The DOI matches its Crossref record; 209 of the 209 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 215
Jing, B., Luo, Y., Lin, B., Li, J., Wang, Z. A., & Du, Y. (2019) · RSC Advances · doi:10.1039/c9ra02069a · Cited by 22
Millet, M., Messaoud, R. B., Luthold, C., & Bordeleau, F. (2019) · Micromachines · doi:10.3390/mi10060418 · Cited by 24
Flores-Torres, S., Jiang, T., Kort-Mascort, J., Yang, Y. K., Peza-Chavez, O., Pal, S., Mainolfi, A., Pardo, L. A., Ferri, L. E., Bertos, N., et al. (2023) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.2c00998 · Cited by 25
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
Microphysiological systems to study colorectal cancer: state-of-the-art
Ramos, P., Carvalho, M. R., Chen, W., Yan, L., Zhang, C., He, Y., Reis, R. L., & Oliveira, J. M. (2023) · Biofabrication · doi:10.1088/1758-5090/acc279 · Cited by 22
Modelling and breaking down the biophysical barriers to drug delivery in pancreatic cancer
Kpeglo, D., Haddrick, M., Knowles, M. A., Evans, S. D., & Peyman, S. A. (2024) · Lab on a Chip · doi:10.1039/d3lc00660c · Cited by 21
Microdroplets-on-chip: A review
Wang, A., Abdulla, A., & Ding, X. (2019) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1177/0954411919850912 · Cited by 19
Gaebler, D., Hachey, S. J., & Hughes, C. C. W. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1462293 · Cited by 20
Tiwary, P., Oswal, K., Varghese, R., Peri, R. V., & Gupta, P. K. (2025) · RSC Pharmaceutics · doi:10.1039/d5pm00109a · Cited by 19
Mendoza-Martinez, A. K., Loessner, D., Mata, Á., & Azevedo, H. S. (2021) · Cancers · doi:10.3390/cancers13225745 · Cited by 19
The progressive trend of modeling and drug screening systems of breast cancer bone metastasis
Azar, H. K., Gharibshahian, M., Rostami, M., Mansouri, V., Sabouri, L., Beheshtizadeh, N., & Rezaei, N. (2024) · Journal of Biological Engineering · doi:10.1186/s13036-024-00408-5 · Cited by 20
Deconstructing, Replicating, and Engineering Tissue Microenvironment for Stem Cell Differentiation
Tang, S. W., Tong, W. Y., Pang, S. W., Voelcker, N. H., & Lam, Y. W. (2020) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2020.0044 · Cited by 18
Zitzmann, F. D., Jahnke, H., Nitschke, F., Beck‐Sickinger, A. G., Abel, B., Belder, D., & Robitzki, A. A. (2017) · Lab on a Chip · doi:10.1039/c7lc00754j · Cited by 19
Models for barrier understanding in health and disease in lab-on-a-chips
Ponmozhi, J., Dhinakaran, S., Kocsis, D., Iván, K., & Erdő, F. (2023) · Tissue Barriers · doi:10.1080/21688370.2023.2221632 · Cited by 20
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
Chen, Y., Lee, K., Liao, H.-J., Sun, W.-L., Huang, W., Wang, Y., Chang, W., & Liu, C. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.135409 · Cited by 17
Ebrahim, N. A. A., & Soliman, S. M. A. (2025) · Biomedical Materials & Devices · doi:10.1007/s44174-025-00287-4 · Cited by 16
Harnessing Tissue Engineering Tools to Interrogate Host-Microbiota Crosstalk in Cancer
Udayasuryan, B., Nguyen, T. T. D., Slade, D. J., & Verbridge, S. S. (2020) · iScience · doi:10.1016/j.isci.2020.101878 · Cited by 15
In Vitro Human Cancer Models for Biomedical Applications
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
Nanodelivery Systems Face Challenges and Limitations in Bone Diseases Management
Giordano, F., Lenna, S., Rampado, R., Brozovich, A., Hirase, T., Tognon, M. G., Martini, F., Agostini, M., Yustein, J. T., & Taraballi, F. (2021) · Advanced Therapeutics · doi:10.1002/adtp.202100152 · Cited by 17
Advancements and challenges in SLA-based microfluidic devices for organ-on-chip applications
Barbosa, F., Coutinho, P., Ribeiro, M. P., Moreira, A. F., Lourenço, L. M., & Miguel, S. P. (2025) · Materials & Design · doi:10.1016/j.matdes.2025.114254 · Cited by 15
