Blood Test for Breast Cancer Using Mouse Model
Author Information
Author(s): LaBreche Heather G, Nevins Joseph R, Huang Erich
Primary Institution: Duke University
Hypothesis
Can a mouse model of breast cancer be used to develop a blood-based diagnostic for human breast tumors?
Conclusion
The study successfully developed a blood-based predictor for breast cancer using gene expression data from a mouse model.
Supporting Evidence
- The predictor distinguished breast cancer patients from healthy individuals with 89% sensitivity and 100% specificity.
- The area under the curve (AUC) for the model was 0.97.
- Permutation testing confirmed the model's stability.
- The study utilized a transgenic mouse model to identify relevant gene expression changes.
Takeaway
Scientists used mice to find clues in their blood that can help detect breast cancer in humans.
Methodology
The study used gene expression data from mouse blood samples to develop a predictive model for human breast tumors.
Potential Biases
Potential bias in sample selection and processing.
Limitations
Further validation in larger, diverse populations is needed.
Participant Demographics
The training cohort included 10 breast cancer patients and 10 healthy individuals, while the validation cohort included 162 samples from various patient groups.
Statistical Information
P-Value
0.3760
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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