Evidence map›Paper›PMID 26573230›Full record

ArticleOncotarget2016

Transmembrane protein CD9 is glioblastoma biomarker, relevant for maintenance of glioblastoma stem cells.

Neža Podergajs, Helena Motaln, Uroš Rajčević, Urška Verbovšek, Marjan Koršič, Nina Obad, Heidi Espedal, Miloš Vittori, Christel Herold-Mende, Hrvoje Miletic and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 6% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Article
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  10. Live Organoid Cyclic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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 6 institutions in 4 countries.

Neža PodergajsDepartment of Genetic Toxicology and Cancer Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
Helena MotalnDepartment of Genetic Toxicology and Cancer Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
Uroš RajčevićDepartment of Biochemistry, Blood Transfusion Centre of Slovenia, 1000 Ljubljana, Slovenia.
Urška VerbovšekDepartment of Genetic Toxicology and Cancer Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
Marjan KoršičDepartment of Neurosurgery, University Medical Centre, University of Ljubljana, 1000 Ljubljana, Slovenia.
Nina ObadDepartment of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Heidi EspedalDepartment of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Miloš VittoriDepartment of Genetic Toxicology and Cancer Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
Christel Herold-MendeDivision of Neurosurgical Research, Department of Neurosurgery, University of Heidelberg, 69120 Heidelberg, Germany.
Hrvoje MileticDepartment of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Rolf BjerkvigDepartment of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Tamara Lah TurnšekDepartment of Genetic Toxicology and Cancer Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
National Institute of Biology · SIUniversity of Bergen · NOBlood Transfusion Centre of Slovenia · SIHeidelberg University · DELaboratoire National de Santé · LULjubljana University Medical Centre · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cancer stem cell model suggests that glioblastomas contain a subpopulation of stem-like tumor cells that reproduce themselves to sustain tumor growth. Targeting these cells thus represents a novel treatment strategy and therefore more specific markers that characterize glioblastoma stem cells need to be identified. In the present study, we performed transcriptomic analysis of glioblastoma tissues compared to normal brain tissues revealing sensible up-regulation of CD9 gene. CD9 encodes the transmembrane protein tetraspanin which is involved in tumor cell invasion, apoptosis and resistance to chemotherapy. Using the public REMBRANDT database for brain tumors, we confirmed the prognostic value of CD9, whereby a more than two fold up-regulation correlates with shorter patient survival. We validated CD9 gene and protein expression showing selective up-regulation in glioblastoma stem cells isolated from primary biopsies and in primary organotypic glioblastoma spheroids as well as in U87-MG and U373 glioblastoma cell lines. In contrast, no or low CD9 gene expression was observed in normal human astrocytes, normal brain tissue and neural stem cells. CD9 silencing in three CD133+ glioblastoma cell lines (NCH644, NCH421k and NCH660h) led to decreased cell proliferation, survival, invasion, and self-renewal ability, and altered expression of the stem-cell markers CD133, nestin and SOX2. Moreover, CD9-silenced glioblastoma stem cells showed altered activation patterns of the Akt, MapK and Stat3 signaling transducers. Orthotopic xenotransplantation of CD9-silenced glioblastoma stem cells into nude rats promoted prolonged survival. Therefore, CD9 should be further evaluated as a target for glioblastoma treatment.

Indexed as

AnimalsBiomarkers, TumorBlotting, WesternBrain NeoplasmsCell Line, TumorCell ProliferationCell SurvivalGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaHumansNeoplastic Stem CellsOrgan Culture TechniquesRats, NudeReverse Transcriptase Polymerase Chain ReactionRNA InterferenceBiomarkers, TumorTetraspanin 29biomarkerCD9glioblastoma stem cellsneural stem cellstetraspanin

Identifiers

PMID26573230
PMCPMC4808020
OpenAlexW2175266268

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.