Evidence map›Paper›PMID 26240829›Full record

ArticleBioMed research international2015

Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer.

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

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Theranostic application ofTheranostics · 2020
    Article
  3. International journal of molecular sciences · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Predicting pathway cross-talks in ankylosing spondylitis through investigating the interactions among pathways.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    Article
  15. Article
  16. Personalized Analysis by Validation of Monte Carlo for Application of Pathways in Cardioembolic Stroke.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  17. Article
  18. Article
  19. Monte Carlo cross-validation analysis screens pathway cross-talk associated with Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2016
    Article
  20. Review
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 at 2 institutions in 2 countries.

Antonio ColapricoInteruniversity Institute of Bioinformatics in Brussels (IB) , 1050 Brussels, Belgium ; Machine Learning Group, ULB, 1050 Brussels, Belgium.
Claudia CavaIBFM-CNR, Segrate, 20090 Milan, Italy.
Gloria BertoliIBFM-CNR, Segrate, 20090 Milan, Italy.
Gianluca BontempiInteruniversity Institute of Bioinformatics in Brussels (IB) , 1050 Brussels, Belgium ; Machine Learning Group, ULB, 1050 Brussels, Belgium.
Isabella CastiglioniIBFM-CNR, Segrate, 20090 Milan, Italy.
Institute of Molecular Bioimaging and Physiology · ITInstitute of Bioinformatics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work an integrated approach was used to identify functional miRNAs regulating gene pathway cross-talk in breast cancer (BC). We first integrated gene expression profiles and biological pathway information to explore the underlying associations between genes differently expressed among normal and BC samples and pathways enriched from these genes. For each pair of pathways, a score was derived from the distribution of gene expression levels by quantifying their pathway cross-talk. Random forest classification allowed the identification of pairs of pathways with high cross-talk. We assessed miRNAs regulating the identified gene pathways by a mutual information analysis. A Fisher test was applied to demonstrate their significance in the regulated pathways. Our results suggest interesting networks of pathways that could be key regulatory of target genes in BC, including stem cell pluripotency, coagulation, and hypoxia pathways and miRNAs that control these networks could be potential biomarkers for diagnostic, prognostic, and therapeutic development in BC. This work shows that standard methods of predicting normal and tumor classes such as differentially expressed miRNAs or transcription factors could lose intrinsic features; instead our approach revealed the responsible molecules of the disease.

Indexed as

Models, GeneticReceptor Cross-TalkBiomarkers, TumorBreast NeoplasmsComputer SimulationGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmGenetic MarkersHumansMicroRNAsModels, StatisticalMonte Carlo MethodNeoplasm InvasivenessSignal TransductionSystems IntegrationBiomarkers, TumorGenetic MarkersMicroRNAs

Identifiers

PMID26240829
PMCPMC4512830
OpenAlexW1894182713

What OpenQuestion holds

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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.