Evidence map›Paper›PMID 27494410›Full record

ArticlePloS one2016

Resistance Analyses of HCV NS3/4A Protease and NS5B Polymerase from Clinical Studies of Deleobuvir and Faldaprevir.

Kristi L Berger, Christoph Sarrazin, David R Nelson, Joseph Scherer, Nanshi Sha, Martin Marquis, Alexandra Côté-Martin, Richard Vinisko, Jerry O Stern, Federico J Mensa and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

11 authors.

Kristi L BergerBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Christoph SarrazinJ.W. Goethe University Hospital, Frankfurt, Germany.
David R NelsonClinical and Translational Science Institute, University of Florida, Gainesville, FL, United States of America.
Joseph SchererBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Nanshi ShaBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Martin MarquisBoehringer Ingelheim Ltd/Ltée, R&D, Laval, QC, Canada.
Alexandra Côté-MartinBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Richard ViniskoBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Jerry O SternBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
Federico J MensaBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, United States of America.
George KukoljBoehringer Ingelheim Ltd/Ltée, R&D, Laval, QC, Canada.

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
6 · The paper itself

Abstract

BACKGROUND &

aimThe resistance profile of anti-hepatitis C virus (HCV) agents used in combination is important to guide optimal treatment regimens. We evaluated baseline and treatment-emergent NS3/4A and NS5B amino-acid variants among HCV genotype (GT)-1a and -1b-infected patients treated with faldaprevir (HCV protease inhibitor), deleobuvir (HCV polymerase non-nucleoside inhibitor), and ribavirin in multiple clinical studies.

methodsHCV NS3/4A and NS5B population sequencing (Sanger method) was performed on all baseline plasma samples (n = 1425 NS3; n = 1556 NS5B) and on post-baseline plasma samples from patients with virologic failure (n = 113 GT-1a; n = 221 GT-1b). Persistence and time to loss of resistance-associated variants (RAVs) was estimated using Kaplan-Meier analysis.

resultsFaldaprevir RAVs (NS3 R155 and D168) and deleobuvir RAVs (NS5B 495 and 496) were rare (<1%) at baseline. Virologic response to faldaprevir/deleobuvir/ribavirin was not compromised by common baseline NS3 polymorphisms (e.g. Q80K in 17.5% of GT-1a) or by NS5B A421V, present in 20% of GT-1a. In GT-1b, alanine at NS5B codon 499 (present in 15% of baseline sequences) was associated with reduced response. Treatment-emergent RAVs consolidated previous findings: NS3 R155 and D168 were key faldaprevir RAVs; NS5B A421 and P495 were key deleobuvir RAVs. Among on-treatment virologic breakthroughs, RAVs emerged in both NS3 and NS5B (>90%). Virologic relapse was associated with RAVs in both NS3 and NS5B (53% GT-1b; 52% GT-1b); some virologic relapses had NS3 RAVs only (47% GT-1a; 17% GT-1b). Median time to loss of GT-1b NS5B P495 RAVs post-treatment (5 months) was less than that of GT-1b NS3 D168 (8.5 months) and GT-1a R155 RAVs (11.5 months).

conclusionFaldaprevir and deleobuvir RAVs are more prevalent among virologic failures than at baseline. Treatment response was not compromised by common NS3 polymorphisms; however, alanine at NS5B amino acid 499 at baseline (wild-type in GT-1a, polymorphism in GT-1b) may reduce response to this deleobuvir-based regimen.

Indexed as

AcrylatesAmino Acid SubstitutionAminoisobutyric AcidsAntiviral AgentsBenzimidazolesCarrier ProteinsClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDEAD-box RNA HelicasesDrug Resistance, ViralHepacivirusHepatitis C, ChronicHumansIntracellular Signaling Peptides and ProteinsLeucineAcrylatesAminoisobutyric AcidsAntiviral AgentsBenzimidazolesCarrier ProteinsDEAD-box RNA HelicasesdeleobuvirfaldaprevirIntracellular Signaling Peptides and ProteinsLeucineNS3 protein, hepatitis C virusNS4A cofactor peptide, Hepatitis C virusNucleoside-TriphosphataseOligopeptidesProlineProtease InhibitorsQuinolinesSerine EndopeptidasesThiazolesViral Nonstructural ProteinsViral Proteases

Identifiers

PMID27494410
PMCPMC4975400

What OpenQuestion holds

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Registered trials

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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.