Multicellular tumor spheroids: An underestimated tool is catching up again
Abstract
The present article highlights the rationale, potential and flexibility of tumor spheroid mono- and cocultures for implementation into state of the art anti-cancer therapy test platforms. Unlike classical monolayer-based models, spheroids strikingly mirror the 3D cellular context and therapeutically relevant pathophysiological gradients of in vivo tumors. Some concepts for standardization and automation of spheroid culturing, monitoring and analysis are discussed, and the challenges to define the most convenient analytical endpoints for therapy testing are outlined. The potential of spheroids to contribute to either the elimination of poor drug candidates at the pre-animal and pre-clinical state or the identification of promising drugs that would fail in classical 2D cell assays is emphasised. Microtechnologies, in the form of micropatterning and microfluidics, are also discussed and offer the exciting prospect of standardized spheroid mass production to tackle high-throughput screening applications within the context of traditional laboratory settings. The extension towards more sophisticated spheroid coculture models which more closely reflect heterologous tumor tissues composed of tumor and various stromal cell types is also covered. Examples are given with particular emphasis on tumor-immune cell cocultures and their usefulness for testing novel immunotherapeutic treatment strategies. Finally, tumor cell heterogeneity and the extraordinary possibilities of putative cancer…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
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 [16]
Multicellular tumor spheroids provide a more physiologically relevant context for evaluating anticancer agents and delivery systems by mimicking the hierarchical structure, proliferation gradients, and stromal interactions found in native tumor tissues.
“By mimicking the hierarchical structure, proliferation gradients, and stromal interactions found in native tumor tissues, spheroids provide a more physiologically relevant context for evaluating anticancer agents and delivery systems [16,17].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [16]
Cites
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
Self-citationTumor-derived lactic acid modulates dendritic cell activation and antigen expression
Gottfried, E., Kunz-Schughart, L. A., Ebner, S., Mueller-Klieser, W., Hoves, S., Andreesen, R., Mackensen, A., & Kreutz, M. (2006) · Blood · doi:10.1182/blood-2005-05-1795 · Cited by 729 · see citing works
Self-citationGeneration of Multicellular Tumor Spheroids by the Hanging-Drop Method
Timmins, N. E., & Nielsen, L. K. (2007) · Methods in Molecular Medicine™ · doi:10.1007/978-1-59745-443-8_8 · Cited by 241 · see citing works
A reliable tool to determine cell viability in complex 3-d culture: the acid phosphatase assay
Friedrich, J., Eder, W., Castaneda, J., Doss, M., Huber, E., Ebner, R., & Kunz-Schughart, L. A. (2007) · SLAS DISCOVERY · doi:10.1177/1087057107306839 · Cited by 227 · see citing works
Analysis of growth of multicellular tumour spheroids by mathematical models.
Marušić, M., Bajzer, Ž., Freyer, J. P., & Vuk‐Pavlović, S. (1994) · Cell Proliferation · doi:10.1111/j.1365-2184.1994.tb01407.x · Cited by 203 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Deconstructing the third dimension – how 3D culture microenvironments alter cellular cues
Baker, B. M., & Chen, C. S. (2012) · Journal of Cell Science · doi:10.1242/jcs.079509 · Cited by 1,760 · see citing works
Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy
Mehta, G., Hsiao, A. Y., Ingram, M., Luker, G. D., & Takayama, S. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.04.045 · Cited by 1,172 · 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
Vinci, M., Gowan, S., Boxall, F., Patterson, L., Zimmermann, M., Court, W., Lomas, C., Mendiola, M., Hardisson, D., & Eccles, S. A. (2012) · BMC Biology · doi:10.1186/1741-7007-10-29 · Cited by 1,024 · 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
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
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
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
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
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
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
Three-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
Longati, P., Jia, X., Eimer, J., Wagman, A., Witt, M.-R., Rehnmark, S., Verbeke, C., Toftgård, R., Löhr, M., & Heuchel, R. L. (2013) · BMC Cancer · doi:10.1186/1471-2407-13-95 · Cited by 394 · see citing works
Riedl, A., Schlederer, M., Pudelko, K., Stadler, M., Walter, S., Unterleuthner, D., Unger, C., Kramer, N., Hengstschläger, M., Kenner, L., et al. (2016) · Journal of Cell Science · doi:10.1242/jcs.188102 · Cited by 389 · see citing works
Däster, S., Amatruda, N., Calabrese, D., Ivanek, R., Turrini, E., Droeser, R. A., Zajac, P., Fimognari, C., Spagnoli, G. C., Iezzi, G., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.13857 · Cited by 281 · see citing works
