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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Adenosine played an important role in promoting tumor cell extravasation.
“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]
The Results (p. 5) report that adding adenosine significantly reduced cancer cell extravasation, from 56.5% to 12.7%, rather than promoting it. The Fig. 3 caption (p. 6) confirms that extravasation decreased with adenosine. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn a model where MDA-MB-231 suspension was flowed into a vascular network to model extravasation, blocking A3 adenosine receptors reduced the extravasation rate of cancer cells.
“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]
The Results (p. 5) report the opposite effect: blocking A3 adenosine receptors with PSB-10 significantly increased cancer cell extravasation in C2C12-containing matrices, from 8.2 ± 2.3% to 32.4 ± 7.7%. The Fig. 3 caption (p. 6) also states that extravasation increased with receptor blockade. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredEndothelial cells in a 3D microvascular network displayed morphological features similar to in vivo conditions, contrasting with poorly aligned cells grown in 2D cultures or deprived of flow.
“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]
The microfluidic device promoted perfusable culture of four different cell types and proved to be an appropriate platform for monitoring cancer cell extravasation in real time.
“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]
Adenosine inhibits extravasation, as blocking A3 adenosine receptors increased extravasation rates of breast cancer cells into myoblast-mimicking microenvironments compared with untreated cells.
“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]
Microfluidic and 3D bioprinting technologies have been employed to create more in vivo-like perfusable 3D tumor models in the biomimetic matrix.
“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]
CoC models can be applied to elucidate these effects, and researchers have developed vascularized CoC models to study extravasation to bone, brain, and other organs.
“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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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 · see citing works
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 · see citing works
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 · see citing works
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 3,920 · see citing works
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 · see citing works
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 2,637 · see citing works
Molecular regulation of vessel maturation
Jain, R. K. (2003) · Nature Medicine · doi:10.1038/nm0603-685 · Cited by 2,515 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationEngineering of functional, perfusable 3D microvascular networks on a chip
Kim, S., Lee, H., Chung, M., & Jeon, N. L. (2013) · Lab on a Chip · doi:10.1039/c3lc41320a · Cited by 872 · see citing works
Al‐Mehdi, A., Tozawa, K., Fisher, A. B., Shientag, L., Lee, A., & Muschel, R. J. (2000) · Nature Medicine · doi:10.1038/71429 · Cited by 706 · see citing works
Microfluidic assay for simultaneous culture of multiple cell types on surfaces or within hydrogels
Shin, Y., Han, S., Jeon, J. S., Yamamoto, K., Zervantonakis, I. K., Sudo, R., Kamm, R. D., & Chung, S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.051 · Cited by 617 · see citing works
Self-citationSchumacher, D., Strilic, B., Sivaraj, K., Wettschureck, N., & Offermanns, S. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.05.008 · Cited by 614 · see citing works
Independent regulation of tumor cell migration by matrix stiffness and confinement
Pathak, A., & Kumar, S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1118073109 · Cited by 569 · see citing works
Formation of perfused, functional microvascular tubes in vitro
Chrobak, K. M., Potter, D. R., & Tien, J. (2006) · Microvascular Research · doi:10.1016/j.mvr.2006.02.005 · Cited by 555 · see citing works
A microfluidic 3D in vitro model for specificity of breast cancer metastasis to bone
Bersini, S., Jeon, J. S., Dubini, G., Arrigoni, C., Chung, S., Charest, J. L., Moretti, M., & Kamm, R. D. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2013.11.050 · Cited by 534 · see citing works
Self-citationInterstitial flow influences direction of tumor cell migration through competing mechanisms
Polacheck, W. J., Charest, J. L., & Kamm, R. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103581108 · Cited by 509 · see citing works
Self-citationIdentification of genes that regulate epithelial cell migration using an siRNA screening approach
Simpson, K., Selfors, L., Bui, J., Reynolds, A., Leake, D., Khvorova, A., & Brugge, J. (2008) · Nature Cell Biology · doi:10.1038/ncb1762 · Cited by 448 · see citing works
<i>In Vitro</i> Perfused Human Capillary Networks
Moya, M. L., Hsu, Y.-H., Lee, A. P., Hughes, C. C. W., & George, S. C. (2013) · Tissue Engineering Part C: Methods · doi:10.1089/ten.tec.2012.0430 · Cited by 387 · see citing works
Visualizing extravasation dynamics of metastatic tumor cells
Stoletov, K. V., Kato, H., Zardouzian, E., Kelber, J. A., Yang, J., Shattil, S. J., & Klemke, R. L. (2010) · Journal of Cell Science · doi:10.1242/jcs.069443 · Cited by 334 · see citing works
Microfluidic Endothelium for Studying the Intravascular Adhesion of Metastatic Breast Cancer Cells
Song, J. W., Cavnar, S. P., Walker, A. C., Luker, K. E., Gupta, M., Tung, Y.-C., Luker, G. D., & Takayama, S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005756 · Cited by 317 · see citing works
The bone microenvironment in metastasis; what is special about bone?
