Tumor-on-a-chip: from bioinspired design to biomedical application
Open accessAbstract
Cancer is one of the leading causes of human death, despite enormous efforts to explore cancer biology and develop anticancer therapies. The main challenges in cancer research are establishing an efficient tumor microenvironment in vitro and exploring efficient means for screening anticancer drugs to reveal the nature of cancer and develop treatments. The tumor microenvironment possesses human-specific biophysical and biochemical factors that are difficult to recapitulate in conventional in vitro planar cell models and in vivo animal models. Therefore, model limitations have hindered the translation of basic research findings to clinical applications. In this review, we introduce the recent progress in tumor-on-a-chip devices for cancer biology research, medicine assessment, and biomedical applications in detail. The emerging tumor-on-a-chip platforms integrating 3D cell culture, microfluidic technology, and tissue engineering have successfully mimicked the pivotal structural and functional characteristics of the in vivo tumor microenvironment. The recent advances in tumor-on-a-chip platforms for cancer biology studies and biomedical applications are detailed and analyzed in this review. This review should be valuable for further understanding the mechanisms of the tumor evolution process, screening anticancer drugs, and developing cancer therapies, and it addresses the challenges and potential opportunities in predicting drug screening and cancer treatment.
AI snapshot
Written from the paper’s full text.
TL;DR
This review surveys tumor-on-a-chip platforms that combine microfluidics, 3D cell culture, and tissue engineering to better mimic the human tumor microenvironment for cancer biology and drug screening. It covers fabrication methods, materials, organ-specific tumor chip types, and applications, while outlining challenges for clinical and industrial translation.
Key findings
- Conventional preclinical models have predictive limits: over 80% of anticancer drug candidates fail clinical screening due to weak efficacy or adverse events, and concordance between animal models and clinical trials averages barely 8%.
- Tumor-on-a-chip systems can recreate key TME features such as 3D architecture, biochemical gradients, dynamic flow, cell–cell and cell–matrix interactions, and vascular structures; examples include lung, liver, brain, colorectal, breast, and pancreatic tumor chips.
- Applications include modeling organ-level physiology, tumor morphology and drug response, cancer invasion/metastasis, and drug screening; multiorgan chips have been used to assess efficacy and off-target toxicity of anticancer therapeutics.
- The review reports cancer burden figures: an estimated 18.1 million new cancer cases and 9.6 million cancer-related deaths in 2018; by 2040, worldwide cancer cases are projected to increase by 60%, with ~81% in developing countries. It also notes metastasis is responsible for more than 90% of cancer-related deaths and breast cancer bone metastases occur at ~70% frequency.
Methods
- Narrative review of tumor-on-a-chip platforms, covering microfabrication techniques (photolithography, soft lithography, replica molding, microcontact printing, bioprinting), materials (PDMS, PMMA, gelatin/GelMA, bacterial cellulose paper, BME/Matrigel), and advanced models including organoids, spheroids, vascularized systems, and multiorgan chips.
- The paper synthesizes prior studies across tumor types—lung, liver, brain, colorectal, breast, and pancreatic—and applications in cancer biology, drug screening, and metastasis modeling.
- No primary experimental data, systematic search strategy, or meta-analysis is reported; the work is a review.
Limitations
- The authors state that tumor chips still struggle to simulate complex signal regulation, especially endocrine and immune signals from nonadjacent organs.
- The authors state challenges in industrial manufacture and data standardization, including the need for user-friendly systems and standardized data across laboratories.
- The authors state that new biocompatible materials are needed because PDMS can adsorb hydrophobic compounds such as drugs and proteins, potentially reducing effective drug concentrations and causing experimental errors. As evident from the text, this is a review without original experimental validation or systematic review methodology.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 193 cited sources checked · 0 supported · 0 flagged
- Premisecitation
Conventional 2D cell monolayers and 3D cell culture models are unable to recapitulate the complex biochemical and biophysical factors of the tumor microenvironment in vivo because they lack the systemic nature of tumors, leading to weak predictive ability.
“2D cell monolayers and three-dimensional cell culture models have been widely employed as initial screening models to provide a cost-efficient and simplified method to elucidate the mechanism of cancer biology or identify the efficacy and safety of a drug candidate14–16; however, they are unable to recapitulate complex biochemical and biophysical factors of the tumor microenvironment (TME) in vivo”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [17] Antoine, E. E., Vlachos, P. P., Rylander, M. N. & Zeugolis, D. Tunable collagen I hydrogels for engineered physiological tissue micro-environments. PLoS ONE 10, e0122500 (2015). source
Not checked in the free run.
- cites [18] Asghar, W. et al. Engineering cancer microenvironments for in vitro 3-D tumor models. Mater. Today 18, 539–553 (2015). source
Not checked in the free run.
- cites [19] Kapałczyńska, M. et al. 2D and 3D cell cultures–a comparison of different types of cancer cell cultures. Arch. Med. Sci. 14, 910 (2018).
Not checked in the free run.
- cites [20] Fang, Y. & Eglen, R. M. Three-dimensional cell cultures in drug discovery and development. SLAS Discov. 22, 456–472 (2017). source
Not checked in the free run.
- cites [21] Hoarau-Véchot, J., Rafii, A., Touboul, C. & Pasquier, J. Halfway between 2D and animal models: are 3D cultures the ideal tool to study cancer-microenvironment interactions? Int. J. Mol. Sci. 19, 181 (2018). source
Not checked in the free run.
- cites [22] Jabbarzadegan, M. et al. Application of arteether-loaded polyurethane nanomicelles to induce immune response in breast cancer model. Artif. Cells Nanomed. Biotechnol. 45, 808–816 (2017). source
Not checked in the free run.
- cites [23] Chung, M., Ahn, J., Son, K., Kim, S. & Jeon, N. L. Biomimetic model of tumor microenvironment on microfluidic platform. Adv. Healthc. Mater. 6, 1700196 (2017). source
Not checked in the free run.
- cites [24] Stock, K. et al. Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery. Sci. Rep. 6, 1–15 (2016). source
Not checked in the free run.
- Premisecitation
Results of animal experiments cannot directly verify the toxicity and side effects of drugs in humans due to species differences.
“One major reason for these issues is that the results of animal experiments cannot directly verify the toxicity and side effects of drugs in humans due to species differences12,13.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] Sertkaya, A., Wong, H.-H., Jessup, A. & Beleche, T. Key cost drivers of pharmaceutical clinical trials in the United States. Clin. Trials 13, 117–126 (2016). source
Not checked in the free run.
- cites [13] Hachey, S. J. & Hughes, C. C. W. Applications of tumor chip technology. Lab Chip 18, 2893–2912 (2018). source
Not checked in the free run.
- Premisecitation
Microfluidic systems can link different organs-on-a-chip to potentially simulate the complexity of multiorgan drug metabolism and pharmacokinetics.
“Furthermore, microfluidic systems can link different organs-on-a-chip to potentially simulate the complexity of multiorgan drug metabolism and pharmacokinetics9,47,50,68–71.”
Quote in the paperNot a substantial claim0 of 7 sources checked- cites [9] Satoh, T. et al. A multi-throughput multi-organ-on-a-chip system on a plate formatted pneumatic pressure-driven medium circulation platform. Lab a Chip 18, 115–125 (2018). source
Not checked in the free run.
- cites [47] Zhang, Y. S., Zhang, Y.-N. & Zhang, W. Cancer-on-a-chip systems at the frontier of nanomedicine. Drug Discov. Today 22, 1392–1399 (2017). source
Not checked in the free run.
- cites [50] Ronaldson-Bouchard, K. & Vunjak-Novakovic, G. Organs-on-a-chip: a fast track for engineered human tissues in drug development. Cell Stem Cell 22, 310–324 (2018). source
Not checked in the free run.
- cites [68] Wang, Y. I. et al. Self-contained, low-cost Body-on-a-Chip systems for drug development. Exp. Biol. Med. 242, 1701–1713 (2017). source
Not checked in the free run.
- cites [69] Tsamandouras, N. et al. Integrated gut and liver microphysiological systems for quantitative in vitro pharmacokinetic studies. AAPS J. 19, 1499–1512 (2017). source
Not checked in the free run.
- cites [70] Skardal, A. et al. Multi-tissue interactions in an integrated three-tissue organ-on-a-chip platform. Sci. Rep. 7, 8837 (2017). source
Not checked in the free run.
- cites [71] Edington, C. D. et al. Interconnected microphysiological systems for quantitative biology and pharmacology studies. Sci. Rep. 8, 4530 (2018). source
Not checked in the free run.
- Premisecitation
In vivo animal models possess limitations: species-specific differences between animals and humans cause differences in drug efficacy and toxicity tests in physiology and cell biology.
“Species-specific differences between animals and humans cause differences in drug efficacy and toxicity tests in physiology and cell biology31–37.”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [31] Engelman, R. & Kerr, W. G. Autoimmunity 433–441 (Springer, 2012). source
Not checked in the free run.
- cites [32] Kang, T. H. & Kim, H. J. Farewell to animal testing: innovations on human intestinal microphysiological systems. Micromachines 7, 107 (2016). source
Not checked in the free run.
- cites [33] Hintze, K. J. et al. Broad scope method for creating humanized animal models for animal health and disease research through antibiotic treatment and human fecal transfer. Gut Microbes 5, 183–191 (2014). source
Not checked in the free run.
- cites [34] Rongvaux, A. et al. Development and function of human innate immune cells in a humanized mouse model. Nat. Biotechnol. 32, 364–372 (2014). source
Not checked in the free run.
- cites [35] Seok, J. et al. Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc. Natl Acad. Sci. USA 110, 3507–3512 (2013). source
Not checked in the free run.
- cites [36] Rubin, E. H. & Gilliland, D. G. Drug development and clinical trials—the path to an approved cancer drug. Nat. Rev. Clin. Oncol. 9, 215 (2012). source
Not checked in the free run.
- cites [37] Zhou, Z. et al. The use of functionalized silk fibroin films as a platform for optical diffraction‐based sensing applications. Adv. Mater. 29, 1605471 (2017). source
Not checked in the free run.
- Interpretationreasoning
3D models are able to better reflect the real tumor setting with a more natural response to different soluble factors present in the TME.
“3D models are able to better reflect the real tumor setting with a more natural response to different soluble factors present in the TME.”
Quote in the paperSubstantial claim
- Premisecitation
Monolayer cell cultures may provide misleading results because IC50 values were almost identical for several cases in which spheroid cultures resulted in significantly distinct IC50 average values.
“Tuncer et al. explored drug inhibitory effects (IC50) in monolayer (2D) and spheroid (3D) cultures, indicating that monolayer cell cultures may provide misleading results, since the produced IC50 values were almost identical for several cases in which spheroid cultures resulted in significantly distinct IC50 average values25.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Berrouet, C., Dorilas, N., Rejniak, K. A. & Tuncer, N. Comparison of drug inhibitory effects (IC50) in monolayer and spheroid cultures. Bull Math Biol 82, 68 (2020). source
Not checked in the free run.
- Premisecitation
Animal models can imitate the TME to provide essential information regarding tumor growth and tumor response to drug compounds in vivo for the study of pharmacokinetics and mechanism of action after drug treatment.
“Alternatively, animal models, as the gold standard in cancer biology, can imitate the TME to provide essential information regarding tumor growth and tumor response to drug compounds in vivo for the study of the pharmacokinetics and mechanism of action after drug treatment26–30.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [26] NDong, C. et al. Tumor cell targeting by iron oxide nanoparticles is dominated by different factors in vitro versus in vivo. PLoS ONE 10, e0115636 (2015). source
Not checked in the free run.
- cites [27] Petryk, A. A., Giustini, A. J., Gottesman, R. E., Kaufman, P. A. & Hoopes, P. J. Magnetic nanoparticle hyperthermia enhancement of cisplatin chemotherapy cancer treatment. Int. J. Hyperth. 29, 845–851 (2013). source
Not checked in the free run.
- cites [28] Chakrabarti, R. & Kang, Y. Mouse Models of Cancer 367–380 (Springer, 2015). source
Not checked in the free run.
- cites [29] Cekanova, M. & Rathore, K. Animal models and therapeutic molecular targets of cancer: utility and limitations. Drug Des., Dev. Ther. 8, 1911 (2014). source
Not checked in the free run.
- cites [30] Day, C.-P., Merlino, G. & Van Dyke, T. Preclinical mouse cancer models: a maze of opportunities and challenges. Cell 163, 39–53 (2015). source
Not checked in the free run.
- Premisecitation
Over 80% of anticancer drug candidates fail during clinical screening due to weak efficacy or adverse events.
“However, the success rate of anticancer drugs in clinical trials is very low, with over 80% of drug candidates failing during clinical screening due to weak efficacy or adverse events4–7.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [4] Smietana, K., Siatkowski, M. & Moller, M. Trends in clinical success rates. Nat. Rev. Drug Discov. 15, 379–380 (2016). source
Not checked in the free run.
- cites [5] Heylman, C., Sobrino, A., Shirure, V. S., Hughes, C. C. & George, S. C. A strategy for integrating essential three-dimensional microphysiological systems of human organs for realistic anticancer drug screening. Exp. Biol. Med. 239, 1240–1254 (2014). source
Not checked in the free run.
- cites [6] Arrowsmith, J. & Miller, P. Trial watch: Phase II and Phase III attrition rates 2011-2012. Nat. Rev. Drug Discov. 12, 569 (2013). source
Not checked in the free run.
- cites [7] Hay, M., Thomas, D. W., Craighead, J. L., Economides, C. & Rosenthal, J. Clinical development success rates for investigational drugs. Nat. Biotechnol. 32, 40–51 (2014). source
Not checked in the free run.
- Interpretationreasoning
Current disease and drug screening preclinical models possess certain predictive defects.
“These differences strongly suggest that the current disease and drug screening preclinical models possess certain predictive defects13.”
Quote in the paperSubstantial claim - Premisecitation
Through precise microfluidic designs, microfluidic devices can reconstruct physiological dynamic characteristics in tissues, such as physiological flow, shear stress, nutrient delivery, and drug action, in a controllable environment.
“Through precise microfluidic designs, microfluidic devices can reconstruct physiological dynamic characteristics in tissues, such as physiological flow, shear stress, nutrient delivery, and drug action, in a controllable environment, providing a platform for cell culture, microenvironment creation, and organ simulation or in vitro assessment of organ tissue60–67.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [60] Orcheston-Findlay, L., Hashemi, A., Garrill, A. & Nock, V. A microfluidic gradient generator to simulate the oxygen microenvironment in cancer cell culture. Microelectron. Eng. 195, 107–113 (2018). source
Not checked in the free run.
- cites [61] Ma, Y.-H. V., Middleton, K., You, L. & Sun, Y. A review of microfluidic approaches for investigating cancer extravasation during metastasis. Microsyst. Nanoeng. 4, 1–13 (2018). source
Not checked in the free run.
- cites [62] Wan, L. et al. Mimicking embedded vasculature structure for 3D cancer on a chip approaches through micromilling. Sci. Rep. 7, 1–8 (2017). source
Not checked in the free run.
- cites [63] Chen, M. B. et al. On-chip human microvasculature assay for visualization and quantification of tumor cell extravasation dynamics. Nat. Protoc. 12, 865–880 (2017). source
Not checked in the free run.
- cites [64] Fabre, K. M., Livingston, C. & Tagle, D. A. Organs-on-chips (microphysiological systems): tools to expedite efficacy and toxicity testing in human tissue. Exp. Biol. Med. 239, 1073–1077 (2014). source
Not checked in the free run.
- cites [65] Polacheck, W. J., German, A. E., Mammoto, A., Ingber, D. E. & Kamm, R. D. Mechanotransduction of fluid stresses governs 3D cell migration. Proc. Natl Acad. Sci. USA 111, 2447–2452 (2014). source
Not checked in the free run.
- cites [66] Shirure, V. S., Lezia, A., Tao, A., Alonzo, L. F. & George, S. C. Low levels of physiological interstitial flow eliminate morphogen gradients and guide angiogenesis. Angiogenesis 20, 493–504 (2017). source
Not checked in the free run.
- cites [67] Rothbauer, M., Zirath, H. & Ertl, P. Recent advances in microfluidic technologies for cell-to-cell interaction studies. Lab Chip 18, 249–270 (2018). source
Not checked in the free run.
- Premisecitation
Obtaining concordance between animal models and clinical trials remains challenging, with an average rate of concordant results that barely reaches 8%.
“Seymour and Ghert et al. demonstrated that obtaining concordance between animal models and clinical trials remains challenging, with an average rate of concordant results that barely reaches 8%21,39,40.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [21] Hoarau-Véchot, J., Rafii, A., Touboul, C. & Pasquier, J. Halfway between 2D and animal models: are 3D cultures the ideal tool to study cancer-microenvironment interactions? Int. J. Mol. Sci. 19, 181 (2018). source
Not checked in the free run.
- cites [39] Voskoglou-Nomikos, T., Pater, J. L. & Seymour, L. Clinical predictive value of the in vitro cell line, human xenograft, and mouse allograft preclinical cancer models. Clin. Cancer Res. 9, 4227–4239 (2003).
Not checked in the free run.
- cites [40] Katt, M. E., Placone, A. L., Wong, A. D., Xu, Z. S. & Searson, P. C. In vitro tumor models: advantages, disadvantages, variables, and selecting the right platform. Front. Bioeng. Biotechnol. 4, 12 (2016). source
Not checked in the free run.
- Premisecitation
PDMS has a disadvantage: its hydrophobicity limits the application of PDMS in chemical screening because PDMS may bind or absorb hydrophobic molecules.
“Despite this, PDMS has a disadvantage, namely, its hydrophobicity, which limits the application of PDMS in chemical screening because PDMS may bind or absorb hydrophobic molecules163.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [163] Auner, A. W., Tasneem, K. M., Markov, D. A., McCawley, L. J. & Hutson, M. S. Chemical-PDMS binding kinetics and implications for bioavailability in microfluidic devices. Lab a Chip 19, 864–874 (2019). source
Not checked in the free run.
- Premisecitation
In an in vitro metastasis model, migrated tumor cells must be further exposed to varying microenvironments and oxygen gradients to simulate the process of in vivo intravasation.
“In an in vitro metastasis model, migrated tumor cells must be further exposed to varying microenvironments and oxygen gradients to simulate the process of in vivo intravasation126.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [126] Ehsan, S. M., Welch-Reardon, K. M., Waterman, M. L., Hughes, C. C. & George, S. C. A three-dimensional in vitro model of tumor cell intravasation. Integr. Biol. 6, 603–610 (2014). source
Not checked in the free run.
