Gene expression profiles in hepatitis C virus (HCV) and HIV coinfection: Class prediction analyses before treatment predict the outcome of anti-HCV therapy among HIV-coinfected persons
Gene expression profiles in hepatitis C virus (HCV) and HIV coinfection: Class prediction analyses before treatment predict the outcome of anti-HCV therapy among HIV-coinfected persons
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DOI：
10.1086/501365
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发表时间：
2006-04-15
影响因子：
6.4
通讯作者：
Kottilil, S
中科院分区：
文献类型：
--
作者：
Lempicki, RA;Polis, MA;Kottilil, S
治疗人类免疫缺陷病毒（HIV）感染患者的丙型肝炎病毒（HCV）感染导致适度的治愈率。29例HIV和HCV共感染患者外周血单个核细胞的基因表达模式用于预测HCV感染治疗的病毒学应答。使用治疗前样本的预测分析确定了79个基因，这些基因正确分类了所有10名对治疗无反应的患者，10名患者中的8名在治疗结束时有反应，9名患者中的7名有持续的病毒学反应（总体为86%）。对17个治疗后样本的分析确定了105个基因，这些基因正确地分类了所有9名在治疗结束时有应答的患者和8名持续病毒学应答的患者中的7名（总体为94%）。抗HCV治疗失败与干扰素刺激基因表达升高有关。基因表达模式可以提供一种预测抗HCV治疗反应的工具。
Therapy for hepatitis C virus (HCV) infection in human immunodeficiency virus (HIV)-infected patients results in modest cure rates. Gene expression patterns in peripheral blood mononuclear cells from 29 patients coinfected with HIV and HCV were used to predict virological response to therapy for HCV infection. Prediction analysis using pretherapy samples identified 79 genes that correctly classified all 10 patients who did not respond to therapy, 8 of 10 patients with a response at the end of treatment, and 7 of 9 patients with sustained virological response (86% overall). Analysis of 17 posttreatment samples identified 105 genes that correctly classified all 9 patients with response at the end of treatment and 7 of 8 patients with sustained virological response (94% overall). Failure of anti-HCV therapy was associated with elevated expression of interferon-stimulated genes. Gene expression patterns may provide a tool to predict anti-HCV therapeutic response.