Carboplatin's Effect on Gene Expression in Ovarian Cancer
Author Information
Author(s): Konstantinopoulos Panagiotis A, Fountzilas Elena, Pillay Kamana, Zerbini Luiz F, Libermann Towia A, Cannistra Stephen A, Spentzos Dimitrios
Primary Institution: Beth Israel Deaconess Medical Center, Harvard Medical School
Hypothesis
Can dynamic gene expression changes after carboplatin exposure predict clinical outcomes in ovarian cancer?
Conclusion
Gene expression changes following carboplatin exposure can identify genes and pathways correlated with clinical outcomes in ovarian cancer.
Supporting Evidence
- 317 genes and 40 pathways were identified as deregulated after carboplatin exposure.
- The time-course and pathway signatures were validated in independent datasets.
- High-risk and low-risk groups for survival were distinguished based on gene expression signatures.
Takeaway
This study shows that looking at how genes change when cancer cells are treated with carboplatin can help predict how well patients will do.
Methodology
The study used time-course microarray experiments to analyze gene expression in ovarian cancer cells treated with carboplatin.
Limitations
The study's findings may not be generalizable beyond the specific cell lines and conditions tested.
Statistical Information
P-Value
p<0.005
Confidence Interval
95% C.I. 1.3 – 4.2
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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