Resistance profile of etravirine: combined analysis of baseline genotypic and phenotypic data from the randomized, controlled Phase III clinical studies

被引:141
作者
Vingerhoets, Johan [2 ]
Tambuyzer, Lotke [2 ]
Azijn, Hilde [2 ]
Hoogstoel, Annemie [2 ]
Nijs, Steven [2 ]
Peeters, Monika [2 ]
de Bethune, Marie-Pierre [2 ]
De Smedt, Goedele [2 ]
Woodfall, Brian [2 ]
Picchio, Gaston [1 ]
机构
[1] Tibotec Inc, Yardley, PA USA
[2] Tibotec BVBA, B-2800 Mechelen, Belgium
关键词
etravirine; genotype; phenotype; resistance; TMC125; IMMUNODEFICIENCY-VIRUS TYPE-1; EXPERIENCED HIV-1-INFECTED PATIENTS; REVERSE-TRANSCRIPTASE INHIBITORS; PLACEBO-CONTROLLED TRIAL; VIROLOGICAL RESPONSE; DARUNAVIR-RITONAVIR; TMC125; ETRAVIRINE; HIV-1; INFECTION; NNRTI MUTATIONS; DOUBLE-BLIND;
D O I
10.1097/QAD.0b013e32833677ac
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective: To refine the genotypic and phenotypic correlates of response to the nonnucleoside reverse transcriptase inhibitor etravirine. Design: Initial analyses identified 13 etravirine resistance-associated mutations (RAMs) and clinical cutoffs (CCOs) for etravirine. A multivariate analysis was performed to refine the initial etravirine RAM list and improve the predictive value of genotypic resistance testing with regard to virologic response and relationship to phenotypic data. Methods: Week 24 data were pooled from the phase III studies with TMC125 to Demonstrate Undetectable viral load in patients Experienced with ARV Therapy (DUET). The effect of baseline resistance to etravirine on virologic response (< 50 HIV-1RNA-copies/ml) was studied in patients not using de-novo enfuvirtide and excluding discontinuations for reasons other than virologic failure (n = 406). Clinical cutoffs for etravirine were established by analysis of covariance models and sliding fold change in 50% effective concentration (EC50) windows (Antivirogram; VircoBVBA, Mechelen, Belgium). Etravirine RAMs were identified as those associated with decreased virologic response/increased etravirine fold change in EC50. Relative weight factors were assigned to the etravirine RAMs using random forest and linear modeling techniques. Results: Baseline etravirine fold change in EC50 predicted virologic response at week 24, with lower and preliminary upper clinical cutoffs of 3.0 and 13.0, respectively. A fold change in EC50 value above which etravirine provided little or no additional efficacy benefit could not be established. Seventeen etravirine RAMs were identified and attributed a relative weight factor accounting for the differential impact on etravirine fold change in EC50. Virologic response was a function of etravirine-weighted genotypic score. Conclusion: The weighted genotypic scoring algorithm optimizes resistance interpretations for etravirine and guides treatment decisions regarding its use in treatment-experienced patients. (C) 2010 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
引用
收藏
页码:503 / 514
页数:12
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