Evidence map›Paper›PMID 25910082›Full record

ArticleMolecular cancer2015

Next-generation sequencing reveals novel differentially regulated mRNAs, lncRNAs, miRNAs, sdRNAs and a piRNA in pancreatic cancer.

Sören Müller, Susanne Raulefs, Philipp Bruns, Fabian Afonso-Grunz, Anne Plötner, Rolf Thermann, Carsten Jäger, Anna Melissa Schlitter, Bo Kong, Ivonne Regel and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 167 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 6 pooled it
9.6field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 254 citations in OpenAlex.

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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 7 institutions in 1 country.

Sören MüllerMolecular BioSciences, Goethe University, Frankfurt am Main, Germany. s.mueller@bio.uni-frankfurt.de.
Susanne RaulefsDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. susanne.raulefs@tum.de.
Philipp BrunsDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. philipp.bruns@helmholtz-muenchen.de.
Fabian Afonso-GrunzMolecular BioSciences, Goethe University, Frankfurt am Main, Germany. fgrunz@stud.uni-frankfurt.de.
Anne PlötnerGenXPro GmbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. ploetner@genxpro.de.
Rolf ThermannGFE Blut mbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. rolf.thermann@gfeblut.de.
Carsten JägerDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. Carsten.Jaeger@lrz.tu-muenchen.de.
Anna Melissa SchlitterDepartment of Pathology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. melissa.schlitter@lrz.tu-muenchen.de.
Bo KongDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. kongbo81@hotmail.com.
Ivonne RegelDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. ivonne.regel@lrz.tum.de.
W Kurt RothGFE Blut mbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. kurt.roth@gfeblut.de.
Björn RotterGenXPro GmbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. rotter@genxpro.de.
Klaus HoffmeierGenXPro GmbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. hoffmeier@genxpro.de.
Günter KahlMolecular BioSciences, Goethe University, Frankfurt am Main, Germany. kahl@em.uni-frankfurt.de.
Ina KochMolecular Bioinformatics Group, Institute of Computer Science, Cluster of Excellence Frankfurt 'Macromolecular Complexes' Faculty of Computer Science and Mathematics, Frankfurt am Main, Germany. ina.koch@bioinformatik.uni-frankfurt.de.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum Munich, Neuherberg, Germany. fabian.theis@helmholtz-muenchen.de.
Jörg KleeffDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany. kleeff@tum.de.
Peter WinterGenXPro GmbH, Frankfurt Biotechnology Innovation Center, Frankfurt am Main, Germany. pwinter@genxpro.de.
Christoph W MichalskiDepartment of Surgery, University of Heidelberg, Heidelberg, Germany. cwmichalski@gmail.com.
GenXPro (Germany) · DEKlinikum rechts der Isar · DEGoethe University Frankfurt · DETechnical University of Munich · DEMBN Research Center · DEHeidelberg University · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies identified microRNAs (miRNAs) and messenger RNAs with significantly different expression between normal pancreas and pancreatic cancer (PDAC) tissues. Due to technological limitations of microarrays and real-time PCR systems these studies focused on a fixed set of targets. Expression of other RNA classes such as long intergenic non-coding RNAs or sno-derived RNAs has rarely been examined in pancreatic cancer. Here, we analysed the coding and non-coding transcriptome of six PDAC and five control tissues using next-generation sequencing.

resultsBesides the confirmation of several deregulated mRNAs and miRNAs, miRNAs without previous implication in PDAC were detected: miR-802, miR-2114 or miR-561. SnoRNA-derived RNAs (e.g. sno-HBII-296B) and piR-017061, a piwi-interacting RNA, were found to be differentially expressed between PDAC and control tissues. In silico target analysis of miR-802 revealed potential binding sites in the 3' UTR of TCF4, encoding a transcription factor that controls Wnt signalling genes. Overexpression of miR-802 in MiaPaCa pancreatic cancer cells reduced TCF4 protein levels. Using Massive Analysis of cDNA Ends (MACE) we identified differential expression of 43 lincRNAs, long intergenic non-coding RNAs, e.g. LINC00261 and LINC00152 as well as several natural antisense transcripts like HNF1A-AS1 and AFAP1-AS1. Differential expression was confirmed by qPCR on the mRNA/miRNA/lincRNA level and by immunohistochemistry on the protein level.

conclusionsHere, we report a novel lncRNA, sncRNA and mRNA signature of PDAC. In silico prediction of ncRNA targets allowed for assigning potential functions to differentially regulated RNAs.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAcinar CellsBase SequenceCase-Control StudiesComputer SimulationDown-RegulationGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryMicroRNAsMolecular Sequence DataNeoplasm ProteinsOligonucleotide Array Sequence AnalysisOpen Reading FramesMicroRNAsNeoplasm ProteinsRNA, Long NoncodingRNA, MessengerRNA, Small Interfering

Identifiers

PMID25910082
PMCPMC4417536
OpenAlexW4256412268

What OpenQuestion holds

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LicenceCC BY
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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.