Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation
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Background: There is overwhelming evidence that in vitro three-dimensional tumor cell cultures more accurately reflect the complex in vivo microenvironment than simple two-dimensional cell monolayers, not least with respect to gene expression profiles, signaling pathway activity and drug sensitivity. However, most currently available three-dimensional techniques are time consuming and/or lack reproducibility; thus standardized and rapid protocols are urgently needed. Results: To address this requirement, we have developed a versatile toolkit of reproducible three-dimensional tumor spheroid models for dynamic, automated, quantitative imaging and analysis that are compatible with routine high-throughput preclinical studies. Not only do these microplate methods measure three-dimensional tumor growth, but they have also been significantly enhanced to facilitate a range of functional assays exemplifying additional key hallmarks of cancer, namely cell motility and matrix invasion. Moreover, mutual tissue invasion and angiogenesis is accommodated by coculturing tumor spheroids with murine embryoid bodies within which angiogenic differentiation occurs. Highly malignant human tumor cells were selected to exemplify therapeutic effects of three specific molecularly-targeted agents: PI-103 (phosphatidylinositol-3-kinase (PI3K)-mammalian target of rapamycin (mTOR) inhibitor), 17-N-allylamino-17-demethoxygeldanamycin (17-AAG) (heat shock protein 90 (HSP90) inhibitor) and CCT130234 (in-house phospholipase C (PLC)γ inhibitor). Fully automated analysis using a Celigo cytometer was validated for tumor spheroid growth and invasion against standard image analysis techniques, with excellent reproducibility and significantly increased throughput. In addition, we discovered key differential sensitivities to targeted agents between two-dimensional and three-dimensional cultures, and also demonstrated enhanced potency of some agents against cell migration/invasion compared with proliferation, suggesting their preferential utility in metastatic disease. Conclusions: We have established and validated a suite of highly reproducible tumor microplate three-dimensional functional assays to enhance the biological relevance of early preclinical cancer studies. We believe these assays will increase the translational predictive value of in vitro drug evaluation studies and reduce the need for in vivo studies by more effective triaging of compounds.
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Three-dimensional multicellular tumor spheroids capture essential features of tumor architecture, stromal interactions, and microenvironmental resistance mechanisms.
“Three-dimensional multicellular tumor spheroids have emerged as more representative in vitro models that capture essential features of tumor architecture, stromal interactions, and microenvironmental resistance mechanisms.”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [15]
The Background (page not available) says three-dimensional cultures better reflect tumor architecture and microenvironmental features. The Results (page not available) report that tumor cells were generally less drug-sensitive in three-dimensional culture, but offer reduced drug access and hypoxia-related effects as possible explanations rather than established resistance mechanisms. The Discussion (page not available) describes stromal-cell incorporation as a modification to spheroids, not a feature of spheroids generally. (LLM, conf=0.87)
Experimental — accuracy not yet measuredCommercial kits such as CellTiter-Glo® 3D and Cultrex® 3D viability assays are designed to enhance lysis efficiency and signal uniformity in spheroids.
“Commercial kits, such as CellTiter-Glo® 3D and Cultrex® 3D viability assays, are designed to enhance lysis efficiency and signal uniformity in spheroids [15,307].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [15]
The Methods (Cell viability assay; page unavailable) report using a CellTiter-Glo kit to measure spheroid viability, and the Results describe its luminescent measurements as reproducible. The paper does not identify the kit as CellTiter-Glo 3D, mention Cultrex 3D, or say either kit is designed to improve lysis efficiency or signal uniformity. (LLM, conf=0.84)
Experimental — accuracy not yet measuredScientists have been making an effort to develop standard and rapid protocols for using 3D cultures in drug screening.
“Scientists have been making an effort to develop standard and rapid protocols for using 3D cultures in drug screening. 71”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [71]
Formation of single large spheroids (>500 μm diameter) enables the formation of a hypoxic core, and drug, oxygen and metabolite gradients that mimic solid tumor physiology.
“Formation of single large spheroids (>500 μm diameter) enables the formation of a hypoxic core, and drug, oxygen and metabolite gradients that mimic solid tumor physiology (Vinci et al., 2012; Heredia-Soto et al., 2018).”
From Three-dimensional modelling of ovarian cancer: from cell lines to organoids for discovery and personalized medicine (2022) · cites this paper as Vinci et al., 2012
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Cites
Identification of a cancer stem cell in human brain tumors.