- Premisecitation
The vasculature of tumors is very different from the blood vessels that supply healthy tissues, especially in terms of heterogeneity, permeability, multidirectional blood flow, and unordered distribution throughout the tumor.
“The vasculature of tumors is very different from the blood vessels that supply healthy tissues, especially in terms of heterogeneity, permeability, multidirectional blood flow, and unordered distribution throughout the tumor160.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [160] Nagy, J. A., Chang, S. H., Dvorak, A. M. & Dvorak, H. F. Why are tumour blood vessels abnormal and why is it important to know? Br. J. Cancer 100, 865–869 (2009). source
Not checked in the free run.
- Premisecitation
Bioprinting technology is able to create a biomimetic microenvironment for the heterogeneous distribution of biologically relevant proteins and growth factors, which are important to control tumor cell signaling, proliferation, and migration.
“In addition, bioprinting technology is able to create a biomimetic microenvironment for the heterogeneous distribution of biologically relevant proteins and growth factors, which are important to control tumor cell signaling, proliferation, and migration156,157.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [156] Choudhury, D., Anand, S. & Naing, M. W. The Arrival of Commercial Bioprinters - Towards 3D Bioprinting Revolution! Int. J. Bioprint. 4, https://doi.org/10.18063/ijb.v4i2.139 (2018). source
Not checked in the free run.
- cites [157] Keenan, T. M. & Folch, A. Biomolecular gradients in cell culture systems. Lab a Chip 8, 34–57 (2008). source
Not checked in the free run.
- Premisecitation
It has been a major challenge to realize ECM-like heterogeneous composition in microfluidic channels of tumor-on-a-chip.
“It has been a major challenge to realize ECM-like heterogeneous composition in microfluidic channels of tumor-on-a-chip152.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [152] Colosi, C. et al. Microfluidic bioprinting of heterogeneous 3D tissue constructs using low-viscosity bioink. Adv. Mater. 28, 677–684 (2016). source
Not checked in the free run.
- Premisecitation
Complex components of the tumor microenvironment can significantly affect the growth and metastasis of cancer via mechanical and biochemical factors.
“Various studies have demonstrated that complex components can significantly affect the growth and metastasis of cancer via mechanical and biochemical factors113–116.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [113] Swartz, M. A. et al. Tumor microenvironment complexity: emerging roles in cancer therapy. Cancer Res. 72, 2473–2480 (2012). source
Not checked in the free run.
- cites [114] Wang, M. et al. Role of tumor microenvironment in tumorigenesis. J. Cancer 8, 761–773 (2017). source
Not checked in the free run.
- cites [115] Tavora, B. et al. Endothelial-cell FAK targeting sensitizes tumours to DNA-damaging therapy. Nature 514, 112–116 (2014). source
Not checked in the free run.
- cites [116] Romero-López, M. et al. Recapitulating the human tumor microenvironment: colon tumor-derived extracellular matrix promotes angiogenesis and tumor cell growth. Biomaterials 116, 118–129 (2017). source
Not checked in the free run.
- Premisecitation
Various biofunctional materials and cell types can be printed simultaneously onto a substrate of cell-compatible biomaterials to build 3D complex constructs with good spatial resolution and reproducibility.
“Various biofunctional materials and cell types can thus be printed simultaneously onto a substrate of cell-compatible biomaterials to build 3D complex constructs with good spatial resolution and reproducibility (Fig. 3a)130,148–151.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [130] Yang, Q., Lian, Q. & Xu, F. Perspective: fabrication of integrated organ-on-a-chip via bioprinting. Biomicrofluidics 11, 031301 (2017). source
Not checked in the free run.
- cites [148] Moroni, L. et al. Biofabrication strategies for 3D in vitro models and regenerative medicine. Nat. Rev. Mater. 3, 21–37 (2018). source
Not checked in the free run.
- cites [149] Costantini, M. et al. 3D bioprinting of BM-MSCs-loaded ECM biomimetic hydrogels for in vitro neocartilage formation. Biofabrication 8, 035002 (2016). source
Not checked in the free run.
- cites [150] Kang, H. W. et al. A 3D bioprinting system to produce human-scale tissue constructs with structural integrity. Nat. Biotechnol. 34, 312–319 (2016). source
Not checked in the free run.
- cites [151] Kolesky, D. B., Homan, K. A., Skylar-Scott, M. A. & Lewis, J. A. Three-dimensional bioprinting of thick vascularized tissues. Proc. Natl Acad. Sci. USA 113, 3179–3184 (2016). source
Not checked in the free run.
- Premisecitation
Based on bioprinting technology, bioinks can create cell aggregates comprising different types of cells, including cancer-associated fibroblasts, immune cells and endothelial cells, to form vascular networks.
“Based on bioprinting technology, bioinks can create cell aggregates comprising different types of cells, including cancer-associated fibroblasts, immune cells and endothelial cells, to form vascular networks153–155.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [153] Dababneh, A. B. & Ozbolat, I. T. Bioprinting technology: a current state-of-the-art review. J. Manuf. Sci. Eng. 136, https://doi.org/10.1115/1.4028512 (2014). source
Not checked in the free run.
- cites [154] Junttila, M. R. & de Sauvage, F. J. Influence of tumour micro-environment heterogeneity on therapeutic response. Nature 501, 346–354 (2013). source
Not checked in the free run.
- cites [155] Xu, F. et al. A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform. Biotechnol. J. 6, 204–212 (2011). source
Not checked in the free run.
- Premisecitation
Kang's group developed a protocol using poly(methyl methacrylate) (PMMA) substrates chemically and robustly bound to porous orbitally etched polyethylene terephthalate (PETE) membranes to construct a microfluidic device that is impermeable to small lipophilic molecules.
“To solve this problem, Kang’s group developed a protocol using poly(methyl methacrylate) (PMMA) substrates chemically and robustly bound to porous orbitally etched polyethylene terephthalate (PETE) membranes to construct a microfluidic device that is impermeable to small lipophilic molecules164.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
- Premisereasoning
Bioprinting technology has the ability to mimic the heterogeneous microenvironment and complex 3D microstructures of the tumor.
“First, it has the ability to mimic the heterogeneous microenvironment and complex 3D microstructures of the tumor.”
Quote in the paperSubstantial claim - Premisecitation
Successful vascularization has always been a major challenge in the production of functional tissues for tumor in vitro models.
“Successful vascularization has always been a major challenge in the production of functional tissues for tumor in vitro models161.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [161] Rouwkema, J. & Khademhosseini, A. Vascularization and angiogenesis in tissue engineering: beyond creating static networks. Trends Biotechnol. 34, 733–745 (2016). source
Not checked in the free run.
- Rests on an assumption: Vascularization is very important to maintain tissue activities and can be used to separate different tissue compartments.
- Premisecitation
Photolithography and related methods are capable of fabricating only the microfluidic chip itself, while other elements (microtissues, stimulus-loading components, and results-readout sensors) require additional processes.
“Moreover, these methods are capable of fabricating only the microfluidic chip itself, while the other elements (i.e., microtissues, stimulus-loading components, and results-readout sensors) require additional processes130.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [130] Yang, Q., Lian, Q. & Xu, F. Perspective: fabrication of integrated organ-on-a-chip via bioprinting. Biomicrofluidics 11, 031301 (2017). source
Not checked in the free run.
- Premisecitation
Bioprinting technology based on layer-by-layer printing has been used for tumor-on-a-chip fabrication.
“In recent years, bioprinting technology based on layer-by-layer printing has been used for tumor-on-a-chip fabrication (Fig. 3)132,145–147.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [132] Lee, H. & Cho, D.-W. One-step fabrication of an organ-on-a-chip with spatial heterogeneity using a 3D bioprinting technology. Lab a Chip 16, 2618–2625 (2016). source
Not checked in the free run.
- cites [145] Wang, Y. et al. 3D bioprinting of breast cancer models for drug resistance study. ACS Biomater. Sci. Eng. 4, 4401–4411 (2018). source
Not checked in the free run.
- cites [146] Knowlton, S., Onal, S., Yu, C. H., Zhao, J. J. & Tasoglu, S. Bioprinting for cancer research. Trends Biotechnol. 33, 504–513 (2015). source
Not checked in the free run.
- cites [147] Matai, I., Kaur, G., Seyedsalehi, A., McClinton, A. & Laurencin, C. T. Progress in 3D bioprinting technology for tissue/organ regenerative engineering. Biomaterials 226, 119536 (2020). source
Not checked in the free run.
- Premisecitation
Tumor spheroids can be used to mimic in vivo tumor microenvironments because they have the ability to provide metabolism, proliferation, and species concentration gradients similar to those found in vivo.
“It can be used to mimic in vivo tumor microenvironments because it has the ability to provide metabolism, proliferation, and species concentration gradients similar to those found in vivo175,176.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [175] Sant, S. & Johnston, P. A. The production of 3D tumor spheroids for cancer drug discovery. Drug Discov. Today 23, 27–36 (2017). source
Not checked in the free run.
- cites [176] Nunes, A. S., Barros, A. S., Costa, E. C., Moreira, A. F. & Correia, I. J. 3D tumor spheroids as in vitro models to mimic in vivo human solid tumors resistance to therapeutic drugs. Biotechnol. Bioeng. 116, 206–226 (2019). source
Not checked in the free run.
- Interpretationreasoning
The liver needs to be cocultured in a microscale cell culture simulation system (μCCA) to study the pharmaceutical aspects of anticancer drugs.
“Hence, the liver needs to be cocultured in a microscale cell culture simulation system (μCCA) to study the pharmaceutical aspects of anticancer drugs.”
Quote in the paperSubstantial claim - Premisecitation
Experimental results showed the importance of drug detection in three-dimensional tumor spheroid models.
“The experimental results showed the importance of drug detection in three-dimensional tumor spheroid models.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [178] Patra, B., Peng, C.-C., Liao, W.-H., Lee, C.-H. & Tung, Y.-C. Drug testing and flow cytometry analysis on a large number of uniform sized tumor spheroids using a microfluidic device. Sci. Rep. 6, 21061 (2016). source
Not checked in the free run.
- Premisecitation
The microvascular diameter can be used as a pathway for tumor metastasis.
“It was found that the PVN is a niche for BTSCs, and the microvascular diameter can be used as a pathway for tumor metastasis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [196] Xiao, Y. et al. Ex vivo dynamics of human glioblastoma cells in a microvasculature‐on‐a‐chip system correlates with tumor heterogeneity and subtypes. Adv. Sci. 6, 1801531 (2019). source
Not checked in the free run.
- Interpretationreasoning
Adverse reactions caused by drug metabolism increase the role of hepatocytes in organ-on-a-chip systems.
“Adverse reactions caused by drug metabolism increase the role of hepatocytes in organ-on-a-chip systems.”
Quote in the paperNot a substantial claim - Premisecitation
The liver/lung-on-a-chip platform can evaluate the toxicity of AFB1 to liver-lung crosstalk.
“Through this platform, the toxicity of AFB1 to liver–lung crosstalk could be evaluated.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- Interpretationcitation
Liver detoxification can reduce AFB1 toxicity.
“Researchers have found that when liver spheroids are present, AFB1 toxicity in the lung-on-a-chip is reduced, demonstrating that liver detoxification can reduce AFB1 toxicity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- Interpretationreasoning
By combining advanced microfabrication techniques with microfluidic and tissue engineering techniques, tumor chips can ideally reproduce specific key aspects of the tumor microenvironment, such as biochemical gradients and niche factors, dynamic cell-cell and cell-matrix interactions, and complex tissue structures comprised of tumor and stromal cells.
“By combining advanced microfabrication techniques, such as photolithography, soft lithography and bioprinting, with microfluidic and tissue engineering techniques, tumor chips can ideally reproduce specific key aspects of the tumor microenvironment, such as biochemical gradients and niche factors, dynamic cell–cell and cell–matrix interactions, and complex tissue structures comprised of tumor and”
Quote in the paperNot a substantial claim - Premisecitation
The lung-on-a-chip model can simulate multiple physiological functions of the lung.
“This model can simulate multiple physiological functions of the lung.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
- Premisecitation
In lung tumor chips, coculture of tumor cells and alveolar epithelial cells can increase cell-cell interactions.
“Moreover, through lung tumor chips, researchers also found that coculture of tumor cells and alveolar epithelial cells can increase cell–cell interactions, but endothelial cells can inhibit this effect98.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
- Premisereasoning
Microfluidic chips can create precise concentration gradients that are continuously modulated through side channels of the surrounding vascular simulation system and therefore can assess the efficiency of drug delivery.
“Microfluidic chips can create precise concentration gradients that are continuously modulated through the side channels of the surrounding vascular simulation system and therefore can assess the efficiency of drug delivery.”
Quote in the paperSubstantial claim - Premisecitation
Organ-on-a-chip technology has been used to construct a microvascular system with selective barrier function similar to that in the body to simulate the microstructure and microphysiological functions of human organs.
“Researchers have used organ-on-a-chip technology to construct a microvascular system with selective barrier function similar to that in the body to simulate the microstructure and microphysiological functions of human organs to better describe organ functions and characteristics179.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179] Wang, X., Sun, Q. & Pei, J. Microfluidic-based 3D engineered microvascular networks and their applications in vascularized microtumor models. Micromachines 9, https://doi.org/10.3390/mi9100493 (2018). source
Not checked in the free run.
- Premisecitation
Patra et al. used a microfluidic device to perform drug detection and flow cytometry analysis on a large number of uniformly sized tumor spheroids.
“Patra et al. used a microfluidic device to perform drug detection and flow cytometry analysis on a large number of uniformly sized tumor spheroids (Fig. 4a)178.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [178] Patra, B., Peng, C.-C., Liao, W.-H., Lee, C.-H. & Tung, Y.-C. Drug testing and flow cytometry analysis on a large number of uniform sized tumor spheroids using a microfluidic device. Sci. Rep. 6, 21061 (2016). source
Not checked in the free run.
- Interpretationreasoning
3D-cultured breast tumor chips can be used to predict antitumor drug responses.
“Therefore, researchers propose that 3D-cultured breast tumor chips can be used to predict antitumor drug responses211,212.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [211] Lanz, H. L. et al. Therapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform. BMC Cancer 17, 709 (2017). source
Not checked in the free run.
- cites [212] Boyle, P. Triple-negative breast cancer: epidemiological considerations and recommendations. Ann. Oncol. 23, vi7–vi12 (2012). source
Not checked in the free run.
- Premisecitation
The liver/lung-on-a-chip platform can evaluate cell viability by observing ATP content and the number of apoptotic necrotic cells.
“This platform can evaluate cell viability by observing the content of adenosine triphosphate (ATP) and the number of apoptotic necrotic cells.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- Premisecitation
A 3D brain tumor chip with PEGDA hydrogel as a carrier can be used as a glioma chip model for drug screening and release tests.
“They injected mepitastatin and irinotecan into the cells, and the results showed that this model can be used as a glioma chip model for drug screening and release tests.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] Fan, Y., Nguyen, D. T., Akay, Y., Xu, F. & Akay, M. Engineering a brain cancer chip for high-throughput drug screening. Sci. Rep. 6, 25062 (2016). source
Not checked in the free run.
- Premisecitation
A 3D bone chip with mineralized collagen bone tissue growing naturally has been reported.
“There is a report of a 3D bone chip with mineralized collagen bone tissue growing naturally (Fig. 6a)213.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [213] Hao, S. et al. A spontaneous 3D bone-on-a-chip for bone metastasis study of breast cancer cells. Small 14, e1702787 (2018). source
Not checked in the free run.
- Premisereasoning
Multiorgan-on-a-chip systems were developed to evaluate the efficacy and off-target toxicity of anticancer therapeutics.
“To solve this problem, researchers developed multiorgan-on-a-chip systems to evaluate the efficacy and off-target toxicity of anticancer therapeutics.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [102] Sun, W. et al. Organ-on-a-chip for cancer and immune organs modeling. Adv. Healthc. Mater. 8, e1801363 (2019). source
Not checked in the free run.
- cites [184] Cong, Y. et al. Drug toxicity evaluation based on organ-on-a-chip technology: a review. Micromachines 11, 381 (2020). source
Not checked in the free run.
- Premisecitation
Sung's group proposed a 3D microfluidic model of breast cancer invasion using surface tension pumping to achieve the sequential loading of cells at different time points.
“Based on spheroids, Sung’s group proposed a 3D microfluidic model of breast cancer invasion using surface tension pumping to achieve the sequential loading of cells at different time points177.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [177] Sung, K. E. et al. Transition to invasion in breast cancer: a microfluidic in vitro model enables examination of spatial and temporal effects. Integr. Biol. 3, 439–450 (2011). source
Not checked in the free run.
- Interpretationreasoning
The reduction in lung breathing movement results in positive feedback that promotes tumor cell growth and invasion.
“As a result, researchers believe that tumor cell growth fills the alveolar space and reduces lung breathing movement, which results in positive feedback and promotes tumor cell growth and invasion.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
- Premisecitation
A bone metastasis model of breast tumor cells was established based on the 3D bone chip.
“Based on this chip, a bone metastasis model of breast tumor cells was established.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [213] Hao, S. et al. A spontaneous 3D bone-on-a-chip for bone metastasis study of breast cancer cells. Small 14, e1702787 (2018). source
Not checked in the free run.
- Premisecitation
The perivascular niche (PVN) is a niche for brain tumor stem-like cells (BTSCs).
“It was found that the PVN is a niche for BTSCs, and the microvascular diameter can be used as a pathway for tumor metastasis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [196] Xiao, Y. et al. Ex vivo dynamics of human glioblastoma cells in a microvasculature‐on‐a‐chip system correlates with tumor heterogeneity and subtypes. Adv. Sci. 6, 1801531 (2019). source
Not checked in the free run.
- Premisereasoning
Microfluidic organ-chip technology is used to study the formation of tumor blood vessels.
“therefore, the microfluidic technology of organ chips is also used to study the formation of tumor blood vessels.”
Quote in the paperSubstantial claim- Rests on an assumption: Tumor blood vessels have a great effect on the occurrence and development of tumors.
- Premisereasoning
Nanomedicine can be effectively delivered in a gradient diffusion manner.
“It has been verified that nanomedicine can be effectively delivered in a gradient diffusion manner.”
Quote in the paperSubstantial claim - Interpretationreasoning
By reproducing the dynamics of multiorgan interactions, multiorgan-on-a-chip systems can be used to study various dynamics of diseases and drug activities in mechanistic detail.
