Evidence map›Paper›PMID 19026009›Full record

ArticleHepatology (Baltimore, Md.)2008

Naturally occurring dominant resistance mutations to hepatitis C virus protease and polymerase inhibitors in treatment-naïve patients.

Thomas Kuntzen, Joerg Timm, Andrew Berical, Niall Lennon, Aaron M Berlin, Sarah K Young, Bongshin Lee, David Heckerman, Jonathan Carlson, Laura L Reyor and 35 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Hepatology (Baltimore, Md.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 3 pooled it
19.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

141 citing papers in PubMed, 3 syntheses or guidelines pooled it, 345 citations in OpenAlex.

  1. KASL clinical practice guidelines: management of hepatitis C.Clinical and molecular hepatology · 2016
    Guideline
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  10. Review
  11. Exploring evolutionary trajectories of drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  13. Review
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  15. Review
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81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors at 17 institutions in 3 countries.

Thomas KuntzenPartners AIDS Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. t.kuntzen@gmx.de
Joerg Timm
Andrew Berical
Niall Lennon
Aaron M Berlin
Sarah K Young
Bongshin Lee
David Heckerman
Jonathan Carlson
Laura L Reyor
Marianna Kleyman
Cory M McMahon
Christopher Birch
Julian Schulze Zur Wiesch
Timothy Ledlie
Michael Koehrsen
Chinnappa Kodira
Andrew D Roberts
Georg M Lauer
Hugo R Rosen
Florian Bihl
Andreas Cerny
Ulrich Spengler
Zhimin Liu
Arthur Y Kim
Yanming Xing
Arne Schneidewind
Margaret A Madey
Jaquelyn F Fleckenstein
Vicki M Park
James E Galagan
Chad Nusbaum
Bruce D Walker
Gerond V Lake-Bakaar
Eric S Daar
Ira M Jacobson
Edward D Gomperts
Brian R Edlin
Sharyne M Donfield
Raymond T Chung
Andrew H Talal
Tony Marion
Bruce W Birren
Matthew R Henn
Todd M Allen
Harvard University · USUniversity of Tennessee Health Science Center · USBroad Institute · USCornell University · USMassachusetts General Hospital · USMassachusetts Institute of Technology · USMicrosoft (United States) · USEssen University Hospital · DEChildren's Hospital of Los Angeles · USClinica Luganese Moncucco · CHHarbor–UCLA Medical Center · USHoward Hughes Medical Institute · USKlinik und Poliklinik für Neurologie · DERho (United States) · USSwiss HIV Cohort Study · CHUniversity Hospital Bonn · DEUniversity of Colorado Hospital · US

Funding

The role of NK cells during acute HCV infection and antiviral therapyU19AI066345 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LAUER, GEORG MICHAEL · 2005 to 2014
$8.5M
Surrogate HCV to study virus/cell interactionsU19AI048216 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI FLECKENSTEIN, JAQUELYN F · 2000 to 2004
$3.9M
Racial Difference in Hepatitis C Virus-Host Interactions and ResponseU19AI066316 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI FLECKENSTEIN, JAQUELYN F · 2005 to 2009
$3.0M
Pathogenesis of HIV and HCV in Hemophilia: HGDSR01HD041224 · NICHD · CHILDREN'S HOSPITAL LOS ANGELES · PI GOMPERTS, EDWARD DAVID · 2001 to 2004
$2.8M
CD8 T Cell Selective Pressure and HCV Sequence EvolutionR01AI067926 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALLEN, TODD M · 2006 to 2009
$711k
NIAID NIH HHS AI048216NIAID NIH HHS AI066316NIAID NIH HHS HHSN266200400001CNIAID NIH HHS R01 AI067926NIAID NIH HHS R01-AI067926-01NIAID NIH HHS U19 AI048216NIAID NIH HHS U19 AI066316NIAID NIH HHS U19 AI066345NIAID NIH HHS U19-AI666345NICHD NIH HHS R01 HD041224NICHD NIH HHS R01 HD41224
6 · The paper itself

Abstract

unlabelledResistance mutations to hepatitis C virus (HCV) nonstructural protein 3 (NS3) protease inhibitors in <1% of the viral quasispecies may still allow >1000-fold viral load reductions upon treatment, consistent with their reported reduced replicative fitness in vitro. Recently, however, an R155K protease mutation was reported as the dominant quasispecies in a treatment-naïve individual, raising concerns about possible full drug resistance. To investigate the prevalence of dominant resistance mutations against specifically targeted antiviral therapy for HCV (STAT-C) in the population, we analyzed HCV genome sequences from 507 treatment-naïve patients infected with HCV genotype 1 from the United States, Germany, and Switzerland. Phylogenetic sequence analysis and viral load data were used to identify the possible spread of replication-competent, drug-resistant viral strains in the population and to infer the consequences of these mutations upon viral replication in vivo. Mutations described to confer resistance to the protease inhibitors Telaprevir, BILN2061, ITMN-191, SCH6 and Boceprevir; the NS5B polymerase inhibitor AG-021541; and to the NS4A antagonist ACH-806 were observed mostly as sporadic, unrelated cases, at frequencies between 0.3% and 2.8% in the population, including two patients with possible multidrug resistance. Collectively, however, 8.6% of the patients infected with genotype 1a and 1.4% of those infected with genotype 1b carried at least one dominant resistance mutation. Viral loads were high in the majority of these patients, suggesting that drug-resistant viral strains might achieve replication levels comparable to nonresistant viruses in vivo.

conclusionNaturally occurring dominant STAT-C resistance mutations are common in treatment-naïve patients infected with HCV genotype 1. Their influence on treatment outcome should further be characterized to evaluate possible benefits of drug resistance testing for individual tailoring of drug combinations when treatment options are limited due to previous nonresponse to peginterferon and ribavirin.

Indexed as

Antiviral AgentsCarbamatesCohort StudiesDEAD-box RNA HelicasesDrug Resistance, ViralFemaleGenetic TestingHepacivirusHepatitis CHumansMacrocyclic CompoundsMaleMutationNucleoside-TriphosphataseOligopeptidesPhenylthiourea1-(4-pentyloxy-3-trifluoromethylphenyl)-3-(pyridine-3-carbonyl)thioureaAntiviral AgentsBILN 2061CarbamatesDEAD-box RNA HelicasesMacrocyclic CompoundsN-(3-amino-1-(cyclobutylmethyl)-2,3-dioxopropyl)-3-(2-((((1,1-dimethylethyl)amino)carbonyl)amino)-3,3-dimethyl-1-oxobutyl)-6,6-dimethyl-3-azabicyclo(3.1.0)hexan-2-carboxamideNS3 protein, hepatitis C virusNS-5 protein, hepatitis C virusNucleoside-TriphosphataseOligopeptidesPhenylthioureaProlineProtease InhibitorsQuinolinesRNA-Dependent RNA PolymeraseSCH6Serine EndopeptidasestelaprevirThiazolesViral Nonstructural ProteinsViral Proteases

Identifiers

PMID19026009
PMCPMC2645896
OpenAlexW2019523835

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.