Kieda, J., Appak‐Baskoy, S., Jeyhani, M., Navi, M., Chan, K. W. Y., & Tsai, S. S. H. (2023) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.2c00963 · Cited by 15
Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling
Ahmed, T. (2023) · In vitro models · doi:10.1007/s44164-023-00043-2 · Cited by 14
Human-derived Tumor-On-Chip model to study the heterogeneity of breast cancer tissue
Jeibouei, S., Monfared, A. K., Hojat, A., Aref, A. R., Shams, F., Dolati, M., Moradi, A., Hosseini, M., Javadi, S. M. R., Ajoudanian, M., et al. (2024) · Biomaterials Advances · doi:10.1016/j.bioadv.2024.213915 · Cited by 15
Ma, D., Luo, Q., & Song, G. (2024) · Biomaterials Advances · doi:10.1016/j.bioadv.2024.213936 · Cited by 16
Replacement techniques to reduce animal experiments in drug and nanoparticle development
Jin, I. S., Yoon, M. S., Park, C., Hong, J. T., Chung, Y. B., Kim, J., & Shin, D. H. (2020) · Journal of Pharmaceutical Investigation · doi:10.1007/s40005-020-00487-8 · Cited by 14
Rajan, S. A. P., Skardal, A., & Hall, A. R. (2020) · Advanced Biosystems · doi:10.1002/adbi.201900273 · Cited by 14
Impact of hydrogel biophysical properties on tumor spheroid growth and drug response
Cameron, A. P., Gao, S., Liu, Y., & Zhao, C. (2023) · Biomaterials Advances · doi:10.1016/j.bioadv.2023.213421 · Cited by 13
Tevlek, A. (2024) · Biomedical Materials · doi:10.1088/1748-605x/ad2378 · Cited by 13
Engineering porous membranes mimicking in vivo basement membrane for organ-on-chips applications
Youn, J., & Kim, D. S. (2022) · Biomicrofluidics · doi:10.1063/5.0101397 · Cited by 14
Stackhouse, C. T., Gillespie, G. Y., & Willey, C. D. (2019) · Current topics in microbiology and immunology · doi:10.1007/82_2019_157 · Cited by 12
Unraveling Cancer Metastatic Cascade Using Microfluidics-based Technologies
Hakim, M., Kermanshah, L., Abouali, H., Hashemi, H. M., Yari, A., Khorasheh, F., Alemzadeh, I., & Vossoughi, M. (2022) · Biophysical Reviews · doi:10.1007/s12551-022-00944-8 · Cited by 13
An in vitro tumor swamp model of heterogeneous cellular and chemotherapeutic landscapes
Lin, K.-C., Sun, Y. Y., Torga, G., Sherpa, P., Zhao, Y., Qu, J., Amend, S. R., Pienta, K. J., Sturm, J. C., & Austin, R. H. (2020) · Lab on a Chip · doi:10.1039/d0lc00131g · Cited by 12
Fluorescence‐Guided Spatial Drug Screening in 3D Colorectal Cancer Spheroids
Yau, J. N. N., Yempala, T., Muthuramalingam, R. P. K., Giustarini, G., Teng, G., Ang, W. H., Gibson, D., Adriani, G., & Pastorin, G. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202400203 · Cited by 12
Gresing, L., Radon, P., Friedrich, R. P., Zahn, D., Raasch, M., Mosig, A. S., Dutz, S., Alexiou, C., Wiekhorst, F., Hochhaus, A., et al. (2020) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2020.167535 · Cited by 11
3D in vitro co-culture disc for spatiotemporal image analysis of cancer–stromal cell interaction
Takahashi, H., & Kikuchi, Y. (2021) · Biomaterials Science · doi:10.1039/d1bm00629k · Cited by 10
Xu, H., Cheng, C., & Le, W. (2022) · Electrophoresis · doi:10.1002/elps.202100360 · Cited by 10
Pyo, D. H., Hong, H. K., Lee, W. Y., & Cho, Y. B. (2020) · Cancer Biology & Therapy · doi:10.1080/15384047.2020.1738907 · Cited by 13
The use of microphysiological systems to model metastatic cancer
Jackson, C. E., Green, N. H., English, W., & Claeyssens, F. (2024) · Biofabrication · doi:10.1088/1758-5090/ad3b70 · Cited by 10
ATLAS-seq: a microfluidic single-cell TCR screen for antigen-reactive TCRs
Luo, S., Notaro, A., & Lin, L. (2025) · Nature Communications · doi:10.1038/s41467-024-54675-3 · Cited by 9
Microfluidic channel with embedded monolayer nanofibers for cell culture and co-culture
Huang, B., He, Y., Wang, L., Shi, J., Hu, J., Rofaani, E., Yamada, A., & Chen, Y. (2020) · Microelectronic Engineering · doi:10.1016/j.mee.2020.111235 · Cited by 13
Modelling the Tumour Microenvironment, but What Exactly Do We Mean by “Model”?
