The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
3D in vitro bioengineered tumors based on collagen I hydrogels
Open accessAbstract
Cells cultured within a three-dimensional (3D) in vitro environment have the ability to acquire phenotypes and respond to stimuli analogous to in vivo biological systems. This approach has been utilized in tissue engineering and can also be applied to the development of a physiologically relevant in vitro tumor model. In this study, collagen I hydrogels cultured with MDA-MB-231 human breast cancer cells were bioengineered as a platform for in vitro solid tumor development. The cell–cell and cell-matrix interactions present during in vivo tissue progression were encouraged within the 3D hydrogel architecture, and the biocompatibility of collagen I supported unconfined cellular proliferation. The development of necrosis beyond a depth of ~150–200 μm and the expression of hypoxia-inducible factor (HIF)-1α were demonstrated in the in vitro bioengineered tumors. Oxygen and nutrient diffusion limitations through the collagen I matrix as well as competition for available nutrients resulted in growing levels of intra-cellular hypoxia, quantified by a statistically significant (p < 0.01) upregulation of HIF-1α gene expression. The bioengineered tumors also demonstrated promising angiogenic potential with a statistically significant (p < 0.001) upregulation of vascular endothelial growth factor (VEGF)-A gene expression. In addition, comparable gene expression analysis demonstrated a statistically significant increase of HIF-1α (p < 0.05) and VEGF-A (p < 0.001) by MDA-MB-231 cells cultured in the 3D collagen I hydrogels compared to cells cultured in a monolayer on two-dimensional tissue culture polystyrene. The results presented in this study demonstrate the capacity of collagen I hydrogels to facilitate the development of 3D in vitro bioengineered tumors that are representative of the pre-vascularized stages of in vivo solid tumor progression.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling
Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., Csiszar, K., Giaccia, A., Weninger, W., et al. (2009) · Cell · doi:10.1016/j.cell.2009.10.027 · Cited by 4,101
Tensional homeostasis and the malignant phenotype
Paszek, M. J., Zahir, N., Johnson, K. R., Lakins, J. N., Rozenberg, G. I., Gefen, A., Reinhart-King, C. A., Margulies, S. S., Dembo, M., Boettiger, D., et al. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.08.010 · Cited by 3,941
The third dimension bridges the gap between cell culture and live tissue
Pampaloni, F., Reynaud, E. G., & Stelzer, E. H. K. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2236 · Cited by 2,817
Capturing complex 3D tissue physiology in vitro
Griffith, L. G., & Swartz, M. A. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1858 · Cited by 2,290
Modeling Tissue Morphogenesis and Cancer in 3D
Yamada, K. M., & Cukierman, E. (2007) · Cell · doi:10.1016/j.cell.2007.08.006 · Cited by 1,751
Kenny, P. A., Lee, G. Y., Myers, C. A., Neve, R. M., Semeiks, J. R., Spellman, P. T., Lorenz, K., Lee, E. H., Barcellos‐Hoff, M. H., PETERSEN, O. W., et al. (2008) · eScholarship (California Digital Library) · Cited by 1,039
Nagata, S. (2000) · Experimental Cell Research · doi:10.1006/excr.2000.4834 · Cited by 905
Engineering tumors with 3D scaffolds
Fischbach, C., Chen, R., Matsumoto, T., Schmelzle, T., Brugge, J. S., Polverini, P. J., & Mooney, D. J. (2007) · Nature Methods · doi:10.1038/nmeth1085 · Cited by 823
Cited by
Edmondson, R., Broglie, J. J., Adcock, A. F., & Yang, L. (2014) · ASSAY and Drug Development Technologies · doi:10.1089/adt.2014.573 · Cited by 2,515
3D Cell Culture Systems: Advantages and Applications
Ravi, M., Paramesh, V., Kaviya, S. R., Anuradha, E., & Solomon, F. D. P. (2015) · Journal of Cellular Physiology · doi:10.1002/jcp.24683 · Cited by 1,206
Loessner, D., Meinert, C., Kaemmerer, E., Martine, L. C., Yue, K., Levett, P. A., Klein, T. J., Melchels, F. P. W., Khademhosseini, A., & Hutmacher, D. W. (2016) · Nature Protocols · doi:10.1038/nprot.2016.037 · Cited by 868
3D cell culture systems modeling tumor growth determinants in cancer target discovery
Thoma, C. R., Zimmermann, M., Agarkova, I., Kelm, J. M., & Krek, W. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.03.001 · Cited by 478
Three-dimensional in vitro tumor models for cancer research and drug evaluation
Xu, X., Farach-Carson, M. C., & Jia, X. (2014) · Biotechnology Advances · doi:10.1016/j.biotechadv.2014.07.009 · Cited by 461
Metadata
- Authors
- Szot, C. S., Buchanan, C. F., Freeman, J. W., & Rylander, M. N.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 32
- Issue
- 31
- Pages
- 7905-7912
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2076081218
- Cited by
- 306
- References
- 35
- FWCI
- 7.89
- Type
- journal article
- Language
- en
- Open access
- green
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