The DOI matches its Crossref record; 92 of the 93 references it cites were found in a registry or an index.
2D and 3D Cell Cultures - a Comparison of Different Types of Cancer Cell Cultures
Open accessAbstract
Cell culture is a widely used in vitro tool for improving our understanding of cell biology, tissue morphology, and mechanisms of diseases, drug action, protein production and the development of tissue engineering.Most research regarding cancer biology is based on experiments using two-dimensional (2D) cell cultures in vitro.However, 2D cultures have many limitations, such as the disturbance of interactions between the cellular and extracellular environments, changes in cell morphology, polarity, and method of division.These disadvantages led to the creation of models which are more closely able to mimic conditions in vivo.One such method is three-dimensional culture (3D).Optimisation of the culture conditions may allow for a better understanding of cancer biology and facilitate the study of biomarkers and targeting therapies.In this review, we compare 2D and 3D cultures in vitro as well as different versions of 3D cultures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In the citing paper
“While primary patient-derived samples are the gold standard for prediction of treatment response, long-term culture of these samples in 2D often leads to phenotypic changes and differential responses to drug treatments (Kapałczyńska 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 Kapałczyńska et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Matrix elasticity directs stem cell lineage specification
Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006) · Cell · doi:10.1016/j.cell.2006.06.044 · Cited by 13,915
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
Exploring and Engineering the Cell Surface Interface
Stevens, M. M., & George, J. H. (2005) · Science · doi:10.1126/science.1106587 · Cited by 2,607
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 2,347
Scudiero, D. A., Shoemaker, R. H., Paull, K. D., Monks, A. P., Tierney, S., Nofziger, T. H., Currens, M. J., Seniff, D. A., & Boyd, M. R. (1988) · PubMed · Cited by 2,342
Benya, P. D., & Shaffer, J. D. (1982) · Cell · doi:10.1016/0092-8674(82)90027-7 · Cited by 2,284
Geometric cues for directing the differentiation of mesenchymal stem cells
Kilian, K. A., Bugarija, B., Lahn, B. T., & Mrksich, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903269107 · Cited by 1,841
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
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
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
Flagged first, then by citations
1 of the 93 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [5]Jacoby W Pasten I Methods in Enzymology: Cell Culture 1979 58 New York Academic Press
Cited by
Sorted by citations
Is it time to start transitioning from 2D to 3D cell culture?
Jensen, C., & Teng, Y. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00033 · Cited by 1,640
Białkowska, K., Komorowski, P., Bryszewska, M. J., & Miłowska, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21176225 · Cited by 416
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
Could 3D models of cancer enhance drug screening?
Brancato, V., Oliveira, J. M., Correlo, V. M., Reis, R. L., & Kundu, S. C. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119744 · Cited by 290
Organ-on-a-chip meets artificial intelligence in drug evaluation
Deng, S., Li, C., Cao, J., Cui, Z., Du, J., Fu, Z. H., Yang, H., & Chen, P. (2023) · Theranostics · doi:10.7150/thno.87266 · Cited by 274
Metadata
- Authors
- Kapałczyńska, M., Kolenda, T., Przybyła, W., Zajączkowska, M., Teresiak, A., Filas, V., Ibbs, M., Bliźniak, R., Łuczewski, Ł., & Lamperska, K.
- Affiliations
- Greater Poland Cancer Center (PL)
- Poznan University of Medical Sciences (PL)
- Corresponding author
- Kolenda, Tomasz
- ORCID
- Venue
- Archives of Medical Science
- Publisher
- Termedia Sp. z.o.o.
- Published
- 2016
- Volume
- 14
- Issue
- 4
- Pages
- 910-919
- ISSN
- 1734-1922 (ISSN-L)
- PMC
- PMC6040128
- OpenAlex
- W2587788572
- Cited by
- 1,499
- References
- 93
- Citations by year
- 2026: 114 · 2025: 264 · 2024: 299 · 2023: 256 · 2022: 196 · 2021: 209 · 2020: 111 · 2019: 43 · 2018: 5
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Archives of Medical Science (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Keywords
- 2D cell culture, 3D cell culture, tumor cell culture, in vitro model, tumor biology, extracellular matrix, cell morphology, biomarkers, targeted therapy, tissue engineering
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
