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用于预测慢性丙型肝炎患者对聚乙二醇化干扰素联合利巴韦林治疗反应的肝脏基因表达特征

Liver gene expression signature to predict response to pegylated interferon plus ribavirin combination therapy in patients with chronic hepatitis C.

作者信息

Asselah T, Bieche I, Narguet S, Sabbagh A, Laurendeau I, Ripault M-P, Boyer N, Martinot-Peignoux M, Valla D, Vidaud M, Marcellin P

机构信息

Service d'Hépatologie, Pôle des Maladies de l'Appareil Digestif and INSERM U773, CRB3, University of Paris VII, AP-HP Beaujon Hospital, Clichy, France.

出版信息

Gut. 2008 Apr;57(4):516-24. doi: 10.1136/gut.2007.128611. Epub 2007 Sep 25.

Abstract

BACKGROUND AND AIMS

The gold standard treatment of chronic hepatitis C (CHC) is combined pegylated interferon and ribavirin. Considering side effects and treatment cost, prediction of treatment response before therapy is important. The aim of this study was to identify a liver gene signature to predict sustained virological response in patients with CHC.

METHODS

Group A (training set) comprised 40 patients with CHC including 14 non-responders (NRs) and 26 sustained virological responders (SVRs). Group B (validation set) comprised 29 patients including 9 NRs and 20 SVRs. Eleven responder-relapsers were also included. A total of 58 genes associated with liver gene expression dysregulation during CHC were selected from the literature. Real-time quantitative RT-PCR assays were used to analyse the mRNA expression of these 58 selected genes in liver biopsy specimens taken from the patients before treatment.

RESULTS

From the Group A data, three genes whose expression was significantly increased in NRs compared with SVRs were identified: IFI-6-16/G1P3, IFI27 and ISG15/G1P2. These three genes also showed significant differences in their expression profiles between NRs and SVRs in the independent sample (Group B). Supervised class prediction analysis identified a two-gene (IFI27 and CXCL9) signature, which accurately predicted treatment response in 79.3% (23/29) of patients from the validation set (Group B), with a predictive accuracy of 100% (9/9) and of 70% (14/20) in NRs and SVRs, respectively. The expression profiles of responder-relapsers did not differ significantly from those of NRs and SVRs, and 73% (8/11) of them were predicted as SVRs with the two-gene classifier.

CONCLUSION

NRs and SVRs have different liver gene expression profiles before treatment. The most notable changes occurred mainly in interferon-stimulated genes. Treatment response could be predicted with a two-gene signature (IFI27 and CXCL9).

摘要

背景与目的

慢性丙型肝炎(CHC)的金标准治疗方法是聚乙二醇化干扰素与利巴韦林联合使用。考虑到副作用和治疗成本,在治疗前预测治疗反应很重要。本研究的目的是确定一种肝脏基因特征,以预测CHC患者的持续病毒学应答。

方法

A组(训练集)包括40例CHC患者,其中14例无应答者(NRs)和26例持续病毒学应答者(SVRs)。B组(验证集)包括29例患者,其中9例NRs和20例SVRs。还纳入了11例复发应答者。从文献中选择了58个与CHC期间肝脏基因表达失调相关的基因。采用实时定量RT-PCR分析法分析治疗前从患者获取的肝活检标本中这58个选定基因的mRNA表达。

结果

根据A组数据,确定了三个基因,与SVRs相比,其在NRs中的表达显著增加:IFI-6-16/G1P3、IFI27和ISG15/G1P2。在独立样本(B组)中,这三个基因在NRs和SVRs之间的表达谱也显示出显著差异。监督分类预测分析确定了一个双基因(IFI27和CXCL9)特征,该特征准确预测了验证集(B组)中79.3%(23/29)患者的治疗反应,在NRs和SVRs中的预测准确率分别为100%(9/9)和70%(14/20)。复发应答者的表达谱与NRs和SVRs的表达谱无显著差异,其中73%(8/11)被双基因分类器预测为SVRs。

结论

NRs和SVRs在治疗前具有不同的肝脏基因表达谱。最显著的变化主要发生在干扰素刺激基因中。治疗反应可以用双基因特征(IFI27和CXCL9)进行预测。

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