Bussard, K. M., Gay, C. V., & Mastro, A. M. (2007) · Cancer and Metastasis Reviews · doi:10.1007/s10555-007-9109-4 · Cited by 305 · see citing works
Differential Expression of Adenosine Receptors in Human Endothelial Cells
Feoktistov, I., Goldstein, A. E., Ryzhov, S. V., Zeng, D., Belardinelli, L., Voyno-Yasenetskaya, T., & Biaggioni, I. (2002) · Circulation Research · doi:10.1161/01.res.0000012203.21416.14 · Cited by 271 · see citing works
In vitro model of tumor cell extravasation
Jeon, J. S., Zervantonakis, I. K., Chung, S., Kamm, R. D., & Charest, J. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056910 · Cited by 233 · see citing works
Self-citationInflammatory chemokines and metastasis—tracing the accessory
Borsig, L., Wolf, M. J., Roblek, M., Lorentzen, A., & Heikenwälder, M. F. (2013) · Oncogene · doi:10.1038/onc.2013.272 · Cited by 231 · see citing works
Jeon, J. S., Bersini, S., Whisler, J. A., Chen, M. B., Dubini, G., Charest, J. L., Moretti, M., & Kamm, R. D. (2014) · Integrative Biology · doi:10.1039/c3ib40267c · Cited by 229 · see citing works
Self-citationSung, K. E., Yang, N., Pehlke, C., Keely, P. J., Eliceiri, K. W., Friedl, A., & Beebe, D. J. (2011) · Integr. Biol. · doi:10.1039/c0ib00063a · Cited by 226 · see citing works
A Mouse Model of Human Breast Cancer Metastasis to Human Bone
Kuperwasser, C., Dessain, S. K., Bierbaum, B. E., Garnet, D., Sperandio, K., Gauvin, G. P., Naber, S. P., Weinberg, R. A., & Rosenblatt, M. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-1408 · Cited by 212 · see citing works
The A3 Adenosine Receptor Is Highly Expressed in Tumor versus Normal Cells
Madi, L., Ochaion, A., Rath‐Wolfson, L., Bar‐Yehuda, S., Erlanger, A., Ohana, G., Harish, A., Merimski, O., Barer, F., & Fishman, P. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-03-0651 · Cited by 189 · see citing works
CD73 and adenosine generation in the creation of regulatory microenvironments
Regateiro, F. S., Cobbold, S. P., & Waldmann, H. (2012) · Clinical & Experimental Immunology · doi:10.1111/j.1365-2249.2012.04623.x · Cited by 167 · see citing works
A microfluidic-based device for study of transendothelial invasion of tumor aggregates in realtime
Zhang, Q., Liu, T., & Qin, J. (2012) · Lab on a Chip · doi:10.1039/c2lc00030j · Cited by 151 · see citing works
Hsu, Y.-L., Hou, M.-F., Kuo, P.-L., Huang, Y.-F., & Tsai, E.-M. (2012) · Oncogene · doi:10.1038/onc.2012.444 · Cited by 137 · see citing works
Tumor necrosis factor-α inhibits pre-osteoblast differentiation through its type-1 receptor
Abbas, S., Zhang, Y.-H., Clohisy, J. C. F., & Abu‐Amer, Y. (2003) · Cytokine · doi:10.1016/s1043-4666(03)00106-6 · Cited by 132 · see citing works
Vickerman, V., & Kamm, R. D. (2012) · Integrative Biology · doi:10.1039/c2ib00184e · Cited by 126 · see citing works
Self-citationColgan, O. C., Ferguson, G., Collins, N. T., Murphy, R. P., Meade‐Murphy, G., Cahill, P. A., & Cummins, P. M. (2007) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01177.2006 · Cited by 122 · see citing works
Medicinal Chemistry of Adenosine A3 Receptor Ligands
Müller, C. E. (2003) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026033392174 · Cited by 107 · see citing works
Fishman, P., Bar‐Yehuda, S., Ohana, G., Barer, F., Ochaion, A., Erlanger, A., & Madi, L. (2003) · Oncogene · doi:10.1038/sj.onc.1207355 · Cited by 100 · see citing works
Monocytes mediate metastatic breast tumor cell adhesion to endothelium under flow
Evani, S. J., Prabhu, R. G., Gnanaruban, V., Finol, E. A., & Ramasubramanian, A. K. (2013) · The FASEB Journal · doi:10.1096/fj.12-224824 · Cited by 91 · see citing works
Prevention and treatment of bone metastases
Coleman, R. E. (2011) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2011.198 · Cited by 83 · see citing works
In vitro models of the metastatic cascade: from local invasion to extravasation
Bersini, S., Jeon, J. S., Moretti, M., & Kamm, R. D. (2014) · Drug Discovery Today · doi:10.1016/j.drudis.2013.12.006 · Cited by 71 · see citing works
Self-citationSkeletal Muscle Phenotypically Converts and Selectively Inhibits Metastatic Cells in Mice
Parlakian, A., Gomaa, I. E. O., Solly, S. K., Arandel, L., Mahale, A. M., Born, G. V. R., Marazzi, G., & Sassoon, D. A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009299 · Cited by 32 · see citing works
In vitro models of the metastatic cascade: from local invasion to extravasation
