4.8 Article

Interferon-Induced Gene Expression Is a Stronger Predictor of Treatment Response Than IL28B Genotype in Patients With Hepatitis C

期刊

GASTROENTEROLOGY
卷 140, 期 3, 页码 1021-U471

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.gastro.2010.11.039

关键词

Hepatitis C Virus; Jak-STAT Signaling; Host-Virus Interaction; Innate Immunity

资金

  1. Swiss National Science Foundation (SNF) [320030-116106, 323500-123714, 32003B-127613/1]
  2. Oncosuisse (OCS) [02192-02-2008]
  3. Leenaards foundation

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BACKGROUND & AIMS: The host immune response during the chronic phase of hepatitis C virus infection varies among individuals; some patients have a no interferon (IFN) response in the liver, whereas others have full activation of IFN-stimulated genes (ISGs). Preactivation of this endogenous IFN system is associated with nonresponse to pegylated IFN-alpha (pegIFN-alpha) and ribavirin. Genome-wide association studies have associated allelic variants near the IL28B (IFN lambda 3) gene with treatment response. We investigated whether IL28B genotype determines the constitutive expression of ISGs in the liver and compared the abilities of ISG levels and IL28B genotype to predict treatment outcome. METHODS: We genotyped 109 patients with chronic hepatitis C for IL28B allelic variants and quantified the hepatic expression of ISGs and of IL28B. Decision tree ensembles, in the form of a random forest classifier, were used to calculate the relative predictive power of these different variables in a multivariate analysis. RESULTS: The minor IL28B allele was significantly associated with increased expression of ISG. However, stratification of the patients according to treatment response revealed increased ISG expression in nonresponders, irrespective of IL28B genotype. Multivariate analysis of ISG expression, IL28B genotype, and several other factors associated with response to therapy identified ISG expression as the best predictor of treatment response. CONCLUSIONS: IL28B genotype and hepatic expression of ISGs are independent predictors of response to treatment with pegIFN-alpha and ribavirin in patients with chronic hepatitis C. The most accurate prediction of response was obtained with a 4-gene classifier comprising IFI27, ISG15, RSAD2, and HTATIP2.

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