Peng Fei, Li Hui, Xiao Hailang, Li Ling, Li Yan, Wu Yi
Department of Laboratory, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.
Reproductive Department, Xiangya Hospital, Central South University, Changsha, China.
Oncotarget. 2017 Nov 6;8(62):105553-105560. doi: 10.18632/oncotarget.22318. eCollection 2017 Dec 1.
There is not a good biomaker that is closely related to survival time for bladder cancer(BLCA), The aim of the study is to identify a miRNA signature that could predict prognosis in BLCA patients according to the data from The Cancer Genome Atlas (TCGA). a total of 377 BLCA patients were finally enrolled in the study. The three miRNA signature was identified by Multivariate Cox proportional hazards analyses that common clinical variables were controled. The three microRNA signature showed greater predicting prognosis capacity for predicting 5-year survival in BLCA with an AUC of 0.664, 0.681 and 0.668 in Train set, Test set and Total set respectively. Furthermore, there was a significant difference between high score and low score in Total set(P=3e-05), Test set(P=0.00435) and Train set(P=0.00143), respectively. Therefore, these results provided a new prospect for prognostic biomarker of BLCA.
目前还没有与膀胱癌（BLCA）生存时间密切相关的良好生物标志物。本研究的目的是根据癌症基因组图谱（TCGA）的数据，确定一种能够预测BLCA患者预后的miRNA特征。最终共有377例BLCA患者纳入本研究。通过多变量Cox比例风险分析确定了三种miRNA特征，并对常见临床变量进行了控制。这三种microRNA特征在预测BLCA患者5年生存率方面显示出更强的预后预测能力，在训练集、测试集和总集中的AUC分别为0.664、0.681和0.668。此外，在总集（P = 3e - 05）、测试集（P = 0.00435）和训练集（P = 0.00143）中，高分和低分之间分别存在显著差异。因此，这些结果为BLCA的预后生物标志物提供了新的前景。
