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作 者:高倩[1] 李艳艳[1] 申亚男[1] 虞明星[1] 李璐[1] 郗彦凤[2] 王彤[1]
机构地区:[1]山西医科大学公共卫生学院卫生统计教研室,山西太原030001 [2]山西省肿瘤医院病理科,山西太原030013
出 处:《中华疾病控制杂志》2017年第5期510-513,共4页Chinese Journal of Disease Control & Prevention
基 金:国家自然科学基金(81473073)
摘 要:目的探讨磷酸二酯酶4B(phosphdiesterase 4B,PDE4B)基因过表达对弥漫大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)患者预后的影响,并分析其预后价值。方法从GEO(gene expression omnibus)数据库获得320例DLBCL患者的基因芯片数据,比较PDE4B基因过表达与正常表达患者生存率的差异。构建单变量国际预后指数(international prognostic index,IPI)、PDE4B和多变量(IPI+PDE4B)Cox比例风险模型,并用时点/动态受试者工作曲线(receiver operating characteristic curves,ROC)法分析模型的预测能力随时间的变化趋势,一致性统计量C用于评价和比较各模型的预测准确度。结果 PDE4B基因过表达的患者死亡的风险是正常表达的1.431倍(HR=1.431,95%CI:1.013~2.002,P=0.042)。多变量模型的C统计量与单变量模型相比,差异有统计学意义(IPI vs.IPI+PDE4B:Z=15.0,P<0.001;PDE4B vs.IPI+PDE4B:Z=53.7,P<0.001)。结论 PDE4B基因过表达是DLBCL患者预后的危险因素,结合IPI和PDE4B基因能提高DLBCL的预后准确性。Objective This study used to investigate the association between overexpressed phosphdiesterase 4B (PDE4B) and the prognosis of diffuse large B-cell lymphoma (DLBCL) and evaluate its predictive values.Methods Micro-array data of 320 patients with DLBCL was downloaded from gene expression omnibus (GEO) data set.The statistically significant test of overall survival (OS) between high and normal PDE4B expression level was made by Log-rank test.Univariate (international prognostic index,IPI or PDE4B) and multivariate (IPI + PDE4B) Cox proportional hazards model were constructed and time-dependent receiver operating characteristic curves method was used to analysis the tendency of model's predictive power over time.The overall prediction accuracy of each model was evaluated and compared with the C index.Results The risk of death in DLBCL patients with overexpressed PDF4B was 1.431 times (HR =1.431,95% CI:1.013-2.002,P =0.042) that of normal expression.C index was statistically significant difference (IPI vs.IPI + PDE4B:Z =15.0,P 〈 0.001;PDF4B vs.IPI + PDF4B:Z =53.7,P 〈 0.001) between multivariate and univariate Cox regression model.Conclusions Overexpressed PDE4B is a hazard for DLBCL.Prognostic accuracy of DLBCL may be improved by combining IPI and PDE4B.
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