Evidence map›Paper›PMID 27558398›Full record

Observational studyArthritis research & therapy2016

Can baseline serum microRNAs predict response to TNF-alpha inhibitors in rheumatoid arthritis?

Bart V J Cuppen, Marzia Rossato, Ruth D E Fritsch-Stork, Arno N Concepcion, Yolande Schenk, Johannes W J Bijlsma, Timothy R D J Radstake, Floris P J G Lafeber, all SRU investigators

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  15. Liquid biopsies to guide therapeutic decisions in rheumatoid arthritis.Translational research : the journal of laboratory and clinical medicine · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Epigenetics in the pathogenesis of RA.Seminars in immunopathology · 2017
    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

9 authors at 2 institutions in 3 countries.

Bart V J CuppenRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. B.V.J.Cuppen@umcutrecht.nl.
Marzia RossatoRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Ruth D E Fritsch-StorkRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Arno N ConcepcionRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Yolande SchenkRheumatology, Diakonessen Hospital, Bosboomstraat 1, 3582 KE, Utrecht, The Netherlands.
Johannes W J BijlsmaRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Timothy R D J RadstakeRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Floris P J G LafeberRheumatology and Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
all SRU investigators
Heidelberg University · DESigmund Freud Privatuniversität Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn rheumatoid arthritis, prediction of response to TNF-alpha inhibitor (TNFi) treatment would be of clinical value. This study aims to discover miRNAs that predict response and aims to replicate results of two previous studies addressing this topic.

methodsFrom the observational BiOCURA cohort, 40 adalimumab- (ADA) and 40 etanercept- (ETN) treated patients were selected to enter the discovery cohort and baseline serum profiling on 758 miRNAs was performed. The added value of univariately selected miRNAs (p < 0.05) over clinical parameters in prediction of response was determined by means of the area under the receiver operating characteristic curve (AUC-ROC). Validation was performed by TaqMan single qPCR assays in 40 new patients.

resultsExpression of miR-99a and miR-143 predicted response to ADA, and miR-23a and miR-197 predicted response to ETN. The addition of miRNAs increased the AUC-ROC of a model containing only clinical parameters for ADA (0.75 to 0.97) and ETN (0.68 to 0.78). In validation, none of the selected miRNAs significantly predicted response. miR-23a was the only overlapping miRNA compared to the two previous studies, however inversely related with response in one of these studies. The reasons for the inability to replicate previously proposed miRNAs predicting response to TNFi and replicate those from the discovery cohort were investigated and discussed.

conclusionsTo date, no miRNA consistently predicting response to TNFi therapy in RA has been identified. Future studies on this topic should meet a minimum of standards in design that are addressed in this study, in order to increase the reproducibility.

Indexed as

AdalimumabAgedAntirheumatic AgentsArea Under CurveArthritis, RheumatoidBiomarkersCohort StudiesEtanerceptFemaleHumansMaleMicroRNAsMiddle AgedPrognosisReal-Time Polymerase Chain ReactionReproducibility of ResultsAdalimumabAntirheumatic AgentsBiomarkersEtanerceptMicroRNAsTumor Necrosis Factor-alphamiRNAPredictionPrognosisResponseRheumatoid arthritisTNF-alpha inhibitor

Identifiers

PMID27558398
PMCPMC4997731
OpenAlexW2518531761

What OpenQuestion holds

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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.