Evidence map›Paper›PMID 21603632›Full record

Trial reportPloS one2011

Dysregulation of IFN system can lead to poor response to pegylated interferon and ribavirin therapy in chronic hepatitis C.

Koji Onomoto, Shiho Morimoto, Takahisa Kawaguchi, Hidenori Toyoda, Masami Tanaka, Masahiko Kuroda, Kazuko Uno, Takashi Kumada, Fumihiko Matsuda, Kunitada Shimotohno and 2 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic variants at the IFNL3 locus and their association with hepatitis C virus infections reveal novel insights into host-virus interactions.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2014
    Review
  7. Article
  8. Article
  9. Genetics of IL28B and HCV--response to infection and treatment.Nature reviews. Gastroenterology & hepatology · 2012
    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

12 authors at 5 institutions in 1 country.

Koji OnomotoInstitute for Viral Research and Graduate School of Bioscience, Kyoto University, Kyoto, Japan.
Shiho Morimoto
Takahisa Kawaguchi
Hidenori Toyoda
Masami Tanaka
Masahiko Kuroda
Kazuko Uno
Takashi Kumada
Fumihiko Matsuda
Kunitada Shimotohno
Takashi Fujita
Yoshiki Murakami
Kyoto University · JPOgaki Municipal Hospital · JPTokyo Medical University · JPChiba Institute of Technology · JPLouis Pasteur Center for Medical Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite being expensive, the standard combination of pegylated interferon (Peg-IFN)-α and ribavirin used to treat chronic hepatitis C (CH) results in a moderate clearance rate and a plethora of side effects. This makes it necessary to predict patient outcome so as to improve the accuracy of treatment. Although the antiviral mechanism of genetically altered IL28B is unknown, IL28B polymorphism is considered a good predictor of IFN combination treatment outcome. METHODOLOGY: Using microarray, we quantified the expression profile of 237 IFN related genes in 87 CH liver biopsy specimens to clarify the relationship between IFN pathway and viral elimination, and to predict patients' clinical outcome. In 72 out of 87 patients we also analyzed IL28B polymorphism (rs8099917). PRINCIPAL

findingsFive IFN related-genes (IFI27, IFI 44, ISG15, MX1, and OAS1) had expression levels significantly higher in nonresponders (NR) than in normal liver (NL) and sustained virological responders (SVR); this high expression was also frequently seen in cases with the minor (TG or GG) IL28B genotype. The expression pattern of 31 IFN related-genes also differed significantly between NR and NL. We predicted drug response in NR with 86.1% accuracy by diagonal linear discriminant analysis (DLDA).

conclusionIFN system dysregulation before treatment was associated with poor IFN therapy response. Determining IFN related-gene expression pattern based on patients' response to combination therapy, allowed us to predict drug response with high accuracy. This method can be applied to establishing novel antiviral therapies and strategies for patients using a more individual approach.

Indexed as

Predictive Value of TestsAgedAntiviral AgentsDrug Therapy, CombinationFemaleGene Expression ProfilingGene Expression RegulationHepatitis C, ChronicHumansInterferon-alphaInterferon alpha-2Interferon LambdaInterferonsInterleukinsMaleMiddle AgedAntiviral AgentsInterferon-alphaInterferon alpha-2Interferon Lambdainterferon-lambda, humanInterferonsInterleukinspeginterferon alfa-2aPolyethylene GlycolsRecombinant ProteinsRibavirin

Identifiers

PMID21603632
PMCPMC3094385
OpenAlexW1995875837

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.