Evidence map›Paper›PMID 21183510›Full record

ArticleNeuro-oncology2011

APO010, a synthetic hexameric CD95 ligand, induces human glioma cell death in vitro and in vivo.

Günter Eisele, Patrick Roth, Kathy Hasenbach, Steffen Aulwurm, Fabian Wolpert, Ghazaleh Tabatabai, Wolfgang Wick, Michael Weller

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 49 citations in OpenAlex.

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  20. Death receptors as targets in cancer.British journal of pharmacology · 2013
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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

8 authors at 4 institutions in 3 countries.

Günter EiseleDepartment of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, CH-8091 Zurich, Switzerland. guenter.eisele@usz.ch
Patrick Roth
Kathy Hasenbach
Steffen Aulwurm
Fabian Wolpert
Ghazaleh Tabatabai
Wolfgang Wick
Michael Weller
University Hospital of Zurich · CHHeidelberg University · DEUniversity of Tübingen · DERichardson Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Death receptor targeting has emerged as one of the promising novel approaches of cancer therapy. The activation of one such prototypic death receptor, CD95 (Fas/APO-1), has remained controversial because CD95 agonistic molecules have exhibited either too strong toxicity or too little activity. The natural CD95 ligand (CD95L) is a cytokine, which needs to trimerize to mediate a cell death signal. Mega-Fas-Ligand, now referred to as APO010, is a synthetic hexameric CD95 agonist that exhibits strong antitumor activity in various tumor models. Here, we studied the effects of APO010 in human glioma models in vitro and in vivo. Compared with a cross-linked soluble CD95L or a CD95-agonistic antibody, APO010 exhibited superior activity in glioma cell lines expressing CD95 and triggered caspase-dependent cell death. APO010 reduced glioma cell viability in synergy when combined with temozolomide. The locoregional administration of APO010 induced glioma cell death in vivo and prolonged the survival of tumor-bearing mice. A further exploration of APO010 as a novel antiglioma agent is warranted.

Indexed as

AnimalsApoptosisBlotting, WesternBrain NeoplasmsCell ProliferationFas Ligand Proteinfas ReceptorFlow CytometryGliomaHumansImmunoenzyme TechniquesIn Vitro TechniquesMiceRecombinant Fusion ProteinsTumor Cells, CulturedFas Ligand Proteinfas ReceptorMega-Fas-ligandRecombinant Fusion Proteins

Identifiers

PMID21183510
PMCPMC3064626
OpenAlexW2123462444

What OpenQuestion holds

Textmetadata
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.