Future Oncology · 2017 · 43 citations · 30 references
MedicineBiostatisticsOncologyCancer GeneticsGene ExpressionMolecular OncologyCancer BiomarkersCancer Survival AnalysisCancer TranscriptomicsMalignant NeoplasmsNoncoding Rna In CancerOvarian CancerCox RegressionDisease-free Survival AnalysisDisease-free Survival AssessmentNoncoding Rna Expression ProfilingOvarian Cancer BiomarkersOvarian Cancer Prognostic BiomarkersPrognostic Expression SignaturesPrognostic Rna Biomarkers
Aim: To investigate the association between NSUN2/IGF-II signature and ovarian cancer survival. Methods: Using a publicly accessible dataset of RNA sequencing and clinical follow-up data, we performed Classification and Regression Tree and survival analyses. Results: Patients with NSUN2 high IGF-II low had significantly superior overall and disease progression-free survival, followed by NSUN2 low IGF-II low, NSUN2 high IGF-II high and NSUN2 low IGF-II high (p < 0.0001 for overall, p = 0.0024 for progression-free survival, respectively). The associations of NSUN2/IGF-II signature with the risks of death and relapse remained significant in multivariate Cox regression models. Random-effects meta-analyses show the upregulated NSUN2 and IGF-II expression in ovarian cancer versus normal tissues. Conclusion: The NSUN2/IGF-II signature associates with heterogeneous outcome and may have clinical implications in managing ovarian cancer.
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