Seven-Gene Prognostic Model for Ovarian Cancer
Author Information
Author(s): Sabatier R, Finetti P, Bonensea J, Jacquemier J, Adelaide J, Lambaudie E, Viens P, Birnbaum D, Bertucci F
Primary Institution: Institut Paoli-Calmettes
Hypothesis
Can a multigene expression model predict survival in ovarian carcinoma patients treated with platinum-based therapy?
Conclusion
A seven-gene model was defined that can predict outcomes in ovarian carcinoma patients, warranting further prospective studies.
Supporting Evidence
- The seven-gene model classified patients into 'Favourable' and 'Unfavourable' groups with significantly different overall survival rates.
- Five-year overall survival was 57% for the 'Favourable' group and 27% for the 'Unfavourable' group.
- The model outperformed individual prognostic factors in predicting patient outcomes.
Takeaway
Scientists found a way to use seven specific genes to help predict how well patients with ovarian cancer will do after treatment.
Methodology
Gene expression profiles from 401 ovarian carcinoma samples were analyzed to build and validate a seven-gene prognostic model.
Limitations
The study requires further validation in prospective studies to confirm the prognostic value of the model.
Participant Demographics
The study included 401 ovarian carcinoma samples, primarily from advanced-stage patients.
Statistical Information
P-Value
4.44E-06
Confidence Interval
95% CI=1.7–4.2
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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