Asselah T, Bieche I, Narguet S, Sabbagh A, Laurendeau I, Ripault M-P, Boyer N, Martinot-Peignoux M, Valla D, Vidaud M, Marcellin P
Service d'Hépatologie, Pôle des Maladies de l'Appareil Digestif and INSERM U773, CRB3, University of Paris VII, AP-HP Beaujon Hospital, Clichy, France.
Gut. 2008 Apr;57(4):516-24. doi: 10.1136/gut.2007.128611. Epub 2007 Sep 25.
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.
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.
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.
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).
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。
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。
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。
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。