Evidence map›Paper›PMID 20499142›Full record

ReviewJournal of mammary gland biology and neoplasia2010

microRNAs and EMT in mammary cells and breast cancer.

Josephine A Wright, Jennifer K Richer, Gregory J Goodall

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Breast Morphogenesis: From Normal Development to Cancer.Advances in experimental medicine and biology · 2025
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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  10. miR-206/133b Cluster: A Weapon against Lung Cancer?Molecular therapy. Nucleic acids · 2017
    Review
  11. Article
  12. Lactation-Related MicroRNA Expression in Microvesicles of Human Umbilical Cord Blood.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
  13. Article
  14. Article
  15. Connecting the dots: chromatin and alternative splicing in EMT.Biochemistry and cell biology = Biochimie et biologie cellulaire · 2016
    Review
  16. Article
  17. Review
  18. Review
  19. 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

3 authors.

Josephine A WrightCentre for Cancer Biology, SA Pathology, Frome Road, Adelaide, SA 5000, Australia. josephine.wright@health.sa.gov.au
Jennifer K Richer
Gregory J Goodall

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are master regulators of gene expression in many biological and pathological processes, including mammary gland development and breast cancer. The differentiation program termed the epithelial to mesenchymal transition (EMT) involves changes in a number of microRNAs. Some of these microRNAs have been shown to control cellular plasticity through the suppression of EMT-inducers or to influence cellular phenotype through the suppression of genes involved in defining the epithelial and mesenchymal cell states. This has led to the suggestion that microRNAs maybe a novel therapeutic target for the treatment of breast cancer. In this review, we will discuss microRNAs that are involved in EMT in mammary cells and breast cancer.

Indexed as

Cell TransdifferentiationGene Expression RegulationAnimalsAntineoplastic AgentsBreast NeoplasmsCell DedifferentiationEpithelial CellsFemaleGene Expression Regulation, NeoplasticHumansMammary Glands, AnimalMammary Glands, HumanMammary Neoplasms, ExperimentalMesenchymal Stem CellsMicroRNAsAntineoplastic AgentsMicroRNAs

Identifiers

What OpenQuestion holds

Textmetadata
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.