Evidence map›Paper›PMID 27274737›Full record

ArticleStem cells international2016

A Systematic Comparison Identifies an ATP-Based Viability Assay as Most Suitable Read-Out for Drug Screening in Glioma Stem-Like Cells.

A Kleijn, J J Kloezeman, R K Balvers, M van der Kaaij, C M F Dirven, S Leenstra, M L M Lamfers

Open access · goldAbstract read
In one paragraph

Article in Stem cells international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.8field-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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  17. Enhancing Radiation Therapy Through Cherenkov Light-Activated Phototherapy.International journal of radiation oncology, biology, physics · 2018
    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

7 authors at 1 institution in 2 countries.

A KleijnDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
J J KloezemanDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
R K BalversDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
M van der KaaijDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
C M F DirvenDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
S LeenstraDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands; Department of Neurosurgery, St. Elisabeth Hospital, 5022 GC Tilburg, Netherlands.
M L M LamfersDepartment of Neurosurgery, Brain Tumor Center, Erasmus MC, 3015 CE Rotterdam, Netherlands.
Erasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum-free culture methods for patient-derived primary glioma cultures, selecting for glioma stem-like cells (GSCs), are becoming the gold standard in neurooncology research. These GSCs can be implemented in drug screens to detect patient-specific responses, potentially bridging the translational gap to personalized medicine. Since numerous compounds are available, a rapid and reliable readout for drug efficacies is required. This can be done using approaches that measure viability, confluency, cytotoxicity, or apoptosis. To determine which assay is best suitable for drug screening, 10 different assays were systematically tested on established glioma cell lines and validated on a panel of GSCs. General applicability was assessed using distinct treatment modalities, being temozolomide, radiation, rapamycin, and the oncolytic adenovirus Delta24-RGD. The apoptosis and cytotoxicity assays did not unequivocally detect responses and were excluded from further testing. The NADH- and ATP-based viability assays revealed comparable readout for all treatments; however, the latter had smaller standard deviations and direct readout. Importantly, drugs that interfere with cell metabolism require alternative techniques such as confluency monitoring to accurately measure treatment effects. Taken together, our data suggest that the combination of ATP luminescence assays with confluency monitoring provides the most specific and reproducible readout for drug screening on primary GSCs.

Identifiers

PMID27274737
PMCPMC4871979
OpenAlexW2345613754

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.