基于数据挖掘分析GOLM1基因在前列腺癌中的表达及其临床意义

目的探讨GOLM1基因在前列腺癌中的表达及临床意义。方法利用Oncomine数据库分析GOLM1基因在前列腺癌与其癌旁正常组织组织中的表达情况,从TCGA数据库中下载相关的RNA-Seq数据和临床资料,分析GOLM1基因表达与患者临床病理学特征及预后的关系。结果 Oncomine及TCGA数据库分析结果显示,GOLM1基因在前列腺癌组织中的表达显著高于癌旁正常组织(P<0.001)。相关分析结果显示,TCGA数据库中547例前列腺癌患者GOLM1 mRNA表达水平与其年龄、临床T分期、病理学T分期及Gleason评分的相关性不大;低表达GOLM1基因的患者总生存期显著较高表达者长(HR=4.50,95%CI:3.77~5.37,P=0.038);ROC曲线分析显示最佳截断点为8.889,灵敏度为80.5%,特异度为80.8%,ROC曲线下面积为0.862(95%CI:0.813~0.912)。结论 GOLM1基因在前列腺癌组织中高表达,且与患者不良预后相关,可作为前列腺癌较好的诊断标志物。

Analysis of GOLM1 gene expression in prostate cancer and its effect on prognosis based on data mining

 Objective To investigate the expression of GOLM1 gene in prostate cancer and its clinical significance. Methods The Oncomine database was used to analyze the expression of GOLM1 gene in prostate cancer and normal prostate tissues. RNA-Seq data and clinical data downloaded from TCGA data，was analyzed the correlation between GOLM1 gene expression and clinicopathological features and prognosis. Results The analysis of Oncomine and TCGA databases showed that the expression of GOLM1 gene in prostate cancer tissues was significantly higher than that in normal prostate tissues（P<0.001）. By analyzing the clinical data in 547 patients，it was found that the expression level of GOLM1 gene was not significantly correlated with age，Clinical T stage，Pathological T stage，and Gleason score. Kaplan-Meier analysis found that low expression of GOLM1 gene patients with overall survival was significantly longer than those with high expression（HR=4.50，95%CI：3.77-5.37，P=0.038）. ROC curve analysis showed that the best cutoff point was 8.889，the sensitivity was 80.5%，the specificity was 80.8%，and the area under the ROC cwrve was 0.530（95%CI：0.813-0.912）. Conclusions The GOLM1 gene is highly expressed in prostate cancer tissues and its expression level is related to poor prognosis. GOLM1 mRNA can be used as a candidate prostate cancer marker.