Bersini, S., Moretti, M., Jeon, J. S., & Kamm, R. D. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 25 · see citing works
Self-citationHe, P., & Adamson, R. H. (1995) · Microcirculation · doi:10.3109/10739689509146772 · Cited by 17 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Tumor microenvironment complexity and therapeutic implications at a glance
Baghban, R., Roshangar, L., Jahanban-Esfahlan, R., Seidi, K., Ebrahimi-Kalan, A., Jaymand, M., Kolahian, S., Javaheri, T., & Zare, P. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-0530-4 · Cited by 1,784 · see citing works
“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] .”
Organs-on-chips: into the next decade
Low, L. A., Mummery, C., Berridge, B. R., Austin, C. P., & Tagle, D. A. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0079-3 · Cited by 1,029 · see citing works
Advances in organ-on-a-chip engineering
Zhang, B., Korolj, A., Lai, B. F. L., & Radisic, M. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0034-7 · Cited by 1,017 · see citing works
Modelling cancer in microfluidic human organs-on-chips
Sontheimer-Phelps, A., Hassell, B. A., & Ingber, D. E. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-018-0104-6 · Cited by 906 · see citing works
Organs-on-a-Chip: A Fast Track for Engineered Human Tissues in Drug Development
Ronaldson-Bouchard, K., & Vunjak-Novakovic, G. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.02.011 · Cited by 657 · see citing works
3D Cell Culture Systems: Tumor Application, Advantages, and Disadvantages
Habanjar, O., Diab‐Assaf, M., Caldefie‐Chezet, F., & Delort, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212200 · Cited by 554 · see citing works
Organ-on-a-chip devices advance to market
Zhang, B., & Radisic, M. (2017) · Lab on a Chip · doi:10.1039/c6lc01554a · Cited by 437 · see citing works
3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions
Rodrigues, J., Heinrich, M. A., Teixeira, L. M., & Prakash, J. (2021) · Trends in Cancer · doi:10.1016/j.trecan.2020.10.009 · Cited by 405 · see citing works
“In another study, a 3D microvascular network of endothelial cells was generated in bone- or muscle-mimicking microenvironments with osteo-differentiated cells or smooth muscle MSCs, respectively [78].”
BackgroundChen, M. B., Whisler, J. A., Fröse, J., Yu, C., Shin, Y., & Kamm, R. D. (2017) · Nature Protocols · doi:10.1038/nprot.2017.018 · Cited by 385 · see citing works
Self-citationTumor microenvironment: barrier or opportunity towards effective cancer therapy
Tiwari, A., Trivedi, R., & Lin, S. (2022) · Journal of Biomedical Science · doi:10.1186/s12929-022-00866-3 · Cited by 391 · see citing works
Organ-on-a chip systems: microengineering to biomimic living systems
Zheng, F., Fu, F., Cheng, Y., Wang, C., Zhao, Y., & Gu, Z. (2016) · Small · doi:10.1002/smll.201503208 · Cited by 338 · see citing works
A vascularized and perfused organ-on-a-chip platform for large-scale drug screening applications
Phan, D. T. T., Wang, X., Craver, B. M., Sobrino, A., Zhao, D., Chen, J. C., Lee, L. Y. N., George, S. C., Lee, A. P., & Hughes, C. C. W. (2017) · Lab on a Chip · doi:10.1039/c6lc01422d · Cited by 325 · see citing works
Engineering cancer microenvironments for in vitro 3-D tumor models
Asghar, W., El Assal, R., Shafiee, H., Pitteri, S., Paulmurugan, R., & Demirci, U. (2015) · Materials Today · doi:10.1016/j.mattod.2015.05.002 · Cited by 316 · see citing works
Investigation of human trophoblast invasion in vitro
Abbas, Y., Turco, M. Y., Burton, G. J., & Moffett, A. (2020) · Human Reproduction Update · doi:10.1093/humupd/dmaa017 · Cited by 321 · see citing works
Shirure, V. S., Bi, Y., Curtis, M. B., Lezia, A., Goedegebuure, M. M., Goedegebuure, S. P., Aft, R., Fields, R. C., & George, S. C. (2018) · Lab on a Chip · doi:10.1039/c8lc00596f · Cited by 316 · see citing works
Organ-on-a-chip platforms: a convergence of advanced materials, cells, and microscale technologies
Ahadian, S., Civitarese, R., Bannerman, D., Mohammadi, M. H., Lu, R., Wang, E., Davenport‐Huyer, L., Lai, B., Zhang, B., Zhao, Y., et al. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700506 · Cited by 315 · see citing works
Mouse models of metastasis: progress and prospects
Gómez-Cuadrado, L., Tracey, N., Ma, R., Qian, B., & Brunton, V. G. (2017) · Disease Models & Mechanisms · doi:10.1242/dmm.030403 · Cited by 298 · see citing works
Could 3D models of cancer enhance drug screening?