“By reproducing the dynamics of multiorgan interactions, multiorgan-on-a-chip systems can be used to study various dynamics of diseases and drug activities in mechanistic detail.”
Quote in the paperSubstantial claim - Premisecitation
The microvascularized colorectal-tumor-on-a-chip model was developed to investigate sprouting formation and drug screening applications.
“The microvascularized colorectal-tumor-on-a-chip model was developed to investigate sprouting formation and drug screening applications.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [210] Carvalho, M. R. et al. Colorectal tumor-on-a-chip system: a 3D tool for precision onco-nanomedicine. Sci. Adv. 5, eaaw1317 (2019). source
Not checked in the free run.
- Premisecitation
Endothelial cells can inhibit the increase in cell-cell interactions caused by coculture of tumor cells and alveolar epithelial cells.
“Moreover, through lung tumor chips, researchers also found that coculture of tumor cells and alveolar epithelial cells can increase cell–cell interactions, but endothelial cells can inhibit this effect98.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
- Premisecitation
In a glioma-related microfluidic device, increasing colchicine concentration or treatment time causes significant changes in rat C6 glioma cell morphology and death rate.
“They observed significant changes in cell morphology and death rate upon increasing colchicine concentration or treatment time.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [198] Liu, W. et al. Assay of glioma cell responses to an anticancer drug in a cell-based microfluidic device. Microfluid. Nanofluid. 9, 717–725 (2010). source
Not checked in the free run.
- Premisecitation
The drug response of breast tumor cells is weakened in 3D culture compared with 2D culture.
“The researchers compared the effects of several antitumor drugs, such as paclitaxel, olaparib, and cisplatin, in 2D- and 3D-cultured breast tumor cells and found that the drug response was weakened in 3D-cultured tumor cells.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [211] Lanz, H. L. et al. Therapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform. BMC Cancer 17, 709 (2017). source
Not checked in the free run.
- cites [212] Boyle, P. Triple-negative breast cancer: epidemiological considerations and recommendations. Ann. Oncol. 23, vi7–vi12 (2012). source
Not checked in the free run.
- Premisecitation
When liver spheroids are present, AFB1 toxicity in the lung-on-a-chip is reduced.
“Researchers have found that when liver spheroids are present, AFB1 toxicity in the lung-on-a-chip is reduced, demonstrating that liver detoxification can reduce AFB1 toxicity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- Premisecitation
In the Satoh liver-tumor model, proliferation of HCT-116 cancer cells was inhibited by capecitabine and its metabolite 5-fluorouracil.
“In this model, the proliferation of HCT-116 cancer cells was inhibited by capecitabine (CAP) and its metabolite 5-fluorouracil (5-fu).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Satoh, T. et al. A multi-throughput multi-organ-on-a-chip system on a plate formatted pneumatic pressure-driven medium circulation platform. Lab a Chip 18, 115–125 (2018). source
Not checked in the free run.
- Premisecitation
Compared with traditional PDMS chip model, organ chip using PMMA has more reliable cytotoxicity results.
“Compared with the traditional polydimethylsiloxane (PDMS) chip model, the organ chip using PMMA has more reliable cytotoxicity results, which has important research applications in drug screening.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
- Premisereasoning
An in vitro 3D layer-by-layer model can be integrated with the blood vascular system to build blood capillary models used for assessing drug efficacies against pancreatic cancer cells, including hematogenous metastases of MIA PaCa-2 and lymphogenous metastases of BxPC3.
“This in vitro 3D layer-by-layer model could be integrated with the blood vascular system to build blood capillary models, which are used for assessing the efficacies of different drugs against pancreatic cancer cells, such as the hematogenous metastases of MIA PaCa-2 pancreatic cancer cells and the lymphogenous metastases of BxPC3 pancreatic cancer cells.”
Quote in the paperSubstantial claim - Premisecitation
Ma et al. established a two-chamber (3D-mPTC) tissue model based on three-dimensional microscale perfusion, combined with cytotoxicity of liver metabolism anticancer drugs for detection.
“Ma et al. established a two-chamber (3D-mPTC) tissue model based on three-dimensional microscale perfusion in early research, which was combined with the cytotoxicity of liver metabolism anticancer drugs for detection, and realized the most basic organ chip model (Fig. 7b)219.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [219] Ma, L. et al. Towards personalized medicine with a three-dimensional micro-scale perfusion-based two-chamber tissue model system. Biomaterials 33, 4353–4361 (2012). source
Not checked in the free run.
- Premisecitation
A vascularized MSC microenvironment provided a suitable platform for pancreatic cancer cell growth.
“This vascularized MSC microenvironment provided a suitable platform for pancreatic cancer cell growth.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [217] Mao, M. et al. Human-on-leaf-chip: a biomimetic vascular system integrated with chamber-specific organs. Small 16, 2000546 (2020). source
Not checked in the free run.
- Premisecitation
Gervais et al. made a simple microfluidic platform that can reliably trap samples to incubate eight different types of microdissected tissues in a low-shear stress environment.
“Gervais et al. made use of a simple microfluidic platform that can reliably trap samples to incubate eight different types of microdissected tissues (MDTs) in a low-shear stress environment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [121] Astolfi, M. et al. Micro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy. Lab a Chip 16, 312–325 (2016). source
Not checked in the free run.
- Premisecitation
Hickman et al. used a pumpless 4-organ system (liver, cardiac, neuronal, and muscle) to evaluate human response to five different drugs for 14 days.
“Hickman et al. took advantage of a pumpless 4-organ system (liver, cardiac, neuronal, and muscle) to evaluate the human response to five different drugs for 14 days.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [229] Oleaga, C. et al. Multi-organ toxicity demonstration in a functional human in vitro system composed of four organs. Sci. Rep. 6, 20030 (2016). source
Not checked in the free run.
- Premisecitation
Through the Gervais platform, MDT viability was analyzed by confocal microscopy and flow cytometry, providing information on chemosensitivity testing and drug response.
“Through this platform, the researchers analyzed MDT viability by confocal microscopy and flow cytometry, providing information on chemosensitivity testing and drug response (Fig. 8a)121.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [121] Astolfi, M. et al. Micro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy. Lab a Chip 16, 312–325 (2016). source
Not checked in the free run.
- Premisecitation
Skardal's group demonstrated a 2-organoid metastasis-on-a-chip platform in which CRC cells from colon organoids diffuse into circulation and settle on downstream liver organoids.
“Skardal’s group demonstrated the utility of a 2-organoid metastasis-on-a-chip (MOC) platform224. By using microfluidics to provide circulating flow through the organoid system, tumor cells grow in the primary focus and enter the circulation, with the result that CRC cells of the colon organoids diffuse into the circulation, and then the transferred cells settle on the downstream liver organoids.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [224] Skardal, A., Devarasetty, M., Forsythe, S., Atala, A. & Soker, S. A reductionist metastasis‐on‐a‐chip platform for in vitro tumor progression modeling and drug screening. Biotechnol. Bioeng. 113, 2020–2032 (2016). source
Not checked in the free run.
- Premisecitation
Cells in the spheroid-based 3D model exhibit higher drug resistance during drug testing than cells in the monolayer model.
“Compared with those in the monolayer model, the cells in the spheroid-based 3D model exhibit higher drug resistance during drug testing, and the 3D model is closer to the chemical environment of native tissues215.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [215] Wen, Z. et al. A spheroid-based 3-D culture model for pancreatic cancer drug testing, using the acid phosphatase assay. Braz. J. Med. Biol. Res. 46, 634–642 (2013). source
Not checked in the free run.
- Interpretationcitation
Developing pancreatic tumor-on-a-chip systems for in vitro experiments is essential for enhancing pancreatic drug screening efficiency before animal model testing and clinical trials.
“Since pancreatic cancers are invasive solid tumors with hypovascular structures and extensive fibrosis214, developing pancreatic tumor-on-a-chip systems for in vitro experiments is essential for enhancing pancreatic drug screening efficiency before animal model testing and clinical trials.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [214] Jiang, H. et al. Targeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy. Nat. Med. 22, 851–860 (2016). source
Not checked in the free run.
- Premisecitation
The same group developed a multisite metastasis-on-a-chip platform to assess metastatic preference of cancer cells.
“They developed a multisite metastasis-on-a-chip platform to assess the metastatic preference of cancer cells117.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [117] Aleman, J. & Skardal, A. A multi-site metastasis-on-a-chip microphysiological system for assessing metastatic preference of cancer cells. Biotechnol. Bioeng. 116, 936–944, https://doi.org/10.1002/bit.26871 (2019). source
Not checked in the free run.
- Premisecitation
This Hickman technology provided a novel tool to improve predictive ability of preclinical efficacy/toxicity studies.
“This technology provided a novel tool to improve the predictive ability of preclinical efficacy/toxicity studies229.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [229] Oleaga, C. et al. Multi-organ toxicity demonstration in a functional human in vitro system composed of four organs. Sci. Rep. 6, 20030 (2016). source
Not checked in the free run.
- Premisecitation
Wang's group used a multiorgan-on-a-chip platform consisting of one upstream lung and three downstream brain, bone, and liver organs to simulate lung cancer metastasis to brain, bone, and liver.
“Wang’s group took advantage of another multiorgan-on-a-chip platform to study lung cancer metastasis (Fig. 7e)225. The system consists of four organs: one upstream lung and three downstream parallel brain, bone, and liver organs. This model simulated the metastasis of lung cancer to the brain, bone, and liver.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [225] Xu, Z. et al. Design and construction of a multi-organ microfluidic chip mimicking the in vivo microenvironment of lung cancer metastasis. ACS Appl. Mater. Interfaces 8, 25840–25847 (2016). source
Not checked in the free run.
- Premisecitation
PMMA organ chips have been demonstrated to show more reliable cytotoxicity results for vincristine using human lung adenocarcinoma cells.
“PMMA organ chips have been successfully demonstrated to show more reliable cytotoxicity results for vincristine using human lung adenocarcinoma cells.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
- Premiseown data
In a 3D photopatterning chip with CRC organoids and downstream liver, lung, and endothelial structures, HCT-116 CRC cells preferentially enter the liver and lung structures under circulating flow.
“In this system, under the circulating flow of liquid, it is found through fluorescence imaging tracking that HCT-116 CRC cells preferentially enter the liver and lung structures, which are the corresponding organs with the most CRC metastasis in human patients.”
Quote in the paperSubstantial claim - Premisereasoning
Although culture of a single cell type can mimic some aspects of the tissue microenvironment on a chip, it is usually not enough to produce organ-like functions.
“Therefore, although the culture of a single cell type can mimic some aspects of the tissue microenvironment on a chip, it is usually not enough to produce organ-like functions.”
Quote in the paperSubstantial claim- Rests on an assumption: The tissue itself is composed of different cell types.
- Premisecitation
Toh et al. described a microfluidic tumor-on-a-chip cell migration model incorporating a microfluidic system to understand cell intravasation.
“Toh et al. described a microfluidic tumor-on-a-chip cell migration model incorporating a microfluidic system to understand the progress of cell intravasation226.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [226] Toh, Y.-C., Raja, A., Yu, H. & Van Noort, D. A 3D microfluidic model to recapitulate cancer cell migration and invasion. Bioengineering 5, 29 (2018). source
Not checked in the free run.
- Interpretationreasoning
By building a better predictive model, organ chip model technology significantly reduces research and development costs between preclinical and human trials.
“By building a better predictive model, organ chip model technology significantly reduces research and development costs between preclinical and human trials.”
Quote in the paperNot a substantial claim - Premisecitation
In a breast cancer/liver microenvironment chip, breast cancer cells cultured in the tumor microenvironment have higher vascular porosity and tumor microenvironment permeability than blood vessels in healthy liver microenvironment.
“Compared with blood vessels in the healthy liver microenvironment, breast cancer cells cultured in the microenvironment of this model have higher vascular porosity and tumor microenvironment permeability.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Satoh, T. et al. A multi-throughput multi-organ-on-a-chip system on a plate formatted pneumatic pressure-driven medium circulation platform. Lab a Chip 18, 115–125 (2018). source
Not checked in the free run.
- cites [220] Imura, Y., Sato, K. & Yoshimura, E. Micro total bioassay system for ingested substances: assessment of intestinal absorption, hepatic metabolism, and bioactivity. Anal. Chem. 82, 9983–9988 (2010). source
Not checked in the free run.
- Premisecitation
Satoh et al. established a two-organ system model composed of liver and tumor.
“Later, Satoh et al. established a two-organ system model composed of liver and tumor9.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Satoh, T. et al. A multi-throughput multi-organ-on-a-chip system on a plate formatted pneumatic pressure-driven medium circulation platform. Lab a Chip 18, 115–125 (2018). source
Not checked in the free run.
- Interpretationcitation
The 3D bone chip model provides a new in vitro model for studying bone metastases from breast tumors.
“This model provides a new in vitro model for studying bone metastases from breast tumors213.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [213] Hao, S. et al. A spontaneous 3D bone-on-a-chip for bone metastasis study of breast cancer cells. Small 14, e1702787 (2018). source
Not checked in the free run.
- Interpretationreasoning
Tumor-on-a-chip technology has a great ability to replicate the tumor microenvironment in vitro.
“The development of tumor-on-a-chip technology has a great ability to replicate the tumor microenvironment in vitro.”
Quote in the paperSubstantial claim - Premisecitation
Diclofenac and imatinib have cytostatic effects on bone marrow.
“Diclofenac and imatinib have cytostatic effects on bone marrow.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [230] McAleer, C. W. et al. Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Sci. Transl. Med. 11, https://doi.org/10.1126/scitranslmed.aav1386 (2019). source
Not checked in the free run.
- Premisecitation
This 3D VMT platform is suitable for efficacy/toxicity screening of various tissues under more complex conditions than physiological environments.
“This 3D platform is suitable for the efficacy/toxicity screening of various tissues under more complex conditions than physiological environments.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Phan, D. T. et al. A vascularized and perfused organ-on-a-chip platform for large-scale drug screening applications. Lab a Chip 17, 511–520 (2017). source
Not checked in the free run.
- Premisecitation
The spheroid-based 3D model is closer to the chemical environment of native tissues than the monolayer model.
“Compared with those in the monolayer model, the cells in the spheroid-based 3D model exhibit higher drug resistance during drug testing, and the 3D model is closer to the chemical environment of native tissues215.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [215] Wen, Z. et al. A spheroid-based 3-D culture model for pancreatic cancer drug testing, using the acid phosphatase assay. Braz. J. Med. Biol. Res. 46, 634–642 (2013). source
Not checked in the free run.
- Premisecitation
Hickman's group found that antileukemia drugs can be tested by coculturing primary human hepatocytes and human bone marrow cell cultures of two types of cancer in a chip model.
“Subsequently, Hickman’s group found that antileukemia drugs can be tested by coculturing primary human hepatocytes and human bone marrow cell cultures of two types of cancer in a chip model (Fig. 8d)230.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [230] McAleer, C. W. et al. Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Sci. Transl. Med. 11, https://doi.org/10.1126/scitranslmed.aav1386 (2019). source
Not checked in the free run.
- Premisecitation
Vidi et al. developed a breast-on-a-chip platform consisting of a breast luminal epithelium monolayer on a semicircular acrylic support to mimic cancer mammary ducts.
“In 2014, Vidi et al. developed a breast-on-a-chip platform consisting of a breast luminal epithelium monolayer on a semicircular acrylic support to mimic cancer mammary ducts218.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [218] Vidi, P.-A. et al. Disease-on-a-chip: mimicry of tumor growth in mammary ducts. Lab a Chip 14, 172–177 (2014). source
Not checked in the free run.
- Interpretationreasoning
Due to complexity of physiological structure and microenvironment in vivo, tumor chips still face many challenges before widespread integration into practical pharmaceutical industrial and clinical applications.
“However, due to the complexity of the physiological structure and microenvironment in vivo, tumor chips still face many challenges before widespread integration of these platforms into practical pharmaceutical industrial and clinical applications:”
Quote in the paperSubstantial claim
- May combine two claims. 56
- Classified as probably not a substantial claim. 24
May combine two claims.
PremisecitationAnimal studies are hindered by animal expenses, low-throughput drug optimization and ethical controversy.
“In addition, animal studies are hindered by animal expenses, low‐throughput drug optimization and ethical controversy31–35,38.”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [31] Engelman, R. & Kerr, W. G. Autoimmunity 433–441 (Springer, 2012). source
Not checked in the free run.
- cites [32] Kang, T. H. & Kim, H. J. Farewell to animal testing: innovations on human intestinal microphysiological systems. Micromachines 7, 107 (2016). source
Not checked in the free run.
- cites [33] Hintze, K. J. et al. Broad scope method for creating humanized animal models for animal health and disease research through antibiotic treatment and human fecal transfer. Gut Microbes 5, 183–191 (2014). source
Not checked in the free run.
- cites [34] Rongvaux, A. et al. Development and function of human innate immune cells in a humanized mouse model. Nat. Biotechnol. 32, 364–372 (2014). source
Not checked in the free run.
- cites [35] Seok, J. et al. Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc. Natl Acad. Sci. USA 110, 3507–3512 (2013). source
Not checked in the free run.
- cites [38] Mak, I. W., Evaniew, N. & Ghert, M. Lost in translation: animal models and clinical trials in cancer treatment. Am. J. Transl. Res. 6, 114–118 (2014).
Not checked in the free run.
May combine two claims.
PremisecitationOrgan-on-a-chip devices possess good performance and improved recapitulation of the native microenvironment, and they allow high-throughput tests with decreased cost, ethical advantages and enhanced reproducibility.
“Organ-on-a-chip devices possess good performance and improved recapitulation of the native microenvironment, and they allow high‐throughput tests with decreased cost, ethical advantages and enhanced reproducibility47,55–57.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [47] Zhang, Y. S., Zhang, Y.-N. & Zhang, W. Cancer-on-a-chip systems at the frontier of nanomedicine. Drug Discov. Today 22, 1392–1399 (2017). source
Not checked in the free run.
- cites [55] Chan, C. Y. et al. Accelerating drug discovery via organs-on-chips. Lab a Chip 13, 4697–4710 (2013). source
Not checked in the free run.
- cites [56] Park, S. E., Georgescu, A. & Huh, D. Organoids-on-a-chip. Science 364, 960–965 (2019). source
Not checked in the free run.
