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Tumour-on-a-chip: microfluidic models of tumour morphology, growth and microenvironment
Open accessAbstract
Cancer remains one of the leading causes of death, albeit enormous efforts to cure the disease. To overcome the major challenges in cancer therapy, we need to have a better understanding of the tumour microenvironment (TME), as well as a more effective means to screen anti-cancer drug leads; both can be achieved using advanced technologies, including the emerging tumour-on-a-chip technology. Here, we review the recent development of the tumour-on-a-chip technology, which integrates microfluidics, microfabrication, tissue engineering and biomaterials research, and offers new opportunities for building and applying functional three-dimensional in vitro human tumour models for oncology research, immunotherapy studies and drug screening. In particular, tumour-on-a-chip microdevices allow well-controlled microscopic studies of the interaction among tumour cells, immune cells and cells in the TME, of which simple tissue cultures and animal models are not amenable to do. The challenges in developing the next-generation tumour-on-a-chip technology are also discussed.
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“These tumor-on-chip systems are expected to increase the effective identification of new and better cancer therapies while minimizing non-specific toxicity [13,14,15,16,17].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [14]
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“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [14]
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“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [14]
In the citing paper
“Ideally, tumor-on-a-chip platforms have the ability to recreate many cardinal TME features and show great promise as a novel technology for studying the mechanisms of tumor evolution, screening anticancer drugs and cancer therapies, and enabling precision medicine14,112,117–122.”
From Tumor-on-a-chip: from bioinspired design to biomedical application (2021) · cites this paper as [14]
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Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
3D bioprinting of tissues and organs
Murphy, S. V., & Atala, A. (2014) · Nature Biotechnology · doi:10.1038/nbt.2958 · Cited by 7,034
Hydrogels for tissue engineering: scaffold design variables and applications
Drury, J. L., & Mooney, D. J. (2003) · Biomaterials · doi:10.1016/s0142-9612(03)00340-5 · Cited by 5,136
A Perspective on Cancer Cell Metastasis
Chaffer, C. L., & Weinberg, R. A. (2011) · Science · doi:10.1126/science.1203543 · Cited by 4,905
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
Porous scaffold design for tissue engineering
Hollister, S. J. (2005) · Nature Materials · doi:10.1038/nmat1421 · Cited by 3,979
Tumour-cell invasion and migration: diversity and escape mechanisms
Friedl, P., & Wolf, K. (2003) · Nature reviews. Cancer · doi:10.1038/nrc1075 · Cited by 3,350
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305
Raise standards for preclinical cancer research
Begley, C. G., & Ellis, L. M. (2012) · Nature · doi:10.1038/483531a · Cited by 2,979
Cited by
Sorted by citations
Targeting Tumor Microenvironment for Cancer Therapy
Roma-Rodrigues, C., Mendes, R., Baptista, P. V., & Fernandes, A. R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20040840 · Cited by 1,187
Hydrogel microenvironments for cancer spheroid growth and drug screening
Li, Y., & Kumacheva, E. (2018) · Science Advances · doi:10.1126/sciadv.aas8998 · Cited by 356
Tumor-on-a-chip: from bioinspired design to biomedical application
Liu, X., Fang, J., Huang, S., Wu, X., Xie, X., Wang, J., Liu, F., Zhang, M., Peng, Z., & Hu, N. (2021) · Microsystems & Nanoengineering · doi:10.1038/s41378-021-00277-8 · Cited by 246
Saxena, K., & Jolly, M. K. (2019) · Biomolecules · doi:10.3390/biom9080339 · Cited by 223
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