Singh, S. K., Clarke, I. D., Terasaki, M., Bonn, V. E., Hawkins, C. E., Squire, J. A., & Dirks, P. B. (2003) · PubMed · Cited by 4,861 · see citing works
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 · see citing works
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805 · see citing works
Spheroid-based drug screen: Considerations and practical approach
Friedrich, J., Seidel, C., Ebner, R., & Kunz-Schughart, L. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.226 · Cited by 1,742 · see citing works
Multicellular tumor spheroids: An underestimated tool is catching up again
Hirschhaeuser, F., Menne, H., Dittfeld, C., West, J., Mueller-Klieser, W., & Kunz-Schughart, L. A. (2010) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2010.01.012 · Cited by 1,674 · see citing works
Weaver, V. M., Petersen, O. W., Wang, F., Larabell, C. A., Briand, P., Damsky, C., & Bissell, M. J. (1997) · The Journal of Cell Biology · doi:10.1083/jcb.137.1.231 · Cited by 1,483 · see citing works
Three-dimensional culture models of normal and malignant breast epithelial cells
Lee, G. Y., Kenny, P. A., Lee, E. H., & Bissell, M. J. (2007) · Nature Methods · doi:10.1038/nmeth1015 · Cited by 1,336 · see citing works
Abbott, A. (2003) · Nature · doi:10.1038/424870a · Cited by 1,237 · see citing works
Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44
Takaishi, S., Okumura, T., Tu, S., Wang, S. S. W., Shibata, W., Ramanathan, V., Gordon, S. A. K., Shimada, Y., & Wang, T. C. (2009) · Stem Cells · doi:10.1002/stem.30 · Cited by 1,041 · see citing works
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 · see citing works
The use of 3-d cultures for high-throughput screening: the multicellular spheroid model.
Kunz-Schughart, L. A., Freyer, J. P., Hofstaedter, F., & Ebner, R. (2004) · SLAS DISCOVERY · doi:10.1177/1087057104265040 · Cited by 797 · see citing works
Prespecification and plasticity: shifting mechanisms of cell migration
Friedl, P. (2004) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2003.11.001 · Cited by 670 · see citing works
Wright, M. H., Calcagno, A. M., Salcido, C. D., Carlson, M. D., Ambudkar, S. V., & Varticovski, L. (2008) · Breast Cancer Research · doi:10.1186/bcr1855 · Cited by 643 · see citing works
Rørth, P. (2009) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.042308.113231 · Cited by 600 · see citing works
Rapid Generation of Single-Tumor Spheroids for High-Throughput Cell Function and Toxicity Analysis
Ivascu, A., & Kubbies, M. (2006) · SLAS DISCOVERY · doi:10.1177/1087057106292763 · Cited by 598 · see citing works
Growth of Multicell Spheroids in Tissue Culture as a Model of Nodular Carcinomas 2
Sutherland, R. M., McCredie, J. A., & Inch, W. R. (1971) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/46.1.113 · Cited by 585 · see citing works
3D Cell Culture: A Review of Current Approaches and Techniques
Haycock, J. W. (2010) · Methods in molecular biology · doi:10.1007/978-1-60761-984-0_1 · Cited by 534 · see citing works
High drug attrition rates—where are we going wrong?
Hutchinson, L., & Kirk, R. (2011) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2011.34 · Cited by 517 · see citing works
Experimental anti-tumor therapy in 3-D: Spheroids – old hat or new challenge?
