Evidence map›Paper›PMID 33926515›Full record

ArticleGenome medicine2021

Crosstalk between microRNA expression and DNA methylation drives the hormone-dependent phenotype of breast cancer.

Miriam Ragle Aure, Thomas Fleischer, Sunniva Bjørklund, Jørgen Ankill, Jaime A Castro-Mondragon, OSBREAC, Anne-Lise Børresen-Dale, Jörg Tost, Kristine K Sahlberg, Anthony Mathelier and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Prognostic Significance ofBiomedicines · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Mapping the influence of hydrocarbons mixture on molecular mechanisms, involved in breast and lung neoplasms: in silico toxicogenomic data-mining.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
    Article
  17. The Mechanism of DNA Methylation and miRNA in Breast Cancer.International journal of molecular sciences · 2023
    Review
  18. 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

12 authors at 1 institution in 2 countries.

Miriam Ragle AureDepartment of Medical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-7739-4982
Thomas FleischerDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0310, Oslo, Norway.ORCID 0000-0003-0985-8460
Sunniva BjørklundDepartment of Medical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.
Jørgen AnkillDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0310, Oslo, Norway.ORCID 0000-0002-5752-0299
Jaime A Castro-MondragonCentre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318, Oslo, Norway.ORCID 0000-0003-4069-357X
OSBREAC
Anne-Lise Børresen-DaleDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0310, Oslo, Norway.
Jörg TostLaboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, University Paris-Saclay, Evry, France.ORCID 0000-0002-2683-0817
Kristine K SahlbergDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0310, Oslo, Norway.
Anthony MathelierDepartment of Medical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-5127-5459
Xavier Tekpli *Department of Medical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway. xavier.tekpli@medisin.uio.no.ORCID 0000-0003-4042-8290
Vessela N Kristensen *Department of Medical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway. v.n.kristensen@medisin.uio.no.
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal DNA methylation is observed as an early event in breast carcinogenesis. However, how such alterations arise is still poorly understood. microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and play key roles in various biological processes. Here, we integrate miRNA expression and DNA methylation at CpGs to study how miRNAs may affect the breast cancer methylome and how DNA methylation may regulate miRNA expression.

methodsmiRNA expression and DNA methylation data from two breast cancer cohorts, Oslo2 (n = 297) and The Cancer Genome Atlas (n = 439), were integrated through a correlation approach that we term miRNA-methylation Quantitative Trait Loci (mimQTL) analysis. Hierarchical clustering was used to identify clusters of miRNAs and CpGs that were further characterized through analysis of mRNA/protein expression, clinicopathological features, in silico deconvolution, chromatin state and accessibility, transcription factor binding, and long-range interaction data.

resultsClustering of the significant mimQTLs identified distinct groups of miRNAs and CpGs that reflect important biological processes associated with breast cancer pathogenesis. Notably, two major miRNA clusters were related to immune or fibroblast infiltration, hence identifying miRNAs associated with cells of the tumor microenvironment, while another large cluster was related to estrogen receptor (ER) signaling. Studying the chromatin landscape surrounding CpGs associated with the estrogen signaling cluster, we found that miRNAs from this cluster are likely to be regulated through DNA methylation of enhancers bound by FOXA1, GATA2, and ER-alpha. Further, at the hub of the estrogen cluster, we identified hsa-miR-29c-5p as negatively correlated with the mRNA and protein expression of DNA methyltransferase DNMT3A, a key enzyme regulating DNA methylation. We found deregulation of hsa-miR-29c-5p already present in pre-invasive breast lesions and postulate that hsa-miR-29c-5p may trigger early event abnormal DNA methylation in ER-positive breast cancer.

conclusionsWe describe how miRNA expression and DNA methylation interact and associate with distinct breast cancer phenotypes.

Indexed as

Gene Expression Regulation, NeoplasticBreast NeoplasmsChromatinCpG IslandsDNA MethylationDNA Methyltransferase 3AEnhancer Elements, GeneticFemaleGene Regulatory NetworksHormonesHumansMicroRNAsMolecular Sequence AnnotationMultigene FamilyPhenotypeQuantitative Trait LociChromatinDNA Methyltransferase 3AHormonesMicroRNAsBreast cancerMethylationmiRNAOmics integrationSystems biology

Identifiers

PMID33926515
PMCPMC8086068
OpenAlexW3159842280

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.