Evidence map›Paper›PMID 32904996›Full record

ArticleNeuro-oncology advances

Metabolism-based isolation of invasive glioblastoma cells with specific gene signatures and tumorigenic potential.

Stuart James Smith, Jonathan Rowlinson, Maria Estevez-Cebrero, David Onion, Alison Ritchie, Phil Clarke, Katie Wood, Mohammed Diksin, Anbarasu Lourdusamy, Richard Guy Grundy and 1 more

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. 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
2.8field-weighted citation impact, top 9% 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, 38 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Stuart James SmithChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-4556-2707
Jonathan RowlinsonChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Maria Estevez-CebreroChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
David OnionSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Alison RitchieDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Phil ClarkeDivision of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Katie WoodChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Mohammed DiksinChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Anbarasu LourdusamyChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Richard Guy GrundyChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Ruman RahmanChildren's Brain Tumour Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
University of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is a highly aggressive brain tumor with rapid subclonal diversification, harboring molecular abnormalities that vary temporospatially, a contributor to therapy resistance. Fluorescence-guided neurosurgical resection utilizes the administration of 5-aminolevulinic acid (5-ALA) generating individually fluorescent tumor cells within a background population of non-neoplastic cells in the invasive tumor region. The aim of the study was to specifically isolate and interrogate the invasive GBM cell population using a novel 5-ALA-based method.

methodsWe have isolated the critical invasive GBM cell population by developing 5-ALA-based metabolic fluorescence-activated cell sorting. This allows purification and study of invasive cells from GBM without an overwhelming background "normal brain" signal to confound data. The population was studied using RNAseq, real-time PCR, and immunohistochemistry, with gene targets functionally interrogated on proliferation and migration assays using siRNA knockdown and known drug inhibitors.

resultsRNAseq analysis identifies specific genes such as

conclusionsIdentification of unique molecular features in the invasive GBM population offers hope for developing more efficacious targeted therapies compared to targeting the tumor core and for isolating tumor subpopulations based upon intrinsic metabolic properties.

Indexed as

5-aminolevulinic acidgene expressionglioblastomaheterogeneityneurosurgery

Identifiers

PMID32904996
PMCPMC7462276
OpenAlexW3042263525

What OpenQuestion holds

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Read underepoch 390

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.