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
1Science Applications International Program (SAIC)–Frederick, Inc., National Cancer Institute–Frederick, National Institutes of Health, Frederick, and 2Laboratory of Immunoregulation, National Institute of Allergy and Infections Diseases, and 3Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland; 4University of Cincinnati, Cincinnati, Ohio
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.
Received 18 January 2005; accepted 9 November 2005; electronically published 13 March 2006.
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Potential conflicts of interest: none reported.
Financial support: National Institutes of Health (contract CO‐12400).
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