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
Matrix Metalloproteinases as Potential Biomarkers and Therapeutic Targets in Liver Diseases
Geervliet, E., & Bansal, R. (2020) · Cells · doi:10.3390/cells9051212 · Cited by 179
Mehta, V., & Rath, S. N. (2021) · Bio-Design and Manufacturing · doi:10.1007/s42242-020-00112-5 · Cited by 173
Lu, S., Cuzzucoli, F., Jiang, J., Liang, L.-G., Wang, Y., Kong, M., Zhao, X., Cui, W., Li, J., & Wang, S. (2018) · Lab on a Chip · doi:10.1039/c8lc00852c · Cited by 144
In vitro and ex vivo systems at the forefront of infection modeling and drug discovery
Shi, D., Mi, G., Wang, M., & Webster, T. J. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.10.030 · Cited by 145
Mimicking 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 140
Lin, Z., Luo, G., Du, W., Kong, T., Liu, C., & Liu, Z. (2019) · Small · doi:10.1002/smll.201903899 · Cited by 134
Organ‐on‐a‐Chip: A Preclinical Microfluidic Platform for the Progress of Nanomedicine
Rodrigues, R. O., Sousa, P. C., Gaspar, J., Bañobre‐López, M., Lima, R. A., & Minas, G. M. H. (2020) · Small · doi:10.1002/smll.202003517 · Cited by 134
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
Applications of tumor chip technology
Hachey, S. J., & Hughes, C. C. W. (2018) · Lab on a Chip · doi:10.1039/c8lc00330k · Cited by 128
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 134
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
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 116
3D Bioprinting of Tumor Models for Cancer Research
Kang, Y., Datta, P., Shanmughapriya, S., & Ozbolat, I. T. (2020) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c00791 · Cited by 112
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 113
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 115
Shim, S., Belanger, M. C., Harris, A. R., Munson, J. M., & Pompano, R. R. (2019) · Lab on a Chip · doi:10.1039/c8lc00957k · Cited by 108
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
The tumour microenvironment as an integrated framework to understand cancer biology
Burgos‐Panadero, R., Lucantoni, F., Gamero‐Sandemetrio, E., de la Cruz‐Merino, L., Álvaro, T., & Noguera, R. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.07.010 · Cited by 106
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 107
Tumor-on-a-chip: a microfluidic model to study cell response to environmental gradients
Ayuso, J. M., Virumbrales-Muñoz, M., McMinn, P. H., Rehman, S., Gomez, I., Karim, M. R., Trusttchel, R., Wisinski, K. B., Beebe, D. J., & Skala, M. C. (2019) · Lab on a Chip · doi:10.1039/c9lc00270g · Cited by 101
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
Capillary‐Based Microfluidics—Coflow, Flow‐Focusing, Electro‐Coflow, Drops, Jets, and Instabilities
Guerrero, J., Chang, Y., Fragkopoulos, A. A., & Fernández‐Nieves, A. (2019) · Small · doi:10.1002/smll.201904344 · Cited by 97
3D cancer models: One step closer to in vitro human studies
Manduca, N., Maccafeo, E., Maria, R. D., Sistigu, A., & Musella, M. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1175503 · Cited by 102
Personalized medicine in breast cancer: pharmacogenomics approaches
Jeibouei, S., Akbari, M. E., Kalbasi, A., Aref, A. R., Ajoudanian, M., Rezvani, A., & Zali, H. (2019) · Pharmacogenomics and Personalized Medicine · doi:10.2147/pgpm.s167886 · Cited by 108
Privat‐Maldonado, A., Bengtson, C., Razzokov, J., Smits, E., & Bogaerts, A. (2019) · Cancers · doi:10.3390/cancers11121920 · Cited by 90
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 88
Immunocompetent cancer-on-chip models to assess immuno-oncology therapy
Maulana, T. I., Kromidas, E., Wallstabe, L., Cipriano, M., Alb, M., Zaupa, C., Hudecek, M., Fogal, B., & Loskill, P. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.03.015 · Cited by 85
Integrated cancer tissue engineering models for precision medicine
Bregenzer, M. E., Horst, E. N., Mehta, P., Novak, C. M., Raghavan, S. A., Snyder, C. S., & Mehta, G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216564 · 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