Reyes‐Aldasoro, C. C. (2023) · Cancers · doi:10.3390/cancers15153796 · Cited by 8
Zimina, T. M., Sitkov, N. O., Газинурович, Г. К., Mikhailova, N., Combs, S. E., & Shevtsov, M. A. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1452298 · Cited by 14
Tumor-on-chip’s alliance with molecular pathology against metastatic disease
Carlo, E. D. (2026) · Journal of Biomedical Science · doi:10.1186/s12929-025-01209-8 · Cited by 9
Tumor-on-a-Chip: Microfluidic Models of Hypoxic Tumor Microenvironment
Parihar, A., Choudhary, N. K., Parihar, D. S., & Khan, R. (2023) · Springer eBooks · doi:10.1007/978-981-99-0313-9_14 · Cited by 8
Engineered Models of Metastasis with Application to Study Cancer Biomechanics
Chen, M. B., Kamm, R. D., & Moeendarbary, E. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-95294-9_10 · Cited by 8
Bria, J., Filardo, A., Vito, A. D., Torre, A. D., Lavano, A., Coscarella, I., Chiarella, E., Procopio, E., Egiziano, M. T., Longo, P., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262311435 · Cited by 7
Dey, S., Kinoshita, M., Puttick, S. G., Rose, S., Trau, M., Roberts, M. J., & Koo, K. M. (2024) · Advanced Sensor Research · doi:10.1002/adsr.202300193 · Cited by 7
Bioprinting: A Strategy to Build Informative Models of Exposure and Disease
Cáceres-Albán, J., Sanchez, M., & Casado, F. L. (2022) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2022.3146293 · Cited by 9
Biomaterial-Based Delivery Systems for Chemotherapeutics
Gugulothu, D. B., Dhawan, D., Sachdeva, A., Deepali, & Chauhan, M. K. (2023) · Biological and medical physics, biomedical engineering · doi:10.1007/978-981-19-9786-0_4 · Cited by 7
Bonifácio, E., Torres, L. A. G., Meireles, A. B., Guimarães, M. V., & ARAÚJO, C. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.105039 · Cited by 7
Engineered tumor models for cancer biology and treatment
Moon, H., & Han, B. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102983-1.00015-6 · Cited by 7
Vázquez‐Victorio, G., Rodríguez-Hernández, A., Cano-Jorge, M., Monroy-Romero, A. X., Macías‐Silva, M., & Hautefeuille, M. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0759-6_18 · Cited by 6
Tumor organoids on-a-chip and the role of AI in predictive oncology and personalized cancer medicine
Mirlohi, M. S., Hamdi, E., Karimi, M. H., Salami, S., Aref, A. R., Kohan, H. G., Ghayoor, A., Seyfoori, A., & Akbari, M. (2026) · Biofabrication · doi:10.1088/1758-5090/ae3644 · Cited by 6
Microfluidic technologies in tumour metabolism
Doherty, M., Wang, T., Lamprou, D. A., & Coulter, J. A. (2022) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2022.122370 · Cited by 6
Current Insights in Murine Models for Breast Cancer: Present, Past and Future
Jain, M., & Goel, A. (2024) · Current Pharmaceutical Design · doi:10.2174/0113816128306053240604074142 · Cited by 5
Lacombe, J., Dunn, S. E., Layac, M., Soldevila, M., Fakrudin, N. M., Duane, B., Chen, K., Barrett, M. W., Helton, J., Laiakis, E. C., et al. (2025) · iScience · doi:10.1016/j.isci.2025.114236 · Cited by 6
Mohammed, A. E., Kurucaovalı, F., & Pesen‐Okvur, D. (2024) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-024-09955-2 · Cited by 6
Cells and Organs on a Chip in Biomedical Sciences
Roberts, A., Mahari, S., & Gandhi, S. (2022) · Springer eBooks · doi:10.1007/978-981-19-1379-2_10 · Cited by 5
Besanjideh, M., Shamloo, A., & Hannani, S. K. (2022) · Journal of drug targeting · doi:10.1080/1061186x.2022.2119478 · Cited by 5
Yang, Y., Liu, S., & Geng, J. (2019) · Current Pharmaceutical Design · doi:10.2174/1381612825666190730100051 · Cited by 5