Brancato, V., Oliveira, J. M., Correlo, V. M., Reis, R. L., & Kundu, S. C. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119744 · Cited by 283 · see citing works
Three-dimensional in vitro culture models in oncology research
Jubelin, C., Muñoz-García, J., Griscom, L., Cochonneau, D., Ollivier, E., Heymann, M., Vallette, F. M., Oliver, L., & Heymann, D. (2022) · Cell & Bioscience · doi:10.1186/s13578-022-00887-3 · Cited by 280 · see citing works
3D Bioprinted in vitro metastatic models via reconstruction of tumor microenvironments
Meng, F., Meyer, C. M., Joung, D., Vallera, D. A., McAlpine, M. C., & Panoskaltsis‐Mortari, A. (2019) · Advanced Materials · doi:10.1002/adma.201806899 · Cited by 262 · see citing works
Integrating perfusable vascular networks with a three-dimensional tissue in a microfluidic device
Nashimoto, Y., Hayashi, T., Kunita, I., Nakamasu, A., Torisawa, Y.-S., Nakayama, M., Takigawa-Imamura, H., Kotera, H., Nishiyama, K., Miura, T., et al. (2017) · Integrative Biology · doi:10.1039/c7ib00024c · Cited by 266 · see citing works
Bioprinting the Cancer Microenvironment
Zhang, Y. S., Duchamp, M., Öklü, R., Ellisen, L. W., Langer, R., & Khademhosseini, A. (2016) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.6b00246 · Cited by 251 · see citing works
Organs-on-a-chip models for biological research
Vunjak-Novakovic, G., Ronaldson-Bouchard, K., & Radisic, M. (2021) · Cell · doi:10.1016/j.cell.2021.08.005 · Cited by 248 · see citing works
“Breast cancers have similarly been modeled to show propensity for metastasis to bone (Jeon et al., 2015), a result commonly seen clinically but difficult to model in animal systems.”
BackgroundMicrofluidic modelling of the tumor microenvironment for anti-cancer drug development
Shang, M., Soon, R. H., Lim, C. T., Khoo, B. L., & Han, J. (2019) · Lab on a Chip · doi:10.1039/c8lc00970h · Cited by 227 · see citing works
Human bone perivascular niche-on-a-chip for studying metastatic colonization
Marturano-Kruik, A., Nava, M. M., Yeager, K. J., Chramiec, A. G., Hao, L. Y., Robinson, S. T., Guo, E. X., Raimondi, M. T., & Vunjak‐Novakovic, G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714282115 · Cited by 228 · see citing works
Organ-on-chip models of cancer metastasis for future personalized medicine: From chip to the patient
Caballero, D., Kaushik, S., Correlo, V. M., Oliveira, J. M., Reis, R. L., & Kundu, S. C. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.10.005 · Cited by 221 · see citing works
Biomedical Applications of Microfluidic Devices: A Review
Gharib, G., Bütün, İ., Muganlı, Z., Kozalak, G., Namlı, İ., Sarraf, S. S., Ahmadi, V. E., Toyran, E., van Wijnen, A. J., & Koşar, A. (2022) · Biosensors · doi:10.3390/bios12111023 · Cited by 230 · see citing works
Tumour-on-a-chip: microfluidic models of tumour morphology, growth and microenvironment
Tsai, H.-F., Trubelja, A., Shen, A. Q., & Bao, G. (2017) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0137 · Cited by 214 · see citing works
Organ-on-a-Chip for Cancer and Immune Organs Modeling
Sun, W., Luo, Z., Lee, J., Kim, H., Lee, K., Tebon, P., Feng, Y., Dokmeci, M. R., Sengupta, S., & Khademhosseini, A. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201801363 · Cited by 221 · see citing works
Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments
Testa, U., Castelli, G., & Pelosi, E. (2020) · Medical Sciences · doi:10.3390/medsci8010018 · Cited by 226 · see citing works
