigan, A. P. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701174 · Cited by 80
Bone/cartilage organoid on-chip: Construction strategy and application
Hu, Y., Zhang, H., Wang, S., Cao, L., Zhou, F., Jing, Y., & Su, J. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.01.016 · Cited by 87
Vat photopolymerization 3D printed microfluidic devices for organ-on-a-chip applications
Milton, L. A., Viglione, M., Ong, L. J. Y., Nordin, G. P., & Toh, Y. (2023) · Lab on a Chip · doi:10.1039/d3lc00094j · Cited by 84
Hassanzadeh, P., Kazemzadeh‐Narbat, M., Rosenzweig, R., Zhang, X., Khademhosseini, A., Annabi, N., & Rolandi, M. (2016) · Journal of Materials Chemistry B · doi:10.1039/c6tb00021e · Cited by 80
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Virumbrales-Muñoz, M., Ayuso, J. M., Gong, M. M., Humayun, M., Livingston, M. K., Lugo-Cintrón, K. M., McMinn, P. H., Álvarez-García, Y. R., & Beebe, D. J. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00705f · Cited by 78
Viscoelasticity, Like Forces, Plays a Role in Mechanotransduction
Mierke, C. T. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.789841 · Cited by 86
Emerging approaches to study cell-cell interactions in tumor microenvironment
Nishida‐Aoki, N., & Gujral, T. S. (2019) · Oncotarget · doi:10.18632/oncotarget.26585 · Cited by 76
Choi, D., Gonzalez‐Suarez, A. M., Dumbravă, M., Medlyn, M. J., de Hoyos‐Vega, J. M., Cichocki, F. M., Miller, J. S., Li, D., Zhu, M., Stybayeva, G., et al. (2023) · Advanced Science · doi:10.1002/advs.202303088 · Cited by 76
Morgan, M. M., Johnson, B. P., Livingston, M. K., Schuler, L. A., Alarid, E. T., Sung, K. E., & Beebe, D. J. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.05.007 · Cited by 75
Escribano, J., Chen, M. B., Moeendarbary, E., Cao, X., Shenoy, V. B., García‐Aznar, J. M., Kamm, R. D., & Spill, F. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006395 · Cited by 77
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Khalil, A. S., Jaenisch, R., & Mooney, D. J. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.09.012 · Cited by 76
Ozkan, A., Ghousifam, N., Hoopes, P. J., Yankeelov, T. E., & Rylander, M. N. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26919 · Cited by 73
You, Y., Kobayashi, K., Colak, B., Luo, P., Cozens, E. J., Fields, L., Suzuki, K., & Gautrot, J. E. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120356 · Cited by 73
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Yeşil-Çeliktaş, Ö., Hassan, S., Miri, A. K., Maharjan, S., Al‐kharboosh, R., Quiñones‐Hinojosa, A., & Zhang, Y. S. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800109 · Cited by 74
Multifunctional microfluidic chip for cancer diagnosis and treatment
Guo, Q., Zhang, L.-L., Liu, J., Li, Z., Li, J.-J., Zhou, W., Wang, H., Li, J., Liu, D., Yu, X., et al. (2020) · Nanotheranostics · doi:10.7150/ntno.49614 · Cited by 76
Breast tumor-on-chip models: From disease modeling to personalized drug screening
Bano, S., Dahiya, U. R., Mishra, S., Ayache, J., Casquillas, G. V., Caballero, D., Reis, R. L., & Kundu, S. C. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.12.057 · Cited by 78
Human‐on‐Leaf‐Chip: A Biomimetic Vascular System Integrated with Chamber‐Specific Organs
Mao, M., Bei, H. P., Lam, C. H., Chen, P., Wang, S., Chen, Y., He, J., & Zhao, X. (2020) · Small · doi:10.1002/smll.202000546 · Cited by 71
Bersini, S., Gilardi, M., Ugolini, G. S., Sansoni, V., Talò, G., Perego, S., Zanotti, S., Ostano, P., Mora, M., Soncini, M., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.092 · Cited by 73
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Ngo, M. T., & Harley, B. A. C. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120207 · Cited by 72
Ekert, J. E., Deakyne, J., Pribul-Allen, P., Terry, R., Schofield, C., Jeong, C. G., Storey, J., Mohamet, L., Francis, J., Naidoo, A., et al. (2020) · SLAS DISCOVERY · doi:10.1177/2472555220923332 · Cited by 68
