Evidence map›Paper›PMID 41577992›Full record

ArticleCommunications biology2026

Glioblastoma stem cells show transcriptionally correlated spatial organization.

Shamini Ayyadhury, Patty Sachamitr, Michelle M Kushida, Nicole I Park, Fiona J Coutinho, Owen Whitley, Panagiotis Prinos, Cheryl H Arrowsmith, Peter B Dirks, Trevor J Pugh and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Shamini AyyadhuryThe Donnelly Centre, University of Toronto, Toronto, Canada. shaminiad@gmail.com.ORCID http://orcid.org/0000-0002-8717-637X
Patty SachamitrThe Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Canada.
Michelle M KushidaThe Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Canada.
Nicole I ParkThe Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Canada.
Fiona J CoutinhoThe Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Canada.
Owen WhitleyThe Donnelly Centre, University of Toronto, Toronto, Canada.
Panagiotis PrinosStructural Genomics Consortium, University of Toronto, Toronto, Canada.ORCID http://orcid.org/0000-0001-8785-7856
Cheryl H ArrowsmithPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID http://orcid.org/0000-0002-4971-3250
Peter B DirksThe Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Canada.ORCID http://orcid.org/0000-0001-5718-6465
Trevor J PughPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada. trevor.pugh@utoronto.ca.ORCID http://orcid.org/0000-0002-8073-5888
Gary D BaderThe Donnelly Centre, University of Toronto, Toronto, Canada. gary.bader@utoronto.ca.ORCID http://orcid.org/0000-0003-0185-8861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is an aggressive brain cancer with a poor survival rate. Despite hundreds of clinical trials, there is no effective targeted therapy. Glioblastoma stem cells (GSCs) are an important GBM model system. In culture, these cells form spatial structures that share morphological aspects with their source tumors. We collected 17,000 phase-contrast images of 15 patient-derived GSC lines growing to confluence. We find that GSCs grow in characteristic multicellular patterns depending on their transcriptional state. Interpretable computer vision algorithms identified specific image features that predict transcriptional state across multiple cell confluency levels. This relationship will be useful in developing GSC screens where image features can be used to identify how GSC biology changes in response to perturbations simply by imaging cultured cells on plates.

Indexed as

Brain NeoplasmsGene Expression Regulation, NeoplasticGlioblastomaNeoplastic Stem CellsTranscription, GeneticCell Line, TumorHumans

Identifiers

PMID41577992
PMCPMC12894897

What Socratic 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 Socratic graph.