Evidence map›Paper›PMID 25268354›Full record

ArticlePloS one2014

Response-predictive gene expression profiling of glioma progenitor cells in vitro.

Sylvia Moeckel, Katharina Meyer, Petra Leukel, Fabian Heudorfer, Corinna Seliger, Christina Stangl, Ulrich Bogdahn, Martin Proescholdt, Alexander Brawanski, Arabel Vollmann-Zwerenz and 4 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Drug Repurposing of Metabolic Agents in Malignant Glioma.International journal of molecular sciences · 2018
    Review
  9. Article
  10. Article
  11. Article
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

14 authors.

Sylvia MoeckelDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Katharina MeyerInstitute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Petra LeukelDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Fabian HeudorferDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Corinna SeligerDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Christina StanglDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Ulrich BogdahnDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Martin ProescholdtDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Alexander BrawanskiDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Arabel Vollmann-ZwerenzDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Markus J RiemenschneiderDepartment of Neuropathology, Regensburg University Hospital, Regensburg, Germany.
Anja-Katrin BosserhoffInstitute of Pathology, University of Regensburg, Regensburg, Germany.
Rainer SpangInstitute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Peter HauDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-grade gliomas are amongst the most deadly human tumors. Treatment results are disappointing. Still, in several trials around 20% of patients respond to therapy. To date, diagnostic strategies to identify patients that will profit from a specific therapy do not exist.

methodsIn this study, we used serum-free short-term treated in vitro cell cultures to predict treatment response in vitro. This approach allowed us (a) to enrich specimens for brain tumor initiating cells and (b) to confront cells with a therapeutic agent before expression profiling.

resultsAs a proof of principle we analyzed gene expression in 18 short-term serum-free cultures of high-grade gliomas enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated progenitor cells allowed to predict therapy-induced impairment of proliferation in vitro.

conclusionFor the tyrosine kinase inhibitor Sunitinib used in this dataset, the approach revealed additional predictive information in comparison to the evaluation of classical signaling analysis.

Indexed as

Gene Expression Regulation, NeoplasticAntineoplastic AgentsApoptosisBiomarkers, PharmacologicalBrain NeoplasmsCell DifferentiationCell ProliferationGene Expression ProfilingGliomaHumansIndolesMicroarray AnalysisNeoplasm ProteinsNeoplastic Stem CellsPyrrolesSignal TransductionAntineoplastic AgentsBiomarkers, PharmacologicalIndolesNeoplasm ProteinsPyrrolesSunitinib

Identifiers

PMID25268354
PMCPMC4182559

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.