Identification and validation of AIB1 and EIF5A2 for noninvasive detection of bladder cancer in urine samples.
Identification and validation of AIB1 and EIF5A2 for noninvasive detection of bladder cancer in urine samples.
复制标题
尿液样本中 AIB1 和 EIF5A2 无创检测膀胱癌的鉴定和验证
DOI：
10.18632/oncotarget.9406
复制
发表时间：
2016-07-05
期刊：
影响因子：
--
通讯作者：
Chen W
中科院分区：
文献类型：
--
作者：
Zhou BF;Wei JH;Chen ZH;Dong P;Lai YR;Fang Y;Jiang HM;Lu J;Zhou FJ;Xie D;Luo JH;Chen W
我们先前证明，乳腺癌扩增因子1（AIB 1）和真核起始因子2（EIF 5A2）过表达是膀胱癌（BCa）患者临床预后不良的独立预测因子。在这项研究中，我们评估了AIB1和EIF5A2单独使用以及与核基质蛋白22（NMP22）联合使用作为BCa非侵入性诊断测试的有用性。使用来自135名患者（训练集，对照[n = 50]和BCa [n = 85]）的尿液样本，我们使用酶联免疫吸附测定法检测AIB 1、EIF 5A2和NMP 22浓度。我们应用多变量逻辑回归分析建立了一个基于三个生物标志物的BCa诊断模型。通过受试者操作特征的曲线下面积（AUC）评估和比较三种生物标志物和模型的诊断准确性。我们在210名患者的独立验证队列中验证了这些生物标志物和模型的诊断准确性。在训练集中，尿中AIB1，EIF5A2和NMP22的浓度在BCa中显著升高。AIB 1、EIF 5A2、NMP 22和模型的AUC分别为0.846、0.761、0.794和0.919。当与AIB1、EIF5A2或NMP22相比时，该模型具有最高的诊断准确性（对于所有模型，p < 0.05）。该模型具有92%的灵敏度和92%的特异性。我们在独立验证队列中获得了类似的结果。AIB1和EIF5A2显示出对BCa的非侵入性检测的希望。基于AIB1、EIF5A2和NMP22的模型在检测BCa方面优于三种单独的生物标志物。
We previously demonstrated that amplified in breast cancer 1 (AIB1) and eukaryotic initiation factor 2 (EIF5A2) overexpression was an independent predictor of poor clinical outcomes for patients with bladder cancer (BCa). In this study, we evaluated the usefulness of AIB1 and EIF5A2 alone and in combination with nuclear matrix protein 22 (NMP22) as noninvasive diagnostic tests for BCa. Using urine samples from 135 patients (training set, controls [n = 50] and BCa [n = 85]), we detected the AIB1, EIF5A2, and NMP22 concentrations using enzyme-linked immunosorbent assay. We applied multivariate logistic regression analysis to build a model based on the three biomarkers for BCa diagnosis. The diagnostic accuracy of the three biomarkers and the model were assessed and compared by the area under the curve (AUC) of the receiver operating characteristic. We validated the diagnostic accuracy of these biomarkers and the model in an independent validation cohort of 210 patients. In the training set, urinary concentrations of AIB1, EIF5A2, and NMP22 were significantly elevated in BCa. The AUCs of AIB1, EIF5A2, NMP22, and the model were 0.846, 0.761, 0.794, and 0.919, respectively. The model had the highest diagnostic accuracy when compared with AIB1, EIF5A2, or NMP22 (p < 0.05 for all). The model had 92% sensitivity and 92% specificity. We obtained similar results in the independent validation cohort. AIB1 and EIF5A2 show promise for the noninvasive detection of BCa. The model based on AIB1, EIF5A2, and NMP22 outperformed each of the three individual biomarkers for detecting BCa.
登录
查看更多内容
EIF5A2 可预测局部浸润性膀胱癌的结果，并在体外和体内促进膀胱癌细胞的侵袭性。
影响因子：
8.8
作者：
Wei, J-H;Cao, J-Z;Zhang, D.;Liao, B.;Zhong, W-M;Lu, J.;Zhao, H-W;Zhang, J-X;Tong, Z-T;Fan, S.;Liang, C-Z;Liao, Y-B;Pang, J.;Wu, R-H;Fang, Y.;Chen, Z-H;Li, B.;Xie, D.;Chen, W.;Luo, J-H
通讯作者：
Luo, J-H
影响因子：
8.8
作者：
Gnanapragasam VJ;Leung HY;Pulimood AS;Neal DE;Robson CN
通讯作者：
Robson CN
影响因子：
5.7
作者：
Luo, Jun-Hang;Hua, Wen-Feng;Xie, Dan
通讯作者：
Xie, Dan
DOI：
10.1016/j.jsbmb.2007.03.007
发表时间：
2007-05-01
影响因子：
4.1
作者：
Sakaguchi, Hideki;Fujimoto, Jiro;Tamaya, Teruhiko
通讯作者：
Tamaya, Teruhiko
影响因子：
3.3
作者：
Xie, Dan;Ma, Ning-Fang;Guan, Xin-Yuan
通讯作者：
Guan, Xin-Yuan