Recent advances for cancer detection and treatment by microfluidic technology, review and update
Bargahi, N., Ghasemali, S., Jahandar-Lashaki, S., & Nazari, A. (2022) · Biological Procedures Online · doi:10.1186/s12575-022-00166-y · Cited by 83
Drug Screening of Human GBM Spheroids in Brain Cancer Chip
Akay, M., Hite, J., Avci, N. G., Fan, Y., Akay, Y. M., Lu, G., & Zhu, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-33641-2 · Cited by 77
5-Fluorouracil loaded magnetic cellulose bionanocomposites for potential colorectal cancer treatment
Yusefi, M., Soon, M. L.-K., Shameli, K., Teow, S., Ali, R. R., Siew, K.-K., Chan, H.-Y., Wong, M. M.-T., Lim, W.-L., & Kuča, K. (2021) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2021.118523 · Cited by 77
Nanotheranostics Targeting the Tumor Microenvironment
Roma‐Rodrigues, C., Pombo, I., Raposo, L. R., Pedrosa, P., Fernandes, A. R., & Baptista, P. V. (2019) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00197 · Cited by 77
Addressing Patient Specificity in the Engineering of Tumor Models
Bray, L. J., Hutmacher, D. W., & Bock, N. (2019) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00217 · Cited by 79
Immune Organs and Immune Cells on a Chip: An Overview of Biomedical Applications
Morsink, M., Willemen, N., Leijten, J., Bansal, R., & Shin, S. (2020) · Micromachines · doi:10.3390/mi11090849 · Cited by 73
Organ on Chip Technology to Model Cancer Growth and Metastasis
Imparato, G., Urciuolo, F., & Netti, P. A. (2022) · Bioengineering · doi:10.3390/bioengineering9010028 · Cited by 77
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 76
Microfluidics meets 3D cancer cell migration
Mehta, P., Rahman, Z., ten Dijke, P., & Boukany, P. E. (2022) · Trends in cancer · doi:10.1016/j.trecan.2022.03.006 · Cited by 78
Organ-on-a-Chip Platforms for Drug Screening and Delivery in Tumor Cells: A Systematic Review
Gonçalves, I. M., Carvalho, V. M., Rodrigues, R. O., Pinho, D., Teixeira, S., Moita, A., Hori, T., Kaji, H., Lima, R. A., & Minas, G. M. H. (2022) · Cancers · doi:10.3390/cancers14040935 · Cited by 74
Cheng, F., Cao, X., Li, H., Liu, T., Xie, X., Huang, D., Maharjan, S., Bei, H., Gómez, A., Li, ., et al. (2019) · Nano Letters · doi:10.1021/acs.nanolett.9b00583 · Cited by 71
Fibroblast-associated tumour microenvironment induces vascular structure-networked tumouroid
Lee, S. W., Kwak, H. S., Kang, M.-H., Park, Y.-Y., & Jeong, G. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-20886-0 · Cited by 68
Kumar, V., & Varghese, S. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201801198 · Cited by 73
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Shanti, A., Teo, J. C. M., & Stefanini, C. (2018) · Pharmaceutics · doi:10.3390/pharmaceutics10040278 · Cited by 71
Kim, D., Hwang, K. S., Seo, E. U., Seo, S., Lee, B. C., Choi, N., Choi, J. H., & Kim, H. N. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202102581 · Cited by 65
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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
Vascularized microfluidic platforms to mimic the tumor microenvironment
Michna, R. J., Gadde, M., Özkan, A., DeWitt, M. R., & Rylander, M. N. (2018) · Biotechnology and Bioengineering · doi:10.1002/bit.26778 · Cited by 62
Mitxelena‐Iribarren, O., Campisi, J., de Apellániz, I. M., Lizarbe-Sancha, S., Arana, S., Zhukova, V., Mujika, M., & Zhukov, A. (2019) · Materials Science and Engineering C · doi:10.1016/j.msec.2019.110261 · Cited by 57
Crosstalk between CAFs and tumour cells in head and neck cancer
Li, X., González-Maroto, C., & Tavassoli, M. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-02053-9 · Cited by 61
Digital microfluidics for cell manipulation
Pang, L., Ding, J., Liu, X.-X., & Fan, S. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.06.008 · Cited by 56
Driver, R., & Mishra, S. (2022) · BioChip Journal · doi:10.1007/s13206-022-00087-8 · Cited by 61
Koens, R., Tabata, Y., Serrano, J. C., Aratake, S., Yoshino, D., Kamm, R. D., & Funamoto, K. (2020) · APL Bioengineering · doi:10.1063/1.5127069 · Cited by 53
