Modelling breast cancer: one size does not fit all
By T. Vargo-Gogola, Jeffrey M. Rosen. Nature Reviews. Cancer, 2007
712 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology, Oncology
View Paper: https://www.semanticscholar.org/paper/63aecbf792ef0e4f83c37d839dcc7e512ffb5bb3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
In Oncology
Citations in the corpus
- Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44 (2009, background): “CD44 is the receptor for HA, one of the extracellular matrix components [28], and as shown in supporting information Figure S1, CD44 expressed in MKN-45 cells actually bound to HA and the different staining patterns of CD44 might originate from different HA localization patterns.”
- Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery (2009, background): “Breast cancer cell lines have been used widely to investigate breast cancer pathobiology, and to screen and characterize new therapeutics [6,7].”
- A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. (2018, neutral): “Although both model systems have contributed tremendously to translational BC research, they also have drawbacks (Vargo-Gogola and Rosen, 2007).”
- Choosing the right cell line for breast cancer research (2011, background): “Although questions have been raised over how representative immortalised cell lines are of human breast cancer [15], when used in the right way these remain powerful experimental tools and in many instances the information derived from these has translated into clinical benefi t.”