- cites [57] Zhang, B., Korolj, A., Lai, B. F. L. & Radisic, M. Advances in organ-on-a-chip engineering. Nat. Rev. Mater. 3, 257–278 (2018). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn vivo tumors expand as three-dimensional multicellular masses, where inner cells have limited drug exposure, whereas cells grown in a monolayer are all well exposed to the drug.
“The reason is that in these experiments, cells are grown in a monolayer, all well exposed to the drug, while in vivo tumors expand as three-dimensional multicellular masses, where inner cells have limited drug exposure.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationTumors possess a complicated microenvironment with a dense extracellular matrix, irregular vessels, assorted stromal, immune and inflammatory cells, cancer stem cells, and limited perfusion of nutrients.
“Tumors possess a complicated microenvironment with a dense extracellular matrix (ECM), irregular vessels, assorted stromal, immune and inflammatory cells, cancer stem cells, and limited perfusion of nutrients109–112.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [109] Kim, J. Y. et al. 3D spherical microtissues and microfluidic technology for multi-tissue experiments and analysis. J. Biotechnol. 205, 24–35 (2015). source
Not checked in the free run.
- cites [110] Portillo-Lara, R. & Annabi, N. Microengineered cancer-on-a-chip platforms to study the metastatic microenvironment. Lab a Chip 16, 4063–4081 (2016). source
Not checked in the free run.
- cites [111] Maley, C. C. et al. Classifying the evolutionary and ecological features of neoplasms. Nat. Rev. Cancer 17, 605–619 (2017). source
Not checked in the free run.
- cites [112] Fetah, K. L. et al. Cancer modeling-on-a-chip with future artificial intelligence integration. Small 15, 1901985 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationOrgan chip microdevices are able to recapitulate organ-level responses to toxins, drugs, radiation, cigarette smoke, pathogens, and normal microorganisms, as well as the dependence on flow-circulating immune cells and organs to recruit specific in vitro inflammatory responses.
“Crucially, these organ chip microdevices are able to recapitulate organ-level responses to toxins79,96,97, drugs86,98, radiation99, cigarette smoke100, pathogens96, and normal microorganisms96, as well as the dependence on flow-circulating immune cells and organs to recruit specific in vitro inflammatory responses101, which are very important for preclinical drug screening and disease modeling.”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [79] Bovard, D. et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab a Chip 18, 3814–3829 (2018). source
Not checked in the free run.
- cites [96] Kim, H. J., Li, H., Collins, J. J. & Ingber, D. E. Contributions of microbiome and mechanical deformation to intestinal bacterial overgrowth and inflammation in a human gut-on-a-chip. Proc. Natl Acad. Sci. USA 113, E7–E15 (2016).
Not checked in the free run.
- cites [97] Ozkan, A., Ghousifam, N., Hoopes, P. J., Yankeelov, T. E. & Rylander, M. N. In vitro vascularized liver and tumor tissue microenvironments on a chip for dynamic determination of nanoparticle transport and toxicity. Biotechnol. Bioeng. 116, 1201–1219 (2019). source
Not checked in the free run.
- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
- cites [99] Jalili-Firoozinezhad, S. et al. Modeling radiation injury-induced cell death and countermeasure drug responses in a human gut-on-a-chip. Cell Death Dis. 9, 223 (2018). source
Not checked in the free run.
- cites [100] Benam, K. H. et al. Matched-comparative modeling of normal and diseased human airway responses using a microengineered breathing lung chip. Cell Syst. 3, 456–466.e454 (2016). source
Not checked in the free run.
- cites [101] Huh, D. et al. A human disease model of drug toxicity-induced pulmonary edema in a lung-on-a-chip microdevice. Sci. Transl. Med. 4, 159ra147 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany types of healthy and diseased tissues and organs have been constructed on microfluidic chips.
“Currently, many types of healthy and diseased tissues and organs, including microvascular obstructions, cystic fibrosis models, heart72,73, kidney74–76, liver77–79, lung79,80, pancreas, brain81–86, skin87–89, eye90,91, intestine92, and neuropsychiatric disorder models93–95, have been constructed on microfluidic chips.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 72–95
Not checked in the free run.
May combine two claims.
PremisecitationHuman lung adenocarcinoma cells cultured in the PMMA microfluidic device give more reliable results regarding the cytotoxicity of vincristine than human lung adenocarcinoma cells cultured in the PDMS device, because small molecules cannot permeate the PMMA material.
“The results of drug testing demonstrated that human lung adenocarcinoma cells cultured in the PMMA microfluidic device give more reliable results regarding the cytotoxicity of vincristine than human lung adenocarcinoma cells cultured in the polydimethylsiloxane (PDMS) device. This is because the small molecules cannot permeate the PMMA material.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationOrganoids derived from stem cells can be integrated into tumor chips, and because of the combination of the two technologies, organ-specific structures and gene expression signatures in vivo could be mimicked better than in either model alone.
“Organoids derived from these stem cells can be integrated into tumor chips, and because of the combination of the two technologies, organ-specific structures and gene expression signatures in vivo could be mimicked better than in either model alone172.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [172] Kasendra, M. et al. Development of a primary human small intestine-on-a-chip using biopsy-derived organoids. Sci. Rep. 8, 2871 (2018). source
Not checked in the free run.
May combine two claims.
PremisecitationBME/Matrigel can enable 3D tumor culture and coculture of other cells, and researchers can adjust the microenvironment to be suitable for tumors by supplementing various factors on BME/Matrigel, which can better inform the mechanism of tumor growth.
“BME/Matrigel can also enable 3D tumor culture and coculture of other cells, and researchers can adjust the microenvironment to be suitable for tumors by supplementing various factors on BME/Matrigel, which can better inform the mechanism of tumor growth169.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [169] Benton, G., Arnaoutova, I., George, J., Kleinman, H. K. & Koblinski, J. Matrigel: From discovery and ECM mimicry to assays and models for cancer research. Adv. Drug Deliv. Rev. 79-80, 3–18 (2014). source
Not checked in the free run.
- Rests on an assumption: BME/Matrigel is a biomaterial with a composition similar to that of the early conservative basement membrane, which promotes the organization of different tissue types and microtissues of different species.
- Rests on an assumption: Under similar conditions, tumor cells have high proliferation and are sometimes aggressive in BME/Matrigel, which can be used to evaluate the malignancy of tumors and explore tumor treatment methods.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningBioprinting technology has the potential to build miniaturized, multiorgan bionic pathophysiological models, accelerate the pace of research, and promote the application of technology in the medical field.
“Hence, bioprinting technology has the potential to build miniaturized, multiorgan bionic pathophysiological models, accelerate the pace of research, and promote the application of technology in the medical field.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenTumor chips can simulate the 3D microstructure and microphysiological functions of in vivo human organs/tissues, providing a better understanding of the mechanisms of tumor growth and metastasis.
“These tumor chips can simulate the 3D microstructure and microphysiological functions of in vivo human organs/tissues, providing a better understanding of the mechanisms of tumor growth and metastasis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenSoft lithography fabrication technology has the ability to change the chemistry of the substrate surface, making it a promising low-cost method for manufacturing microfluidic chips.
“It is worth mentioning that soft lithography fabrication technology has the ability to change the chemistry of the substrate surface, making it a promising low-cost method for manufacturing microfluidic chips.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningTumor models in vitro are usually under atmospheric oxygen conditions, which are not representative of the conditions in vivo, and therefore the results of these studies can be misleading.
“In contrast to the tumor growth microenvironment in vivo, tumor models in vitro are usually under atmospheric oxygen conditions, which are not representative of the conditions in vivo. Therefore, the results of these studies can be misleading.”
Quote in the paperSubstantial claim- Rests on an assumption: Oxygen tension is a key regulator of cellular behavior.
May combine two claims.
PremisecitationAlthough many tumor chips have been successfully manufactured by photolithography or related processes, they still have shortcomings, such as the need for multiple masks and a multistep photolithography process, which makes the fabrication process time-consuming and costly.
“Although many tumor chips have been successfully manufactured by photolithography or related manufacturing processes involving photolithography, they still have some shortcomings, such as the need for multiple masks and a multistep photolithography process, which makes the fabrication process time-consuming and costly.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [130] Yang, Q., Lian, Q. & Xu, F. Perspective: fabrication of integrated organ-on-a-chip via bioprinting. Biomicrofluidics 11, 031301 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGelatin is a collagen-derived natural biopolymer that is widely used in drug transport models and tissue engineering due to its cellular response characteristics and ability to deliver a wide range of biomolecules.
“Gelatin is a collagen-derived natural biopolymer. Due to its cellular response characteristics and the ability to deliver a wide range of biomolecules, it is widely used in drug transport models and tissue engineering165.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [165] Hoch, E., Hirth, T., Tovar, G. E. M. & Borchers, K. Chemical tailoring of gelatin to adjust its chemical and physical properties for functional bioprinting. J. Mater. Chem. B 1, 5675–5685 (2013). source
Not checked in the free run.
- Rests on an assumption: Gelatin can promote cell growth and polymerize with proteins, growth factor nucleotides, polysaccharides and other polyionic complexes, and has broad prospects for drug transport models due to controlled sustained and/or targeted release of bioactive molecules.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMultiorgan-on-a-chip systems that include the interactions of cell cocultures have shown great potential in screening anticancer drugs and cancer therapies.
“Multiorgan-on-a-chip systems that include the interactions of cell cocultures have shown great potential in screening anticancer drugs and cancer therapies.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationChips based on microfluidics can be designed to realize oxygen gradients with high spatial and temporal resolution, which can be used to simulate the physiological effects of oxygen on tumor progression and metastasis.
“Chips based on microfluidics can be designed to realize oxygen gradients with high spatial and temporal resolution, which can be used to simulate the physiological effects of oxygen on tumor progression and metastasis127,128.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [127] Chen, Y.-A. et al. Generation of oxygen gradients in microfluidic devices for cell culture using spatially confined chemical reactions. Lab a Chip 11, 3626–3633 (2011). source
Not checked in the free run.
- cites [128] Brennan, M. D., Rexius-Hall, M. L., Elgass, L. J. & Eddington, D. T. Oxygen control with microfluidics. Lab a Chip 14, 4305–4318 (2014). source
Not checked in the free run.
May combine two claims.
PremisecitationA bioprinted blood vessel network can imitate these abnormalities, which could be further used to test and compare the behavior of healthy and abnormal blood vessels under different conditions and treatments.
“A bioprinted blood vessel network can imitate these abnormalities, which could be further used to test and compare the behavior of healthy and abnormal blood vessels under different conditions and treatments162.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [162] Knowlton, S. et al. Advancing cancer research using bioprinting for tumor-on-a-chip platforms. Int. J. Bioprint. 2, 3–8 (2016). source
Not checked in the free run.
- Rests on an assumption: Vascularization is very important to maintain tissue activities and can be used to separate different tissue compartments.
May combine two claims.
PremisecitationResearchers have used bacterial cellulose paper equipment to make various microchannels and have successfully established 3D paper vascularized breast tumor models.
“Researchers have used this paper equipment to make various microchannels and have successfully established 3D paper vascularized breast tumor models, resulting in the implementation of new materials for simple, low-cost models167,168.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [167] Cheng, F. et al. Generation of cost-effective paper-based tissue models through matrix-assisted sacrificial 3D printing. Nano Lett. 19, 3603–3611 (2019). source
Not checked in the free run.
- cites [168] Gao, Q., He, Y., Fu, J. Z., Liu, A. & Ma, L. Coaxial nozzle-assisted 3D bioprinting with built-in microchannels for nutrients delivery. Biomaterials 61, 203–215 (2015). source
Not checked in the free run.
- Rests on an assumption: Bacterial cellulose has good biocompatibility and cost effects, and bacterial cellulose nanofibers can be processed and dried to form a stable paper device for building models.
May combine two claims.
PremisecitationTumor-on-a-chip can be used to simulate tumor growth and expansion, angiogenesis, and progression from early to advanced lesions involving epithelial-mesenchymal transition, tumor cell invasion and metastasis.
“Tumor-on-a-chip can be used to simulate tumor growth and expansion, angiogenesis, and progression from early to advanced lesions involving epithelial–mesenchymal transition (EMT), tumor cell invasion and metastasis129.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [129] Sontheimer-Phelps, A., Hassell, B. A. & Ingber, D. E. Modelling cancer in microfluidic human organs-on-chips. Nat. Rev. Cancer 19, 65–81 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPhotocrosslinked gelatin methacrylate (GelMA) hydrogels have been used in corneal tissue engineering, peripheral nerve regeneration and cartilage structure preparation.
“In addition, photocrosslinked gelatin methacrylate (GelMA) hydrogels have been used in corneal tissue engineering, peripheral nerve regeneration and cartilage structure preparation166.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [166] Echave, M. C. et al. Recent advances in gelatin-based therapeutics. Expert Opin. Biol. Ther. 19, 773–779 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationA 3D coculture model of tumor spheroids has been developed to study different in vitro cancer types, such as lung and salivary gland cancers, as well as invasion and extravasation, as cell migration leads to infiltration and extravasation events during metastasis.
“A 3D coculture model of tumor spheroids has been developed to study different in vitro cancer types, such as lung and salivary gland cancers, as well as invasion and extravasation, as cell migration leads to infiltration and extravasation events during metastasis (Fig. 4)67,174.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [67] Rothbauer, M., Zirath, H. & Ertl, P. Recent advances in microfluidic technologies for cell-to-cell interaction studies. Lab Chip 18, 249–270 (2018). source
Not checked in the free run.
- cites [174] Swaminathan, S., Hamid, Q., Sun, W. & Clyne, A. M. Bioprinting of 3D breast epithelial spheroids for human cancer models. Biofabrication 11, 025003 (2019). source
Not checked in the free run.
May combine two claims.
InterpretationcitationTumor-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 medicine.
“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.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [14] Tsai, H.-F., Trubelja, A., Shen, A. Q. & Bao, G. Tumour-on-a-chip: microfluidic models of tumour morphology, growth and microenvironment. J. R. Soc. Interface 14, 20170137 (2017). source
Not checked in the free run.
- cites [112] Fetah, K. L. et al. Cancer modeling-on-a-chip with future artificial intelligence integration. Small 15, 1901985 (2019). source
Not checked in the free run.
- cites [117] Aleman, J. & Skardal, A. A multi-site metastasis-on-a-chip microphysiological system for assessing metastatic preference of cancer cells. Biotechnol. Bioeng. 116, 936–944, https://doi.org/10.1002/bit.26871 (2019). source
Not checked in the free run.
- cites [118] Han, B., Qu, C., Park, K., Konieczny, S. F. & Korc, M. Recapitulation of complex transport and action of drugs at the tumor microenvironment using tumor-microenvironment-on-chip. Cancer Lett. 380, 319–329 (2016). source
Not checked in the free run.
- cites [119] Kumar, V. & Varghese, S. Ex vivo tumor-on-a-chip platforms to study intercellular interactions within the tumor microenvironment. Adv. Healthc. Mater. 8, e1801198 (2019). source
Not checked in the free run.
- cites [120] Kennedy, R. et al. A patient tumour-on-a-chip system for personalised investigation of radiotherapy based treatment regimens. Sci. Rep. 9, 6327 (2019). source
Not checked in the free run.
- cites [121] Astolfi, M. et al. Micro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy. Lab a Chip 16, 312–325 (2016). source
Not checked in the free run.
- cites [122] Shirure, V. S. et al. Tumor-on-a-chip platform to investigate progression and drug sensitivity in cell lines and patient-derived organoids. Lab a Chip 18, 3687–3702 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe microvascular system provides nutrition and removes waste products from the body.
“The microvascular system plays an important role in the circulatory system, in which blood flows: the microvascular system provides nutrition and removes waste products from the body179.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179] Wang, X., Sun, Q. & Pei, J. Microfluidic-based 3D engineered microvascular networks and their applications in vascularized microtumor models. Micromachines 9, https://doi.org/10.3390/mi9100493 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenA variety of human-derived in vitro tumor-on-a-chip models have been developed for studying tumor progression characteristics such as growth, angiogenesis, metastasis, and drug response.
“A variety of human-derived in vitro tumor-on-a-chip models have been developed for studying various characteristics associated with tumor progression, such as growth, angiogenesis, metastasis, and drug response.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningTumor cell growth fills the alveolar space and reduces lung breathing movement.
“As a result, researchers believe that tumor cell growth fills the alveolar space and reduces lung breathing movement, which results in positive feedback and promotes tumor cell growth and invasion.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenUsing μCCA systems as a coculture model with liver cells can be the best candidate to research drug resistance and metastasis of cancers.
“Briefly, using μCCA systems as a coculture model with liver cells can be the best candidate to research drug resistance and metastasis of cancers.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe transwell-based cell coculture model allows cells to be cultured in a small amount of liquid and is currently used for glioma research.
“It allows cells to be cultured in a small amount of liquid and is currently used for glioma research195.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [195] Saliba, J. et al. Development of microplatforms to mimic the in vivo architecture of CNS and PNS physiology and their diseases. Genes 9, https://doi.org/10.3390/genes9060285 (2018). source
Not checked in the free run.
May combine two claims.
Premisenone givenThe tumor-on-a-chip system is usually composed of cells from a single organ, and its recombination ability is limited.
“Since the tumor-on-a-chip system is usually composed of cells from a single organ, its recombination ability is limited.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe liver/lung-on-a-chip platform can evaluate the compound toxicity of drugs and provide new ideas for future drug development.
“The liver/lung-on-a-chip platform can evaluate the compound toxicity of drugs and provide new ideas for future drug development.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe microvascular system on a chip model can be used to describe the dynamics and heterogeneity of tumor cells in vivo and represents a new way to study specific tumors.
“This model can be used to describe the dynamics and heterogeneity of tumor cells in vivo and represents a new way to study specific tumors (Fig. 6b)196.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [196] Xiao, Y. et al. Ex vivo dynamics of human glioblastoma cells in a microvasculature‐on‐a‐chip system correlates with tumor heterogeneity and subtypes. Adv. Sci. 6, 1801531 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationThe cell culture format (two-dimensional monolayer versus three-dimensional spheroid) and spheroid size play key roles in drug responses and show the advantages of connecting these two technologies in drug screening applications.
“In addition, the cell culture format (two-dimensional monolayer versus three-dimensional spheroid) and spheroid size play key roles in drug responses and show the advantages of connecting these two technologies in drug screening applications.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [178] Patra, B., Peng, C.-C., Liao, W.-H., Lee, C.-H. & Tung, Y.-C. Drug testing and flow cytometry analysis on a large number of uniform sized tumor spheroids using a microfluidic device. Sci. Rep. 6, 21061 (2016). source
Not checked in the free run.
