Protein Networks as Logic Functions in Development and Cancer
2011
Protein Networks as Logic Functions in Development and Cancer
Sample size: 295
publication
10 minutes
Evidence: high
Author Information
Author(s): Dutkowski Janusz, Ideker Trey
Primary Institution: University of California San Diego
Hypothesis
How do the proteins within each module contribute to the overall module activity?
Conclusion
The study identifies predictive modules and logic functions that link protein activity to biological outcomes in development and cancer.
Supporting Evidence
- The study shows that certain combinations of oncogenes and tumor suppressors can influence cancer outcomes.
- Network-Guided Forests identified robust biomarkers across different sample cohorts.
- Modules identified were reproducible across independent datasets.
Takeaway
This study shows that groups of proteins work together like a team to control important processes in our bodies, like how tissues develop and how cancer progresses.
Methodology
The study used a new method called Network-Guided Forests to analyze gene expression data and protein interaction networks.
Participant Demographics
295 nonfamilial breast cancer patients, including 78 with detected metastasis.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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