Evidence map›Paper›PMID 21859839›Full record

ArticleMolecular cancer therapeutics2011

A molecular screening approach to identify and characterize inhibitors of glioblastoma stem cells.

Koppany Visnyei, Hideyuki Onodera, Robert Damoiseaux, Kuniyasu Saigusa, Syuzanna Petrosyan, David De Vries, Denise Ferrari, Jonathan Saxe, Eduard H Panosyan, Michael Masterman-Smith and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. International journal of molecular sciences · 2021
    Article
  9. Article
  10. Review
  11. GPR55 Receptor Activation by theInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Gene silencing of HIF-2α disrupts glioblastoma stem cell phenotype.Cancer drug resistance (Alhambra, Calif.) · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

16 authors at 2 institutions in 1 country.

Koppany VisnyeiIntellectual and Developmental Disabilities Research Center, Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA.
Hideyuki Onodera
Robert Damoiseaux
Kuniyasu Saigusa
Syuzanna Petrosyan
David De Vries
Denise Ferrari
Jonathan Saxe
Eduard H Panosyan
Michael Masterman-Smith
Jack Mottahedeh
Kenneth A Bradley
Jing Huang
Chiara Sabatti
Ichiro Nakano
Harley I Kornblum
California NanoSystems Institute · USUniversity of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA Center for Biological RadioprotectorsU19AI067769 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCBRIDE, WILLIAM H. · 2005 to 2019
$44.6M
Neural Progenitor Genes and Brain TumorsR01NS052563 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KORNBLUM, HARLEY IAN · 2006 to 2015
$2.4M
Exploiting TOR Signaling for Cancer Drug DiscoveryR01CA124974 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, JING · 2007 to 2011
$1.5M
Neural Progenitor Genes and Brain TumorsR56NS052563 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KORNBLUM, HARLEY IAN · 2010 to 2010
$231k
NCI NIH HHS CA016042NCI NIH HHS CA124974NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA124974NIAID NIH HHS AI67769NIAID NIH HHS U19 AI067769NINDS NIH HHS NS052563NINDS NIH HHS R01 NS052563NINDS NIH HHS R56 NS052563
6 · The paper itself

Abstract

Glioblastoma (GBM) is among the most lethal of all cancers. GBM consist of a heterogeneous population of tumor cells among which a tumor-initiating and treatment-resistant subpopulation, here termed GBM stem cells, have been identified as primary therapeutic targets. Here, we describe a high-throughput small molecule screening approach that enables the identification and characterization of chemical compounds that are effective against GBM stem cells. The paradigm uses a tissue culture model to enrich for GBM stem cells derived from human GBM resections and combines a phenotype-based screen with gene target-specific screens for compound identification. We used 31,624 small molecules from 7 chemical libraries that we characterized and ranked based on their effect on a panel of GBM stem cell-enriched cultures and their effect on the expression of a module of genes whose expression negatively correlates with clinical outcome: MELK, ASPM, TOP2A, and FOXM1b. Of the 11 compounds meeting criteria for exerting differential effects across cell types used, 4 compounds showed selectivity by inhibiting multiple GBM stem cells-enriched cultures compared with nonenriched cultures: emetine, n-arachidonoyl dopamine, n-oleoyldopamine (OLDA), and n-palmitoyl dopamine. ChemBridge compounds #5560509 and #5256360 inhibited the expression of the 4 mitotic module genes. OLDA, emetine, and compounds #5560509 and #5256360 were chosen for more detailed study and inhibited GBM stem cells in self-renewal assays in vitro and in a xenograft model in vivo. These studies show that our screening strategy provides potential candidates and a blueprint for lead compound identification in larger scale screens or screens involving other cancer types.

Indexed as

AnimalsAntineoplastic AgentsBrain NeoplasmsCell Growth ProcessesCell Line, TumorCell Transformation, NeoplasticCulture Media, Serum-FreeEmetineEpidermal Growth FactorFibroblast Growth FactorsGene ExpressionGlioblastomaHigh-Throughput Screening AssaysHumansMiceMice, Inbred NODAntineoplastic AgentsCulture Media, Serum-FreeEmetineEpidermal Growth FactorFibroblast Growth Factors

Identifiers

PMID21859839
PMCPMC3191241
OpenAlexW2165921443

What OpenQuestion holds

Textmetadata
LicenceTDM
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.