Integrating perfusable vascular networks with a three-dimensional tissue in a microfluidic device
Nashimoto, Y., Hayashi, T., Kunita, I., Nakamasu, A., Torisawa, Y.-S., Nakayama, M., Takigawa-Imamura, H., Kotera, H., Nishiyama, K., Miura, T., et al. (2017) · Integrative Biology · doi:10.1039/c7ib00024c · Cited by 266 · see citing works
Yip, D., & Cho, C. H. (2013) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2013.03.008 · Cited by 236 · see citing works
Gelatine Methacrylamide-Based Hydrogels: An Alternative Three-Dimensional Cancer Cell Culture System
Kaemmerer, E., Melchels, F. P. W., Holzapfel, B. M., Meckel, T., Hutmacher, D. W., & Loessner, D. (2014) · Acta Biomaterialia · doi:10.1016/j.actbio.2014.02.035 · Cited by 219 · 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
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
Drug discovery through stem cell-based organoid models
Ranga, A., Gjorevski, N., & Lutolf, M. P. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.02.006 · Cited by 195 · see citing works
Carey, S. P., Starchenko, A., McGregor, A. L., & Reinhart-King, C. A. (2013) · Clinical & Experimental Metastasis · doi:10.1007/s10585-013-9565-x · Cited by 174 · see citing works
3D scaffolds in breast cancer research
Rijal, G., & Li, W. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2015.12.016 · Cited by 169 · 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
Vörsmann, H., Groeber, F., Walles, H., Busch, S., Beissert, S., Walczak, H., & Kulms, D. (2013) · Cell Death & Disease · doi:10.1038/cddis.2013.249 · Cited by 168 · see citing works
“nodes, micrometastasis or inter-capillary micro regions of solid tumors (Figure 2a).(16,17) We next inserted a defined number of these spheroids (10)”
BackgroundMethodOptimization of liquid overlay technique to formulate heterogenic 3D co-cultures models
Costa, E. C., Gaspar, V. M., Coutinho, P., & Correia, I. J. (2014) · Biotechnology and Bioengineering · doi:10.1002/bit.25210 · Cited by 156 · see citing works
Unger, C., Kramer, N., Walzl, A., Scherzer, M., Hengstschläger, M., & Dolznig, H. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.10.015 · Cited by 158 · see citing works
Tumor cells and their crosstalk with endothelial cells in 3D spheroids
Shoval, H., Karsch-Bluman, A., Brill-Karniely, Y., Stern, T., Zamir, G., Hubert, A., & Benny, O. (2017) · Scientific Reports · doi:10.1038/s41598-017-10699-y · Cited by 138 · see citing works
Isotropic stress reduces cell proliferation in tumor spheroids
Montel, F., Delarue, M., Elgeti, J., Vignjevic, D., Cappello, G., & Prost, J. (2012) · New Journal of Physics · doi:10.1088/1367-2630/14/5/055008 · Cited by 130 · see citing works
Hsiao, A. Y., Tung, Y.-C., Kuo, C.-H., Mosadegh, B., Bedenis, R., Pienta, K. J., & Takayama, S. (2012) · Biomedical Microdevices · doi:10.1007/s10544-011-9608-5 · Cited by 129 · 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
Trackable Mitochondria-Targeting Nanomicellar Loaded with Doxorubicin for Overcoming Drug Resistance
Zhang, Y., Zhang, C., Chen, J., Liu, L., Hu, M., Li, J., & Bi, H. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b07219 · Cited by 109 · see citing works
A microfluidic platform for chemoresistive testing of multicellular pleural cancer spheroids
Ruppen, J., Cortes-Dericks, L., Marconi, E., Karoubi, G., Schmid, R. A., Peng, R., Marti, T. M., & Guenat, O. T. (2014) · Lab Chip · doi:10.1039/c3lc51093j · Cited by 105 · 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
Langan, L. M., Dodd, N. J. F., Owen, S. F., Purcell, W. M., Jackson, S. K., & Jha, A. N. (2016) · PLOS ONE · doi:10.1371/journal.pone.0149492 · Cited by 101 · see citing works
Beer, M., Kuppalu, N., Stefanini, M., Becker, H., Schulz, I., Manoli, S., Schuette, J., Schmees, C., Casazza, A., Stelzle, M., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01256-8 · Cited by 75 · see citing works
Buzhor, E., Harari-Steinberg, O., Omer, D., Metsuyanim, S., Jacob-Hirsch, J., Noiman, T., Dotan, Z., Goldstein, R. S., & Dekel, B. (2011) · Tissue Engineering Part A · doi:10.1089/ten.tea.2010.0595 · Cited by 72 · 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
In vitro modeling of the prostate cancer microenvironment
Ellem, S. J., De-Juan-Pardo, E. M., & Risbridger, G. P. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.04.008 · Cited by 68 · see citing works
Three-Dimensional Breast Cancer Models Mimic Hallmarks of Size-Induced Tumor Progression
Singh, M., Mukundan, S., Jaramillo, M., Oesterreich, S., & Sant, S. (2016) · Cancer Research · doi:10.1158/0008-5472.can-15-2304 · Cited by 68 · see citing works
Shah, S., & D’Souza, G. G. M. (2025) · Cells · doi:10.3390/cells14100732 · Cited by 66 · see citing works
“By mimicking the hierarchical structure, proliferation gradients, and stromal interactions found in native tumor tissues, spheroids provide a more physiologically relevant context for evaluating anticancer agents and delivery systems [16,17].”
