Evidence map›Paper›PMID 25889518›Full record

ArticleBMC research notes2015

miREC: a database of miRNAs involved in the development of endometrial cancer.

Benjamin Ulfenborg, Sanja Jurcevic, Angelica Lindlöf, Karin Klinga-Levan, Björn Olsson

Abstract read
In one paragraph

Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. IRNdb: the database of immunologically relevant non-coding RNAs.Database : the journal of biological databases and curation · 2016
    Article
  3. Article
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

5 authors.

Benjamin UlfenborgSystems Biology Research Centre - Bioinformatics, University of Skövde, Box 408, 541 28, Skövde, Sweden. benjamin.ulfenborg@his.se.
Sanja JurcevicSystems Biology Research Centre - Tumor Biology, University of Skövde, Box 408, 54128, Skövde, Sweden. sanja.jurcevic@his.se.
Angelica LindlöfSystems Biology Research Centre - Bioinformatics, University of Skövde, Box 408, 541 28, Skövde, Sweden. angelica.lindlof@his.se.
Karin Klinga-LevanSystems Biology Research Centre - Tumor Biology, University of Skövde, Box 408, 54128, Skövde, Sweden. karin.klinga.levan@his.se.
Björn OlssonSystems Biology Research Centre - Bioinformatics, University of Skövde, Box 408, 541 28, Skövde, Sweden. bjorn.olsson@his.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is the most frequently diagnosed gynecological malignancy and the fourth most common cancer diagnosis overall among women. As with many other forms of cancer, it has been shown that certain miRNAs are differentially expressed in EC and these miRNAs are believed to play important roles as regulators of processes involved in the development of the disease. With the rapidly growing number of studies of miRNA expression in EC, there is a need to organize the data, combine the findings from experimental studies of EC with information from various miRNA databases, and make the integrated information easily accessible for the EC research community.

findingsThe miREC database is an organized collection of data and information about miRNAs shown to be differentially expressed in EC. The database can be used to map connections between miRNAs and their target genes in order to identify specific miRNAs that are potentially important for the development of EC. The aim of the miREC database is to integrate all available information about miRNAs and target genes involved in the development of endometrial cancer, and to provide a comprehensive, up-to-date, and easily accessible source of knowledge regarding the role of miRNAs in the development of EC. Database URL: http://www.mirecdb.org .

conclusionsSeveral databases have been published that store information about all miRNA targets that have been predicted or experimentally verified to date. It would be a time-consuming task to navigate between these different data sources and literature to gather information about a specific disease, such as endometrial cancer. The miREC database is a specialized data repository that, in addition to miRNA target information, keeps track of the differential expression of genes and miRNAs potentially involved in endometrial cancer development. By providing flexible search functions it becomes easy to search for EC-associated genes and miRNAs from different starting points, such as differential expression and genomic loci (based on genomic aberrations).

Indexed as

Databases, GeneticEndometrial NeoplasmsFemaleHumansMicroRNAsMicroRNAs

Identifiers

PMID25889518
PMCPMC4383082

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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.