| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6184445 | Gynecologic Oncology | 2014 | 8 Pages |
â¢IRF1 and its mechanistic pathway were found by global gene expression analysis to be linked to platinum resistance in OvCA.â¢Using TCGA and GEO data sets, IRF1 is shown to be a prognostic marker for PFS and OS survival in HGSOC.
ObjectiveHigh-grade serous ovarian cancer (HGSOC) that is resistant to platinum-based chemotherapy has a particularly poor prognosis. Response to platinum has both prognostic survival value and dictates secondary treatment strategies. Using transcriptome analysis, we sought to identify differentially expressed genes/pathways based on a tumor's platinum response for discovering novel predictive biomarkers.MethodsSeven primary HGSOC tumor samples, representing two extremes of platinum sensitivity/timing of disease recurrence, were analyzed by RNA-Seq, Ingenuity Pathways Analysis (IPA) and Upstream Regulator Analysis (URA), and used to explore differentially expressed genes and prevalent molecular and cellular processes. Progression-free and overall survival (PFS, OS) was estimated using the Kaplan-Meier method in two different sample sets including GEO and TCGA data sets.ResultsIPA and URA highlighted an IRF1-driven transcriptional program (PÂ =Â 0.0017; z-score of 3.091) in the platinum sensitive improved PFS group. QRT-PCR analysis of 31 HGSOC samples demonstrated a significant difference in PFS between low and high IRF1 expression groups (PÂ =Â 0.048) and between groups that were platinum sensitive versus not (PÂ =Â 0.016). In a larger validation data set, increased levels of IRF1 were associated with both increased PFS (PÂ =Â 0.043) and OS (PÂ =Â 0.019) and the effect on OS was independent of debulking status (optimal debulking, PÂ =Â 0.025; suboptimal, PÂ =Â 0.041).ConclusionTranscriptome analysis identifies IRF1, a transcription factor that functions both in immune regulation and as a tumor suppressor, as being associated with platinum sensitivity and an independent predictor of both PFS and OS in HGSOC.