Breast cancer models: Engineering the tumor microenvironment
Bahcecioglu, G., Basara, G., Ellis, B. W., Ren, X., & Zorlutuna, P. (2020) · Acta Biomaterialia · doi:10.1016/j.actbio.2020.02.006 · Cited by 213 · see citing works
Emerging organoid models: leaping forward in cancer research
Fan, H., Demirci, U., & Chen, P. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0832-4 · Cited by 199 · see citing works
Engineering Vascularized Organoid-on-a-Chip Models
Shirure, V. S., Hughes, C. C. W., & George, S. C. (2021) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-090120-094330 · Cited by 197 · see citing works
3D Printing of Organs-On-Chips
Yi, H., Lee, H., & Cho, D. (2017) · Bioengineering · doi:10.3390/bioengineering4010010 · Cited by 194 · see citing works
Trujillo-de Santiago, G., Flores-Garza, B. G., Tavares-Negrete, J. A., Lara-Mayorga, I. M., González-Gamboa, I., Zhang, Y. S., Rojas-Martínez, A., Ortiz-López, R., & Álvarez, M. M. (2019) · Materials · doi:10.3390/ma12182945 · Cited by 184 · see citing works
“[30,56,62,65-68,70-72,85,189-192] [22,23,29,32,43,50,5559,63,64,165,177,194] [21,27,28,47,64]”
Chin, L., Xia, Y., Discher, D. E., & Janmey, P. A. (2016) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2016.01.011 · Cited by 181 · see citing works
Advances in Engineering Human Tissue Models
Moysidou, C., Barberio, C., & Owens, R. M. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.620962 · Cited by 182 · see citing works
Metastatic disease in head & neck oncology
Pisani, P., Airoldi, M., Allais, A., Valletti, P. A., Battista, M., Benazzo, M., Briatore, R., Cacciola, S., Cocuzza, S. G., Colombo, A., et al. (2020) · Acta Otorhinolaryngologica Italica · doi:10.14639/0392-100x-suppl.1-40-2020 · Cited by 180 · see citing works
Ayuso, J. M., Rehman, S., Virumbrales-Muñoz, M., McMinn, P. H., Geiger, P. G., Fitzgerald, C., Heaster, T. M., Skala, M. C., & Beebe, D. J. (2021) · Science Advances · doi:10.1126/sciadv.abc2331 · Cited by 174 · see citing works
A biomimetic pancreatic cancer on-chip reveals endothelial ablation via ALK7 signaling
Nguyen, D.-H. T., Lee, E., Alimperti, S., Norgard, R. J., Wong, A., Lee, J. J.-K., Eyckmans, J., Stanger, B. Z., & Chen, C. S. (2019) · Science Advances · doi:10.1126/sciadv.aav6789 · Cited by 172 · see citing works
Integrated gut/liver microphysiological systems elucidates inflammatory inter‐tissue crosstalk
Chen, W. L. K., Edington, C., Suter, E., Yu, J., Velazquez, J. J., Velazquez, J. G., Shockley, M., Large, E. M., Venkataramanan, R., Hughes, D. J., et al. (2017) · Biotechnology and Bioengineering · doi:10.1002/bit.26370 · Cited by 171 · see citing works
Engineering 3D Hydrogels for Personalized In Vitro Human Tissue Models
Liaw, C., Ji, S., & Güvendiren, M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701165 · Cited by 170 · see citing works
Microfluidics Enabled Bottom-Up Engineering of 3D Vascularized Tumor for Drug Discovery
Agarwal, P., Wang, H., Sun, M., Xu, J., Zhao, S., Liu, Z., Gooch, K. J., Zhao, Y., Lu, X., & He, X. (2017) · ACS Nano · doi:10.1021/acsnano.7b00824 · Cited by 168 · see citing works
Cochrane, A., Albers, H. J., Passier, R. C., Mummery, C. L., van den Berg, A., Orlova, V. V., & van der Meer, A. D. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.06.007 · Cited by 165 · see citing works
IFlowPlate—A Customized 384‐Well Plate for the Culture of Perfusable Vascularized Colon Organoids
