Literature DB >> 22869341

Similar predictions of etravirine sensitivity regardless of genotypic testing method used: comparison of available scoring systems.

Johan Vingerhoets1, Steven Nijs, Lotke Tambuyzer, Annemie Hoogstoel, David Anderson, Gaston Picchio.   

Abstract

BACKGROUND: The aims of this study were to compare various genotypic scoring systems commonly used to predict virological outcome to etravirine, and examine their concordance with etravirine phenotypic susceptibility.
METHODS: Six etravirine genotypic scoring systems were assessed: Tibotec 2010 (based on 20 mutations; TBT 20), Monogram, Stanford HIVdb, ANRS, Rega (based on 37, 30, 27 and 49 mutations, respectively) and virco(®)TYPE HIV-1 (predicted fold change based on genotype). Samples from treatment-experienced patients who participated in the DUET trials and with both genotypic and phenotypic data (n=403) were assessed using each scoring system. Results were retrospectively correlated with virological response in DUET. κ coefficients were calculated to estimate the degree of correlation between the different scoring systems.
RESULTS: Correlation between the five scoring systems and the TBT 20 system was approximately 90%. Virological response by etravirine susceptibility was comparable regardless of which scoring system was utilized, with 70-74% of DUET patients determined as susceptible to etravirine by the different scoring systems achieving plasma viral load <50 HIV-1 RNA copies/ml. In samples classed as phenotypically susceptible to etravirine (fold change in 50% effective concentration ≤3), correlations with genotypic score were consistently high across scoring systems (≥70%).
CONCLUSIONS: In general, the etravirine genotypic scoring systems produced similar results, and genotype-phenotype concordance was high. As such, phenotypic interpretations, and in their absence all genotypic scoring systems investigated, may be used to reliably predict the activity of etravirine.

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Year:  2012        PMID: 22869341     DOI: 10.3851/IMP2275

Source DB:  PubMed          Journal:  Antivir Ther        ISSN: 1359-6535


  4 in total

1.  Discordance between Etravirine Phenotype and Genotype-Based Predicted Phenotype for Subtype C HIV-1 from First-Line Antiretroviral Therapy Failures in South Africa.

Authors:  Kevin D McCormick; Kerri J Penrose; Chanson J Brumme; P Richard Harrigan; Raquel V Viana; John W Mellors; Urvi M Parikh; Carole L Wallis
Journal:  Antimicrob Agents Chemother       Date:  2020-04-21       Impact factor: 5.191

2.  Drug susceptibility and resistance mutations after first-line failure in resource limited settings.

Authors:  Carole L Wallis; Evgenia Aga; Heather Ribaudo; Shanmugam Saravanan; Michael Norton; Wendy Stevens; Nagalingeswaran Kumarasamy; John Bartlett; David Katzenstein
Journal:  Clin Infect Dis       Date:  2014-05-01       Impact factor: 9.079

3.  Diverse Human Immunodeficiency Virus-1 Drug Resistance Profiles at Screening for ACTG A5288: A Study of People Experiencing Virologic Failure on Second-line Antiretroviral Therapy in Resource-limited Settings.

Authors:  Carole L Wallis; Michael D Hughes; Justin Ritz; Raquel Viana; Carlos Silva de Jesus; Shanmugam Saravanan; Marije van Schalkwyk; Rosie Mngqibisa; Robert Salata; Peter Mugyenyi; Evelyn Hogg; Laura Hovind; Linda Wieclaw; Robert Gross; Catherine Godfrey; Ann C Collier; Beatriz Grinsztejn; John W Mellors
Journal:  Clin Infect Dis       Date:  2020-10-23       Impact factor: 20.999

4.  High rate of HIV-1 drug resistance in treatment failure patients in Taiwan, 2009-2014.

Authors:  Hung-Chin Tsai; I-Tzu Chen; Kuan-Sheng Wu; Yu-Ting Tseng; Cheng-Len Sy; Jui-Kuang Chen; Susan Shin-Jung Lee; Yao-Shen Chen
Journal:  Infect Drug Resist       Date:  2017-10-16       Impact factor: 4.003

  4 in total

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