Tumor-microenvironment-on-a-chip: the construction and application
Xu, H., Wen, J., Yang, J., Zhou, S., Li, Y., Xu, K., Li, W., & Li, S. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01884-4 · Cited by 62
In vitro lung cancer multicellular tumor spheroid formation using a microfluidic device
Lee, S. W., Hong, S., Jung, B.-Y., Jeong, S. Y., Byeon, J. H., Jeong, G. S., Choi, J., & Hwang, C. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.27114 · Cited by 53
Mintz, R. L., Lao, Y., Chi, C., He, S., Li, M., Quek, C. H., Shao, D., Chen, B., Han, J., Wang, S., et al. (2019) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10152 · Cited by 50
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Kenney, R. M., Boyce, M. W., Whitman, N. A., Kromhout, B. P., & Lockett, M. R. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b05015 · Cited by 49
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Paterson, K., Zanivan, S. R., Glasspool, R. M., Coffelt, S. B., & Zagnoni, M. (2021) · Lab on a Chip · doi:10.1039/d0lc01305f · Cited by 51
Koedoot, E., Wolters, L., Smid, M., Stoilov, P., Burger, G. A., Herpers, B., Yan, K., Price, L., Martens, J. W. M., Dévédec, S. E. L., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-86664-7 · Cited by 50
Droplet Microfluidics for Tumor Drug‐Related Studies and Programmable Artificial Cells
Dimitriou, P., Li, J., Tornillo, G., McCloy, T., & Barrow, D. A. (2021) · Global Challenges · doi:10.1002/gch2.202000123 · Cited by 43
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Senrung, A., Lalwani, S., Janjua, D., Tripathi, T., Kaur, J., Ghuratia, N., Aggarwal, N., Chhokar, A., Yadav, J., Chaudhary, A., et al. (2023) · In vitro models · doi:10.1007/s44164-023-00059-8 · Cited by 46
Alavijeh, A. A., Barati, M. A., Barati, M., & Dehkordi, H. A. (2019) · Advanced Pharmaceutical Bulletin · doi:10.15171/apb.2019.043 · Cited by 42
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Menon, N. V., Lim, S. B., & Lim, C. T. (2019) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2019.09.008 · Cited by 41
Ravi, K., Manoharan, T. J. M., Wang, K.-C., Pockaj, B. A., & Nikkhah, M. (2023) · Biomaterials · doi:10.1016/j.biomaterials.2023.122428 · Cited by 45
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Sato, K., & Sato, K. (2018) · Analytical Sciences · doi:10.2116/analsci.17r006 · Cited by 40
Carvalho, V. M., Bañobre‐López, M., Minas, G. M. H., Teixeira, S., Lima, R. A., & Rodrigues, R. O. (2022) · Bioprinting · doi:10.1016/j.bprint.2022.e00224 · Cited by 40
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Razavi, M. S., Abdollahi, A., Malek-Khatabi, A., Ejarestaghi, N. M., Atashi, A., Yousefi, N., Ebrahimnejad, P., Elsawy, M. A., & Dinarvand, R. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.104587 · Cited by 37
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Molina, E. R., Chim, L. K., Barrios, S., Ludwig, J. A., & Mikos, A. G. (2020) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2019.0302 · Cited by 38
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Moon, H., Ospina-Muñoz, N., Noe-Kim, V., Yang, Y., Elzey, B. D., Konieczny, S. F., & Han, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234012 · Cited by 36
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Gadde, M., Phillips, C. M., Ghousifam, N., Sorace, A. G., Wong, E., Krishnamurthy, S., Syed, A., Rahal, O. M., Yankeelov, T. E., Woodward, W. A., et al. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27487 · Cited by 34
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Too, N. S. H., Ho, N. C. W., Adine, C., Iyer, N. G., & Fong, E. L. S. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.05.001 · Cited by 32
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Greenlee, J. D., & King, M. R. (2020) · Biomicrofluidics · doi:10.1063/1.5133970 · Cited by 31
Tsai, H., IJspeert, C., & Shen, A. Q. (2020) · APL Bioengineering · doi:10.1063/5.0004893 · Cited by 28
