Evidence map›Paper›PMID 24104964›Full record

ArticleBritish journal of cancer2013

MicroRNA-based molecular classification of non-BRCA1/2 hereditary breast tumours.

M Tanic, E Andrés, S M Rodriguez-Pinilla, I Marquez-Rodas, M Cebollero-Presmanes, V Fernandez, A Osorio, J Benítez, B Martinez-Delgado

Abstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Bias in microRNA functional enrichment analysis.Bioinformatics (Oxford, England) · 2015
    Article
  8. Article
  9. miRGate: a curated database of human, mouse and rat miRNA-mRNA targets.Database : the journal of biological databases and curation · 2015
    Article
  10. Article
  11. Article
  12. Article
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  14. 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

9 authors.

M TanicHuman Genetics Group, Spanish National Cancer Research Centre (CNIO) y Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain.
E Andrés
S M Rodriguez-Pinilla
I Marquez-Rodas
M Cebollero-Presmanes
V Fernandez
A Osorio
J Benítez
B Martinez-Delgado

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHereditary breast cancer comprises 5-10% of all breast cancers. Mutations in two high-risk susceptibility genes, BRCA1 and BRCA2, along with rare intermediate-risk genes and common low-penetrance alleles identified, altogether explain no more than 45% of the high-risk breast cancer families, although the majority of cases are unaccounted for and are designated as BRCAX tumours. Micro RNAs have called great attention for classification of different cancer types and have been implicated in a range of important biological processes and are deregulated in cancer pathogenesis.

methodsHere we have performed an exploratory hypothesis-generating study of miRNA expression profiles in a large series of 66 primary hereditary breast tumours by microarray analysis.

resultsUnsupervised clustering analysis of miRNA molecular profiles revealed distinct subgroups of BRCAX tumours, 'normal-like' BRCAX-A, 'proliferative' BRCAX-B, 'BRCA1/2-like' BRCAX-C and 'undefined' BRCAX-D subgroup. These findings introduce a new insight in the biology of hereditary breast cancer, defining specific BRCAX subgroups, which could help in the search for novel susceptibility pathways in hereditary breast cancer.

conclusionOur data demonstrate that BRCAX hereditary breast tumours can be sub-classified into four previously unknown homogenous groups characterised by specific miRNA expression signatures and histopathological features.

Indexed as

TranscriptomeAdultAgedAged, 80 and overAlgorithmsBreast NeoplasmsCluster AnalysisFemaleGene Expression Regulation, NeoplasticGenes, BRCA1Genes, BRCA2HumansMicroarray AnalysisMicroRNAsMiddle AgedMicroRNAs

Identifiers

PMID24104964
PMCPMC3833208

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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.