Evidence map›Paper›PMID 25393304›Full record

ArticlePloS one2014

Predictive value of interferon-lambda gene polymorphisms for treatment response in chronic hepatitis C.

Simone Susser, Eva Herrmann, Christian Lange, Nabila Hamdi, Tobias Müller, Thomas Berg, Dany Perner, Stefan Zeuzem, Christoph Sarrazin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Microbial pathogenesis and type III interferons.Cytokine & growth factor reviews · 2016
    Review
  5. Article
  6. SpringerPlus · 2016
    Article
  7. Review
  8. Immunopathogenesis of Hepatitis C Virus Infection.Gastroenterology clinics of North America · 2015
    Review
  9. Review
  10. Article
  11. Article
  12. Article
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

9 authors at 4 institutions in 2 countries.

Simone SusserMedical Department 1, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
Eva HerrmannInstitute of Biostatistics and Mathematical Modeling, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
Christian LangeMedical Department 1, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
Nabila HamdiDepartment of Pharmacology and Toxicology, German University in Cairo, Cairo, Egypt.
Tobias MüllerClinic for Gastroenterology, Section Hepatology, University Hospital Leipzig, Leipzig, Germany.
Thomas BergClinic for Gastroenterology, Section Hepatology, University Hospital Leipzig, Leipzig, Germany.
Dany PernerMedical Department 1, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
Stefan ZeuzemMedical Department 1, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
Christoph SarrazinMedical Department 1, Goethe-University Hospital Frankfurt/Main, Frankfurt, Germany.
University Hospital Frankfurt · DEUniversity Hospital Leipzig · DEGerman University in Cairo · EGGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIL28B gene polymorphism is the best baseline predictor of response to interferon alfa-based antiviral therapies in chronic hepatitis C. Recently, a new IFN-L4 polymorphism was identified as first potential functional variant for induction of IL28B expression. Individualization of interferon alfa-based therapies based on a combination of IL28B/IFN-L4 polymorphisms may help to optimize virologic outcome and economic resources.

methodsOptimization of treatment outcome prediction was assessed by combination of different IL28B and IFN-L4 polymorphisms in patients with chronic HCV genotype 1 (n = 385), 2/3 (n = 267), and 4 (n = 220) infection treated with pegylated interferon alfa (PEG-IFN) and ribavirin with (n = 79) or without telaprevir. Healthy people from Germany (n = 283) and Egypt (n = 96) served as controls.

resultsFrequencies of beneficial IL28B rs12979860 C/C genotypes were lower in HCV genotype 1/4 infected patients in comparison to controls (20-35% vs. 46-47%) this was also true for ss469415590 TT/TT (20-35% vs. 45-47%). Single interferon-lambda SNPs (rs12979860, rs8099917, ss469415590) correlated with sustained virologic response (SVR) in genotype 1, 3, and 4 infected patients while no association was observed for genotype 2. Interestingly, in genotype 3 infected patients, best SVR prediction was based on IFN-L4 genotype. Prediction of SVR with high accuracy (71-96%) was possible in genotype 1, 2, 3 and 4 infected patients who received PEG-IFN/ribavirin combination therapy by selection of beneficial IL28B rs12979860 C/C and/or ss469415590 TT/TT genotypes (p<0.001). For triple therapy with first generation protease inhibitors (PIs) (boceprevir, telaprevir) prediction of high SVR (90%) rates was based on the presence of at least one beneficial genotype of the 3 IFN-lambda SNPs.

conclusionIFN-L4 seems to be the best single predictor of SVR in genotype 3 infected patients. For optimized prediction of SVR by treatment with dual combination or first generation PI triple therapies, grouping of interferon-lambda haplotypes may be helpful with positive predictive values of 71-96%.

Indexed as

Polymorphism, Single NucleotideAntiviral AgentsDrug MonitoringGene Expression RegulationGenotypeHepacivirusHepatitis C, ChronicHost-Pathogen InteractionsHumansInterferon-alphaInterferon LambdaInterferonsInterleukinsOligopeptidesPolyethylene GlycolsPrognosisAntiviral AgentsIFNL4 protein, humanInterferon-alphaInterferon Lambdainterferon-lambda, humanInterferonsInterleukinsN-(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-carboxamideOligopeptidespeginterferon alfa-2aPolyethylene GlycolsProlineRecombinant ProteinsRibavirintelaprevir

Identifiers

PMID25393304
PMCPMC4231027
OpenAlexW2147248710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.