CanSeer: a translational methodology for developing personalized cancer models and therapeutics
Butt, R. N., Bibi, A., Sultan, M. U., Tanveer, Z. B., Gondal, M. N., Hussain, R., Khan, S., Akbar, R., Nasir, Z., Khalid, M. F., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-99219-x · Cited by 4
Ex Vivo Modeling of the Tumor Microenvironment to Develop Therapeutic Strategies for Gliomas
Graber, P., Dolman, M. E. M., Jung, M., & Kavallaris, M. (2024) · Advanced Therapeutics · doi:10.1002/adtp.202300442 · Cited by 4
Santillán-Cortez, D., Castell-Rodríguez, A. E., González‐Arenas, A., Suárez‐Cuenca, J. A., Hautefeuille, M., Pérez‐Koldenkova, V., Añorve-Bailón, D., Garcı́a, S., Toledo-Lozano, C. G., Escamilla-Tilch, M., et al. (2024) · Bioengineering · doi:10.3390/bioengineering11101008 · Cited by 4
Enhanced droplet breakup dynamics via magnetic force assistance: unveiling mixed splitting mode
Wankawala, D. H., Shen, A. Q., & Mondal, P. K. (2025) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2024.0594 · Cited by 3
Self-citationThe Microenvironment of Solid Tumors: Components and Current Challenges of Tumor-on-a-Chip Models
Souza, I. D. F., Vieira, J. P. D. J., Bonifácio, E., Freitas, B. A. D. A., & Torres, L. A. G. (2024) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2024.0088 · Cited by 3
Computational model of the cancer necrotic core formation in a tumor-on-a-chip device
Bonifácio, E., ARAÚJO, C., Guimarães, M. V., de Souza, M. P., Lima, T. P., Freitas, B. A. D. A., & Torres, L. A. G. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2024.111893 · Cited by 3
Zarei, F., Besanjideh, M., & Shamloo, A. (2024) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2024.106134 · Cited by 3
Advancing the Collaboration Between Imaging and Radiation Oncology
Jia, X., Carter, B. W., Duffton, A., Harris, E., Hobbs, R. F., & Li, H. (2024) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2024.07.005 · Cited by 3
Elnour, A. A. M., Ashammakhi, N. A., & Sallam, E. B. (2025) · Springer eBooks · doi:10.1007/978-981-97-8518-6_7 · Cited by 3
Role of 3D tissue engineering models for human cancer and drug development
Khan, A. Q., Rashid, K., Raza, S. S., Khan, R., Mraiche, F., & Shahab Uddin, M. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814704-7.00013-1 · Cited by 3
Study of diffusive- and convective-transport mediated microtumor growth in a controlled microchamber
Hsu, Y., Liu, W., Wu, T.-H., Lee, C. J.-T., Chen, Y.-H., & Li, P. (2019) · Biomedical Microdevices · doi:10.1007/s10544-018-0356-7 · Cited by 3
Speghini, R., Buscato, C., Marcato, S., Fortunati, I., Baldan, B., & Ferrante, C. (2023) · Biosensors · doi:10.3390/bios13040417 · Cited by 3
Stromal Barriers Within the Tumor Microenvironment and Obstacles to Nanomedicine
Tanaka, H. Y., & Kano, M. R. (2019) · Springer eBooks · doi:10.1007/978-4-431-56880-3_4 · Cited by 3
Microfluidics for Immuno‐oncology
Ma, C., Harris, J., Morales, R. T., & Chen, W. (2019) · Wiley eBooks · doi:10.1002/9783527818341.ch5 · Cited by 3
Tumor-on-chip as a personalized platform for rapid drug testing in breast cancer
Helal, C., Pinon, L., Jin, J., Schintu, N., Vazquez, A., Domalain, L., Nurmik, M., Antonelli, G., Ladaigue, S., Simon, M., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.103011 · Cited by 2
Matrix metalloproteinases: the role in evolution of liver diseases
Koroy, P., Dudov, T. R., Yagoda, A., & Sarithala, V. J. (2023) · Medical news of the North Caucasus · doi:10.14300/mnnc.2023.18052 · Cited by 2
In vitro and in vivo laboratory models of pleural disease