Rajasekar, S., Lin, D. S. Y., Abdul, L., Liu, A. W. K., Sotra, A., Zhang, F., & Zhang, B. (2020) · Advanced Materials · doi:10.1002/adma.202002974 · Cited by 167 · see citing works
Cardiovascular organ-on-a-chip platforms for drug discovery and development
Ribas, J., Sadeghi, H., Manbachi, A., Leijten, J., Brinegar, K., Zhang, Y. S., Ferreira, L., & Khademhosseini, A. (2016) · Applied In Vitro Toxicology · doi:10.1089/aivt.2016.0002 · Cited by 161 · see citing works
Hydrogel Network Dynamics Regulate Vascular Morphogenesis
Zhao, W., Schnellmann, R., Pruitt, H. C., & Gerecht, S. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.08.005 · Cited by 163 · see citing works
The Mechanics of Single Cell and Collective Migration of Tumor Cells
Lintz, M., Muñoz, A., & Reinhart‐King, C. A. (2016) · Journal of Biomechanical Engineering · doi:10.1115/1.4035121 · Cited by 154 · see citing works
Vasculature-On-A-Chip for In Vitro Disease Models
Kim, S., Kim, W., Lim, S., & Jeon, J. S. (2017) · Bioengineering · doi:10.3390/bioengineering4010008 · Cited by 158 · see citing works
Self-citationA review of microfluidic approaches for investigating cancer extravasation during metastasis
Ma, Y.-H. V., Middleton, K., You, L., & Sun, Y. (2018) · Microsystems & Nanoengineering · doi:10.1038/micronano.2017.104 · Cited by 154 · see citing works
3D Bioprinting of Breast Cancer Models for Drug Resistance Study
Wang, Y., Shi, W., Kuss, M., Mirza, S., Qi, D., Krasnoslobodtsev, A., Zeng, J., Band, H., Band, V., & Duan, B. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b01277 · Cited by 157 · see citing works
In Vitro Microfluidic Models for Neurodegenerative Disorders
Osaki, T., Shin, Y., Sivathanu, V., Campisi, M., & Kamm, R. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700489 · Cited by 127 · see citing works
Self-citationCD47 Promotes Tumor Invasion and Metastasis in Non-small Cell Lung Cancer
Zhao, H., Wang, J., Kong, X., Li, E., Liu, Y., Du, X., Kang, Z., Tang, Y. C., Kuang, Y., Yang, Z., et al. (2016) · Scientific Reports · doi:10.1038/srep29719 · Cited by 152 · see citing works
Mechanical properties of human tumour tissues and their implications for cancer development
Massey, A. E., Stewart, J. M., Smith, C., Parvini, C. H., McCormick, M., Do, K., & Cartagena‐Rivera, A. X. (2024) · Nature Reviews Physics · doi:10.1038/s42254-024-00707-2 · Cited by 161 · see citing works
Microfluidic Organ/Body-on-a-Chip Devices at the Convergence of Biology and Microengineering
Perestrelo, A. R., Águas, A. C., Rainer, A., & Forte, G. (2015) · Sensors · doi:10.3390/s151229848 · Cited by 151 · see citing works
Biochemical analysis on microfluidic chips
Wu, J., He, Z., Chen, Q., & Lin, J. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2016.03.013 · Cited by 151 · see citing works
Truong, D., Fiorelli, R., Barrientos, E. S., Melendez, E. L., Sanai, N., Mehta, S., & Nikkhah, M. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2018.07.048 · Cited by 150 · see citing works
Microfluidic Tumor–Vascular Model to Study Breast Cancer Cell Invasion and Intravasation
Nagaraju, S., Truong, D., Mouneimne, G., & Nikkhah, M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701257 · Cited by 147 · see citing works
Review: <i>in vitro</i> microvessel models
Bogorad, M. I., DeStefano, J., Karlsson, J., Wong, A. D., Gerecht, S., & Searson, P. C. (2015) · Lab on a Chip · doi:10.1039/c5lc00832h · Cited by 145 · see citing works
Bone remodelling in vitro: Where are we headed?
