Evidence map›Paper›PMID 32297954›Full record

ArticleNeuro-oncology2020

Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics.

Teresa G Krieger, Stephan M Tirier, Jeongbin Park, Katharina Jechow, Tanja Eisemann, Heike Peterziel, Peter Angel, Roland Eils, Christian Conrad

Abstract read
In one paragraph

Article in Neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
–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

112 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Mesoscale maladaptation in disease organoids.Disease models & mechanisms · 2026
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  18. The GPCR Connection: Linking Alzheimer's Disease and Glioblastoma.Journal of cellular and molecular medicine · 2026
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52 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

9 authors.

Teresa G KriegerDigital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.
Stephan M TirierDivision of Chromatin Networks, German Cancer Research Center, Heidelberg, Germany.
Jeongbin ParkDigital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.
Katharina JechowDigital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.
Tanja EisemannDivision of Signal Transduction and Growth Control, DKFZ/ZMBH Alliance, Heidelberg, Germany.
Heike PeterzielDivision of Signal Transduction and Growth Control, DKFZ/ZMBH Alliance, Heidelberg, Germany.
Peter AngelDivision of Signal Transduction and Growth Control, DKFZ/ZMBH Alliance, Heidelberg, Germany.
Roland EilsDigital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.
Christian ConradDigital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) consists of devastating neoplasms with high invasive capacity, which have been difficult to study in vitro in a human-derived model system. Therapeutic progress is also limited by cellular heterogeneity within and between tumors, among other factors such as therapy resistance. To address these challenges, we present an experimental model using human cerebral organoids as a scaffold for patient-derived GBM cell invasion.

methodsThis study combined tissue clearing and confocal microscopy with single-cell RNA sequencing of GBM cells before and after co-culture with organoid cells.

resultsWe show that tumor cells within organoids extend a network of long microtubes, recapitulating the in vivo behavior of GBM. Transcriptional changes implicated in the invasion process are coherent across patient samples, indicating that GBM cells reactively upregulate genes required for their dispersion. Potential interactions between GBM and organoid cells identified by an in silico receptor-ligand pairing screen suggest functional therapeutic targets.

conclusionsTaken together, our model has proven useful for studying GBM invasion and transcriptional heterogeneity in vitro, with applications for both pharmacological screens and patient-specific treatment selection on a time scale amenable to clinical practice.

Indexed as

Brain NeoplasmsGlioblastomaOrganoidsCell Line, TumorHumansNeoplasm InvasivenessTranscriptomeTumor Cells, Culturedglioblastomaorganoidssingle-cell RNA sequencingtumor cell heterogeneitytumor invasion

Identifiers

PMID32297954
PMCPMC7594554

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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.