Gene Expression Profile and Survival in Ovarian Cancer
Author Information
Author(s): Crijns Anne P. G, Fehrmann Rudolf S. N, de Jong Steven, Gerbens Frans, Meersma Gert Jan, Klip Harry G, Hollema Harry, Hofstra Robert M. W, te Meerman Gerard J., de Vries Elisabeth G. E, van der Zee Ate G. J.
Primary Institution: University Medical Centre Groningen, University of Groningen
Hypothesis
Can a gene expression profile predict overall survival in advanced stage serous ovarian cancer?
Conclusion
The study identifies an 86-gene expression profile that predicts overall survival in advanced serous ovarian cancer.
Supporting Evidence
- An 86-gene overall survival profile discriminated between patients with unfavorable and favorable prognosis.
- Median survival was 19 months for high-risk patients and 41 months for low-risk patients.
- Seventeen pathways and thirteen transcription factors were associated with overall survival.
Takeaway
Researchers looked at genes in ovarian cancer to see which ones help predict how long patients might live. They found a group of 86 genes that can give clues about survival.
Methodology
Gene expression profiling was performed using microarrays on tumor samples from patients, followed by statistical analysis to identify survival-related genes.
Potential Biases
Potential biases due to differences in microarray platforms and sample processing.
Limitations
The study's findings need further validation in prospective studies and may be affected by intratumor heterogeneity.
Participant Demographics
Patients with advanced-stage serous ovarian cancer treated at the University Medical Center Groningen.
Statistical Information
P-Value
0.0014
Confidence Interval
95% CI 1.19–3.16
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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