Departments of Thoracic Surgery, Cancer Hospital and Institute, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Bioinformatics Laboratory and Laboratory of Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Cancer Lett. 2014 Aug 1;350(1-2):34-42. doi: 10.1016/j.canlet.2014.04.013. Epub 2014 Apr 24.
In this study, we analyzed the microRNA (miRNA) expression profile of 119 paired ESCC samples by microarray and identified a four-miRNA signature that predicted patient survival. The signature derived from the training set (n=60) had a good prognostic value in the test set (n=59) and the independent cohort (n=58), indicating the replicability of its prognostic value. Furthermore, the stratified analysis showed that the signature could predict the survival of TNM stage II and stage III patients, indicating that the four-miRNA signature could help to more accurately predict ESCC patient survival.
在这项研究中,我们通过微阵列分析了 119 对 ESCC 样本的 microRNA(miRNA)表达谱,并确定了一个预测患者生存的四 miRNA 特征。该特征来自训练集(n=60),在测试集(n=59)和独立队列(n=58)中具有良好的预后价值,表明其预后价值具有可重复性。此外,分层分析表明,该特征可以预测 TNM 分期 II 期和 III 期患者的生存情况,表明四 miRNA 特征可以帮助更准确地预测 ESCC 患者的生存情况。