Evidence map›Paper›PMID 30783203›Full record

ArticleBritish journal of cancer2019

MicroRNA-196a is regulated by ER and is a prognostic biomarker in ER+ breast cancer.

Michael J G Milevskiy, Udai Gujral, Carolina Del Lama Marques, Andrew Stone, Korinne Northwood, Lez J Burke, Julia M W Gee, Kenneth Nephew, Susan Clark, Melissa A Brown

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 17β-estradiol promotes extracellular vesicle release and selective miRNA loading in ERα-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Expression Profiles of Estrogen-Regulated MicroRNAs in Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. miR-140 and miR-196a as Potential Biomarkers in Breast Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  19. Review
  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

10 authors at 4 institutions in 3 countries.

Michael J G MilevskiySchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia. milevskiy.m@wehi.edu.au.
Udai GujralSchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia.
Carolina Del Lama MarquesSchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia.
Andrew StoneDivision of Genomics and Epigenetics, Epigenetics Research Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Korinne NorthwoodSchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia.
Lez J BurkeSchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia.
Julia M W GeeSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK.
Kenneth NephewSchool of Medicine, Indiana University, Bloomington, IN, USA.
Susan ClarkDivision of Genomics and Epigenetics, Epigenetics Research Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Melissa A BrownSchool of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD, Australia.
University of Queensland · AUGarvan Institute of Medical Research · AUCardiff University · GBIndiana University Bloomington · US

Funding

Cancer Research UK
6 · The paper itself

Abstract

backgroundMicroRNAs are potent post-transcriptional regulators involved in all hallmarks of cancer. Mir-196a is transcribed from two loci and has been implicated in a wide range of developmental and pathogenic processes, with targets including Hox, Fox, Cdk inhibitors and annexins. Genetic variants and altered expression of MIR196A are associated with risk and progression of multiple cancers including breast cancer, however little is known about the regulation of the genes encoding this miRNA, nor the impact of variants therein.

methodsGenomic data and chromatin interaction analysis were used to discover functional promoter and enhancer elements for MIR196A. Expression data were used to associate MIR196A with mechanisms of resistance, breast cancer subtypes and prognosis.

resultsHere we demonstrate that MIR196A displays complex and dynamic expression patterns, in part controlled by long-range transcriptional regulation between promoter and enhancer elements bound by ERα. Expression of this miRNA is significantly increased in drug-resistant models of hormone-receptor positive disease. The expression of MIR196A also proves to be a robust prognostic factor for patients with advanced and post-menopausal ER+ disease.

conclusionThis work sheds light on the normal and abnormal regulation of MIR196A and provides a novel stratification method for therapeutically resistant breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsChromatinDisease ProgressionDNA MethylationDrug Resistance, NeoplasmEstrogen Receptor alphaFemaleGene Expression Regulation, NeoplasticHomeodomain ProteinsHumansMCF-7 CellsMicroRNAsPrognosisTamoxifenBiomarkers, TumorChromatinEstrogen Receptor alphaHomeodomain ProteinsHOXA7 protein, humanHOXC10 protein, humanHOXC11 protein, humanMicroRNAsMIRN196 microRNA, humanTamoxifen

Identifiers

PMID30783203
PMCPMC6461839
OpenAlexW2949918164

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.