Kohli, N., Ho, S., Brown, S. J., Sawadkar, P., Sharma, V., Snow, M., & García‐Gareta, E. (2018) · Bone · doi:10.1016/j.bone.2018.01.015 · Cited by 144 · see citing works
Tumor organoid models in precision medicine and investigating cancer-stromal interactions
Xu, R., Zhou, X., Wang, S., & Trinkle, C. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107668 · Cited by 134 · see citing works
Evaluating natural killer cell cytotoxicity against solid tumors using a microfluidic model
Ayuso, J. M., Truttschel, R., Gong, M. M., Humayun, M., Virumbrales-Munoz, M., Vitek, R., Felder, M., Gillies, S. D., Sondel, P., Wisinski, K. B., et al. (2019) · OncoImmunology · doi:10.1080/2162402x.2018.1553477 · Cited by 142 · see citing works
Vascularized microfluidic organ-chips for drug screening, disease models and tissue engineering
Osaki, T., Sivathanu, V., & Kamm, R. D. (2018) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.03.011 · Cited by 141 · see citing works
Self-citationBone-on-a-chip: Microfluidic technologies and microphysiologic models of bone tissue
Mansoorifar, A., Gordon, R., Bergan, R. C., & Bertassoni, L. E. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202006796 · Cited by 142 · see citing works
Fabrication of 3D Biomimetic Microfluidic Networks in Hydrogels
Heintz, K. A., Bregenzer, M. E., Mantle, J. L., Lee, K. H., West, J. L., & Slater, J. H. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600351 · Cited by 135 · see citing works
Designing Microgels for Cell Culture and Controlled Assembly of Tissue Microenvironments
Caldwell, A. S., Aguado, B. A., & Anseth, K. S. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201907670 · Cited by 136 · see citing works
Álvarez, M. M., Aizenberg, J., Analoui, M., Andrews, A. M., Bisker, G., Boyden, E. S., Kamm, R. D., Karp, J. M., Mooney, D. J., Öklü, R., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b01493 · Cited by 137 · see citing works
Self-citationTherapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform
Lanz, H. L., Saleh, A., Kramer, B., Cairns, J., Ng, C. P., Yu, J., Trietsch, S. J., Hankemeier, T., Joore, J., Vulto, P., et al. (2017) · BMC Cancer · doi:10.1186/s12885-017-3709-3 · Cited by 135 · see citing works
Breast Cancer Cell Invasion into a Three Dimensional Tumor-Stroma Microenvironment
Truong, D., Puleo, J., Llave, A., Mouneimne, G., Kamm, R. D., & Nikkhah, M. (2016) · Scientific Reports · doi:10.1038/srep34094 · Cited by 135 · see citing works
Self-citationMimicking tumor microenvironment by 3D bioprinting: 3D cancer modeling
Shukla, P., Yeleswarapu, S., Heinrich, M. A., Prakash, J., & Pati, F. (2022) · Biofabrication · doi:10.1088/1758-5090/ac6d11 · Cited by 138 · see citing works
3D-printed fluidic networks as vasculature for engineered tissue
Kinstlinger, I. S., & Miller, J. S. (2016) · Lab on a Chip · doi:10.1039/c6lc00193a · Cited by 132 · see citing works
Engineered models to parse apart the metastatic cascade
Hapach, L. A., Mosier, J. A., Wang, W., & Reinhart‐King, C. A. (2019) · npj Precision Oncology · doi:10.1038/s41698-019-0092-3 · Cited by 133 · see citing works
Lin, Z., Luo, G., Du, W., Kong, T., Liu, C., & Liu, Z. (2019) · Small · doi:10.1002/smll.201903899 · Cited by 132 · see citing works
Emerging trends in organ-on-a-chip systems for drug screening
Wang, Y., Gao, Y., Pan, Y., Zhou, D., Liu, Y., Yin, Y. B., Yang, J., Wang, Y., & Song, Y. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.02.006 · Cited by 130 · see citing works
Endothelial Regulation of Drug Transport in a 3D Vascularized Tumor Model
Haase, K., Offeddu, G. S., Gillrie, M. R., & Kamm, R. D. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202002444 · Cited by 126 · see citing works
Self-citationMetastasis of circulating tumor cells: Favorable soil or suitable biomechanics, or both?
Azevedo, A. S., Follain, G., Patthabhiraman, S., Harlepp, S., & Goetz, J. G. (2015) · Cell Adhesion & Migration · doi:10.1080/19336918.2015.1059563 · Cited by 126 · see citing works
Microengineered cancer-on-a-chip platforms to study the metastatic microenvironment
Lara, R. P., & Annabi, N. (2016) · Lab on a Chip · doi:10.1039/c6lc00718j · Cited by 128 · see citing works
Tumor-on-chip modeling of organ-specific cancer and metastasis
Piccolo, N. D., Shirure, V. S., Bi, Y., Goedegebuure, S. P., Gholami, S., Hughes, C. C. W., Fields, R. C., & George, S. C. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.05.008 · Cited by 129 · see citing works
Jackson, E., & Lu, H. (2016) · Integrative Biology · doi:10.1039/c6ib00039h · Cited by 125 · see citing works
