2D and 3D Cell Cultures - a Comparison of Different Types of Cancer Cell Cultures
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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.
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Long-term culture of primary patient-derived samples in 2D often leads to phenotypic changes and differential responses to drug treatments.
“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
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- 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 · 2013: 1
- 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 ›
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