May combine two claims.
PremisecitationThe blood vascular system can mimic the human colorectal-tumor microenvironment, reconstructing the physiological function of microvascular tissue.
“The blood vascular system can mimic the human colorectal-tumor microenvironment, which reconstructs the physiological function of microvascular tissue209.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [209] Carvalho, M. R., Reis, R. L. & Oliveira, J. M. Dendrimer nanoparticles for colorectal cancer applications. J. Mater. Chem. B 8, 1128–1138 (2020). source
Not checked in the free run.
May combine two claims.
PremisecitationCytotoxicity assays can predict the direct toxicity of a drug or the indirect toxicity to the liver or other organs caused by the liver metabolites of the drug.
“They can predict the direct toxicity of the drug itself or the indirect toxicity to the liver or other organs caused by the liver metabolites of the drug.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [188] Kashaninejad, N. et al. Organ-tumor-on-a-chip for chemosensitivity assay: a critical review. Micromachines 7, 130 (2016). source
Not checked in the free run.
May combine two claims.
PremisecitationCRC cells and HCoMECs respond to the incoming VEGF growth factor.
“CRC cells, labeled in red, and HCoMECs, in yellow, respond to the incoming VEGF growth factor.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [210] Carvalho, M. R. et al. Colorectal tumor-on-a-chip system: a 3D tool for precision onco-nanomedicine. Sci. Adv. 5, eaaw1317 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationA microfluidic platform recapitulated orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro.
“Through the platform, researchers recapitulated orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro (Fig. 5b)98.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [98] Hassell, B. A. et al. Human organ chip models recapitulate orthotopic lung cancer growth, therapeutic responses, and tumor dormancy in vitro. Cell Rep. 21, 508–516 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe trend of the target gene can be used to analyze the gene expression level.
“In addition, the trend of the target gene can be used to analyze the gene expression level.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenEndothelial cells lining the microvasculature play a key gatekeeper role in avoiding colorectal cancer.
“Endothelial cells lining in the microvasculature play a key gatekeeper role in avoiding colorectal cancer.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEmploying this device, researchers proved the relevance of tumor invasion and cell migration assays in breast cancer biology, showing good consistency in tumor invasion studies in in vivo xenograft models.
“Employing this device, the researchers proved the relevance of tumor invasion and cell migration assays in breast cancer biology, showing good consistency in tumor invasion studies in in vivo xenograft models.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [177] Sung, K. E. et al. Transition to invasion in breast cancer: a microfluidic in vitro model enables examination of spatial and temporal effects. Integr. Biol. 3, 439–450 (2011). source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe glioma-related microfluidic device research will be helpful in developing glioma-related anticancer drugs and glial cell-based biosensors for glioma detection.
“This research will be helpful in developing glioma-related anticancer drugs and for developing glial cell-based biosensors for glioma detection198.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [198] Liu, W. et al. Assay of glioma cell responses to an anticancer drug in a cell-based microfluidic device. Microfluid. Nanofluid. 9, 717–725 (2010). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe liver tumor chip could provide a platform for liver cancer treatment.
“The liver tumor chip could provide a platform for liver cancer treatment.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThere is a large difference in morphology between 2D and 3D cultures of breast tumor cells: in 2D culture, nonmalignant cells are morphologically similar to malignant cells; in 3D culture, nonmalignant breast tissue cells are polar and arranged in a tube, and malignant cells form spherical tissue.
“There is a large difference in morphology between 2D and 3D cultures of breast tumor cells. In 2D culture, nonmalignant cells are morphologically similar to malignant cells. However, in 3D culture, nonmalignant breast tissue cells of are polar and arranged in a tube, and the malignant cells form spherical tissue.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [211] Lanz, H. L. et al. Therapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform. BMC Cancer 17, 709 (2017). source
Not checked in the free run.
- cites [212] Boyle, P. Triple-negative breast cancer: epidemiological considerations and recommendations. Ann. Oncol. 23, vi7–vi12 (2012). source
Not checked in the free run.
May combine two claims.
PremisecitationA 3 μm PLGA nanofiber membrane has good controlled porosity, molecular permeability and biocompatibility and can be used to simulate the alveolar respiratory membrane.
“The 3 μm PLGA nanofiber membrane has good controlled porosity, molecular permeability and biocompatibility and can be used to simulate the alveolar respiratory membrane.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [80] Yang, X. et al. Nanofiber membrane supported lung-on-a-chip microdevice for anti-cancer drug testing. Lab a Chip 18, 486–495 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningImproved tumor modeling has great potential for studying the basic mechanisms of organ physiology and disease.
“Improved tumor modeling has great potential for studying the basic mechanisms of organ physiology and disease.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe lung cancer model has a potential role in personalized treatment of lung tumors, other clinical treatments and tissue engineering.
“It has a potential role in the personalized treatment of lung tumors, other clinical treatments and tissue engineering.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationNguyen et al. used GLYMO to bond PMMA-PETE orbital etching film, which can be used in microfluidic devices that are not permeable to small molecules and can enable reliable cytotoxicity tests.
“Nguyen et al. used (3-glycidyloxypropyl) trimethoxysilane to bond polymethyl methacrylate (PMMA) polyethylene terephthalate (PETE) orbital etching film (GLYMO), which can be used in microfluidic devices that are not permeable to small molecules and can enable reliable cytotoxicity tests, such as those for anticancer drugs (Fig. 8c)164.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationThis 2-organoid MOC model was one of the first in vitro models to simulate tumor cell metastasis, reproducing metastasis from a three-dimensional primary tissue to a three-dimensional target tissue.
“This model was one of the first in vitro models to simulate tumor cell metastasis, reproducing metastasis from a three-dimensional primary tissue to a three-dimensional target tissue.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [224] Skardal, A., Devarasetty, M., Forsythe, S., Atala, A. & Soker, S. A reductionist metastasis‐on‐a‐chip platform for in vitro tumor progression modeling and drug screening. Biotechnol. Bioeng. 113, 2020–2032 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenCompared with conventional in vitro planar cell models and in vivo animal models, tumor-on-a-chip systems can mimic the complexity of in vivo tumor masses, which are considered reliable for development of effective anticancer therapies.
“Compared with conventional in vitro planar cell models and in vivo animal models, tumor-on-a-chip systems can mimic the complexity of in vivo tumor masses, which are considered to be reliable for the development of effective anticancer therapies.”
Quote in the paperNot a substantial claim- Rests on an assumption: Tumor-on-a-chip systems recapitulate in vivo tumors to improve anticancer drug screening strategies.
May combine two claims.
PremisecitationAnti-imatinib does not affect liver vitality, and diclofenac reduces liver vitality by 30%.
“Anti-imatinib does not affect liver vitality, and diclofenac reduces liver vitality by 30%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [230] McAleer, C. W. et al. Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Sci. Transl. Med. 11, https://doi.org/10.1126/scitranslmed.aav1386 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationThe multiorgan chip system can be used for drug screening and for predicting preclinical target efficacy, metabolic conversion rate, and target off-target toxicity.
“The multiorgan chip system can be used not only for drug screening but also for predicting preclinical target efficacy, metabolic conversion rate, and target off-target toxicity228.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [228] Abaci, H. E. & Shuler, M. L. Human-on-a-chip design strategies and principles for physiologically based pharmacokinetics/pharmacodynamics modeling. Integr. Biol. 7, 383–391 (2015). source
Not checked in the free run.
May combine two claims.
PremisecitationThe bonding strength between the two substrates is sufficient for culture exchange, and even at gauge pressure higher than 135 kPa, fluid can pass through the device without leakage.
“The bonding strength between the two substrates is sufficient for culture exchange, and even at a gauge pressure higher than 135 kPa, the fluid can still pass through the device without leakage.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [164] Nguyen, T. et al. Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip 19, 3706–3713 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationThis Toh platform integrates a 3D microenvironment that plays a key role in invasiveness of cancer cells, creating a model for antimigration and anti-invasive cancer drug testing that can be multiplexed for high-throughput analysis.
“This platform integrates a 3D microenvironment that plays a key role in the invasiveness of cancer cells, creating an attractive model for antimigration and anti-invasive cancer drug testing that can be multiplexed for high-throughput analysis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [226] Toh, Y.-C., Raja, A., Yu, H. & Van Noort, D. A 3D microfluidic model to recapitulate cancer cell migration and invasion. Bioengineering 5, 29 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenA large number of tumor-on-a-chip platforms have been designed and established, simulating tumors in the lung, liver, breast, and brain.
“A large number of tumor-on-a-chip platforms have been designed and established, simulating tumors in the lung, liver, breast, and brain.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA bionic microsystem reconstructed the alveolar-capillary interface of the key function of the human lung and can produce a complex, integrated organ-level response to bacteria and inflammatory cytokines entering the alveolar space.
“Earlier, Huh et al.131 used a bionic microsystem to reconstruct the alveolar–capillary interface of the key function of the human lung. This model can produce a complex, integrated organ-level response to bacteria and inflammatory cytokines entering the alveolar space.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [131] Huh, D. et al. Reconstituting organ-level lung functions on a chip. Science 328, 1662–1668 (2010). source
Not checked in the free run.
May combine two claims.
Interpretationnone givenTumor-on-a-chip platforms are mainly applied to screen anticancer drugs and perform fundamental research on cancer metastasis to understand the biological basis of cancer.
“They are mainly applied to screen anticancer drugs and perform fundamental research on cancer metastasis to understand the biological basis of cancer.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationPhan et al. created arrayed vascularized microtumors and used them for blind-hole screening.
“Phan et al. created arrayed vascularized microtumors (VMTs) and used them for blind-hole screening (Fig. 8b)86.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86] Phan, D. T. et al. A vascularized and perfused organ-on-a-chip platform for large-scale drug screening applications. Lab a Chip 17, 511–520 (2017). source
Not checked in the free run.
May combine two claims.
PremisecitationTamoxifen reduces the activity of breast cancer cells only after producing metabolites but does not affect vulvar cancer cells.
“Tamoxifen reduces the activity of breast cancer cells only after producing metabolites but does not affect vulvar cancer cells.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [230] McAleer, C. W. et al. Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Sci. Transl. Med. 11, https://doi.org/10.1126/scitranslmed.aav1386 (2019). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningTumor-on-a-chip platforms can mimic the main in vivo TME features, exhibiting great promise as more realistic and accurate models for studying metastasis, distribution and mechanisms of tumor growth, as well as drug toxicity and therapeutic efficacy.
“Tumor-on-a-chip platforms can mimic the main in vivo TME features, exhibiting great promise as more realistic and accurate models for studying the metastasis, distribution and mechanisms of tumor growth, as well as drug toxicity and therapeutic efficacy.”
Quote in the paperSubstantial claim- Rests on an assumption: Tumor-on-a-chip systems recapitulate in vivo tumors to improve anticancer drug screening strategies.
Probably not a substantial claim: may not pass S4 (based).
PremisereasoningThe key step in replicating functions at the organ level is to combine two or more different tissue types.
“The key step in replicating the functions at the organ level is to combine two or more different tissue types.”
Quote in the paperNot a substantial claim- Rests on an assumption: An organ is a hierarchical structure composed of two or more different tissues.
May combine two claims.
PremisecitationCombined use of tamoxifen and verapamil produces nontargeted cardiac effects, manifested in reduced contractility, decreased beating frequency, and slower conduction speed but does not affect viability.
“The combined use of tamoxifen and verapamil will produce nontargeted cardiac effects, which are manifested in reduced contractility, decreased beating frequency, and slower conduction speed but do not affect viability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [230] McAleer, C. W. et al. Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Sci. Transl. Med. 11, https://doi.org/10.1126/scitranslmed.aav1386 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationThe Phan VMT platform can analyze small compound libraries, including FDA-approved compounds, and successfully identify antitumor drugs.
“They can analyze small compound libraries, including FDA-approved compounds, and successfully identify antitumor drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Phan, D. T. et al. A vascularized and perfused organ-on-a-chip platform for large-scale drug screening applications. Lab a Chip 17, 511–520 (2017). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThese models show that cell-based in vitro culture systems can be used to evaluate target efficacy and target toxicity of parent drug and its metabolites and can improve efficiency of drug evaluation in preclinical studies.
“These models show that cell-based in vitro culture systems can be used to evaluate the target efficacy and target toxicity of the parent drug and its metabolites and can improve the efficiency of drug evaluation in preclinical studies.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCompared with tumor cells cultured in traditional planar monoculture, tumor cells grown in channels have different morphologies and display different sensitivities to anticancer drugs.
“Compared with tumor cells cultured in the traditional planar monoculture method, tumor cells grown in channels have different morphologies and display different sensitivities to anticancer drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [218] Vidi, P.-A. et al. Disease-on-a-chip: mimicry of tumor growth in mammary ducts. Lab a Chip 14, 172–177 (2014). source
Not checked in the free run.
May combine two claims.
PremisecitationA pancreatic cancer model with a blood capillary structure is able to replicate cellular morphologies and reflect the death of endothelial cells during the metastasis process.
“Nishiguchi et al. investigated a pancreatic cancer model with a blood capillary structure that is able to replicate cellular morphologies and reflect the death of endothelial cells during the metastasis process216.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [216] Nishiguchi, A. et al. In vitro 3D blood/lymph-vascularized human stromal tissues for preclinical assays of cancer metastasis. Biomaterials 179, 144–155 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenAlthough tumor-on-a-chip platforms can mimic the in vivo TME and even establish a body-on-a-chip system through connections with organ-on-a-chip devices, it is difficult to simulate the various complex signal regulation responses of other nonadjacent organs in the human body to cancer, especially signals from the endocrine system or the immune system.
“Although tumor-on-a-chip platforms can mimic the in vivo TME and even establish a body-on-a-chip system through connections with organ-on-a-chip devices, it is difficult to simulate the various complex signal regulation responses of other nonadjacent organs in the human body to cancer, especially signals from the endocrine system or the immune system.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenAlthough tumor-on-a-chip platforms still face many challenges, they are promising platforms to facilitate the development of cancer therapies.
“In conclusion, although tumor-on-a-chip platforms still face many challenges, they are promising platforms to facilitate the development of cancer therapies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningA variety of candidate materials have been developed, but these devices need to be optically transparent, easily moldable, mechanically adjustable, nonreactive and economical, limiting the available candidates.
“A variety of candidate materials have been developed, but these devices need to be optically transparent, easily moldable, mechanically adjustable, nonreactive and economical, limiting the available candidates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAs an alternative to conventional preclinical models, tumor-on-a-chip platforms have the potential to improve many fields of basic research and drug development.
“As an alternative to conventional preclinical models, tumor-on-a-chip platforms have the potential to improve many fields of basic research and drug development.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningTumor-on-a-chip systems are based on esoteric microfabrication technologies, and there is a great need to explore how to rationally design microfluidic devices for precise control of the physicochemical properties of the chips.
“Tumor-on-a-chip systems are based on esoteric microfabrication technologies, and there is a great need to explore how to rationally design microfluidic devices for precise control of the physicochemical properties of the chips.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningNot all researchers or users are proficient in microfabrication facilities and related expertise; therefore, it is important to develop user-friendly on-chip systems and standardize data from different laboratories.
“Moreover, not all researchers or users are proficient in microfabrication facilities and the related expertise; therefore, it is important to develop user-friendly on-chip systems and simultaneously standardize the data from different laboratories so that researchers who are not experts can immediately use these emerging models for research and obtain meaningful data for clinical translation.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Oxygen tension is a key regulator of cellular behavior.
“To create biomimetic 3D tumor models that better encapsulate pathologic processes, several important factors in the tumor microenvironment must be considered, including oxygen tension, which is a key regulator of cellular behavior.”
The paper relies on this without support.
Vascularization is very important to maintain tissue activities and can be used to separate different tissue compartments.
“Vascularization is very important to maintain tissue activities and can be used to separate different tissue compartments.”
The paper relies on this without support.
The most widely used material for fabricating tumor-on-a-chip devices is polydimethylsiloxane (PDMS).
“The most widely used material for fabricating tumor-on-a-chip devices is polydimethylsiloxane (PDMS).”
The paper relies on this without support.
PDMS has advantages including optical transparency, breathability, biocompatibility, and flexibility, enabling continuous microscopic observation of tissue constructs for real-time evaluation of cell behavior and response to treatment.
“The advantages of PDMS include optical transparency, breathability, biocompatibility, and flexibility, enabling the continuous microscopic observation of tissue constructs for real-time evaluation of cell behavior and response to treatment.”
The paper relies on this without support.
In contrast to glass or plastic substrates, devices based on PDMS provide cells with a mechanical environment that is closer to the physical characteristics of soft tissues, possessing porosity and lower rigidity.
“In contrast to glass or plastic substrates, devices based on PDMS provide cells with a mechanical environment that is closer to the physical characteristics of soft tissues, possessing porosity and lower rigidity.”
The paper relies on this without support.
Gelatin can promote cell growth and polymerize with proteins, growth factor nucleotides, polysaccharides and other polyionic complexes, and has broad prospects for drug transport models due to controlled sustained and/or targeted release of bioactive molecules.
“Gelatin cannot only promote cell growth but also polymerize with proteins, growth factor nucleotides, polysaccharides and other polyionic complexes. This material has broad prospects for drug transport models due to the controlled sustained and/or targeted release of bioactive molecules.”
The paper relies on this without support.
Bacterial cellulose has good biocompatibility and cost effects, and bacterial cellulose nanofibers can be processed and dried to form a stable paper device for building models.
“Bacterial cellulose has the comprehensive advantages of cellulose at the nanoscale and is derived from natural sources, which have good biocompatibility and cost effects. The bacterial cellulose nanofibers are processed and dried to form a stable paper device for building models.”
The paper relies on this without support.
BME/Matrigel is a biomaterial with a composition similar to that of the early conservative basement membrane, which promotes the organization of different tissue types and microtissues of different species.
“Basement membrane extract (BME/Matrigel) is a biomaterial with a composition similar to that of the early conservative basement membrane, which promotes the organization of different tissue types and microtissues of different species.”
The paper relies on this without support.
Under similar conditions, tumor cells have high proliferation and are sometimes aggressive in BME/Matrigel, which can be used to evaluate the malignancy of tumors and explore tumor treatment methods.
“Under similar conditions, tumor cells have high proliferation and are sometimes aggressive in BME/Matrigel, which can be used to evaluate the malignancy of tumors and explore tumor treatment methods.”
The paper relies on this without support.
