Evidence map›Paper›PMID 25749043›Full record

ArticleOncotarget2015

Coexpression analysis of CD133 and CD44 identifies proneural and mesenchymal subtypes of glioblastoma multiforme.

Daniel V Brown, Paul M Daniel, Giovanna M D'Abaco, Andrew Gogos, Wayne Ng, Andrew P Morokoff, Theo Mantamadiotis

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  9. Tumor heterogeneity and resistance in glioblastoma: the role of stem cells.Apoptosis : an international journal on programmed cell death · 2025
    Review
  10. Article
  11. Review
  12. Review
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  14. A Synopsis of Biomarkers in Glioblastoma: Past and Present.Current issues in molecular biology · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

5 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

7 authors at 1 institution in 1 country.

Daniel V BrownDepartment of Pathology, University of Melbourne, Melbourne, Australia.
Paul M DanielDepartment of Pathology, University of Melbourne, Melbourne, Australia.
Giovanna M D'AbacoDepartment of Surgery (RMH), University of Melbourne, Parkville, Victoria, Australia.
Andrew GogosDepartment of Surgery (RMH), University of Melbourne, Parkville, Victoria, Australia.
Wayne NgDepartment of Surgery (RMH), University of Melbourne, Parkville, Victoria, Australia.
Andrew P MorokoffDepartment of Surgery (RMH), University of Melbourne, Parkville, Victoria, Australia.
Theo MantamadiotisDepartment of Pathology, University of Melbourne, Melbourne, Australia.
University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence suggests that the stem cell markers CD133 and CD44 indicate molecular subtype in Glioblastoma Multiforme (GBM). Gene coexpression analysis of The Cancer Genome Atlas GBM dataset was undertaken to compare markers of the Glioblastoma Stem-Progenitor Cell (GSPC) phenotype. Pearson correlation identified genes coexpressed with stem cell markers, which were then used to build a gene signature that classifies patients based on a CD133 coexpression module signature (CD133-M) or CD44-M subtype. CD133-M tumors were enriched for the Proneural (PN) GBM subtype compared to Mesenchymal (MES) subtype for CD44-M tumors. Gene set enrichment identified DNA replication/cell cycle genes in the CD133-M and invasion/migration in CD44-M, while functional experiments showed enhanced cellular growth in CD133 expressing cells and enhanced invasion in cells expressing CD44. As with the 4 major molecular subtypes of GBM, there was no long-term survival difference between CD44-M and CD133-M patients, although CD44-M patients responded better to temozolomide while CD133-M patients benefited from radiotherapy. The use of a targeted coexpression approach to predict functional properties of surface marker expressing cells is novel, and in the context of GBM, supports accumulating evidence that CD133 and CD44 protein marker expression correlates with molecular subtype.

Indexed as

AC133 AntigenAntigens, CDBiomarkers, TumorBrain NeoplasmsCell ProliferationDacarbazineGene Expression ProfilingGlioblastomaGlycoproteinsHumansHyaluronan ReceptorsMesodermNeoplastic Stem CellsNeural Stem CellsPeptidesPredictive Value of TestsAC133 AntigenAntigens, CDBiomarkers, TumorDacarbazineGlycoproteinsHyaluronan ReceptorsPeptidesPROM1 protein, humanTemozolomidecancer genome atlascancer stem cellscoexpressionglioblastomamolecular subtype

Identifiers

PMID25749043
PMCPMC4467436
OpenAlexW1520745352

What OpenQuestion holds

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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.