Evidence map›Paper›PMID 26272696›Full record

ArticleMolecular cancer2015

CD90+ liver cancer cells modulate endothelial cell phenotype through the release of exosomes containing H19 lncRNA.

Alice Conigliaro, Viviana Costa, Alessia Lo Dico, Laura Saieva, Simona Buccheri, Francesco Dieli, Mauro Manno, Samuele Raccosta, Carmine Mancone, Marco Tripodi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 304 papers.

0numbers the graph read from it
0cells of the map it votes in
304citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

304 citing papers in PubMed, 431 citations in OpenAlex.

  1. Trial
  2. Understanding how hypoxia contributes to liver cancer stem cells maintenance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  9. 80 years of extracellular vesicles: from discovery to clinical translation.Extracellular vesicles and circulating nucleic acids · 2026
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244 more citing papers are in PubMed but not listed here.

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 4 institutions in 1 country.

Alice ConigliaroDipartimento di Biotecnologie Cellulari ed Ematologia, Sapienza University of Rome, c/o Policlinico Umberto I, V Clinica Medica Viale Regina Elena, Rome, 324-00161, Italy. alice.conigliaro@uniroma1.it.
Viviana CostaLaboratory of Tissue Engineering - Innovative Technology Platforms for Tissue Engineering (PON01-00829), Rizzoli Orthopedic Institute, Palermo, Italy.
Alessia Lo DicoDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy.
Laura SaievaDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy.
Simona BuccheriDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy.
Francesco DieliDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy.
Mauro MannoInstitute of Biophysics, National Research Council of Italy, Palermo, Italy.
Samuele RaccostaInstitute of Biophysics, National Research Council of Italy, Palermo, Italy.
Carmine ManconeDipartimento di Biotecnologie Cellulari ed Ematologia, Sapienza University of Rome, c/o Policlinico Umberto I, V Clinica Medica Viale Regina Elena, Rome, 324-00161, Italy.
Marco TripodiNational Institute for Infectious Diseases L. Spallanzani, IRCCS, Rome, Italy.
Giacomo De LeoDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy.
Riccardo AlessandroDipartimento di Biopatologia e Biotecnologie Mediche, University of Palermo, Via Divisi 83-90133, Palermo, Italy. riccardo.alessandro@unipa.it.
University of Palermo · ITNational Research Council · ITPoliclinico Umberto I · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD90+ liver cancer cells have been described as cancer stem-cell-like (CSC), displaying aggressive and metastatic phenotype. Using two different in vitro models, already described as CD90+ liver cancer stem cells, our aim was to study their interaction with endothelial cells mediated by the release of exosomes.

methodsExosomes were isolated and characterized from both liver CD90+ cells and hepatoma cell lines. Endothelial cells were treated with exosomes, as well as transfected with a plasmid containing the full length sequence of the long non-coding RNA (lncRNA) H19. Molecular and functional analyses were done to characterize the endothelial phenotype after treatments.

resultsExosomes released by CD90+ cancer cells, but not by parental hepatoma cells, modulated endothelial cells, promoting angiogenic phenotype and cell-to-cell adhesion. LncRNA profiling revealed that CD90+ cells were enriched in lncRNA H19, and released this through exosomes. Experiments of gain and loss of function of H19 showed that this LncRNA plays an important role in the exosome-mediated phenotype of endothelial cells.

conclusionsOur data indicate a new exosome-mediated mechanism by which CSC-like CD90+ cells could influence their tumor microenvironment by promoting angiogenesis. Moreover, we suggest the lncRNA H19 as a putative therapeutic target in hepatocellular carcinoma.

Indexed as

PhenotypeCell AdhesionCell Line, TumorEndothelial CellsExosomesHumansHuman Umbilical Vein Endothelial CellsLiver NeoplasmsRNA, Long NoncodingThy-1 AntigensH19 long non-coding RNARNA, Long NoncodingThy-1 Antigens

Identifiers

PMID26272696
PMCPMC4536801
OpenAlexW2129680066

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.