Hepatic gene expression and prediction of therapy response in chronic hepatitis C patients☆
Chronic hepatitis C (HCV) infection remains a major health problem worldwide. The current standard of care is a combination of pegylated interferon-alpha and ribavirin. Considering the length of antiviral therapy, as well as its side effects and costs, accurate prediction of treatment response prior to initiation of treatment is critical. In addition to viral, demographic and environmental factors, host genetic diversity is believed to contribute to the spectrum of clinical outcomes of chronic HCV. The development of high-throughput technologies provides opportunities to define patterns of gene expression that are associated with certain disease outcomes and/or response to therapy. This article reviews genomics-based predictors of pre-treatment response to antiviral therapy.
Abbreviations: HCV, hepatitis C virus, EVR, early viral response, ETR, end of treatment response, SVR, sustained virological response, NR, non-responder
Keywords: Chronic hepatitis C infection, Predictors of therapy response, Genomics
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☆ The authors declare that they do not have anything to disclose regarding funding from industries or conflict of interest with respect to this manuscript.
PII: S0168-8278(08)00125-6
doi:10.1016/j.jhep.2008.02.010
© 2008 European Association for the Study of the Liver. Published by Elsevier Inc. All rights reserved.
