The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Advanced Cell Culture Techniques for Cancer Drug Discovery
Open accessAbstract
Human cancer cell lines are an integral part of drug discovery practices. However, modeling the complexity of cancer utilizing these cell lines on standard plastic substrata, does not accurately represent the tumor microenvironment. Research into developing advanced tumor cell culture models in a three-dimensional (3D) architecture that more prescisely characterizes the disease state have been undertaken by a number of laboratories around the world. These 3D cell culture models are particularly beneficial for investigating mechanistic processes and drug resistance in tumor cells. In addition, a range of molecular mechanisms deconstructed by studying cancer cells in 3D models suggest that tumor cells cultured in two-dimensional monolayer conditions do not respond to cancer therapeutics/compounds in a similar manner. Recent studies have demonstrated the potential of utilizing 3D cell culture models in drug discovery programs; however, it is evident that further research is required for the development of more complex models that incorporate the majority of the cellular and physical properties of a tumor.
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.
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
Can the pharmaceutical industry reduce attrition rates?
Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167
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
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805
A tense situation: forcing tumour progression
Butcher, D. T., Alliston, T., & Weaver, V. M. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2544 · Cited by 1,940
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
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
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
Three-dimensional cell culture: the missing link in drug discovery
Breslin, S., & O’Driscoll, L. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2012.10.003 · Cited by 1,332
Cited by
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
Targeting Tumor Microenvironment for Cancer Therapy
Roma-Rodrigues, C., Mendes, R., Baptista, P. V., & Fernandes, A. R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20040840 · Cited by 1,187
3D tumor spheroids: an overview on the tools and techniques used for their analysis
Costa, E. C., Moreira, A. F., de Melo-Diogo, D., Gaspar, V. M., Carvalho, M. P., & Correia, I. J. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.11.002 · Cited by 929
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
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
Metadata
- Authors
- Lovitt, C., Shelper, T., & Avery, V.
- Venue
- Biology
- Publisher
- MDPI AG
- Published
- 2014-05-30
- Volume
- 3
- Issue
- 2
- Pages
- 345-367
- ISSN
- 2079-7737 (ISSN-L)
- OpenAlex
- W2011244979
- Cited by
- 282
- References
- 99
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advanced Cell Culture Techniques for Cancer Drug Discovery. https://app.cochat.ai/papers/10.3390/biology3020345
- The paper
- Lovitt, C., Shelper, T., & Avery, V. (2014). Advanced Cell Culture Techniques for Cancer Drug Discovery. Biology. https://doi.org/10.3390/biology3020345
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