Self-citationWang, R., Zhang, C., Li, D., & Yao, Y. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1057913 · Cited by 30
Ong, L. J. Y., Chia, S., Wong, S. Q. R., Zhang, X., Chua, H., Loo, J. M., Chua, W. Y., Chua, C., Tan, E., Hentze, H., et al. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.952726 · Cited by 28
de Lázaro, I., Sharp, P., Gürcan, C., Ceylan, A., Stylianou, M., Kisby, T., Chen, Y., Vranic, S., Barr, K., Taheri, H., et al. (2020) · Advanced Therapeutics · doi:10.1002/adtp.202000109 · Cited by 29
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DePalma, T. J., Sivakumar, H., & Skardal, A. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114067 · Cited by 30
Park, S. M., Eom, S., Hong, H., Yoon, J., Lee, S. J., Kim, B. C., Kim, H. W., & Kim, D. S. (2018) · Microelectronic Engineering · doi:10.1016/j.mee.2018.10.010 · Cited by 29
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Polidoro, M. A., Ferrari, E., Soldani, C., Franceschini, B., Saladino, G., Rosina, A., Mainardi, A., D’Autilia, F., Pugliese, N., Costa, G., et al. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100910 · Cited by 27
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He, Z., Ranganathan, N., & Li, P. (2018) · Nanotechnology · doi:10.1088/1361-6528/aae18a · Cited by 27
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Fang, L., Liu, Y., Qiu, J., & Wan, W. (2022) · International Journal of Bioprinting · doi:10.18063/ijb.v8i4.603 · Cited by 27
Tumor-on-a-chip platforms for assessing nanoparticle-based cancer therapy
Wang, Y., Cuzzucoli, F., Escobar, A., Lu, S., Liang, L., & Wang, S. (2018) · Nanotechnology · doi:10.1088/1361-6528/aac7a4 · Cited by 26
Skubal, M., Larney, B. M., Phung, N. B., Desmaras, J. C., Dozic, A. V., Volpe, A., Ogirala, A., Machado, C. M. L., Djibankov, J., Ponomarev, V., et al. (2024) · Theranostics · doi:10.7150/thno.95334 · Cited by 24
Miedel, M. T., Gavlock, D. C., Jia, S., Gough, A., Taylor, D. L., & Stern, A. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-44756-5 · Cited by 24
Piantino, M., Figarol, A., & Matsusaki, M. (2021) · Frontiers in Toxicology · doi:10.3389/ftox.2021.656254 · Cited by 25
Rousset, N., López-Sandoval, R., Modena, M. M., Hierlemann, A. R., & Misun, P. M. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-021-00348-w · Cited by 24
Keeping It Organized: Multicompartment Constructs to Mimic Tissue Heterogeneity
Sanchez-Rubio, A., Jayawarna, V., Maxwell, E., Dalby, M. J., & Salmerón‐Sánchez, M. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202202110 · Cited by 22
Pillai, S., Kwan, J. C., Yaziji, F., Yu, H., & Tran, S. D. (2023) · Cancers · doi:10.3390/cancers15153894 · Cited by 23
Metadata
- Authors
- Tsai, H.-F., Trubelja, A., Shen, A. Q., & Bao, G.
- Affiliations
- Okinawa Institute of Science and Technology Graduate University (JP)
- Rice University (US)
- Corresponding author
- Shen, Amy Q.
- Bao, Gang
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2017-06
- Volume
- 14
- Issue
- 131
- Pages
- 20170137
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- PMC
- PMC5493797
- OpenAlex
- W2695955856
- Cited by
- 214
- References
- 209
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 26 · 2023: 26 · 2022: 25 · 2021: 18 · 2020: 28 · 2019: 44 · 2018: 20 · 2017: 1
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of The Royal Society Interface (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- Okinawa Institute of Science and Technology Graduate University (Okinawa Institute of Science and Technology Graduate University) (submittedVersion, cc-by-nc-nd)
- Funders
- Cancer Prevention and Research Institute of Texas (RR140081)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- tumor microenvironment, anticancer drug screening, tumor growth, tumor morphology, immunotherapy, tissue engineering, biomaterials, microfabrication
- MeSH terms
- Humans, Models, Biological, Neoplasms, Tissue Engineering, Microfluidics, Microfluidic Analytical Techniques, Microtechnology
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