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作 者:王玉波 马东慎 骆丹 范美婷 刘慧 WANG Yubo;MA Dongshen;LUO Dan;FAN Meiting;LIU Hui(Department of Pathology,the Affiliated Hospital of Xuzhou Medical University,Xuzhou,Jiangsu 221002,China)
机构地区:[1]徐州医科大学附属医院病理科,江苏徐州221002
出 处:《徐州医科大学学报》2024年第3期195-201,共7页Journal of Xuzhou Medical University
基 金:徐州市科技计划重点研发项目(KC21207)。
摘 要:目的 根据mRNA组学数据筛选弥漫大B细胞淋巴瘤(DLBCL)预后相关基因并建立预后模型。方法 从TCGA数据库下载NCICCR-DLBCL数据集中234例DLBCL患者mRNA组学数据和预后数据作为训练集,从GEO数据库下载GSE87371数据集中223例DLBCL患者相应数据作为验证集,通过Cox回归分析、Kaplan-Meier分析和LASSO分析建立预后模型,结合生存曲线和ROC曲线验证模型的准确性。采用免疫组化法验证117例DLBCL组织中CD70蛋白的表达及其与预后的关系。结果 构建包含14个独立预后预测mRNA(ANO3、ZNF93、RAD9B、PROC、ZSCAN20、RBBP9、SLC18B1、CXorf21、MUC12、CYP2U1、VSIG4、CCDC178、CD70、GHRH)的预后模型。高风险组生存时间显著短于低风险组(P<0.000 1),ROC 1年、3年和5年生存率曲线下面积分别为0.92、0.90和0.91。CD70阳性组与阴性组的Kaplan-Meier生存曲线差异有统计学意义(P=0.009 4),阳性组生存时间较短。结论 成功建立了基于mRNA表达的DLBCL预后预测模型,为mRNA转录组学在DLBCL预后预测中的实际应用提供了可行性方案,并在临床样本中证实CD70高表达与DLBCL预后密切相关,可作为临床预后评价的指标之一。Objective To screen the prognosis-related genes for diffuse large B-cell lymphoma(DLBCL)based on mRNA omics data and establish a prognostic model.Methods The mRNA-omics data and prognostic data of 234 DLBCL patients in the NCICCR-DLBCL dataset were downloaded from the TCGA database as a training set,while the corresponding data of 223 DLBCL patients in GSE87371 dataset were downloaded from GEO database as a validation set.A prognostic model was established through Cox regression analysis,Kaplan-Meier analysis and LASSO analysis,and its accuracy was validated by Kaplan-Meier survival curve and ROC curve.Finally,the expression of CD70 protein was detected in 117 DLBCL tissues by immunohistochemistry.Results The prognostic model was established,which contained 14 significantly independent mRNA marker(ANO3,ZNF93,RAD9B,PROC,ZSCAN20,RBBP9,SLC18B1,CXorf21,MUC12,CYP2U1,VSIG4,CCDC178,CD70,and GHRH).The high risk group showed remarkably shorter median survival time than the low risk group(P<0.0001),and the area under the ROC for 1-year,3-year and 5-year-survival were 0.92,0.90 and 0.91,respectively.There were statistical differences between CD70 positive and negative patients in Kaplan-Meier survival curve(P=0.0094),with shorter survival in the positive group.Conclusions The DLBCL prognosis prediction model based on mRNA expression is successfully established,which provides a feasible solution for the application of mRNA transcriptomics for predicing DLBCL prognosis.It is confirmed in clinical samples that high CD70 expression is closely related to the prognosis of DLBCL,which can be used as one of the indicators for clinical prognosis evaluation.
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