Friedrich, J., Ebner, R., & Kunz‐Schughart, L. A. (2007) · International Journal of Radiation Biology · doi:10.1080/09553000701727531 · Cited by 445 · see citing works
Growing tissues in microgravity
Unsworth, B. R., & Lelkes, P. I. (1998) · Nature Medicine · doi:10.1038/nm0898-901 · Cited by 393 · see citing works
Mechanisms of collective cell migration at a glance
Ilina, O., & Friedl, P. (2009) · Journal of Cell Science · doi:10.1242/jcs.036525 · Cited by 384 · see citing works
Härmä, V., Virtanen, J., Mäkelä, R., Happonen, A., Mpindi, J.-P., Knuuttila, M., Kohonen, P., Lötjönen, J., Kallioniemi, O., & Nees, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010431 · Cited by 344 · see citing works
Ghosh, S., Spagnoli, G. C., Martin, I., Ploegert, S., Demougin, P., Heberer, M., & Reschner, A. (2005) · Journal of Cellular Physiology · doi:10.1002/jcp.20320 · Cited by 326 · see citing works
Airley, R. E., Loncaster, J. A., Davidson, S. E., Bromley, M., Roberts, S. K., Patterson, A. V., Hunter, R. D., Stratford, I. J., & West, C. (2001) · PubMed · Cited by 320 · see citing works
Three-dimensional in vitro tissue culture models of breast cancer — a review
Kim, J. B., Stein, R. C., & O'Hare, M. J. (2004) · Breast Cancer Research and Treatment · doi:10.1023/b:brea.0000025418.88785.2b · Cited by 315 · see citing works
Sivaraman, A., Leach, J., Townsend, S., Iida, T., Hogan, B., Stolz, D. B., Fry, R. C., Samson, L. D., Tannenbaum, S. R., & Griffith, L. G. (2005) · Current Drug Metabolism · doi:10.2174/138920005774832632 · Cited by 312 · see citing works
McCready, J., Sims, J. D., Chan, D. W., & Jay, D. G. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-294 · Cited by 298 · see citing works
Spheroid Preparation from Hanging Drops: Characterization of a Model of Brain Tumor Invasion
Duca, D. D., Werbowetski‐Ogilvie, T. E., & Maestro, R. F. D. (2004) · Journal of Neuro-Oncology · doi:10.1023/b:neon.0000024220.07063.70 · Cited by 270 · see citing works
Modelling tissues in 3D: the next future of pharmaco-toxicology and food research?
Mazzoleni, G., Lorenzo, D. D., & Steimberg, N. (2008) · Genes & Nutrition · doi:10.1007/s12263-008-0107-0 · Cited by 252 · see citing works
The history of the angiogenic switch concept
Ribatti, D., Nico, B., Crivellato, E., Roccaro, A. M., & Vacca, A. (2006) · Leukemia · doi:10.1038/sj.leu.2404402 · Cited by 250 · see citing works
Sodek, K. L., Ringuette, M. J., & Brown, T. J. (2009) · International Journal of Cancer · doi:10.1002/ijc.24188 · Cited by 248 · see citing works
Vajkoczy, P., Knyazev, P. G., Kunkel, A., Capelle, H., Behrndt, S., von Tengg‐Kobligk, H., Kiessling, F. M., Eichelsbacher, U., Essig, M., Read, T., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510923103 · Cited by 239 · see citing works
The plasticity of cytoskeletal dynamics underlying neoplastic cell migration
Sanz‐Moreno, V., & Marshall, C. J. (2010) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2010.08.020 · Cited by 238 · see citing works
Oxygenation and differentiation in multicellular spheroids of human colon carcinoma.
Sutherland, R. M., Sordat, B., Bamat, J., Gabbert, H. E., Bourrat, B., & Mueller‐Klieser, W. (1986) · PubMed · Cited by 237 · see citing works
Diversity of cell-mediated adhesions in breast cancer spheroids
Ivascu, A., & Kubbies, M. (2007) · International Journal of Oncology · doi:10.3892/ijo.31.6.1403 · Cited by 229 · see citing works
Invadopodia: At the cutting edge of tumour invasion
Stylli, S. S., Kaye, A. H., & Lock, P. (2008) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2008.03.003 · Cited by 222 · see citing works
Vajkoczy, P., Farhadi, M. R., Gaumann, A. K. A., Heidenreich, R., Erber, R., Wunder, A., Tonn, J. C., Menger, M. D., & Breier, G. (2002) · Journal of Clinical Investigation · doi:10.1172/jci14105 · Cited by 219 · see citing works
Hamer, P. C. D. W., van Tilborg, A. A. G., Eijk, P. P., Sminia, P., Troost, D., Noorden, C. J. F. V., Ylstra, B., & Leenstra, S. (2007) · Oncogene · doi:10.1038/sj.onc.1210850 · Cited by 216 · see citing works
Deisboeck, T. S., Berens, M. E., Kansal, A. R., Salvatore Torquato, A., Stemmer-Rachamimov, A. O., & Chiocca, E. A. (2001) · Cell Proliferation · doi:10.1046/j.1365-2184.2001.00202.x · Cited by 213 · see citing works
