Identification of differentially expressed genes-related prognostic risk model for survival prediction in breast carcinoma patients.
Since the imbalance of gene expression has been demonstrated to tightly related to breast cancer (BRCA) genesis and growth, common genes expressed of BRCA were screened to explore the essence in-between. In current work, most common differentially expressed genes (DEGs) in various subtypes of BRCA were identified. Functional enrichment analysis illustrated the driving factor of deactivation of the cell cycle and the oocyte meiosis, which critically triggers the development of BRCA. Herein, we constructed a 12-gene prognostic risk model relative to differential gene expression. Subsequently, the K-M curves, analysis on time-ROC curve and Cox regression were performed to assess this risk model by determining the respective prognostic value, and the prediction performance were ascertained for both training and validation cohorts. In addition, multivariate Cox regression was analysed to reveal the independence between risk score and prognostic stage, and the accuracy and sensitivity of prognosis are particularly improved after clinical indicators are included into the analysis. In summary, this study offers novel insights into the imbalance of gene expression within BRCA, and highlights 12 selected genes associated with patient prognosis. The risk model can help individualize treatment for patients at different risks, and propose precise strategies and treatments for BRCA therapy.
['Li|Jinyu|J|', 'Huang|Gena|G|', 'Ren|Caixia|C|', 'Wang|Ning|N|', 'Sui|Silei|S|', 'Zhao|Zuowei|Z|', 'Li|Man|M|']
D001943:Breast Neoplasms D030541:Databases, Genetic D005260:Female D020869:Gene Expression Profiling D015972:Gene Expression Regulation, Neoplastic D063990:Gene Ontology D006801:Humans D008954:Models, Biological D015999:Multivariate Analysis D011379:Prognosis D016016:Proportional Hazards Models D060066:Protein Interaction Maps D012333:RNA, Messenger D012307:Risk Factors D016019:Survival Analysis
prognostic risk model breast cancer differentially expressed genes Cox regression prognostic outcome