Evidence map›Paper›PMID 27539783›Full record

ArticleRNA (New York, N.Y.)2016

An integrative transcriptomics approach identifies miR-503 as a candidate master regulator of the estrogen response in MCF-7 breast cancer cells.

Jeanette Baran-Gale, Jeremy E Purvis, Praveen Sethupathy

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Article
  3. microRNAs as Biomarkers of Breast Cancer.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Premenopausal and postmenopausal women during the COVID-19 pandemic.Przeglad menopauzalny = Menopause review · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Sex-Specific MicroRNAs in Neurovascular Units in Ischemic Stroke.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Review
  17. Review
  18. SARS-CoV-2 and the possible connection to ERs, ACE2, and RAGE: Focus on susceptibility factors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Review
  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

3 authors at 1 institution in 1 country.

Jeanette Baran-GaleCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-8779-328X
Jeremy E PurvisCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Praveen SethupathyCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-7983-239X
University of North Carolina at Chapel Hill · US

Funding

Dynamics of cellular senescence in single human cells Admin SupplementR00GM102372 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PURVIS, JEREMY · 2013 to 2015
$886k
Discovery of microRNA regulatory modules controlling human pancreatic islet functR00DK091318 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SETHUPATHY, PRAVEEN · 2012 to 2014
$737k
NIDDK NIH HHS R00 DK091318NIGMS NIH HHS R00 GM102372
6 · The paper itself

Abstract

Estrogen receptor α (ERα) is an important biomarker of breast cancer severity and a common therapeutic target. In response to estrogen, ERα stimulates a dynamic transcriptional program including both coding and noncoding RNAs. We generate a fine-scale map of expression dynamics by performing a temporal profiling of both messenger RNAs (mRNAs) and microRNAs (miRNAs) in MCF-7 cells (an ER+ model cell line for breast cancer) in response to estrogen stimulation. We identified three primary expression trends-transient, induced, and repressed-that were each enriched for genes with distinct cellular functions. Integrative analysis of mRNA and miRNA temporal expression profiles identified miR-503 as the strongest candidate master regulator of the estrogen response, in part through suppression of ZNF217-an oncogene that is frequently amplified in cancer. We confirmed experimentally that miR-503 directly targets ZNF217 and that overexpression of miR-503 suppresses MCF-7 cell proliferation. Moreover, the levels of ZNF217 and miR-503 are associated with opposite outcomes in breast cancer patient cohorts, with high expression of ZNF217 associated with poor survival and high expression of miR-503 associated with improved survival. Overall, these data indicate that miR-503 acts as a potent estrogen-induced candidate tumor suppressor miRNA that opposes cellular proliferation and has promise as a novel therapeutic for breast cancer. More generally, our work provides a systems-level framework for identifying functional interactions that shape the temporal dynamics of gene expression.

Indexed as

TranscriptomeCell ProliferationEstrogensGene Expression Regulation, NeoplasticHumansMCF-7 CellsMicroRNAsTrans-ActivatorsEstrogensMicroRNAsMIRN503 microRNA, humanTrans-ActivatorsZNF217 protein, humanbreast cancerestrogen receptor α (ERα)gene expression dynamicsmicroRNAsmiR-503ZNF217

Identifiers

PMID27539783
PMCPMC5029456
OpenAlexW2512483198

What OpenQuestion holds

Textmetadata
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.