Ten human carcinoma cell lines derived from squamous carcinomas of the head and neck
Easty, D. M., Easty, G. C., Carter, R. L., et al. (1981) · British Journal of Cancer · doi:10.1038/bjc.1981.115 · Cited by 183 · see citing works
Vajkoczy, P., Farhadi, M. R., Gaumann, A. K. A., Heidenreich, R., Erber, R., Wunder, A., Tonn, J. C., Menger, M. D., & Breier, G. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0214105 · Cited by 182 · see citing works
Wartenberg, M., Dönmez, F., Ling, F. C., Acker, H., Hescheler, J., & Sauer, H. (2001) · The FASEB Journal · doi:10.1096/fj.00-0350com · Cited by 173 · see citing works
Ernst, A., Hofmann, S., Ahmadi, R., Becker, N., Korshunov, A., Engel, F., Hartmann, C. J., Felsberg, J., Sabel, M., Peterziel, H., et al. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-0695 · Cited by 171 · see citing works
Li, Q., Chen, C., Kapadia, A., Zhou, Q., Harper, M. K., Schaack, J. B., & LaBarbera, D. V. (2011) · SLAS DISCOVERY · doi:10.1177/1087057110392995 · Cited by 139 · see citing works
Tenascin mediates human glioma cell migration and modulates cell migration on fibronectin
Deryugina, E. I., & Bourdon, M. A. (1996) · Journal of Cell Science · doi:10.1242/jcs.109.3.643 · Cited by 136 · see citing works
Howes, A. L., Chiang, G. G., Lang, E. S., Ho, C., Powis, G., Vuori, K., & Abraham, R. T. (2007) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-06-0698 · Cited by 135 · see citing works
Agudelo-Garcia, P. A., Jesus, J. K. D., Williams, S. P., Nowicki, M. O., Chiocca, E. A., Liyanarachchi, S., Li, P., Lannutti, J. J., Johnson, J. K., Lawler, S. E., et al. (2011) · Neoplasia · doi:10.1593/neo.11612 · Cited by 128 · see citing works
Bax, D. A., Little, S. E., Gaspar, N., Perryman, L., Marshall, L. V., Viana‐Pereira, M., Jones, T. A., Williams, R. D., Grigoriadis, A. E., Vassal, G., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005209 · Cited by 128 · see citing works
PLCγ1 is essential for early events in integrin signalling required for cell motility
Jones, N. P., Peak, J. C., Brader, S., Eccles, S. A., & Katan, M. (2005) · Journal of Cell Science · doi:10.1242/jcs.02374 · Cited by 115 · see citing works
Self-citationDevelopment of Endothelial Cell Lines From Embryonic Stem Cells
Balconi, G., Spagnuolo, R., & Dejana, E. (2000) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.20.6.1443 · Cited by 103 · see citing works
Hardelauf, H., Frimat, J., Stewart, J. D., Schormann, W., Chiang, Y.-Y., Lampen, P., Franzke, J., Hengstler, J. G., Cadenas, C., Kunz‐Schughart, L. A., et al. (2010) · Lab on a Chip · doi:10.1039/c0lc00089b · Cited by 98 · see citing works
Ayala, I., Baldassarre, M., Caldieri, G., et al. (2005) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2005.09.005 · Cited by 97 · see citing works
Nanni, P., Pupa, S., Nicoletti, G., Giovanni, C. D., Landuzzi, L., Rossi, I., Astolfi, A., Ricci, C., Vecchi, R. D., Invernizzi, A., et al. (2000) · International Journal of Cancer · doi:10.1002/1097-0215(20000715)87:2 · Cited by 95 · see citing works
Weiswald, L., Guinebretière, J., Richon, S., Bellet, D. H., Saubaméa, B., & Dangles‐Marie, V. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-106 · Cited by 91 · see citing works
Moser, C., Lang, S. A., Kainz, S., et al. (2007) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-07-0410 · Cited by 63 · see citing works
Xiang, X., Phung, Y., Feng, M., Nagashima, K., Zhang, J., Broaddus, V. C., Hassan, R., FitzGerald, D., & Ho, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014640 · Cited by 51 · see citing works
Aurora kinases as prognostic biomarkers in ovarian carcinoma
Mendiola, M., Barriuso, J., Mariño‐Enríquez, A., et al. (2009) · Human Pathology · doi:10.1016/j.humpath.2008.10.011 · Cited by 40 · see citing works
Self-citationMatsuda, Y., Ishiwata, T., Kawamoto, Y., Kawahara, K., Peng, W., Yamamoto, T., & Naito, Z. (2010) · Medical Molecular Morphology · doi:10.1007/s00795-010-0497-0 · Cited by 39 · see citing works
O‐charoenrat, P., Rhys‐Evans, P., & Eccles, S. A. (2001) · PubMed · Cited by 29 · see citing works
Self-citation
Flagged first, then by citations
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Sorted by citations
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 · 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
