Evidence map›Paper›PMID 27417569›Full record

SynthesisAlimentary pharmacology & therapeutics2016

Systematic review: genetic biomarkers associated with anti-TNF treatment response in inflammatory bowel diseases.

S Bek, J V Nielsen, A B Bojesen, A Franke, S Bank, U Vogel, V Andersen

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Alimentary pharmacology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
–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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. The Genetics of Inflammatory Bowel Disease.Molecular diagnosis & therapy · 2024
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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

7 authors.

S BekMolecular and Diagnostic Research Unit, Hospital of Southern Jutland, Aabenraa, Denmark.
J V NielsenMolecular and Diagnostic Research Unit, Hospital of Southern Jutland, Aabenraa, Denmark.
A B BojesenResearch Unit for E-mental Health, Mental Health Services in the Region of Southern Odense, Odense, Denmark.
A FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
S BankMolecular and Diagnostic Research Unit, Hospital of Southern Jutland, Aabenraa, Denmark.
U VogelNational Research Centre for the Working Environment, Copenhagen, Denmark.
V AndersenMolecular and Diagnostic Research Unit, Hospital of Southern Jutland, Aabenraa, Denmark.ORCID 0000-0002-0127-2863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalised medicine, including biomarkers for treatment selection, may provide new algorithms for more effective treatment of patients. Genetic variation may impact drug response and genetic markers could help selecting the best treatment strategy for the individual patient.

aimTo identify polymorphisms and candidate genes from the literature that are associated with anti-tumour necrosis factor (TNF) treatment response in patients with inflammatory bowel diseases (IBD), Crohn's disease (CD) and ulcerative colitis.

methodsWe performed a PubMed literature search and retrieved studies reporting original data on association between polymorphisms and anti-TNF treatment response and conducted a meta-analysis.

resultsA functional polymorphism in FCGR3A was significantly associated with anti-TNF treatment response among CD patients using biological response criterion (decrease in C-reactive protein, levels). Meta-analyses showed that polymorphisms in TLR2 (rs3804099, OR (95% CI) = 2.17 (1.35-3.47)], rs11938228 [OR = 0.64 (0.43-0.96)], TLR4 (rs5030728) [OR = 3.18 (1.63-6.21)], TLR9 (rs352139) [OR = 0.43 (0.21-0.88)], TNFRSF1A (rs4149570) [OR = 2.06 (1.02-4.17)], IFNG (rs2430561) [OR = 1.66 (1.05-2.63)], IL6 (rs10499563) [OR = 1.65 (1.04-2.63)] and IL1B (rs4848306) [OR = 1.88 (1.05-3.35)] were significantly associated with response among IBD patients using clinical response criteria. A positive predictive value of 0.96 was achieved by combining five genetic markers in an explorative analysis.

conclusionsThere are no genetic markers currently available which are adequately predictive of anti-TNF response for use in the clinic. Genetic markers bear the advantage that they do not change over time. Therefore, hypothesis-free approaches, testing a large number of polymorphisms in large, well-characterised cohorts, are required in order to identify genetic profiles with larger effect sizes, which could be employed as biomarkers for treatment selection in clinical settings.

Indexed as

Genetic MarkersAdultAnti-Inflammatory AgentsColitis, UlcerativeCrohn DiseaseFemaleGenetic Association StudiesGenetic VariationHumansInflammatory Bowel DiseasesPolymorphism, GeneticTumor Necrosis Factor-alphaAnti-Inflammatory AgentsGenetic MarkersTumor Necrosis Factor-alpha

Identifiers

PMID27417569
PMCPMC5113857

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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.