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用于预测胃癌患者预后的RNA结合蛋白表达特征的开发

Development of RNA binding proteins expression signature for prognosis prediction in gastric cancer patients.

作者信息

Zhou Liqiang, Wu You, Xin Lin, Zhou Qi, Li Shihao, Yuan Yiwu, Wang Jinliang, Wu Dengzhong

机构信息

Department of General Surgery, The Second Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.

出版信息

Am J Transl Res. 2020 Oct 15;12(10):6775-6792. eCollection 2020.

Abstract

It was reported that the expression of RNA binding proteins (RBPs) in malignant tumors is dysregulated and is closely related to tumorigenesis. However, some studies have confirmed the role of RBPs in gastric cancer (GC). We obtained data on gastric cancer in The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx), and identified RBPs that are dysregulated between gastric normal and cancer tissues. Then, we systematically investigated the expression characteristics and clinical prognostic potential of these RBPs through bioinformatics methods. We found 278 dysregulated RBPs in the GC, 91 of which were up-regulated and 181 were down-regulated. We detected 4 hub RBPs (HNRNPL, PABPN1, PCF, SNRPN) are related to overall survival (OS), and 3 hub RBPs (EEF1A2, MRPS5, PCF1) are related to disease-specific survival (DSS), and furthermore, we constructed prognostic signatures. Analysis of the OS and DSS signature showed that the GC patients with high-risk groups have worse OS and DSS than the low-risk groups. The receiver operator characteristic (ROC) curves of the 5-year survival rate of OS and DSS prognosis signature were drawn, and the areas under the two curves were 0.62 and 0.64, respectively. We constructed nomograms to predict OS and DSS, and evaluated by the calibration curve, which showed the GC prediction ability of these two models. Furthermore, the expression of the above six genes was verified by PCR, which is consistent with our results.

摘要

据报道,RNA结合蛋白(RBPs)在恶性肿瘤中的表达失调,且与肿瘤发生密切相关。然而,一些研究已经证实了RBPs在胃癌(GC)中的作用。我们从癌症基因组图谱(TCGA)和基因型-组织表达(GTEx)中获取了胃癌数据,并鉴定出在胃正常组织和癌组织之间表达失调的RBPs。然后,我们通过生物信息学方法系统地研究了这些RBPs的表达特征和临床预后潜力。我们在GC中发现了278个表达失调的RBPs,其中91个上调,181个下调。我们检测到4个核心RBPs(HNRNPL、PABPN1、PCF、SNRPN)与总生存期(OS)相关,3个核心RBPs(EEF1A2、MRPS5、PCF1)与疾病特异性生存期(DSS)相关,此外,我们构建了预后特征。对OS和DSS特征的分析表明,高危组的GC患者的OS和DSS比低危组更差。绘制了OS和DSS预后特征的5年生存率的受试者工作特征(ROC)曲线,两条曲线下面积分别为0.62和0.64。我们构建了列线图来预测OS和DSS,并通过校准曲线进行评估,显示了这两个模型对GC的预测能力。此外,通过PCR验证了上述六个基因的表达,这与我们的结果一致。

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