Gene Expression Variation to Predict 10-Year Survival in Lymph-Node-Negative Breast Cancer
Author Information
Author(s): Karlsson Elin, Delle Ulla, Danielsson Anna, Olsson Björn, Abel Frida, Karlsson Per, Helou Khalil
Primary Institution: University of Gothenburg
Hypothesis
Can gene expression profiles predict clinical outcomes in lymph-node-negative breast cancer patients?
Conclusion
The study identified a set of 51 genes that may help predict clinical outcomes in breast cancer patients, potentially guiding treatment decisions.
Supporting Evidence
- The gene expression signature achieved 96% accuracy in predicting outcomes in the study's own dataset.
- The expression signature showed 74% accuracy when tested on an independent dataset.
- Previous studies have shown that gene expression can correlate with clinical outcomes in breast cancer.
Takeaway
Scientists found 51 genes that can help tell if breast cancer patients will survive for 10 years or not, which could help doctors decide on treatments.
Methodology
Gene expression microarrays were used to analyze 46 tumors from breast cancer patients, comparing those who survived 10 years to those who did not.
Potential Biases
Potential bias due to the exclusion of patients with intercurrent diseases and the homogeneity of the sample population.
Limitations
The study had a small sample size and the tumors were from a homogenous population, which may limit generalizability.
Participant Demographics
{"mean_age":50,"gender":"female","tumor_type":"lymph-node-negative breast cancer"}
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website