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Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
Published on: April 23, 2021
Modelling breast cancer: one size does not fit all
Tracy Vargo-Gogola1, Jeffrey M Rosen
1Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Nature Reviews. Cancer
|August 28, 2007
Summary
Breast cancer is a complex disease with many subtypes. This review discusses common breast cancer models like cell lines and xenografts to determine the most effective research approach for this heterogeneous condition.
Area of Science:
- Oncology
- Translational Research
- Disease Modeling
Background:
- Breast cancer is a heterogeneous disease, not a single entity.
- It exhibits significant variability in histopathology, genetics, and prognosis.
- No single model can fully represent the complexity of breast cancer.
Purpose of the Study:
- To evaluate common breast cancer models.
- To identify the most powerful approach for studying this heterogeneous disease.
Main Methods:
- Discussion of commonly used models: cell lines, xenografts, and genetically engineered mice.
- Analysis of the strengths and limitations of each model for breast cancer research.
Main Results:
- Each model (cell lines, xenografts, genetically engineered mice) offers unique insights into breast cancer.
- The optimal model choice depends on the specific research question and aspect of breast cancer being investigated.
Conclusions:
- A combination of models may be necessary to fully understand breast cancer heterogeneity.
- Selecting the appropriate model is crucial for advancing breast cancer research and treatment.