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Ahn, J., Sei, Y. J., Jeon, N. L., & Kim, Y. (2017) · Bioengineering · doi:10.3390/bioengineering4030064 · Cited by 71
Sympathetic activity in breast cancer and metastasis: partners in crime
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Pozzi, S., Scomparin, A., Dangoor, S. I., Ajamil, D. R., Ofek, P., Neufeld, L., Krivitsky, A., Vaskovich‐Koubi, D., Kleiner, R., Dey, P., et al. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.04.001 · Cited by 75
Bioprinting and organ-on-chip applications towards personalized medicine for bone diseases
Arrigoni, C., Gilardi, M., Bersini, S., Candrian, C., & Moretti, M. (2017) · Stem Cell Reviews and Reports · doi:10.1007/s12015-017-9741-5 · Cited by 68
Self-citationHajal, C., Ibrahim, L., Serrano, J. C., Offeddu, G. S., & Kamm, R. D. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120470 · Cited by 68
Self-citationSilvani, G., Basirun, C., Wu, H., Mehner, C., Poole, K., Bradbury, P., & Chou, J. (2021) · Advanced Therapeutics · doi:10.1002/adtp.202100106 · Cited by 72
Kumar, V., & Varghese, S. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201801198 · Cited by 73
França, C. M., Balbinot, G. D. S., Cunha, D. A., Sabóia, V. D. P. A., Ferracane, J. L., & Bertassoni, L. E. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.07.060 · Cited by 73
Ngo, M. T., & Harley, B. A. C. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700687 · Cited by 64
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Jouybar, M., de Winde, C. M., Wolf, K., Friedl, P., Mebius, R. E., & den Toonder, J. M. J. (2024) · Trends in Biotechnology · doi:10.1016/j.tibtech.2023.10.001 · Cited by 66
Sound-induced morphogenesis of multicellular systems for rapid orchestration of vascular networks
Petta, D., Basoli, V., Pellicciotta, D., Tognato, R., Barcik, J. P., Arrigoni, C., Bella, E. D., Armiento, A. R., Candrian, C., Richards, R. G., et al. (2020) · Biofabrication · doi:10.1088/1758-5090/abbb9c · Cited by 65
Self-citationMicrofluidic models for adoptive cell-mediated cancer immunotherapies
Adriani, G., Pavesi, A., Tan, A. T., Bertoletti, A., Thiery, J. P., & Kamm, R. D. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.05.006 · Cited by 68
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Parlato, S., Grisanti, G., Sinibaldi, G., Peruzzi, G., Casciola, C. M., & Gabriele, L. (2020) · Lab on a Chip · doi:10.1039/d0lc00799d · Cited by 69
Saha, B., Mathur, T., Handley, K. F., Hu, W., Afshar-Kharghan, V., Sood, A. K., & Jain, A. (2020) · Blood Advances · doi:10.1182/bloodadvances.2020001632 · Cited by 63
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Tavakol, D. N., Fleischer, S., & Vunjak‐Novakovic, G. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.05.008 · Cited by 68
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Wan, Z., Zhong, A. X., Zhang, S., Pavlou, G., Coughlin, M. F., Shelton, S. E., Nguyen, H. T., Lorch, J. H., Barbie, D. A., & Kamm, R. D. (2022) · Small Methods · doi:10.1002/smtd.202200143 · Cited by 63
Self-citationWang, Y., Mirza, S., Wu, S., Zeng, J., Shi, W., Band, H., Band, V., & Duan, B. (2018) · Oncotarget · doi:10.18632/oncotarget.25891 · Cited by 69
Conceição, F., Sousa, D. M., Loessberg-Zahl, J., Vollertsen, A. R., Neto, E., Søe, K., Paredes, J., Leferink, A., & Lamghari, M. (2022) · Materials Today Bio · doi:10.1016/j.mtbio.2022.100219 · Cited by 63
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Ahn, J., Kim, D., Koo, D.-J., Lim, J., Park, T., Lee, J., Ko, J., Kim, S., Kim, M., Kang, K., et al. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.10.009 · Cited by 64
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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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