Evidence map›Paper›PMID 27579604›Full record

ArticlePloS one2016

Distinct Small RNA Signatures in Extracellular Vesicles Derived from Breast Cancer Cell Lines.

Tonje Fiskaa, Erik Knutsen, Marlen Aas Nikolaisen, Tor Erik Jørgensen, Steinar Daae Johansen, Maria Perander, Ole Morten Seternes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. 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
3.5field-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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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
  5. The Exosome-like Vesicles ofInternational journal of molecular sciences · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. 3D Cellular Architecture Affects MicroRNA and Protein Cargo of Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Exosomes in Cancer Liquid Biopsy: A Focus on Breast Cancer.Molecular therapy. Nucleic acids · 2018
    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

7 authors at 2 institutions in 1 country.

Tonje FiskaaDepartment of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.ORCID http://orcid.org/0000-0002-3906-8825
Erik KnutsenDepartment of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.
Marlen Aas NikolaisenDepartment of Pharmacy, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.
Tor Erik JørgensenMarine Genomics group, Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Steinar Daae JohansenDepartment of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.
Maria PeranderDepartment of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.
Ole Morten SeternesDepartment of Pharmacy, Faculty of Health Sciences, UiT-The Arctic University of Norway, MH-building Breivika, Tromsø, N-9037, Norway.
UiT The Arctic University of Norway · NONord University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease, and different subtypes of breast cancer show distinct cellular morphology, gene expression, metabolism, motility, proliferation, and metastatic potential. Understanding the molecular features responsible for this heterogeneity is important for correct diagnosis and better treatment strategies. Extracellular vesicles (EVs) and their associated molecules have gained much attention as players in intercellular communication, ability to precondition specific organs for metastatic invasion, and for their potential role as circulating cancer biomarkers. EVs are released from the cells and contain proteins, DNA, and long and small RNA species. Here we show by high-throughput small RNA-sequencing that EVs from nine different breast cancer cell lines share common characteristics in terms of small RNA content that are distinct from their originating cells. Most strikingly, a highly abundant small RNA molecule derived from the nuclear 28S rRNA is vastly enriched in EVs. The miRNA profiles in EVs correlate with the cellular miRNA expression pattern, but with a few exceptions that includes miR-21. This cancer-associated miRNA is retained in breast cancer cell lines. Finally, we report that EVs from breast cancer cell lines cluster together based on their small RNA signature when compared to EVs derived from other cancer cell lines. Altogether, our data demonstrate that breast cancer cell lines manifest a specific small RNA signature in their released EVs. This opens up for further evaluation of EVs as breast cancer biomarkers.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorExtracellular VesiclesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMCF-7 CellsMicroRNAsRNA, Ribosomal, 28SRNA, Small UntranslatedSequence Analysis, RNABiomarkers, TumorMicroRNAsMIRN21 microRNA, humanRNA, Ribosomal, 28SRNA, Small Untranslated

Identifiers

PMID27579604
PMCPMC5006963
OpenAlexW2516965353

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.