Evidence map›Paper›PMID 29137313›Full record

ArticleOncotarget2017

RNA-seq reveals distinctive RNA profiles of small extracellular vesicles from different human liver cancer cell lines.

Martina Berardocco, Annalisa Radeghieri, Sara Busatto, Marialucia Gallorini, Chiara Raggi, Clarissa Gissi, Igea D'Agnano, Paolo Bergese, Armando Felsani, Anna C Berardi

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. The Biology and Function of Extracellular Vesicles in Cancer Development.Frontiers in cell and developmental biology · 2021
    Review
  17. Review
  18. 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.

Martina BerardoccoU.O.C. of Immunohaematology and Transfusion Medicine, Laboratory of Stem Cells, Spirito Santo Hospital, Pescara, Italy.
Annalisa RadeghieriDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Sara BusattoDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Marialucia GalloriniDepartment of Pharmacy, University G. d'Annunzio, Chieti, Italy.
Chiara RaggiCenter for Autoimmune Liver Diseases, Humanitas Clinical and Research Center, Rozzano, Italy.
Clarissa GissiU.O.C. of Immunohaematology and Transfusion Medicine, Laboratory of Stem Cells, Spirito Santo Hospital, Pescara, Italy.
Igea D'AgnanoInstitute of Cell Biology and Neurobiology, CNR, Monterotondo, Italy.
Paolo BergeseDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Armando FelsaniInstitute of Cell Biology and Neurobiology, CNR, Monterotondo, Italy.
Anna C BerardiU.O.C. of Immunohaematology and Transfusion Medicine, Laboratory of Stem Cells, Spirito Santo Hospital, Pescara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer (LC) is one of the most common cancers and represents the third highest cause of cancer-related deaths worldwide. Extracellular vesicle (EVs) cargoes, which are selectively enriched in RNA, offer great promise for the diagnosis, prognosis and treatment of LC. Our study analyzed the RNA cargoes of EVs derived from 4 liver-cancer cell lines: HuH7, Hep3B, HepG2 (hepato-cellular carcinoma) and HuH6 (hepatoblastoma), generating two different sets of sequencing libraries for each. One library was size-selected for small RNAs and the other targeted the whole transcriptome. Here are reported genome wide data of the expression level of coding and non-coding transcripts, microRNAs, isomiRs and snoRNAs providing the first comprehensive overview of the extracellular-vesicle RNA cargo released from LC cell lines. The EV-RNA expression profiles of the four liver cancer cell lines share a similar background, but cell-specific features clearly emerge showing the marked heterogeneity of the EV-cargo among the individual cell lines, evident both for the coding and non-coding RNA species.

Indexed as

extracellular vesiclesliver cancermicroRNARNA sequencingsmall nucleolar RNA

Identifiers

PMID29137313
PMCPMC5669939

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.