Tumor blood vessels have a great effect on the occurrence and development of tumors.
“Tumor blood vessels have a great effect on the occurrence and development of tumors; therefore, the microfluidic technology of organ chips is also used to study the formation of tumor blood vessels.”
The paper relies on this without support.
Lung cancer is one of the most common cancers and has a high fatality rate.
“Lung cancer is one of the most common cancers and has a high fatality rate.”
The paper relies on this without support.
Colorectal cancer is the second leading cause of cancer-related death due to the high incidence of cancer metastasis and the low cure rate of chemotherapy.
“Colorectal cancer (CRC) is the second leading cause of cancer-related death due to the high incidence of cancer metastasis and the low cure rate of chemotherapy.”
The paper relies on this without support.
In breast cancer, the frequency of bone metastases is approximately 70%.
“In breast cancer, the frequency of bone metastases is ~70%.”
The paper relies on this without support.
An organ is a hierarchical structure composed of two or more different tissues.
“An organ is a hierarchical structure composed of two or more different tissues.”
The paper relies on this without support.
The tissue itself is composed of different cell types.
“In addition, the tissue itself is composed of different cell types.”
The paper relies on this without support.
Tumor-on-a-chip systems recapitulate in vivo tumors to improve anticancer drug screening strategies.
“It is fundamental that tumor-on-a-chip systems recapitulate in vivo tumors to improve anticancer drug screening strategies.”
The paper relies on this without support.
Complex 3D organs are not well represented by monolayer cell models, the standard format for many drug screens.
“Complex 3D organs are not well represented by monolayer cell models, the standard format for many drug screens.”
The paper relies on this without support.
PDMS is the most widely used material to fabricate tumor-on-a-chip devices.
“Polydimethylsiloxane (PDMS) is the most widely used material to fabricate tumor-on-a-chip devices; however, PDMS is known to easily adsorb hydrophobic compounds, such as drugs and proteins, which may reduce effective drug concentrations and activity and can cause experimental errors, limiting its application.”
The paper relies on this without support.
PDMS easily adsorbs hydrophobic compounds, such as drugs and proteins, which may reduce effective drug concentrations and activity and can cause experimental errors.
“Polydimethylsiloxane (PDMS) is the most widely used material to fabricate tumor-on-a-chip devices; however, PDMS is known to easily adsorb hydrophobic compounds, such as drugs and proteins, which may reduce effective drug concentrations and activity and can cause experimental errors, limiting its application.”
The paper relies on this without support.
Most tumor-on-a-chip systems mimic tumors only in situ.
“Currently, most tumor-on-a-chip systems mimic tumors only in situ; thus, the mechanism of tumor cell metastasis is still unclear, particularly the reasons for the initial activation of tumor cell growth and metastasis (such as specific signaling pathways) and the role of the microenvironment in regulating this phenomenon.”
The paper relies on this without support.
The mechanism of tumor cell metastasis is still unclear, particularly the reasons for the initial activation of tumor cell growth and metastasis and the role of the microenvironment in regulating this phenomenon.
“Currently, most tumor-on-a-chip systems mimic tumors only in situ; thus, the mechanism of tumor cell metastasis is still unclear, particularly the reasons for the initial activation of tumor cell growth and metastasis (such as specific signaling pathways) and the role of the microenvironment in regulating this phenomenon.”
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?
Depending on the presence and spatial distribution of cytotoxic T cells, tumors can be distinguished into two immunophenotypes: immunologically 'hot' and 'cold' tumors.
“Depending on the presence and spatial distribution of these cytotoxic T cells, one can distinguish two immunophenotypes, namely, immunologically ‘hot’ and ‘cold’ tumors (Liu et al., 2021; Wang et al., 2023).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Liu et al., 2021
The Introduction describes immune cells as part of the tumor microenvironment, but does not classify tumors by cytotoxic T-cell presence or spatial distribution. Searches for “hot” and “cold” tumors, cytotoxic T cells, and T-cell infiltration found no passage in our copy stating the claimed two-immunophenotype distinction. (LLM, conf=0.76)
Experimental — accuracy not yet measuredExamples of immunologically 'cold' tumors include ovarian, prostate, pancreatic, glioma and some renal cell cancers, while 'hot' tumors are typically present in the liver, lung or bladder.
“Examples of immunologically ‘cold’ tumors include ovarian, prostate, pancreatic, glioma and some renal cell cancers, while ‘hot’ tumors are typically present in the liver, lung or bladder (Liu et al., 2021; Huang et al., 2022; Wang et al., 2023).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Liu et al., 2021
The Introduction discusses immune cells in the tumor microenvironment, and the Different types of tumor-on-a-chip section discusses glioma, lung, liver and pancreatic tumor models. Neither section classifies those cancers—or the other cancers named—as immunologically ‘cold’ or ‘hot.’ Searches for those classifications found no supporting passage in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measuredIn immune excluded 'cold' tumors, cytotoxic T cells accumulate around the tumor but fail to efficiently infiltrate, whereas in immune-desert 'cold' tumors, tumor-specific CD8+ T cells are completely absent from the tumor and its periphery.
“In fact, in immune excluded ‘cold’ tumors, cytotoxic T cells accumulate around the tumor but fail to efficiently infiltrate, whereas in immune-desert ‘cold’ tumors, tumor-specific CD8+ T cells are completely absent from the tumor and its periphery (Liu et al., 2021).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Liu et al., 2021
The Introduction and the section on modeling cancer invasion and metastasis discuss tumor microenvironments and tumor-cell movement, but neither describes immune-excluded or immune-desert tumors. Searches for those terms and for CD8+ T-cell infiltration found no passage in our copy supporting the claimed distinction. (LLM, conf=0.75)
Experimental — accuracy not yet measuredImmunologically 'cold' tumors are characterized by the presence of immunosuppressive cell populations such as tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs).
“Additionally, immunologically ‘cold’ tumors are characterized by the presence of immunosuppressive cell populations such as tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs) (Hegde et al., 2016; Liu et al., 2021; Guha et al., 2022).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Liu et al., 2021
The Introduction (page unavailable) says tumors contain assorted immune and inflammatory cells, but does not characterize immunologically ‘cold’ tumors or identify TAMs, MDSCs, and Tregs as their characteristic populations. Searches for ‘cold tumors,’ ‘macrophages,’ ‘regulatory T cells,’ and ‘immunosuppressive’ found no passage addressing that claim. (LLM, conf=0.74)
Experimental — accuracy not yet measuredImmunologically 'hot' tumors tend to be more responsive to ICI treatment, while immunologically 'cold' tumors rarely respond to ICI monotherapy due to the absence or exhaustion of TILs.
“While immunologically ‘hot’ tumors tend to be more responsive to ICI treatment, immunologically ‘cold’ tumors rarely respond to ICI monotherapy due to the absence or exhaustion of TILs (Liu et al. (2021); Herbst et al. (2014).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Liu et al., 2021
The Introduction discusses immune cells in the tumor microenvironment, but does not compare immunologically ‘hot’ and ‘cold’ tumors or their responses to checkpoint inhibitors. Searches for TILs, exhaustion, and ICI monotherapy found no passage in our copy addressing the claimed relationship; a checkpoint-immunotherapy study appears only in the References. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Brain-chip drug has two different names
MinorFor the brain tumor chip cited as reference 197, Table 1 lists pitavastatin, while the text says mepitastatin. Both passages pair the drug with irinotecan, indicating they describe the same experiment.
“Brain tumor chip | 197 | Glioblastoma cells (U87) | Pitavastatin Irinotecan”
“They injected mepitastatin and irinotecan into the cells”
Duplicate reference has conflicting page ranges
MinorReferences 159 and 162 give the same title, journal, volume, and year, but list different page ranges.
“159. Knowlton S Advancing cancer research using bioprinting for tumor-on-a-chip platforms Int. J. Bioprint. 2016 2 111 116”
“162. Knowlton, S. et al. Advancing cancer research using bioprinting for tumor-on-a-chip platforms. Int. J. Bioprint.2, 3–8 (2016).”
Figure 4b copyright year conflicts with its reference
MinorThe caption gives 2016 for reference 182, but the reference lists the work as published in 2019.
“Adapted with permission182. Copyright 2016, Springer Nature.”
“182. Paek J Microphysiological engineering of self-assembled and perfusable microvascular beds for the production of vascularized three-dimensional human microtissues ACS Nano 2019 13 7627 7643”
Figure 4c copyright year conflicts with its reference
MinorThe caption gives 2016 for reference 183, but the reference lists the work as published in 2014.
“Adapted with permission183. Copyright 2016, Springer Nature.”
“183. Lee H Park W Ryu H Jeon NL A microfluidic platform for quantitative analysis of cancer angiogenesis and intravasation Biomicrofluidics 2014 8 054102 054102”
Cites
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109 · see citing works
Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
Nishita, M., Park, S.-Y., Nishio, T., Kamizaki, K., Wang, Z., Tamada, K., Takumi, T., Hashimoto, R., Otani, H., Pazour, G. J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-016-0028-x · Cited by 15,947 · see citing works
Reconstituting organ-level lung functions on a chip
Huh, D., Matthews, B. D., Mammoto, A., Montoya-Zavala, M., Hsin, H. Y., & Ingber, D. E. (2010) · Science · doi:10.1126/science.1188302 · Cited by 4,250 · see citing works
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305 · see citing works
Genomic responses in mouse models poorly mimic human inflammatory diseases
Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222878110 · Cited by 3,005 · see citing works
The present and future role of microfluidics in biomedical research
Sackmann, E. K., Fulton, A. L., & Beebe, D. J. (2014) · Nature · doi:10.1038/nature13118 · Cited by 2,995 · see citing works
Influence of tumour micro-environment heterogeneity on therapeutic response
Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694 · see citing works
A 3D bioprinting system to produce human-scale tissue constructs with structural integrity
Kang, H.-W., Lee, S. J., Ko, I. K., Kengla, C., Yoo, J. J., & Atala, A. (2016) · Nature Biotechnology · doi:10.1038/nbt.3413 · Cited by 2,622 · see citing works
Clinical development success rates for investigational drugs
Hay, M., Thomas, D. W., Craighead, J. L., Economides, C., & Rosenthal, J. (2014) · Nature Biotechnology · doi:10.1038/nbt.2786 · Cited by 2,536 · see citing works
Ferlay, J., Colombet, M., Soerjomataram, I., Dyba, T., Randi, G., Bettio, M., Gavin, A., Visser, O. J., & Bray, F. (2018) · European Journal of Cancer · doi:10.1016/j.ejca.2018.07.005 · Cited by 2,479 · see citing works
Poly(dimethylsiloxane) as a Material for Fabricating Microfluidic Devices
McDonald, J. C., & Whitesides, G. M. (2002) · Accounts of Chemical Research · doi:10.1021/ar010110q · Cited by 2,463 · see citing works
Soft lithography for micro- and nanoscale patterning
Qin, D., Xia, Y., & Whitesides, G. M. (2010) · Nature Protocols · doi:10.1038/nprot.2009.234 · Cited by 2,339 · see citing works
Kim, H. J., Huh, D., Hamilton, G., & Ingber, D. E. (2012) · Lab on a Chip · doi:10.1039/c2lc40074j · Cited by 1,734 · see citing works
2D and 3D Cell Cultures - a Comparison of Different Types of Cancer Cell Cultures
Kapałczyńska, M., Kolenda, T., Przybyła, W., Zajączkowska, M., Teresiak, A., Filas, V., Ibbs, M., Bliźniak, R., Łuczewski, Ł., & Lamperska, K. (2016) · Archives of Medical Science · doi:10.5114/aoms.2016.63743 · Cited by 1,499 · see citing works
Three-dimensional bioprinting of thick vascularized tissues
Kolesky, D. B., Homan, K. A., Skylar-Scott, M. A., & Lewis, J. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521342113 · Cited by 1,492 · see citing works
Role of tumor microenvironment in tumorigenesis
Wang, M., Zhao, J., Zhang, L., Wei, F., Lian, Y., Wu, Y., Gong, Z., Zhang, S., Zhou, J., Cao, K., et al. (2017) · Journal of Cancer · doi:10.7150/jca.17648 · Cited by 1,404 · see citing works
Three-dimensional cell culture: the missing link in drug discovery
Breslin, S., & O’Driscoll, L. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2012.10.003 · Cited by 1,332 · see citing works
Organs-on-chips at the frontiers of drug discovery
Esch, E. W., Bahinski, A., & Huh, D. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4539 · Cited by 1,185 · see citing works
Progress in 3D bioprinting technology for tissue/organ regenerative engineering
Matai, I., Kaur, G., Seyedsalehi, A., McClinton, A., & Laurencin, C. T. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2019.119536 · Cited by 1,156 · see citing works
Spherical Cancer Models in Tumor Biology
Weiswald, L., Bellet, D. H., & Dangles‐Marie, V. (2015) · Neoplasia · doi:10.1016/j.neo.2014.12.004 · Cited by 1,138 · see citing works
Targeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy
Jiang, H., Hegde, S., Knolhoff, B. L., Zhu, Y., Herndon, J. M., Meyer, M. A., Nywening, T. M., Hawkins, W. G., Shapiro, I. M., Weaver, D. T., et al. (2016) · Nature Medicine · doi:10.1038/nm.4123 · Cited by 1,060 · see citing works
Lost in translation: animal models and clinical trials in cancer treatment.
(2014) · Europe PMC (PubMed Central) · Cited by 1,033 · 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
A Human Disease Model of Drug Toxicity–Induced Pulmonary Edema in a Lung-on-a-Chip Microdevice
Huh, D., Leslie, D. C., Matthews, B. D., Fraser, J. P., Jurek, S., Hamilton, G. A., Thorneloe, K. S., McAlexander, M. A., & Ingber, D. E. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004249 · Cited by 993 · see citing works
Topological-insulator-based terahertz modulator
Wang, X., Cheng, L., Wu, Y., Zhu, D., Wang, L., Zhu, J., Yang, H., & Chia, E. E. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-13701-9 · Cited by 982 · see citing works
Kim, H. J., Li, H., Collins, J. J., & Ingber, D. E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522193112 · Cited by 926 · 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
Microfluidic Bioprinting of Heterogeneous 3D Tissue Constructs Using Low‐Viscosity Bioink
Colosi, C., Shin, S. R., Manoharan, V., Massa, S., Costantini, M., Barbetta, A., Dokmeci, M. R., Dentini, M., & Khademhosseini, A. (2016) · Advanced Materials · doi:10.1002/adma.201503310 · Cited by 863 · see citing works
Three-Dimensional Cell Cultures in Drug Discovery and Development
Fang, Y., & Eglen, R. M. (2017) · SLAS Discovery · doi:10.1177/1087057117696795 · Cited by 849 · see citing works
Park, S. E., Georgescu, A., & Huh, D. (2019) · Science · doi:10.1126/science.aaw7894 · Cited by 847 · see citing works
Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer
IMAMURA, Y., MUKOHARA, T., SHIMONO, Y., FUNAKOSHI, Y., CHAYAHARA, N., TOYODA, M., KIYOTA, N., TAKAO, S., KONO, S., NAKATSURA, T., et al. (2015) · Oncology Reports · doi:10.3892/or.2015.3767 · Cited by 845 · see citing works
Development and function of human innate immune cells in a humanized mouse model
Rongvaux, A., Willinger, T., Martinek, J., Strowig, T., Gearty, S. V., Teichmann, L. L., Saito, Y., Marches, F., Halene, S., Palucka, A. K., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2858 · Cited by 789 · see citing works
In Vitro Tumor Models: Advantages, Disadvantages, Variables, and Selecting the Right Platform
Katt, M. E., Placone, A. L., Wong, A. D., Xu, Z. S., & Searson, P. C. (2016) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2016.00012 · Cited by 754 · see citing works
Development of a primary human Small Intestine-on-a-Chip using biopsy-derived organoids
Kasendra, M., Tovaglieri, A., Sontheimer-Phelps, A., Jalili-Firoozinezhad, S., Bein, A., Chalkiadaki, A., Scholl, W., Zhang, C., Rickner, H., Richmond, C. A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-21201-7 · Cited by 754 · see citing works
Biofabrication strategies for 3D in vitro models and regenerative medicine
Moroni, L., Burdick, J. A., Highley, C., Lee, S. J., Morimoto, Y., Takeuchi, S., & Yoo, J. J. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0006-y · Cited by 753 · see citing works
Nunes, A. S., Barros, A. S., Costa, E. C., Moreira, A. F., & Correia, I. J. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26845 · Cited by 721 · see citing works
Organ-on-a-chip: recent breakthroughs and future prospects
Wu, Q., Liu, J., Wang, X., Feng, L., Wu, J., Zhu, X., Wen, W., & Gong, X. (2020) · BioMedical Engineering OnLine · doi:10.1186/s12938-020-0752-0 · Cited by 704 · see citing works
Phase II and Phase III attrition rates 2011–2012
Arrowsmith, J., & Miller, P. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4090 · Cited by 697 · see citing works
Preclinical Mouse Cancer Models: A Maze of Opportunities and Challenges
Day, C.-P., Merlino, G., & Van Dyke, T. (2015) · Cell · doi:10.1016/j.cell.2015.08.068 · Cited by 676 · see citing works
US Emergency Department Visits for Outpatient Adverse Drug Events, 2013-2014
Shehab, N., Lovegrove, M. C., Geller, A. I., Rose, K. O., Weidle, N. J., & Budnitz, D. S. (2016) · JAMA · doi:10.1001/jama.2016.16201 · Cited by 664 · 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
Vascularization and Angiogenesis in Tissue Engineering: Beyond Creating Static Networks
Rouwkema, J., & Khademhosseini, A. (2016) · Trends in Biotechnology · doi:10.1016/j.tibtech.2016.03.002 · Cited by 651 · see citing works
Coaxial nozzle-assisted 3D bioprinting with built-in microchannels for nutrients delivery
Gao, Q., He, Y., Fu, J., Liu, A., & Ma, L. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.05.031 · Cited by 633 · see citing works
Multi-tissue interactions in an integrated three-tissue organ-on-a-chip platform
Skardal, A., Murphy, S. V., Devarasetty, M., Mead, I., Kang, H.-W., Seol, Y.-J., Shrike Zhang, Y., Shin, S.-R., Zhao, L., Aleman, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-08879-x · Cited by 623 · see citing works
Why are tumour blood vessels abnormal and why is it important to know?
