Comparing Gene Signatures for Breast Cancer Prognosis
Author Information
Author(s): Haibe-Kains Benjamin, Desmedt Christine, Piette Fanny, Buyse Marc, Cardoso Fatima, van't Veer Laura, Piccart Martine, Bontempi Gianluca, Sotiriou Christos
Primary Institution: Jules Bordet Institute, Université Libre de Bruxelles
Hypothesis
How do different gene expression signatures compare in predicting distant metastasis free survival in breast cancer patients?
Conclusion
The three gene expression signatures showed similar prognostic performance, indicating their clinical relevance despite differences in development.
Supporting Evidence
- The study used an independent validation series of untreated breast cancer patients.
- Agreement in prediction was observed for 135 of 198 patients (68%) across the three signatures.
- The three signatures added significant prognostic information beyond classical parameters.
Takeaway
Scientists looked at three different tests to see how well they predict if breast cancer will come back, and they found that all three tests worked about the same.
Methodology
The study compared three gene expression signatures using data from an independent validation series of untreated breast cancer patients.
Potential Biases
Potential biases may arise from the use of different microarray platforms and algorithms.
Limitations
The study's findings may not apply to all breast cancer patients due to the specific population studied.
Participant Demographics
Patients were younger than 61 years, had node-negative, T1–T2 tumors, and did not receive adjuvant treatment.
Statistical Information
P-Value
2.1 × 10-4
Confidence Interval
95% CI: 1.35–3.34
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website