Evidence map›Paper›PMID 25465851›Full record

ArticleBMC medicine2014

miRNAs can be generally associated with human pathologies as exemplified for miR-144.

Andreas Keller, Petra Leidinger, Britta Vogel, Christina Backes, Abdou ElSharawy, Valentina Galata, Sabine C Mueller, Sabine Marquart, Michael G Schrauder, Reiner Strick and 9 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  16. Autophagy Induced by BCL2-Related ceRNA Network Participates in the Occurrence of COPD.International journal of chronic obstructive pulmonary disease · 2022
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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

19 authors at 8 institutions in 1 country.

Andreas KellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany. ack@bioinf.uni-sb.de.
Petra LeidingerInstitute of Human Genetics, Saarland University, Homburg, Germany. p.leidinger@mx.uni-saarland.de.
Britta VogelDepartment of Internal Medicine III, University of Heidelberg, Heidelberg, Germany. britta.vogel@med.uni-heidelberg.de.
Christina BackesChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany. c.backes@mx.uni-saarland.de.
Abdou ElSharawyInstitute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Kiel, Germany. a.sharawy@ikmb.uni-kiel.de.
Valentina GalataChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany. valentina.galata@gmail.com.
Sabine C MuellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany. sabine.mueller@uniklinikum-saarland.de.
Sabine MarquartDepartment of Internal Medicine III, University of Heidelberg, Heidelberg, Germany. sabine.marquart@med.uni-heidelberg.de.
Michael G SchrauderDepartment of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. michael.schrauder@uk-erlangen.de.
Reiner StrickDepartment of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. reiner.strick@uk-erlangen.de.
Andrea BauerGerman Cancer Research Center, Heidelberg, Germany. andrea.bauer@dkfz.de.
Jörg WischhusenUniversity Hospital Würzburg, Würzburg, Germany. wischhusen_J@ukw.de.
Markus BeierComprehensive Biomarker Center, Heidelberg, Germany. markus.beier@cbioc.com.
Jochen KohlhaasComprehensive Biomarker Center, Heidelberg, Germany. jochen.kohlhaas@cbioc.com.
Hugo A KatusDepartment of Internal Medicine III, University of Heidelberg, Heidelberg, Germany. hugo.katus@med.uni-heidelberg.de.
Jörg HoheiselGerman Cancer Research Center, Heidelberg, Germany. j.hoheisel@dkfz.de.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Kiel, Germany. a.franke@ikmb.uni-kiel.de.
Benjamin MederDepartment of Internal Medicine III, University of Heidelberg, Heidelberg, Germany. benjamin.meder@med.uni-heidelberg.de.
Eckart MeeseInstitute of Human Genetics, Saarland University, Homburg, Germany. hgemee@uniklinik-saarland.de.
Saarland University · DEHeidelberg University · DEChristian-Albrechts-Universität zu Kiel · DEGerman Centre for Cardiovascular Research · DEHummingbird Diagnostics (Germany) · DEUniversitätsklinikum Erlangen · DEGerman Cancer Research Center · DEUniversitätsklinikum Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiRNA profiles are promising biomarker candidates for a manifold of human pathologies, opening new avenues for diagnosis and prognosis. Beyond studies that describe miRNAs frequently as markers for specific traits, we asked whether a general pattern for miRNAs across many diseases exists.

methodsWe evaluated genome-wide circulating profiles of 1,049 patients suffering from 19 different cancer and non-cancer diseases as well as unaffected controls. The results were validated on 319 individuals using qRT-PCR.

resultsWe discovered 34 miRNAs with strong disease association. Among those, we found substantially decreased levels of hsa-miR-144* and hsa-miR-20b with AUC of 0.751 (95% CI: 0.703-0.799), respectively. We also discovered a set of miRNAs, including hsa-miR-155*, as rather stable markers, offering reasonable control miRNAs for future studies. The strong downregulation of hsa-miR-144* and the less variable pattern of hsa-miR-155* has been validated in a cohort of 319 samples in three different centers. Here, breast cancer as an additional disease phenotype not included in the screening phase has been included as the 20th trait.

conclusionsOur study on 1,368 patients including 1,049 genome-wide miRNA profiles and 319 qRT-PCR validations further underscores the high potential of specific blood-borne miRNA patterns as molecular biomarkers. Importantly, we highlight 34 miRNAs that are generally dysregulated in human pathologies. Although these markers are not specific to certain diseases they may add to the diagnosis in combination with other markers, building a specific signature. Besides these dysregulated miRNAs, we propose a set of constant miRNAs that may be used as control markers.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedNeoplasmsPhenotypePrognosisBiomarkers, TumorMicroRNAsMIRN144 microRNA, human

Identifiers

PMID25465851
PMCPMC4268797
OpenAlexW1994732338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.