Evidence map›Paper›PMID 32188472›Full record

ReviewMolecular cancer2020

The network of non-coding RNAs and their molecular targets in breast cancer.

Francesca Crudele, Nicoletta Bianchi, Eva Reali, Marco Galasso, Chiara Agnoletto, Stefano Volinia

Abstract readReview
In one paragraph

Review in Molecular cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  4. Doxorubicin Effects Breast Cancer Proliferation via the NEAT1/miR-410-3p Axis.Asian Pacific journal of cancer prevention : APJCP · 2025
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  6. Review
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  14. An ultrasensitive hairpin sensor based on g-CAnalytical and bioanalytical chemistry · 2022
    Article
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  19. Review
  20. 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

6 authors.

Francesca CrudeleDepartment of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
Nicoletta BianchiDepartment of Biomedical Sciences and Specialist Surgery, University of Ferrara, 44121, Ferrara, Italy.
Eva RealiIRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Marco GalassoDepartment of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
Chiara AgnolettoArea of Neuroscience, International School for Advanced Studies (SISSA-ISAS), Trieste, Italy.
Stefano VoliniaDepartment of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy. vlnsfn@unife.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-coding RNAs are now recognized as fundamental components of the cellular processes. Non-coding RNAs are composed of different classes, including microRNAs (miRNAs) and long non-coding RNAs (lncRNAs). Their detailed roles in breast cancer are still under scrutiny. MAIN BODY: We systematically reviewed from recent literature the many functional and physical interactions of non-coding RNAs in breast cancer. We used a data driven approach to establish the network of direct, and indirect, interactions. Human curation was essential to de-convolute and critically assess the experimental approaches in the reviewed articles. To enrol the scientific papers in our article cohort, due to the short time span (shorter than 5 years) we considered the journal impact factor rather than the citation number. The outcome of our work is the formal establishment of different sub-networks composed by non-coding RNAs and coding genes with validated relations in human breast cancer. This review describes in a concise and unbiased fashion the core of our current knowledge on the role of lncRNAs, miRNAs and other non-coding RNAs in breast cancer.

conclusionsA number of coding/non-coding gene interactions have been investigated in breast cancer during recent years and their full extent is still being established. Here, we have unveiled some of the most important networks embracing those interactions, and described their involvement in cancer development and in its malignant progression.

Indexed as

Gene Expression Regulation, NeoplasticMolecular Targeted TherapyAnimalsAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsFemaleHumansRNA, Long NoncodingAntineoplastic AgentsBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID32188472
PMCPMC7079433

What OpenQuestion 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 OpenQuestion graph.