Zanoni, M., Piccinini, F., Arienti, C., Zamagni, A., Santi, S., Polico, R., Bevilacqua, A., & Tesei, A. (2016) · Scientific Reports · doi:10.1038/srep19103 · Cited by 1,144 · see citing works
Spheroid culture as a tool for creating 3D complex tissues
Fennema, E., Rivron, N., Rouwkema, J., van Blitterswijk, C., & de Boer, J. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2012.12.003 · Cited by 1,054 · see citing works
Three-dimensional culture systems in cancer research: Focus on tumor spheroid model
Nath, S., & Devi, G. R. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.03.013 · Cited by 919 · 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
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
Programming self-organizing multicellular structures with synthetic cell-cell signaling
Toda, S., Blauch, L. R., Tang, S. K. Y., Morsut, L., & Lim, W. A. (2018) · Science · doi:10.1126/science.aat0271 · Cited by 470 · see citing works
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 · see citing works
Self-citationThree-Dimensional Spheroids as In Vitro Preclinical Models for Cancer Research
Pinto, B., Henriques, A. C., Silva, P. M. A., & Bousbaa, H. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12121186 · Cited by 440 · see citing works
Challenges of applying multicellular tumor spheroids in preclinical phase
Han, S. J., Kwon, S., & Kim, K. S. (2021) · Cancer Cell International · doi:10.1186/s12935-021-01853-8 · Cited by 428 · see citing works
Biomaterials and emerging anticancer therapeutics: engineering the microenvironment
Gu, L., & Mooney, D. J. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2015.3 · Cited by 407 · 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
Barbosa, M. A. G., Xavier, C. P. R., Pereira, R. F., Petrikaitė, V., & Vasconcelos, M. H. (2021) · Cancers · doi:10.3390/cancers14010190 · Cited by 285 · see citing works
Three-Dimensional In Vitro Co-Culture Model of Breast Tumor using Magnetic Levitation
Jaganathan, H., Gage, J., Leonard, F., Srinivasan, S., Souza, G. R., Dave, B., & Godin, B. (2014) · Scientific Reports · doi:10.1038/srep06468 · Cited by 231 · see citing works
3D tumor models: History, advances and future perspectives
Benien, P., & Swami, A. (2014) · Future Oncology · doi:10.2217/fon.13.274 · Cited by 208 · see citing works
Dreaden, E. C., Morton, S. W., Shopsowitz, K. E., Choi, J.-H., Deng, Z. J., Cho, N.-J., & Hammond, P. T. (2014) · ACS Nano · doi:10.1021/nn502861t · Cited by 179 · see citing works
Emerging tumor spheroids technologies for 3D in vitro cancer modeling
Rodrigues, T., Kundu, B., Silva-Correia, J., Kundu, S. C., Oliveira, J. M., Reis, R. L., & Correlo, V. M. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.10.018 · Cited by 178 · see citing works
Huang, B.-W., & Gao, J.-Q. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.12.005 · Cited by 174 · see citing works
In Vitro research Reproducibility: Keeping up High Standards
Hirsch, C., & Schildknecht, S. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01484 · Cited by 161 · see citing works
3D Bioprinting of Tumor Models for Cancer Research
Kang, Y., Datta, P., Shanmughapriya, S., & Ozbolat, I. T. (2020) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c00791 · Cited by 112 · see citing works
Sun, Q., Tan, S. H., Chen, Q., Ran, R., Hui, Y., Chen, D., & Zhao, C.-X. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b00904 · Cited by 100 · see citing works
Lemmo, S., Atefi, E., Luker, G. D., & Tavana, H. (2014) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-014-0349-4 · Cited by 71 · see citing works
Fibroblast-associated tumour microenvironment induces vascular structure-networked tumouroid
Lee, S. W., Kwak, H. S., Kang, M.-H., Park, Y.-Y., & Jeong, G. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-20886-0 · Cited by 68 · see citing works
Yee, C., Dickson, K.-A., Muntasir, M. N., Ma, Y., & Marsh, D. J. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.836984 · Cited by 66 · see citing works
Shah, S., & D’Souza, G. G. M. (2025) · Cells · doi:10.3390/cells14100732 · Cited by 66 · see citing works
“Commercial kits, such as CellTiter-Glo ® 3D and Cultrex ® 3D viability assays, are designed to enhance lysis efficiency and signal uniformity in spheroids [15,307].”
