Functional Convergence of Gene Expression Profiles in Breast Cancer
Author Information
Author(s): Shen Ronglai, Chinnaiyan Arul M, Ghosh Debashis
Primary Institution: Memorial Sloan-Kettering Cancer Center
Hypothesis
Are there common themes underlying prediction concordance of breast cancer gene signatures that are not apparent on the individual gene level?
Conclusion
Independent breast cancer signatures that perform equally well at predicting patient prognosis show minimal overlap in gene membership due to convergence on similar oncogenic pathways.
Supporting Evidence
- The study found that gene signatures converge on the activation of similar oncogenic pathways.
- Common features include the activation of the estrogen-signaling pathway and BRCA1-regulated pathways.
- High prediction concordance was observed across multiple breast cancer gene signatures despite minimal gene overlap.
Takeaway
Different tests for breast cancer can predict how likely a patient is to get worse, even if they don't use the same genes. They all point to similar pathways in the body.
Methodology
The study involved annotating gene-signatures to identify significantly enriched functional modules and assessing functional convergence across six breast cancer signatures.
Potential Biases
Potential biases may arise from the differences in patient cohort characteristics and the varying statistical procedures used in different studies.
Limitations
The study is limited by the small sample sizes used to derive gene signatures relative to the large number of genes analyzed.
Participant Demographics
The study analyzed data from 295 breast cancer patients.
Statistical Information
P-Value
0.0002
Statistical Significance
p=0.0002
Digital Object Identifier (DOI)
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