Engineering the pre-metastatic niche
Aguado, B. A., Bushnell, G. G., Rao, S. S., Jeruss, J. S., & Shea, L. D. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0077 · Cited by 125 · see citing works
Metastasis in context: modeling the tumor microenvironment with cancer-on-a-chip approaches
Sleeboom, J. J. F., Eslami Amirabadi, H., Nair, P., Sahlgren, C. M., & den Toonder, J. M. J. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.033100 · Cited by 122 · see citing works
Barata, D., van Blitterswijk, C. V., & Habibović, P. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.09.009 · Cited by 107 · see citing works
Hydrogel microfabrication technology toward three dimensional tissue engineering
Yanagawa, F., Sugiura, S., & Kanamori, T. (2016) · Regenerative Therapy · doi:10.1016/j.reth.2016.02.007 · Cited by 124 · see citing works
Tumor-on-a-chip for integrating a 3D tumor microenvironment: chemical and mechanical factors
Wan, L., Neumann, C. A., & LeDuc, P. R. (2020) · Lab on a Chip · doi:10.1039/c9lc00550a · Cited by 120 · see citing works
Three-dimensional microengineered vascularised endometrium-on-a-chip
Ahn, J., Yoon, M.-J., Hong, S.-H., Cha, H., Lee, D., Koo, H. S., Ko, J., Lee, J., Oh, S., Jeon, N. L., et al. (2021) · Human Reproduction · doi:10.1093/humrep/deab186 · Cited by 118 · see citing works
Microfluidic Platforms toward Rational Material Fabrication for Biomedical Applications
Zhao, Q., Cui, H., Wang, Y., & Du, X. (2019) · Small · doi:10.1002/smll.201903798 · Cited by 117 · see citing works
Cancer Modeling‐on‐a‐Chip with Future Artificial Intelligence Integration
Fetah, K., DiPardo, B. J., Kongadzem, E.-M. L., Tomlinson, J. S., Elzagheid, A. I., Elmusrati, M. S., Khademhosseini, A., & Ashammakhi, N. A. (2019) · Small · doi:10.1002/smll.201901985 · Cited by 115 · see citing works
Xiao, Y., Kim, D., Dura, B., Zhang, K., Yan, R., Li, H., Han, E., Ip, J., Zou, P., Liu, J., et al. (2019) · Advanced Science · doi:10.1002/advs.201801531 · Cited by 115 · see citing works
Shiwarski, D. J., Hudson, A. R., Tashman, J. W., Bakırcı, E., Moss, S., Coffin, B. D., & Feinberg, A. W. (2025) · Science Advances · doi:10.1126/sciadv.adu5905 · Cited by 120 · see citing works
Engineering Breast Cancer Microenvironments and 3D Bioprinting
Belgodere, J. A., King, C. T., Bursavich, J. B., Burow, M. E., Martin, E. C., & Jung, J. P. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00066 · Cited by 111 · see citing works
Li, W., Zhou, Z., Zhou, X., Khoo, B. L., Gunawan, R., Chin, Y. R., Zhang, L., Yi, C., Guan, X., & Yang, M. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202202609 · Cited by 109 · see citing works
3D models in the new era of immune oncology: focus on T cells, CAF and ECM
Modugno, F. D., Colosi, C., Trono, P., Antonacci, G., Ruocco, G., & Nisticò, P. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1086-2 · Cited by 111 · see citing works
A 3D human renal cell carcinoma-on-a-chip for the study of tumor angiogenesis
Miller, C. P., Tsuchida, C., Zheng, Y., Himmelfarb, J., & Akilesh, S. (2018) · Neoplasia · doi:10.1016/j.neo.2018.02.011 · Cited by 105 · see citing works
Wang, X., Sun, Q., & Pei, J. (2018) · Micromachines · doi:10.3390/mi9100493 · Cited by 106 · see citing works
Integrating Organs-on-Chips: Multiplexing, Scaling, Vascularization, and Innervation
Park, D., Lee, J., Chung, J. J., Jung, Y., & Kim, S. H. (2020) · Trends in Biotechnology · doi:10.1016/j.tibtech.2019.06.006 · Cited by 105 · see citing works
Lee, J. B., Wang, X., Faley, S. L., Baer, B. B., Balikov, D. A., Sung, H., & Bellan, L. M. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201500792 · Cited by 105 · see citing works
Organ-on-a-chip engineering: Toward bridging the gap between lab and industry
Ramadan, Q., & Zourob, M. M. (2020) · Biomicrofluidics · doi:10.1063/5.0011583 · Cited by 103 · see citing works
Ho, Y. T., Kamm, R. D., & Kah, J. C. Y. (2018) · Nanoscale · doi:10.1039/c8nr02393j · Cited by 102 · see citing works
Self-citationLai, B. F. L., Lu, R. X. Z., Huyer, L. D., Kakinoki, S., Yazbeck, J., Wang, E. Y., Wu, Q., Zhang, B., & Radisic, M. (2021) · Nature Protocols · doi:10.1038/s41596-020-00490-1 · Cited by 101 · see citing works
A Multi-Niche Microvascularized Human Bone-Marrow-on-a-Chip
Nelson, M. R., Ghoshal, D., Mejías, J. C., Rubio, D. A. F., Keith, E., & Roy, K. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2021.120683 · Cited by 102 · see citing works
- 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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