Kaipio, K., Chen, P., Roering, P., Huhtinen, K., Mikkonen, P., Östling, P., Lehtinen, L., Mansuri, N., Korpela, T., Potdar, S., et al. (2020) · The Journal of Pathology · doi:10.1002/path.5356 · Cited by 54 · see citing works
De Simone, U., Roccio, M., Gribaldo, L., Spinillo, A., Caloni, F., & Coccini, T. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19071993 · Cited by 55 · see citing works
3D Tumor Spheroid Models for In Vitro Therapeutic Screening of Nanoparticles
Daunys, S., Janonienė, A., Januškevičienė, I., Paškevičiūtė, M., & Petrikaitė, V. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-58174-9_11 · Cited by 32 · see citing works
Heredia-Soto, V., Redondo, A., Berjón, A., Miguel-Martín, M., Díaz, E., Crespo, R., Hernández, A., Yébenes, L., Gallego, A., Feliu, J., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.25098 · Cited by 33 · see citing works
Cubillos-Zapata, C., Hernández-Jiménez, E., Avendaño-Ortiz, J., Toledano, V., Varela-Serrano, A., Fernández-Navarro, I., Casitas, R., Carpio, C., Aguirre, L. A., García-Río, F., et al. (2018) · Mediators of Inflammation · doi:10.1155/2018/7373921 · Cited by 31 · see citing works
Ranjbar-Mohammadi, M., Abbasian, M., Mousavi, E., & Arab-Bafrani, Z. (2019) · European Polymer Journal · doi:10.1016/j.eurpolymj.2019.03.024 · Cited by 26 · see citing works
Miller, C. P., Fung, M., Jaeger-Ruckstuhl, C. A., Xu, Y., Warren, E. H., Akilesh, S., & Tykodi, S. S. (2023) · Neoplasia · doi:10.1016/j.neo.2023.100948 · Cited by 19 · see citing works
- Authors
- Vinci, M., Gowan, S., Boxall, F., Patterson, L., Zimmermann, M., Court, W., Lomas, C., Mendiola, M., Hardisson, D., & Eccles, S. A.
- Affiliations
- Institute of Cancer Research (GB)
- Hospital Universitario La Paz (ES)
- Corresponding author
- Eccles, Suzanne A
- Venue
- BMC Biology
- Published
- 2012-03-22
- Volume
- 10
- Issue
- 1
- Pages
- 29-29
- ISSN
- 1741-7007 (ISSN-L)
- PMC
- PMC3349530
- OpenAlex
- W2000744297
- Cited by
- 1,024
- References
- 59
- Citations by year
- 2026: 56 · 2025: 74 · 2024: 63 · 2023: 79 · 2022: 81 · 2021: 86 · 2020: 99 · 2019: 86 · 2018: 82 · 2017: 86 · 2016: 82 · 2015: 58 · 2014: 51 · 2013: 34 · 2012: 6
- FWCI
- 23.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Hispana (submittedVersion)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, public-domain)
- Funders
- Cancer Research UK (RD06/0020, 11566, C309/A8274)
- National Institute for Health and Care Research (RD06/0020)
- National Centre for the Replacement, Refinement and Reduction of Animals in Research (G1000121/1)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Keywords
- multicellular spheroids, automated image analysis, drug target validation, drug evaluation, cell motility, matrix invasion, angiogenesis, PI3K/mTOR inhibition, HSP90 inhibition, metastasis, tumor microenvironment
- MeSH terms
- Animals, Antineoplastic Agents, Cell Movement, Drug Evaluation, Furans, Models, Biological, Pyridines, Pyrimidines, Signal Transduction, Benzoquinones, HSP90 Heat-Shock Proteins, Cell Line, Tumor, Lactams, Macrocyclic, Cell Proliferation, Mice, Embryonic Stem Cells, Tumor Microenvironment
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