Nagy, J. A., Chang, S.-H., Dvorak, A. M., & Dvorak, H. F. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6604929 · Cited by 611 · see citing works
Biomolecular gradients in cell culture systems
Keenan, T. M., & Folch, A. (2008) · Lab Chip · doi:10.1039/b711887b · Cited by 596 · see citing works
Triple-negative breast cancer: epidemiological considerations and recommendations
Boyle, P. (2012) · Annals of Oncology · doi:10.1093/annonc/mds187 · Cited by 593 · see citing works
Zhang, B., Montgomery, M., Chamberlain, M. D., Ogawa, S., Korolj, A., Pahnke, A., Wells, L. A., Massé, S., Kim, J., Reis, L., et al. (2016) · Nature Materials · doi:10.1038/nmat4570 · Cited by 593 · see citing works
Microcontact Printing of Proteins
Bernard, A., Renault, J. P., Michel, B., et al. (2000) · Advanced Materials · doi:10.1002/1521-4095(200007)12:14 · Cited by 558 · see citing works
Musah, S., Mammoto, A., Ferrante, T. C., Jeanty, S. S. F., Hirano-Kobayashi, M., Mammoto, T., Roberts, K., Chung, S., Novak, R., Ingram, M., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0069 · Cited by 550 · see citing works
Tumor Microenvironment Complexity: Emerging Roles in Cancer Therapy
Swartz, M. A., Iida, N., Roberts, E. W., Sangaletti, S., Wong, M. H., Yull, F. E., Coussens, L. M., & DeClerck, Y. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-0122 · Cited by 542 · see citing works
(2003) · PubMed · Cited by 523 · see citing works
Prasad, V. K., & Mailankody, S. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.3601 · Cited by 503 · see citing works
Hoarau-Véchot, J., Rafii, A., Touboul, C., & Pasquier, J. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19010181 · Cited by 489 · see citing works
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
Edington, C. D., Chen, W. L. K., Geishecker, E., Kassis, T., Soenksen, L. R., Bhushan, B. M., Freake, D., Kirschner, J., Maass, C., Tsamandouras, N., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-22749-0 · Cited by 487 · see citing works
Herland, A., van der Meer, A. D., Fitzgerald, E. A., Park, T., Sleeboom, J. J. F., & Ingber, D. E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150360 · Cited by 481 · see citing works
Matrigel: From discovery and ECM mimicry to assays and models for cancer research
Benton, G., Arnaoutova, I., George, J., Kleinman, H. K., & Koblinski, J. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.06.005 · Cited by 477 · see citing works
Hassell, B. A., Goyal, G., Lee, E., Sontheimer-Phelps, A., Levy, O., Chen, C. S., & Ingber, D. E. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.043 · Cited by 467 · see citing works
Bone marrow–on–a–chip replicates hematopoietic niche physiology in vitro
Torisawa, Y., Spina, C. S., Mammoto, T., Mammoto, A., Weaver, J. C., Tat, T., Collins, J. J., & Ingber, D. E. (2014) · Nature Methods · doi:10.1038/nmeth.2938 · Cited by 452 · see citing works
Perfused multiwell plate for 3D liver tissue engineering
Domanský, K., Inman, W., Serdy, J., Dash, A., Lim, M. H. M., & Griffith, L. G. (2009) · Lab on a Chip · doi:10.1039/b913221j · Cited by 446 · see citing works
Multi-Organ toxicity demonstration in a functional human in vitro system composed of four organs
Oleaga, C., Bernabini, C., Smith, A. S. T., Srinivasan, B., Jackson, M., McLamb, W., Platt, V., Bridges, R., Cai, Y., Santhanam, N., et al. (2016) · Scientific Reports · doi:10.1038/srep20030 · Cited by 442 · see citing works
Maoz, B. M., Herland, A., Fitzgerald, E. A., Grevesse, T., Vidoudez, C., Pacheco, A. R., Sheehy, S. P., Park, T., Dauth, S., Mannix, R. J., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4226 · Cited by 428 · see citing works
Bioprinting Technology: A Current State-of-the-Art Review
Dababneh, A. B., & Ozbolat, I. T. (2014) · Journal of Manufacturing Science and Engineering · doi:10.1115/1.4028512 · Cited by 427 · see citing works
Classifying the evolutionary and ecological features of neoplasms
Maley, C. C., Aktipis, A., Graham, T. A., Sottoriva, A., Boddy, A. M., Janiszewska, M., Silva, A. S., Gerlinger, M., Yuan, Y., Pienta, K. J., et al. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2017.69 · Cited by 423 · see citing works
Brown, J. A., Pensabene, V., Markov, D. A., Allwardt, V., Neely, M. D., Shi, M., Britt, C. M., Hoilett, O. S., Yang, Q. K., Brewer, B. M., et al. (2015) · Biomicrofluidics · doi:10.1063/1.4934713 · Cited by 414 · see citing works
The production of 3D tumor spheroids for cancer drug discovery
Sant, S., & Johnston, P. A. (2017) · Drug Discovery Today: Technologies · doi:10.1016/j.ddtec.2017.03.002 · Cited by 404 · see citing works
Key cost drivers of pharmaceutical clinical trials in the United States
Sertkaya, A., Wong, H.-H., Jessup, A., & Beleche, T. (2016) · Clinical Trials · doi:10.1177/1740774515625964 · Cited by 401 · see citing works
Chen, 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
Lee, H., & Cho, D.-W. (2016) · Lab on a Chip · doi:10.1039/c6lc00450d · Cited by 363 · see citing works
Bioprinting for cancer research
Knowlton, S., Onal, S., Yu, C. H., Zhao, J. J., & Tasoglu, S. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.06.007 · Cited by 361 · see citing works
Skin-on-a-chip model simulating inflammation, edema and drug-based treatment
Wufuer, M., Lee, G., Hur, W., Jeon, B., Kim, B. J., Choi, T. H., & Lee, S. (2016) · Scientific Reports · doi:10.1038/srep37471 · Cited by 356 · see citing works
Kidney-on-a-Chip technology for drug-induced nephrotoxicity screening
Wilmer, M. J., Ng, C. P., Lanz, H. L., Vulto, P., Suter-Dick, L., & Masereeuw, R. (2016) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.11.001 · Cited by 354 · see citing works
Park, J., Lee, B. K., Jeong, G. S., Hyun, J. K., Lee, C. J., & Lee, S. (2014) · Lab on a Chip · doi:10.1039/c4lc00962b · Cited by 351 · see citing works
Zhang, C., Zhao, Z., Abdul Rahim, N. A., van Noort, D., & Yu, H. (2009) · Lab on a Chip · doi:10.1039/b915147h · Cited by 340 · 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
Xu, F., Celli, J., Rizvi, I., Moon, S., Hasan, T., & Demirci, U. (2011) · Biotechnology Journal · doi:10.1002/biot.201000340 · Cited by 337 · see citing works
Tumour-on-a-chip provides an optical window into nanoparticle tissue transport
Albanese, A., Lam, A. K., Sykes, E. A., Rocheleau, J. V., & Chan, W. C. W. (2013) · Nature Communications · doi:10.1038/ncomms3718 · Cited by 330 · 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
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
Benam, K. H., Novak, R., Nawroth, J., Hirano-Kobayashi, M., Ferrante, T. C., Choe, Y., Prantil-Baun, R., Weaver, J. C., Bahinski, A., Parker, K. K., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.003 · Cited by 309 · see citing works
Trends in clinical success rates
Smietana, K., Siatkowski, M., & Møller, M. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.85 · Cited by 277 · see citing works
Recent advances in microfluidic technologies for cell-to-cell interaction studies
Rothbauer, M., Zirath, H., & Ertl, P. (2018) · Lab on a Chip · doi:10.1039/c7lc00815e · Cited by 277 · see citing works
Animal models and therapeutic molecular targets of cancer: utility and limitations
Cekanova, M., & Rathore, K. (2014) · Drug Design, Development and Therapy · doi:10.2147/dddt.s49584 · Cited by 274 · see citing works
Personalised organs-on-chips: functional testing for precision medicine
van den Berg, A., Mummery, C. L., Passier, R., & van der Meer, A. D. (2019) · Lab on a Chip · doi:10.1039/c8lc00827b · Cited by 270 · see citing works
Mechanotransduction of fluid stresses governs 3D cell migration
Polacheck, W. J., German, A. E., Mammoto, A., Ingber, D. E., & Kamm, R. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316848111 · Cited by 265 · see citing works
Xu, Z., Li, E., Guo, Z., Yu, R., Hao, H., Xu, Y., Sun, Z., Li, X., Lyu, J., & Wang, Q. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b08746 · Cited by 264 · see citing works
Cisplatin crosslinked pH-sensitive nanoparticles for efficient delivery of doxorubicin
Li, M., Tang, Z., Lv, S., Song, W., Hong, H., Jing, X., Zhang, Y., & Chen, X. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.01.018 · Cited by 262 · see citing works
Hoch, E., Hirth, T., Tovar, G. E. M., & Borchers, K. (2013) · Journal of Materials Chemistry B · doi:10.1039/c3tb20745e · Cited by 256 · see citing works
Stock, K., Estrada, M. F., Vidic, S., Gjerde, K., Rudisch, A., Santo, V. E., Barbier, M., Blom, S., Arundkar, S. C., Selvam, I., et al. (2016) · Scientific Reports · doi:10.1038/srep28951 · Cited by 253 · see citing works
Microtechnology-based methods for organoid models
Velasco, V., Shariati, S. A., & Esfandyarpour, R. (2020) · Microsystems & Nanoengineering · doi:10.1038/s41378-020-00185-3 · Cited by 253 · see citing works
3D bioprinting of BM-MSCs-loaded ECM biomimetic hydrogels for <i>in vitro</i> neocartilage formation
Costantini, M., Idaszek, J., Szöke, K., Jaroszewicz, J., Dentini, M., Barbetta, A., Brinchmann, J. E., & Święszkowski, W. (2016) · Biofabrication · doi:10.1088/1758-5090/8/3/035002 · Cited by 250 · see citing works
Organs-on-a-Chip Module: A Review from the Development and Applications Perspective
Sosa‐Hernández, J. E., Villalba‐Rodríguez, A. M., Romero‐Castillo, K. D., Aguilar-Aguila-Isaías, M. A., García-Reyes, I. E., Hernández‐Antonio, A., Ahmed, I., Sharma, A. K., Parra‐Saldívar, R., & Iqbal, H. M. N. (2018) · Micromachines · doi:10.3390/mi9100536 · Cited by 245 · see citing works
Nanofiber membrane supported lung-on-a-chip microdevice for anti-cancer drug testing
Yang, X., Li, K., Zhang, X., Liu, C., Guo, B., Wen, W., & Gao, X. (2018) · Lab on a Chip · doi:10.1039/c7lc01224a · Cited by 244 · see citing works
Abaci, H. E., & Shuler, M. L. (2015) · Integrative Biology · doi:10.1039/c4ib00292j · Cited by 243 · see citing works
Paek, J., Park, S. E., Lu, Q., Park, K.-T., Cho, M., Oh, J. M., Kwon, K. W., Yi, Y.-S., Song, J. W., Edelstein, H. I., et al. (2019) · ACS Nano · doi:10.1021/acsnano.9b00686 · Cited by 238 · see citing works
Skardal, A., Devarasetty, M., Forsythe, S., Atala, A., & Soker, S. (2016) · Biotechnology and Bioengineering · doi:10.1002/bit.25950 · Cited by 230 · see citing works
Colorectal tumor-on-a-chip system: a 3D tool for precision onco-nanomedicine
Carvalho, M. R., Barata, D., Teixeira, L. M., Giselbrecht, S., Reis, R. L., Oliveira, J. M., Truckenmüller, R., & Habibovic, P. (2019) · Science Advances · doi:10.1126/sciadv.aaw1317 · Cited by 230 · see citing works
Microfluidic 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
Miniaturized iPS-Cell-Derived Cardiac Muscles for Physiologically Relevant Drug Response Analyses
Huebsch, N., Loskill, P., Deveshwar, N., Spencer, C. I., Judge, L. M., Mandegar, M. A., Fox, C. B., Mohamed, T., Ma, Z., Mathur, A., et al. (2016) · Scientific Reports · doi:10.1038/srep24726 · Cited by 227 · see citing works
Sung, 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
Tsamandouras, N., Chen, W. L. K., Edington, C. D., Stokes, C. L., Griffith, L. G., & Cirit, M. (2017) · The AAPS Journal · doi:10.1208/s12248-017-0122-4 · Cited by 222 · 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
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
Bianchi, F., Klooster, J. S. V. ’., Ruiz, S. J., Luck, K., Pols, T., Urbatsch, I. L., & Poolman, B. (2016) · Scientific Reports · doi:10.1038/srep31443 · Cited by 219 · see citing works
Engineering a Brain Cancer Chip for High-throughput Drug Screening
Fan, Y., Nguyen, D. T., Akay, Y., Xu, F., & Akay, M. (2016) · Scientific Reports · doi:10.1038/srep25062 · Cited by 216 · see citing works
Patra, B., Peng, C.-C., Liao, W.-H., Lee, C.-H., & Tung, Y.-C. (2016) · Scientific Reports · doi:10.1038/srep21061 · Cited by 215 · 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
Beckwitt, C. H., Clark, A. M., Wheeler, S., Taylor, D. L., Stolz, D. B., Griffith, L. G., & Wells, A. H. (2017) · Experimental Cell Research · doi:10.1016/j.yexcr.2017.12.023 · Cited by 211 · see citing works
Jalili-Firoozinezhad, S., Prantil-Baun, R., Jiang, A., Potla, R., Mammoto, T., Weaver, J. C., Ferrante, T. C., Kim, H. J., Cabral, J. M. S., Levy, O., et al. (2018) · Cell Death & Disease · doi:10.1038/s41419-018-0304-8 · Cited by 209 · see citing works
In vitro micro-physiological immune-competent model of the human skin
Ramadan, Q., & Ting, F. C. W. (2016) · Lab on a Chip · doi:10.1039/c6lc00229c · Cited by 204 · see citing works
Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics
McAleer, C. W., Long, C. J., Elbrecht, D., Sasserath, T., Bridges, L. R., Rumsey, J. W., Martin, C., Schnepper, M., Wang, Y., Schuler, F., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aav1386 · Cited by 199 · see citing works
A three-dimensional in vitro model of tumor cell intravasation
Ehsan, S. M., Welch-Reardon, K. M., Waterman, M. L., Hughes, C. C. W., & George, S. C. (2014) · Integrative Biology · doi:10.1039/c3ib40170g · Cited by 196 · see citing works
A Spontaneous 3D Bone‐On‐a‐Chip for Bone Metastasis Study of Breast Cancer Cells
Hao, S., Ha, L., Cheng, G., Wan, Y., Xia, Y., Sosnoski, D. M., Mastro, A. M., & Zheng, S. (2018) · Small · doi:10.1002/smll.201702787 · Cited by 195 · see citing works
A lung/liver-on-a-chip platform for acute and chronic toxicity studies
Bovard, D., Sandoz, A., Luettich, K., Frentzel, S., Iskandar, A., Marescotti, D., Trivedi, K., Guedj, E., Dutertre, Q., Peitsch, M. C., et al. (2018) · Lab on a Chip · doi:10.1039/c8lc01029c · Cited by 195 · see citing works
The arrival of commercial bioprinters – Towards 3D bioprinting revolution!
Choudhury, D., Anand, S., & Naing, M. W. (2024) · International Journal of Bioprinting · doi:10.18063/ijb.v4i2.139 · Cited by 189 · see citing works
Oxygen control with microfluidics
Brennan, M. D., Rexius-Hall, M. L., Elgass, L. J., & Eddington, D. T. (2014) · Lab Chip · doi:10.1039/c4lc00853g · Cited by 188 · see citing works
Chen, Y.-A., King, A., Shih, H.-C., Peng, C., Wu, C., Liao, W., & Tung, Y. (2011) · Lab on a Chip · doi:10.1039/c1lc20325h · Cited by 185 · see citing works
Wiśniewski, J. R., Vildhede, A., Norén, A., & Artursson, P. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.01.016 · Cited by 185 · see citing works
Viravaidya‐Pasuwat, K., & Shuler, M. L. (2004) · Biotechnology Progress · doi:10.1021/bp034238d · Cited by 184 · see citing works
A Novel Dynamic Neonatal Blood-Brain Barrier on a Chip
Deosarkar, S. P., Prabhakarpandian, B., Wang, B., Sheffield, J. B., Krynska, B., & Kiani, M. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142725 · Cited by 184 · see citing works
Micro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy
Astolfi, M., Péant, B., Lateef, M. A., Rousset, N., Kendall-Dupont, J., Carmona, E., Monet, F., Saad, F., Provencher, D., Mes-Masson, A.-M., et al. (2016) · Lab on a Chip · doi:10.1039/c5lc01108f · Cited by 182 · see citing works
Satoh, T., Sugiura, S., Shin, K., Onuki-Nagasaki, R., Ishida, S., Kikuchi, K., Kakiki, M., & Kanamori, T. (2018) · Lab on a Chip · doi:10.1039/c7lc00952f · Cited by 181 · see citing works
Yeon, J. H., Ryu, H. R., Chung, M., Hu, Q. P., & Jeon, N. L. (2012) · Lab on a Chip · doi:10.1039/c2lc40131b · Cited by 179 · see citing works
Imura, Y., Sato, K., & Yoshimura, E. (2010) · Analytical Chemistry · doi:10.1021/ac100806x · Cited by 172 · see citing works
Impact of organ-on-a-chip technology on pharmaceutical R&D costs
Franzen, N., van Harten, W. H., Retèl, V. P., Loskill, P., Raaij, J. V. D. E., & IJzerman, M. J. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.06.003 · Cited by 168 · see citing works
Endothelial-cell FAK targeting sensitizes tumours to DNA-damaging therapy
Tavora, B., Reynolds, L. E., Batista, S., Demircioglu, F., Fernandez, I., Lechertier, T., Lees, D. M., Wong, P.-P., Alexopoulou, A., Elia, G., et al. (2014) · Nature · doi:10.1038/nature13541 · Cited by 163 · see citing works
Lei, Q., Qiu, W., Hu, J., Cao, P., Zhu, C., Cheng, H. L., & Zhang, X. (2016) · Small · doi:10.1002/smll.201601137 · Cited by 163 · see citing works
A review on angiogenesis and its assays.
