Evidence map›Paper›PMID 28185585›Full record

ArticleBMC bioinformatics2016

How interacting pathways are regulated by miRNAs in breast cancer subtypes.

Claudia Cava, Antonio Colaprico, Gloria Bertoli, Gianluca Bontempi, Giancarlo Mauri, Isabella Castiglioni

Abstract readEvaluation Study
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Theranostic application ofTheranostics · 2020
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  11. International journal of molecular sciences · 2019
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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

6 authors.

Claudia CavaInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy.
Antonio ColapricoInteruniversity Institute of Bioinformatics in Brussels (IB), Brussels, Belgium.
Gloria BertoliInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy.
Gianluca BontempiInteruniversity Institute of Bioinformatics in Brussels (IB), Brussels, Belgium.
Giancarlo MauriDepartment of Informatics, Systems and Communications, University of Milan-Bicocca, Milan, Italy.
Isabella CastiglioniInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy. isabella.castiglioni@ibfm.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn important challenge in cancer biology is to understand the complex aspects of the disease. It is increasingly evident that genes are not isolated from each other and the comprehension of how different genes are related to each other could explain biological mechanisms causing diseases. Biological pathways are important tools to reveal gene interaction and reduce the large number of genes to be studied by partitioning it into smaller paths. Furthermore, recent scientific evidence has proven that a combination of pathways, instead than a single element of the pathway or a single pathway, could be responsible for pathological changes in a cell.

resultsIn this paper we develop a new method that can reveal miRNAs able to regulate, in a coordinated way, networks of gene pathways. We applied the method to subtypes of breast cancer. The basic idea is the identification of pathways significantly enriched with differentially expressed genes among the different breast cancer subtypes and normal tissue. Looking at the pairs of pathways that were found to be functionally related, we created a network of dependent pathways and we focused on identifying miRNAs that could act as miRNA drivers in a coordinated regulation process.

conclusionsOur approach enables miRNAs identification that could have an important role in the development of breast cancer.

Indexed as

Gene Regulatory NetworksBreast NeoplasmsFemaleGene Expression ProfilingGenomicsHumansMicroRNAsMicroRNAsBreast cancermiRNAsNetwork of pathwaysPathway cross-talk

Identifiers

PMID28185585
PMCPMC5123339

What Socratic holds

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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 Socratic graph.