Yao, X., & Kanellakis, N. I. (2020) · European Respiratory Society eBooks · doi:10.1183/2312508x.10032719 · Cited by 1
Recent advances of microfluidic organ-on-a-chip monitoring strategies
Ebrahimi, A., Benzait, Z., Tomsuk, Ö., Özel, C., Tüfekçioğlu, E., Dordinejad, G. G., Didarian, R., Ghorbanpoor, H., Güzel, F. D., & Avcı, H. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-21519-3.00029-7 · Cited by 1
Gupta, U., Yousuf, B., Singh, S. K., & Arun, R. K. (2026) · Soft Matter · doi:10.1039/d5sm01222h · Cited by 1
Yu, Y., Li, Y., Wang, J., Zhu, Y.-J., Zhang, Z., Xiao, Z., Chen, Y., Qu, Y., Han, L., & Zhang, H. (2026) · Experimental Hematology and Oncology · doi:10.1186/s40164-026-00757-5 · Cited by 2
Souza, I. L. M., Torres, A. C. M. B. G., Lucas, R., Jiacomini, I. G., Klein, S. R., Reis, M. B. E., Suzukawa, A. A., Zanette, D. L., Aoki, M. N., de Aguiar, A. M., et al. (2026) · Cells · doi:10.3390/cells15050446 · Cited by 1
The design basis and application in urology of the tumor-on-a-chip platform
Sheng, F., & Jia, R. (2022) · Urologic Oncology Seminars and Original Investigations · doi:10.1016/j.urolonc.2022.03.012 · Cited by 1
Microfluidic Protocols for the Assessment of Anticancer Therapies in 3D Tumor-Stromal Cocultures
Paterson, K., & Zagnoni, M. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3271-0_8 · Cited by 1
Tissue chips as headway model and incitement technology
Modi, P. S., Singh, A., Chaturvedi, A., Agarwal, S., Dutta, R., Nayak, R., & Singh, A. (2024) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2024.08.007 · Cited by 1
Pupiute, A., Čiužas, D., Baniukaitienė, O., Tichonovas, M., Martuzevičius, D., Petrikaitė, V., & Krugly, E. (2024) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2024.106213 · Cited by 1
Glioblastoma adhesion in a quick-fit hybrid microdevice
Tsai, H., Toda‐Peters, K., & Shen, A. Q. (2019) · Biomedical Microdevices · doi:10.1007/s10544-019-0382-0 · Cited by 1
Self-citationA Concept of Biopharmaceutical Nanosatellite
B, J. M. A., & Zadrożny, A. (2019) · New Space · doi:10.1089/space.2018.0016 · Cited by 1
The Tumor Microenvironment: An Introduction to the Development of Microfluidic Devices
Kundu, B., Caballero, D., Abreu, C. M., Reis, R. L., & Kundu, S. C. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-04039-9_5 · Cited by 1
On chip complex breast tumour microenvironment: application to research in nanomedicine
Blondé, J.-B. (2020) · doi:10.3990/1.9789036550598 · Cited by 1
Body on Chip-A Distant Dream or an Emerging Reality?
Benny, O. (2018) · Drug Designing & Intellectual Properties International Journal · doi:10.32474/ddipij.2018.01.000118
Petersen, E. V., Gorbachev, R., Skorova, E., & Volkov, I. A. (2018) · International Conference on Engineering and Telecommunication (EnT) · doi:10.1109/ent-mipt.2018.00038
King, C. T. (2019) · Louisiana State University · doi:10.31390/gradschool_theses.5039
Spatial characterization of the BT-20 triple negative breast cancer spheroidal model
Ncube, K. N. (2019) · UpSpace Institutional Repository (University of Pretoria)
Microfluidic Devices for High-resolution Cellular Profiling
Aldridge, P. M. (2019) · TSpace (University of Toronto)
Handling and control setups for microfluidic devices
Guzzi, F., Randazzini, L., Zaccone, S., Parrotta, E. I., Merola, A., Cosentino, C., Cuda, G., & Perozziello, G. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822482-3.00008-7
Pharmacogenomics: Personalized medicine and its impact on breast cancer
Alharbi, O. O. (2019) · International Journal of Health Sciences · doi:10.53730/ijhs.v3ns1.15040
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
