SynTumor 3D Cancer Model

SynTumor is a 3D tissue model for cell-cell and cell-drug interaction in a realistic tumor environment. Get as close as possible to in vivo experiments while controlling every aspect of the experimental conditions.

Available in two kit sizes to start using the setup out of the box!

General

SynVivo's SynTumor is a new system designed for the study of drug/endothelium, drug/tumor interaction in a realistic and dynamic tumor microenvironment. By reproducing a histological section of co-cultured tissue and/or tumor cells with an endothelial cell lumen, the SynVivo platform provides a physiologically realistic model including flow and shear in one platform, and allows real-time monitoring of binding and extravasation processes.

To run SynTumor assays, two kit formats are available:

To order the chip only, check our dedicated pages for linear, radial and microvascular designs (ref SY-102004, SY-102012, SY-108011, SY-108007, SY-105007, SY-105015).

Content

Specifications

IMN2 radial	SMN2 co-culture microvascular network	IMN2 linear
IMN2 radial chip with pillars (left) and slits (right) Tissue chamber: 1.8 mm diameter Depth: 100 μm Slit version: Outer channel (OC): 100 μm Slit width (WS): 2 µm Slit spacing (SS): 50 µm Travel (T): 50 μm Pillar version: Outer channel (OC): 200 μm Pillar spacing (SP): 8 µm Travel (T): 50 µm Pillar height: 8 µm	Idealized co-culture chip microvascular network with pillar barrier, pillar height of 2 or 8 µm. 2 µm pillar height: Diameter: 20 µm Separation: 3 µm Depth: 100 µm 8 µm pillar height: Diameter: 10 µm Separation: 50 µm Depth: 100 µm	Idealized co-culture network, 3 or 5 µm slits. Outer channels width (blue): 200 μm Central channel width (red): 500 µm Depth: 100 µm Travel width (distance between channels): 50 μm Slits width: 3 μm or 5 µm

Documentation

?SynVivo brochure

?SynTumor idealized network technical manual

?SynTumor microvascular network technical manual

Vu, M. N., Rajasekhar, P., Poole, D. P., Khor, S. Y., Truong, N. P., Nowell, C. J., ... & Davis, T. P. (2019). Rapid assessment of nanoparticle extravasation in a microfluidic tumor model. ACS Applied Nano Materials, 2(4), 1844-1856. https://doi.org/10.1021/acsanm.8b02056

Pradhan, S., Smith, A. M., Garson, C. J., Hassani, I., Seeto, W. J., Pant, K., ... & Lipke, E. A. (2018). A microvascularized tumor-mimetic platform for assessing anti-cancer drug efficacy. Scientific reports, 8(1), 1-15. https://doi.org/10.1038/s41598-018-21075-9

Tang, Y., Soroush, F., Sheffield, J. B., Wang, B., Prabhakarpandian, B., & Kiani, M. F. (2017). A biomimetic microfluidic tumor microenvironment platform mimicking the EPR effect for rapid screening of drug delivery systems. Scientific reports, 7(1), 1-14. https://doi.org/10.1038/s41598-017-09815-9

Jarvis, M., Arnold, M., Ott, J., Pant, K., Prabhakarpandian, B., & Mitragotri, S. (2017). Microfluidic co‐culture devices to assess penetration of nanoparticles into cancer cell mass. Bioengineering & translational medicine, 2(3), 268-277. https://doi.org/10.1002/btm2.10079

Boohaker, R. J., Sambandam, V., Segura, I., Miller, J., Suto, M., & Xu, B. (2018). Rational design and development of a peptide inhibitor for the PD-1/PD-L1 interaction. Cancer Letters, 434, 11-21. https://doi.org/10.1016/j.canlet.2018.04.031

Prabhakarpandian, B., Shen, M. C., Nichols, J. B., Garson, C. J., Mills, I. R., Matar, M. M., ... & Pant, K. (2015). Synthetic tumor networks for screening drug delivery systems. Journal of controlled release, 201, 49-55. https://doi.org/10.1016/j.jconrel.2015.01.018