Literature DB >> 22173157

Prediction of response to pegylated interferon plus ribavirin in HIV/hepatitis C virus (HCV)-coinfected patients using HCV genotype, IL28B variations, and HCV-RNA load.

Karin Neukam1, Angela Camacho, Antonio Caruz, Norma Rallón, Almudena Torres-Cornejo, Jürgen K Rockstroh, Juan Macías, Antonio Rivero, José M Benito, Luis F López-Cortés, Jacob Nattermann, Jesús Gómez-Mateos, Vicente Soriano, Juan A Pineda.   

Abstract

BACKGROUND & AIMS: This study aimed at developing a predictive algorithm based on interleukin 28B (IL28B) genotype, hepatitis C virus (HCV) genotype, and plasma HCV-RNA load, which could accurately allow us to define the probability of response to pegylated interferon (Peg-IFN) plus ribavirin (RBV) therapy in HIV/HCV-coinfected patients.
METHODS: Five hundred and twenty-one treatment-naive HIV-infected patients, who initiated HCV therapy with Peg-IFN/RBV, were analysed in an on-treatment basis. Patients were categorized as unlikely responders, uncertain responders, and anticipated responders (<20%, 20-60%, and >60% probability to achieve SVR, respectively).
RESULTS: HCV genotype, baseline HCV-RNA load, and IL28B genotype were confirmed as independent predictors of SVR in a logistic regression analysis. A stepwise algorithm based on these three variables was created based on 321 patients and evaluated in the remaining 200 patients. Unlikely responders included patients with genotype 1 or 4, HCV-RNA load ≥600,000IU/ml, and rs12979860 non-CC (rate of SVR: 17.3%). Anticipated responders were those with HCV genotype 2-3, patients harboring HCV genotype 4 and IL28B CC, as well as those who simultaneously bore HCV genotype 1, HCV-RNA load <600,000IU/ml, and IL28B CC (rate of SVR 74.1%, 77.8%, and 64.4%, respectively). The area under the receiver operating characteristic curve of the model was 0.77 (0.733-0.814).
CONCLUSIONS: The combined use of IL28B genotype, HCV genotype, and HCV-RNA load enables to easily identify patients with a high and very low likelihood of SVR. HCV therapy could be deferred in the latter patients, until more effective options are available, at least if they do not show advanced liver fibrosis. Copyright Â
© 2011 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22173157     DOI: 10.1016/j.jhep.2011.11.008

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  10 in total

1.  Outcome prediction of diffuse large B-cell lymphomas associated with hepatitis C virus infection: a study on behalf of the Fondazione Italiana Linfomi.

Authors:  Michele Merli; Carlo Visco; Michele Spina; Stefano Luminari; Virginia Valeria Ferretti; Manuel Gotti; Sara Rattotti; Valeria Fiaccadori; Chiara Rusconi; Clara Targhetta; Caterina Stelitano; Alessandro Levis; Achille Ambrosetti; Davide Rossi; Luigi Rigacci; Alfonso Maria D'Arco; Pellegrino Musto; Annalisa Chiappella; Luca Baldini; Maurizio Bonfichi; Luca Arcaini
Journal:  Haematologica       Date:  2013-11-22       Impact factor: 9.941

2.  Impact of HIV infection on sustained virological response to treatment against hepatitis C virus with pegylated interferon plus ribavirin.

Authors:  P Monje-Agudo; A Castro-Iglesias; A Rivero-Juárez; F Martínez-Marcos; E Ortega-González; L M Real; B Pernas; N Merchante; P Cid; J Macías; M D Merino; A Rivero; A Mena; K Neukam; J A Pineda
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-07-09       Impact factor: 3.267

3.  Short communication: serum-based assay accurately detects single nucleotide polymorphisms of IL28B and SOCS3 in HIV/hepatitis C virus-coinfected subjects.

Authors:  Ashton Shaffer; Jon J Hubbard; Kerry Townsend; Shyam Kottilil; Michael A Polis; Henry Masur; Anita Kohli
Journal:  AIDS Res Hum Retroviruses       Date:  2014-07-14       Impact factor: 2.205

Review 4.  IL28B polymorphisms as a pretreatment predictor of response to HCV treatment.

Authors:  Christoph T Berger; Arthur Y Kim
Journal:  Infect Dis Clin North Am       Date:  2012-12       Impact factor: 5.982

5.  Comparison of HCV viral load and its genotype distributions in HCV mono- and HIV/HCV co-infected illicit drug users.

Authors:  Marzieh Jamalidoust; Mandana Namayandeh; Mohsen Moghadami; Mazyar Ziyaeyan
Journal:  Virol J       Date:  2017-07-11       Impact factor: 4.099

Review 6.  Treatment outcomes of treatment-naïve Hepatitis C patients co-infected with HIV: a systematic review and meta-analysis of observational cohorts.

Authors:  Anna Davies; Kasha P Singh; Zara Shubber; Philipp Ducros; Edward J Mills; Graham Cooke; Nathan Ford
Journal:  PLoS One       Date:  2013-02-05       Impact factor: 3.240

7.  The Impact of PNPLA3 rs738409 SNP on Liver Fibrosis Progression, Portal Hypertension and Hepatic Steatosis in HIV/HCV Coinfection.

Authors:  Bernhard Scheiner; Mattias Mandorfer; Philipp Schwabl; Berit Anna Payer; Theresa Bucsics; Simona Bota; Maximilian C Aichelburg; Katharina Grabmeier-Pfistershammer; Albert Stättermayer; Peter Ferenci; Michael Trauner; Markus Peck-Radosavljevic; Thomas Reiberger
Journal:  PLoS One       Date:  2015-11-23       Impact factor: 3.240

8.  Liver fibrosis, host genetic and hepatitis C virus related parameters as predictive factors of response to therapy against hepatitis C virus in HIV/HCV coinfected patients.

Authors:  Sara Corchado; Luis F López-Cortés; Antonio Rivero-Juárez; Almudena Torres-Cornejo; Antonio Rivero; Mercedes Márquez-Coello; José-Antonio Girón-González
Journal:  PLoS One       Date:  2014-07-11       Impact factor: 3.240

9.  Low Efficacy of Pegylated Interferon plus Ribavirin plus Nitazoxanide for HCV Genotype 4 and HIV Coinfection.

Authors:  Juan Macías; Luis F López-Cortés; Francisco Téllez; Eva Recio; Guillermo Ojeda-Burgos; Maria José Ríos; Antonio Rivero-Juárez; Marcial Delgado; Juan A Pineda
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

10.  Interleukin-6 polymorphisms in HCC patients chronically infected with HCV.

Authors:  Faisal Adnan; Najeeb Ullah Khan; Aqib Iqbal; Ijaz Ali; Arnolfo Petruzziello; Rocco Sabatino; Annunziata Guzzo; Giovanna Loquercio; Gerardo Botti; Sanaullah Khan; Muhammad Naeem; Muhammad Ismail Khan
Journal:  Infect Agent Cancer       Date:  2020-04-01       Impact factor: 2.965

  10 in total

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