Tahergorabi, Z., & Khazaei, M. (2012) · Europe PMC (PubMed Central) · Cited by 161 · see citing works
Microfluidic bioprinting for organ-on-a-chip models
Yu, F., & Choudhury, D. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.03.025 · Cited by 161 · see citing works
Aleman, J., & Skardal, A. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26871 · Cited by 160 · 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
Recent advances in gelatin-based therapeutics
Echave, M. C., Hernáez‐Moya, R., Iturriaga, L., Pedraz, J. L., Lakshminarayanan, R., Dolatshahi‐Pirouz, A., Taebnia, N., & Orive, G. (2019) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2019.1610383 · Cited by 156 · see citing works
A 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
Bioprinting of 3D breast epithelial spheroids for human cancer models
Swaminathan, S., Hamid, Q., Sun, W., & Clyne, A. M. (2019) · Biofabrication · doi:10.1088/1758-5090/aafc49 · Cited by 154 · see citing works
Tatosian, D. A., & Shuler, M. L. (2008) · Biotechnology and Bioengineering · doi:10.1002/bit.22219 · Cited by 149 · see citing works
Zhou, Z., Shi, Z., Cai, X., Zhang, S., Corder, S. G., Li, X., Zhang, Y., Zhang, G., Chen, L., Liu, M., et al. (2017) · Advanced Materials · doi:10.1002/adma.201605471 · Cited by 148 · see citing works
Drug Toxicity Evaluation Based on Organ-on-a-chip Technology: A Review
Cong, Y., Han, X., Wang, Y., Chen, Z., Lu, Y., Liu, T., Wu, Z., Jin, Y., Luo, Y., & Zhang, X. (2020) · Micromachines · doi:10.3390/mi11040381 · Cited by 140 · see citing works
Microfluidic Brain-on-a-Chip: Perspectives for Mimicking Neural System Disorders
Jahromi, M. A. M., Abdoli, A., Rahmanian, M., Bardania, H., Bayandori, M., Basri, S. M. M., Kalbasi, A., Aref, A. R., Karimi, M., & Hamblin, M. R. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-01653-2 · Cited by 138 · see citing works
Asano, H., & Shiraishi, Y. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.04.014 · Cited by 137 · see citing works
Hintze, K. J., Cox, J. E., Rompato, G., Benninghoff, A. D., Ward, R. E., Broadbent, J., & Lefevre, M. (2014) · Gut Microbes · doi:10.4161/gmic.28403 · Cited by 135 · see citing works
Drug development and clinical trials—the path to an approved cancer drug
Rubin, E. H., & Gilliland, D. G. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.22 · Cited by 135 · see citing works
Therapy 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
Comparison of Drug Inhibitory Effects ($$\hbox {IC}_{50}$$) in Monolayer and Spheroid Cultures
Berrouet, C., Dorilas, N., Rejniak, K. A., & Tuncer, N. (2020) · Bulletin of Mathematical Biology · doi:10.1007/s11538-020-00746-7 · Cited by 133 · see citing works
A microfluidic platform for quantitative analysis of cancer angiogenesis and intravasation
Lee, H., Park, W., Ryu, H., & Jeon, N. L. (2014) · Biomicrofluidics · doi:10.1063/1.4894595 · Cited by 130 · 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
Applications of tumor chip technology
Hachey, S. J., & Hughes, C. C. W. (2018) · Lab on a Chip · doi:10.1039/c8lc00330k · Cited by 128 · see citing works
Cancer-on-a-chip systems at the frontier of nanomedicine
Zhang, Y. S., Zhang, Y.-N., & Zhang, W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.03.011 · Cited by 127 · see citing works
3D spherical microtissues and microfluidic technology for multi-tissue experiments and analysis
Kim, J.-Y., Fluri, D. A., Marchan, R., Boonen, K., Mohanty, S., Singh, P., Hammad, S., Landuyt, B., Hengstler, J. G., Kelm, J. M., et al. (2015) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2015.01.003 · Cited by 126 · see citing works
Accelerating drug discovery via organs-on-chips
Chan, C. Y., Huang, P., Guo, F., Ding, X., Kapur, V., Mai, J. D., Yuen, P. K., & Huang, T. J. (2013) · Lab on a Chip · doi:10.1039/c3lc90115g · Cited by 126 · see citing works
A pumpless multi‐organ‐on‐a‐chip (MOC) combined with a pharmacokinetic–pharmacodynamic (PK–PD) model
Lee, H., Kim, D. S., Ha, S. K., Choi, I., Lee, J. M., & Sung, J. H. (2016) · Biotechnology and Bioengineering · doi:10.1002/bit.26087 · Cited by 126 · see citing works
Biomimetic Model of Tumor Microenvironment on Microfluidic Platform
Chung, M., Ahn, J., Son, K., Kim, S., & Jeon, N. L. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700196 · Cited by 126 · see citing works
Multi-step microfluidic device for studying cancer metastasis
Chaw, K. C., Manimaran, M., Tay, E. H., & Swaminathan, S. (2007) · Lab on a Chip · doi:10.1039/b707399m · Cited by 125 · see citing works
Tunable Collagen I Hydrogels for Engineered Physiological Tissue Micro-Environments
Antoine, E. E., Vlachos, P. P., & Rylander, M. N. (2015) · PLOS ONE · doi:10.1371/journal.pone.0122500 · Cited by 125 · see citing works
Romero-López, M., Trinh, A. L., Sobrino, A., Hatch, M. M. S., Keating, M. T., Fimbres, C., Lewis, D. E., Gershon, P. D., Botvinick, E. L., Digman, M., et al. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2016.11.034 · Cited by 125 · see citing works
Drewitz, M., Helbling, M. M., Fried, N., Bieri, M., Moritz, W., Lichtenberg, J., & Kelm, J. M. (2011) · Biotechnology Journal · doi:10.1002/biot.201100290 · Cited by 124 · see citing works
Shi, M., Majumdar, D., Gao, Y., Brewer, B. M., Goodwin, C. R., MCLEAN, J. A. J., Li, D., & Webb, D. J. (2013) · Lab on a Chip · doi:10.1039/c3lc50249j · Cited by 121 · see citing works
Dendrimer nanoparticles for colorectal cancer applications
Carvalho, M. R., Reis, R. L., & Oliveira, J. M. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02289a · Cited by 121 · 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
Kang, E., Shin, S.-J., Lee, K. H., & Lee, S. (2010) · Lab on a Chip · doi:10.1039/c002695f · Cited by 119 · see citing works
Low levels of physiological interstitial flow eliminate morphogen gradients and guide angiogenesis
Shirure, V. S., Lezia, A., Tao, A., Alonzo, L. F., & George, S. C. (2017) · Angiogenesis · doi:10.1007/s10456-017-9559-4 · Cited by 117 · 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
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
Dehne, E., Tonevitsky, A., & Marx, U. (2013) · Lab on a Chip · doi:10.1039/c3lc50240f · Cited by 108 · see citing works
Wang, X., Sun, Q., & Pei, J. (2018) · Micromachines · doi:10.3390/mi9100493 · Cited by 106 · see citing works
Wen, Z., Liao, Q., Hu, Y., You, L., Zhou, L., & Zhao, Y. (2013) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x20132647 · Cited by 102 · see citing works
A Bioartificial Renal Tubule Device Embedding Human Renal Stem/Progenitor Cells
Sciancalepore, A. G., Sallustio, F., Girardo, S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087496 · Cited by 100 · see citing works
Perspective: Fabrication of integrated organ-on-a-chip via bioprinting
Yang, Q., Lian, Q., & Xu, F. (2017) · Biomicrofluidics · doi:10.1063/1.4982945 · Cited by 95 · see citing works
Microfluidic-based vascularized microphysiological systems
Lee, S., Ko, J., Park, D., Lee, B., Chung, M., Lee, Y., & Jeon, N. L. (2018) · Lab on a Chip · doi:10.1039/c8lc00285a · Cited by 92 · see citing works
In vitro modeling of solid tumor interactions with perfused blood vessels
Kwak, T. J., & Lee, E. (2020) · Scientific Reports · doi:10.1038/s41598-020-77180-1 · Cited by 91 · see citing works
A microengineered human corneal epithelium-on-a-chip for eye drops mass transport evaluation
Bennet, D., Estlack, Z., Reid, T. W., & Kim, J. (2018) · Lab on a Chip · doi:10.1039/c8lc00158h · Cited by 88 · see citing works
From cells-on-a-chip to organs-on-a-chip: scaffolding materials for 3D cell culture in microfluidics
Terrell, J. A., Jones, C. G., Kabandana, G. K. M., & Chen, C. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00718h · Cited by 88 · see citing works
Chemical-PDMS binding kinetics and implications for bioavailability in microfluidic devices
Auner, A. W., Tasneem, K. M., Markov, D. A., McCawley, L. J., & Hutson, M. S. (2019) · Lab on a Chip · doi:10.1039/c8lc00796a · Cited by 87 · see citing works
Ma, L., Barker, J., Zhou, C., Li, W., Zhang, J., Lin, B., Foltz, G., Küblbeck, J., & Honkakoski, P. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.02.054 · Cited by 83 · see citing works
Fabre, K. M., Livingston, C., & Tagle, D. A. (2014) · Experimental Biology and Medicine · doi:10.1177/1535370214538916 · Cited by 82 · see citing works
Yu, X., Pu, X., Xie, C. L., Song, Y., He, H., Li, H., Lu, W., Fu, D., Jin, C., & Yang, D. (2015) · International Journal of Nanomedicine · doi:10.2147/ijn.s93835 · Cited by 81 · see citing works
Vunjak‐Novakovic, G., Bhatia, S. N., Chen, C. S., & Hirschi, K. K. (2013) · Stem Cell Research & Therapy · doi:10.1186/scrt369 · Cited by 80 · see citing works
MMP1 expression is activated by Slug and enhances multi-drug resistance (MDR) in breast cancer
Shen, C., Kuo, Y.-L., Chen, C., Chen, M., & Cheng, Y.-M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174487 · Cited by 80 · see citing works
Organ-Tumor-on-a-Chip for Chemosensitivity Assay: A Critical Review
Kashaninejad, N., Nikmaneshi, M., Moghadas, H., Kiyoumarsi Oskouei, A., Rismanian, M., Barisam, M., Saidi, M., & Firoozabadi, B. (2016) · Micromachines · doi:10.3390/mi7080130 · Cited by 79 · see citing works
Safety in analytical laboratories: basic safety in volumetric analysis
(1977) · Proceedings of the Analytical Division of the Chemical Society · doi:10.1039/ad9771400225 · Cited by 79 · see citing works
Nguyen, T., Jung, S. H., Lee, M. S., Park, T.-E., Ahn, S.-K., & Kang, J. H. (2019) · Lab on a Chip · doi:10.1039/c9lc00338j · Cited by 77 · see citing works
Skin Diseases Modeling using Combined Tissue Engineering and Microfluidic Technologies
Mohammadi, M. H., Araghi, B. H., Beydaghi, V., Geraili, A., Moradi, F., Jafari, P., Janmaleki, M., Valente, K. P., Akbari, M., & Sanati‐Nezhad, A. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600439 · Cited by 74 · see citing works
Ozkan, A., Ghousifam, N., Hoopes, P. J., Yankeelov, T. E., & Rylander, M. N. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26919 · Cited by 73 · see citing works
Magnetic nanoparticle hyperthermia enhancement of cisplatin chemotherapy cancer treatment
Petryk, A. A., Giustini, A. J., Gottesman, R. E., Kaufman, P. A., & Hoopes, P. J. (2013) · International Journal of Hyperthermia · doi:10.3109/02656736.2013.825014 · Cited by 72 · see citing works
Disease-on-a-chip: mimicry of tumor growth in mammary ducts
Vidi, P.-A., Maleki, T., Ochoa, M., Wang, L., Clark, S. M., Leary, J. F., & Lelièvre, S. A. (2014) · Lab Chip · doi:10.1039/c3lc50819f · Cited by 71 · see citing works
Retina-on-a-chip: a microfluidic platform for point access signaling studies
Dodson, K. H., Echevarría, F. D., Li, D., Sappington, R. M., & Jon, F. (2015) · Biomedical Microdevices · doi:10.1007/s10544-015-0019-x · Cited by 71 · see citing works
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 · see citing works
Self-citationHuman‐on‐Leaf‐Chip: A Biomimetic Vascular System Integrated with Chamber‐Specific Organs
Mao, M., Bei, H. P., Lam, C. H., Chen, P., Wang, S., Chen, Y., He, J., & Zhao, X. (2020) · Small · doi:10.1002/smll.202000546 · Cited by 71 · see citing works
Jang, M., Koh, I., Lee, S. J., Cheong, J., & Kim, P. (2017) · Scientific Reports · doi:10.1038/srep41541 · Cited by 69 · see citing works
Kumar, V., & Varghese, S. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201801198 · Cited by 68 · see citing works
3D cardiac μtissues within a microfluidic device with real-time contractile stress readout
Aung, A., Bhullar, I. S., Theprungsirikul, J., Davey, S. K., Lim, H. L., Chiu, Y., Ma, X., Dewan, S., Lo, Y.-H., McCulloch, A. D., et al. (2015) · Lab on a Chip · doi:10.1039/c5lc00820d · Cited by 66 · see citing works
Advancing cancer research using bioprinting for tumor-on-a-chip platforms
Knowlton, S. M., Joshi, A. R., Yenilmez, B., Ozbolat, I. T., Chua, C. K., Khademhosseini, A., & Taşoğlu, S. (2016) · International Journal of Bioprinting · doi:10.18063/ijb.2016.02.003 · Cited by 66 · see citing works
Ma, Y., Thiele, J., Abdelmohsen, L. K. E. A., et al. (2013) · Chemical Communications · doi:10.1039/c3cc46733c · Cited by 63 · see citing works
Neuromuscular junction in a microfluidic device
Park, H. S., Liu, S., McDonald, J. W., et al. (2013) · doi:10.1109/embc.2013.6610130 · Cited by 62 · see citing works
Nishiguchi, A., Matsusaki, M., Kano, M. R., Nishihara, H., Okano, D., Asano, Y., Shimoda, H., Kishimoto, S., Iwai, S., & Akashi, M. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.06.019 · Cited by 60 · see citing works
Self-contained, low-cost Body-on-a-Chip systems for drug development
Wang, Y. I., Oleaga, C., Long, C. J., Esch, M. B., McAleer, C. W., Miller, P. G., Hickman, J. J., & Shuler, M. L. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217694101 · Cited by 59 · see citing works
Matrix Metalloprotease-1a Promotes Tumorigenesis and Metastasis
Foley, C. J., Luo, C., O’Callaghan, K., Hinds, P. W., Covic, L., & Kuliopulos, A. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.356303 · Cited by 57 · see citing works
Cellular self-assembly and biomaterials-based organoid models of development and diseases
Shah, S. B., & Singh, A. K. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2017.01.075 · Cited by 57 · see citing works
A 3D Microfluidic Model to Recapitulate Cancer Cell Migration and Invasion
Toh, Y.-C., Raja, A., Yu, H., & Van Noort, D. (2018) · Bioengineering · doi:10.3390/bioengineering5020029 · Cited by 57 · see citing works
Heylman, C., Sobrino, A., Shirure, V. S., Hughes, C. C., & George, S. C. (2014) · Experimental Biology and Medicine · doi:10.1177/1535370214525295 · Cited by 53 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- Katt, M. E., Placone, A. L., Wong, A. D., Xu, Z. S. & Searson, P. C. In vitro tumor models: advantages, disadvantages, variables, and selecting the right platform. Front. Bioeng. Biotechnol. 4, 12 (2016). · DOI · Paper page
- Rothbauer, M., Zirath, H. & Ertl, P. Recent advances in microfluidic technologies for cell-to-cell interaction studies. Lab Chip 18, 249–270 (2018). · DOI · Paper page
- Hachey, S. J. & Hughes, C. C. Applications of tumor chip technology. Lab a Chip 18, 2893–2912 (2018). · DOI · Paper page
- Kumar, V. & Varghese, S. Ex vivo tumor-on-a-chip platforms to study intercellular interactions within the tumor microenvironment. Adv. Healthc. Mater. 8, 1801198 (2019). · DOI
- Knowlton, S. et al. Advancing cancer research using bioprinting for tumor-on-a-chip platforms. Int. J. Bioprint. 2, 3–8 (2016). · DOI
- Kashaninejad, N. et al. Organ-tumor-on-a-chip for chemosensitivity assay: a critical review. Micromachines 7, 130 (2016). · DOI · Paper page
- Fan, Y., Nguyen, D. T., Akay, Y., Xu, F. & Akay, M. Engineering a brain cancer chip for high-throughput drug screening. Sci. Rep. 6, 25062 (2016). · DOI · Paper page
Cited by
Sorted by citations
Shen, P., Jia, Y., Zhou, W., Zheng, W., Wu, Y., Qu, S., Du, S., Wang, S., Shi, H., Sun, J., et al. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.04.010 · Cited by 42 · see citing works
Microfluidic-based human prostate-cancer-on-chip
Jiang, L., Khawaja, H., Tahsin, S., Clarkson, T. A., Miranti, C. K., & Zohar, Y. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1302223 · Cited by 26 · see citing works
Microphysiological systems as models for immunologically ‘cold’ tumors
Gaebler, D., Hachey, S. J., & Hughes, C. C. W. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1389012 · Cited by 12 · see citing works
- Authors
- Liu, X., Fang, J., Huang, S., Wu, X., Xie, X., Wang, J., Liu, F., Zhang, M., Peng, Z., & Hu, N.
- Affiliations
- Sun Yat-sen University (CN)
- Corresponding author
- Hu, Ning
- ORCID
- Venue
- Microsystems & Nanoengineering
- Published
- 2021-06-21
- Volume
- 7
- Issue
- 1
- Pages
- 50-50
- ISSN
- 2055-7434 (ISSN-L)
- PMC
- PMC8433302
- OpenAlex
- W3176320563
- Semantic Scholar
- 2f5d9685d30e06242dbb6e60ba18bcba059f9a94
- Cited by
- 246
- References
- 228
- Citations by year
- 2026: 46 · 2025: 53 · 2024: 57 · 2023: 41 · 2022: 44 · 2021: 5
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Microsystems & Nanoengineering (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- the 100 Talents Program of Sun Yat-sen University
- GuangDong Basic and Applied Basic Research Foundation of China
- Open Fund of State Key Laboratory of Biocontrol at Sun Yat-sen University
- National Natural Science Foundation of China (81770608)
- 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-on-a-chip, tumor microenvironment, 3D cell culture, microfluidics, tissue engineering, anticancer drug screening, cancer therapy, in vitro tumor model, biomimetic design, drug repurposing
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
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