Evidence map›Paper›PMID 23874421›Full record

ArticlePloS one2013

High-throughput miRNA and mRNA sequencing of paired colorectal normal, tumor and metastasis tissues and bioinformatic modeling of miRNA-1 therapeutic applications.

Christina Röhr, Martin Kerick, Axel Fischer, Alexander Kühn, Karl Kashofer, Bernd Timmermann, Andriani Daskalaki, Thomas Meinel, Dmitriy Drichel, Stefan T Börno and 12 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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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

22 authors at 7 institutions in 2 countries.

Christina RöhrDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Martin Kerick
Axel Fischer
Alexander Kühn
Karl Kashofer
Bernd Timmermann
Andriani Daskalaki
Thomas Meinel
Dmitriy Drichel
Stefan T Börno
Anja Nowka
Sylvia Krobitsch
Alice C McHardy
Christina Kratsch
Tim Becker
Andrea Wunderlich
Christian Barmeyer
Christian Viertler
Kurt Zatloukal
Christoph Wierling
Hans Lehrach
Michal R Schweiger
Max Planck Institute for Molecular Genetics · DEMedical University of Graz · ATHeinrich Heine University Düsseldorf · DECharité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DEGerman Center for Neurodegenerative Diseases · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNAs are discussed as diagnostic and therapeutic molecules. However, effective miRNA drug treatments with miRNAs are, so far, hampered by the complexity of the miRNA networks. To identify potential miRNA drugs in colorectal cancer, we profiled miRNA and mRNA expression in matching normal, tumor and metastasis tissues of eight patients by Illumina sequencing. We validated six miRNAs in a large tissue screen containing 16 additional tumor entities and identified miRNA-1, miRNA-129, miRNA-497 and miRNA-215 as constantly de-regulated within the majority of cancers. Of these, we investigated miRNA-1 as representative in a systems-biology simulation of cellular cancer models implemented in PyBioS and assessed the effects of depletion as well as overexpression in terms of miRNA-1 as a potential treatment option. In this system, miRNA-1 treatment reverted the disease phenotype with different effectiveness among the patients. Scoring the gene expression changes obtained through mRNA-Seq from the same patients we show that the combination of deep sequencing and systems biological modeling can help to identify patient-specific responses to miRNA treatments. We present this data as guideline for future pre-clinical assessments of new and personalized therapeutic options.

Indexed as

AdultAgedAged, 80 and overCell LineColorectal NeoplasmsComputational BiologyDown-RegulationFemaleGene Regulatory NetworksGenes, Tumor SuppressorHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID23874421
PMCPMC3707605
OpenAlexW2015354890

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.