Evidence map›Paper›PMID 19288188›Full record

ArticleCellular and molecular neurobiology2009

Flow cytometry analysis of neural differentiation markers expression in human glioblastomas may predict their response to chemotherapy.

Vladimir Balik, Peter Mirossay, Peter Bohus, Igor Sulla, Ladislav Mirossay, Marek Sarissky

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular neurobiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Mesenchymal Properties of Glioma Cell Lines.Bulletin of experimental biology and medicine · 2024
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  9. Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018
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  17. What is the clinical value of cancer stem cell markers in gliomas?International journal of clinical and experimental pathology · 2013
    Review
  18. Molecular alterations in glioblastoma: potential targets for immunotherapy.Progress in molecular biology and translational science · 2011
    Review
  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

6 authors at 3 institutions in 1 country.

Vladimir BalikDepartment of Neurosurgery, Faculty of Medicine and Louis Pasteur University Hospital, PJ Safarik University, Kosice, Slovak Republic.
Peter Mirossay
Peter Bohus
Igor Sulla
Ladislav Mirossay
Marek Sarissky
University of Pavol Jozef Šafárik · SKUniverzitná Nemocnica Louisa Pasteura · SKUniversity of Veterinary Medicine in Košice · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) represents an extremely chemoresistant tumour type. Here, authors analysed the immunophenotype of GBM tumours by flow cytometry and correlated the immunophenotypic characteristics with sensitivity to chemotherapy. The expression of selected neural and non-neural differentiation markers including A2B5, CD34, CD45, CD56, CD117, CD133, EGFR, GFAP, Her-2/neu, LIFR, nestin, NGFR, Pgp and vimentin was analysed by flow cytometry in eleven GBM (WHO gr.IV) patients. The sensitivity of tumour cells to a panel of chemotherapeutic agents was tested by the MTT assay. All tumours were positive for A2B5, CD56, nestin and vimentin. CD133, EGFR, LIFR, NGFR and Pgp were expressed only by minor tumour cell subpopulations. CD34, CD45, CD117, GFAP and Her-2/neu were constantly negative. Direct correlations were found between the immunophenotypic markers and chemosensitivity: A2B5 vs lomustine (r(2) = 0.642, P = 0.033), CD56 vs cisplatin (r(2) = 0.745, P = 0.013), %Pgp(+) vs vincristine (r(2) = 0.846, P = 0.008), and %NGFR(+) vs daunorubicine (r(2) = 0.672, P = 0.047) and topotecan (r(2) = 0.792, P = 0.011). In contrast, inverse correlations were observed between: EGFR vs paclitaxel (r(2) = -0.676, P = 0.046), CD133 vs dacarbazine (r(2) = -0.636, P = 0.048) and LIFR vs daunorubicine (r(2) = -0.878, P = 0.004). Finally, significant associations were also found among sensitivities to different chemotherapeutic agents and among different immunophenotypic markers. In conclusion, histopathologically identical GBM tumours displayed a marked immunophenotypic heterogeneity. The expression of A2B5, CD56, NGFR and Pgp appeared to be associated with chemoresistance whereas CD133, EGFR and LIFR expression was characteristic of chemosensitive tumours. We suggest that flow cytometric imunophenotypic analysis of GBM may predict chemoresponsiveness and help to identify patients who could potentially benefit from chemotherapy.

Indexed as

AdultAntineoplastic AgentsBiomarkers, TumorBrain NeoplasmsCell DifferentiationFemaleFlow CytometryGlioblastomaHumansImmunophenotypingMaleMiddle AgedNeuronsPredictive Value of TestsTumor Cells, CulturedAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID19288188
PMCPMC11505807
OpenAlexW2007694418

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.