| Literature DB >> 25926499 |
Sylvie Larrat1, Sophie Vallet2, Sandra David-Tchouda3, Alban Caporossi4, Jennifer Margier3, Christophe Ramière5, Caroline Scholtes5, Stéphanie Haïm-Boukobza6, Anne-Marie Roque-Afonso6, Bernard Besse7, Elisabeth André-Garnier7, Sofiane Mohamed8, Philippe Halfon8, Adeline Pivert9, Hélène LeGuillou-Guillemette9, Florence Abravanel10, Matthieu Guivarch10, Vincent Mackiewicz11, Olivier Lada11, Thomas Mourez12, Jean-Christophe Plantier12, Yazid Baazia13, Sophie Alain14, Sebastien Hantz14, Vincent Thibault15, Catherine Gaudy-Graffin16, Dorine Bouvet16, Audrey Mirand17, Cécile Henquell17, Joel Gozlan18, Gisèle Lagathu19, Charlotte Pronier19, Aurélie Velay20, Evelyne Schvoerer20, Pascale Trimoulet21, Hervé Fleury21, Magali Bouvier-Alias22, Etienne Brochot23, Gilles Duverlie23, Sarah Maylin24, Stéphanie Gouriou3, Jean-Michel Pawlotsky22, Patrice Morand25.
Abstract
The pretherapeutic presence of protease inhibitor (PI) resistance-associated variants (RAVs) has not been shown to be predictive of triple-therapy outcomes in treatment-naive patients. However, they may influence the outcome in patients with less effective pegylated interferon (pegIFN)-ribavirin (RBV) backbones. Using hepatitis C virus (HCV) population sequence analysis, we retrospectively investigated the prevalence of baseline nonstructural 3 (NS3) RAVs in a multicenter cohort of poor IFN-RBV responders (i.e., prior null responders or patients with a viral load decrease of <1 log IU/ml during the pegIFN-RBV lead-in phase). The impact of the presence of these RAVs on the outcome of triple therapy was studied. Among 282 patients, the prevalances (95% confidence intervals) of baseline RAVs ranged from 5.7% (3.3% to 9.0%) to 22.0% (17.3% to 27.3%), depending to the algorithm used. Among mutations conferring a >3-fold shift in 50% inhibitory concentration (IC50) for telaprevir or boceprevir, T54S was the most frequently detected mutation (3.9%), followed by A156T, R155K (0.7%), V36M, and V55A (0.35%). Mutations were more frequently found in patients infected with genotype 1a (7.5 to 23.6%) than 1b (3.3 to 19.8%) (P = 0.03). No other sociodemographic or viroclinical characteristic was significantly associated with a higher prevalence of RAVs. No obvious effect of baseline RAVs on viral load was observed. In this cohort of poor responders to IFN-RBV, no link was found with a sustained virological response to triple therapy, regardless of the algorithm used for the detection of mutations. Based on a cross-study comparison, baseline RAVs are not more frequent in poor IFN-RBV responders than in treatment-naive patients and, even in these difficult-to-treat patients, this study demonstrates no impact on treatment outcome, arguing against resistance analysis prior to treatment.Entities:
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Year: 2015 PMID: 25926499 PMCID: PMC4473242 DOI: 10.1128/JCM.03633-14
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948