Zhou Xin, Huang Zebo, Xu Lei, Zhu Mingxia, Zhang Lan, Zhang Huo, Wang Xiaping, Li Hai, Zhu Wei, Shu Yongqian, Liu Ping
Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Department of Thoracic Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210029, China.
Oncotarget. 2016 Oct 25;7(43):69616-69624. doi: 10.18632/oncotarget.11903.
Some reports have evaluated the prognostic relevance of microRNAs (miRNAs) in patients with pancreatic cancer (PC). However, most studies focused on limited miRNAs with small number of patients. The aim of the study is to identify a panel of miRNA signature that could predict prognosis in PC with the data from The Cancer Genome Atlas (TCGA). A total of 167 PC patients with the corresponding clinical data were enrolled in our study. The miRNAs significantly associated with overall survival (OS) in PC patients were identified with Cox proportional regression model. A risk score formula was developed to evaluate the prognostic value of the miRNA signature in PC. Thirteen miRNAs were identified to be significantly related with OS in PC patients. Patients with high risk score suffered poor overall survival compared with patients who had low risk score. The multivariate Cox regression analyses showed that the miRNA signature could act as an independent prognostic indicator. In addition, the signature might serve as a predicator for treatment outcome. Our study identified a miRNA signature including 13 miRNAs which could serve as an independent marker in prognosis of PC.
一些报告评估了微小RNA（miRNA）在胰腺癌（PC）患者中的预后相关性。然而，大多数研究聚焦于少数患者的有限几种miRNA。本研究的目的是利用癌症基因组图谱（TCGA）的数据，鉴定一组能够预测PC预后的miRNA特征。共有167例具有相应临床数据的PC患者纳入我们的研究。采用Cox比例回归模型确定与PC患者总生存期（OS）显著相关的miRNA。开发了一个风险评分公式来评估miRNA特征在PC中的预后价值。已确定13种miRNA与PC患者的OS显著相关。与低风险评分患者相比，高风险评分患者的总生存期较差。多因素Cox回归分析表明，miRNA特征可作为独立的预后指标。此外，该特征可能作为治疗结果的预测指标。我们的研究鉴定了一个包含13种miRNA的miRNA特征，其可作为PC预后的独立标志物。