Liu, D.-Z., Cheng, Y., Cai, R.-Q., Wang, B., Cui, H., Liu, M., Zhang, B.-L., Mei, Q.-B., & Zhou, S.-Y. (2018) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2018.01.004 · Cited by 66 · see citing works
Progress in melanoma modelling in vitro
Marconi, A., Quadri, M., Saltari, A., & Pincelli, C. (2018) · Experimental Dermatology · doi:10.1111/exd.13670 · Cited by 51 · see citing works
Voissiere, A., Jouberton, E., Maubert, E., Degoul, F., Peyrode, C., Chezal, J.-M., & Miot-Noirault, É. (2017) · PLOS ONE · doi:10.1371/journal.pone.0181340 · Cited by 49 · 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
A microfluidic gradient generator to simulate the oxygen microenvironment in cancer cell culture
Orcheston-Findlay, L., Hashemi, A., Garrill, A., & Nock, V. (2018) · Microelectronic Engineering · doi:10.1016/j.mee.2018.04.011 · Cited by 32 · see citing works
Avnet, S., Lemma, S., Cortini, M., Di Pompo, G., Perut, F., & Baldini, N. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00305 · Cited by 29 · see citing works
PDAC as an immune evasive disease: can 3D model systems aid to tackle this clinical problem?
Narayanan, S., Vicent, S., & Ponz-Sarvisé, M. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.787249 · Cited by 24 · see citing works
Chai, T. F., Manu, K. A., Casey, P. J., & Wang, M. (2020) · Oncogene · doi:10.1038/s41388-020-1364-7 · Cited by 20 · see citing works
A high-throughput microphysiological system to quantify key events leading to liver fibrosis
Schmidt, S., & Suter-Dick, L. (2025) · Toxicology · doi:10.1016/j.tox.2025.154248 · Cited by 3 · see citing works
- Authors
- Hirschhaeuser, F., Menne, H., Dittfeld, C., West, J., Mueller-Klieser, W., & Kunz-Schughart, L. A.
- Affiliations
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Leibniz Institute for Analytical Sciences - ISAS (DE)
- OncoRay (DE)
- Venue
- Journal of Biotechnology
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 148
- Issue
- 1
- Pages
- 3-15
- ISSN
- 0168-1656 (ISSN-L)
- OpenAlex
- W2136445803
- Cited by
- 1,674
- References
- 5
- Citations by year
- 2026: 71 · 2025: 90 · 2024: 99 · 2023: 96 · 2022: 92 · 2021: 122 · 2020: 129 · 2019: 128 · 2018: 132 · 2017: 138 · 2016: 157 · 2015: 104 · 2014: 119 · 2013: 95 · 2012: 48
- FWCI
- 31.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- 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
- tumor spheroids, anticancer drug screening, 3D tumor models, therapeutic endpoints, micropatterning, microfluidics, high-throughput screening, tumor stroma, tumor heterogeneity, cancer stem cells, drug development
- MeSH terms
- Animals, Drug Evaluation, Preclinical, Humans, Tumor Cells, Cultured, Spheroids, Cellular, Coculture Techniques, Microfluidic Analytical Techniques, Mice, High-Throughput Screening Assays
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review