Evidence map›Paper›PMID 33262470›Full record

ReviewCell death and differentiation2021

Trends and challenges in modeling glioma using 3D human brain organoids.

Aruljothi Mariappan, Gladiola Goranci-Buzhala, Lucia Ricci-Vitiani, Roberto Pallini, Jay Gopalakrishnan

Abstract readReview
In one paragraph

Review in Cell death and differentiation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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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

5 authors.

Aruljothi Mariappan *Institute of Human Genetics, University Hospital Düsseldorf, Heinrich-Heine-Universität, Universitätsstr. 1, 40225, Düsseldorf, Germany.
Gladiola Goranci-Buzhala *Institute of Human Genetics, University Hospital Düsseldorf, Heinrich-Heine-Universität, Universitätsstr. 1, 40225, Düsseldorf, Germany.
Lucia Ricci-VitianiDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.
Roberto PalliniDepatment of Neuroscience, Fondazione Policlinico Universitario A. Gemelli, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Jay GopalakrishnanInstitute of Human Genetics, University Hospital Düsseldorf, Heinrich-Heine-Universität, Universitätsstr. 1, 40225, Düsseldorf, Germany. jay.gopalakrishnan@hhu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain organoids derived from pluripotent cells are a new class of three-dimensional tissue systems that recapitulates several neural epithelial aspects. Brain organoids have already helped efficient modeling of crucial elements of brain development and disorders. Brain organoids' suitability in modeling glioma has started to emerge, offering another usefulness of brain organoids in disease modeling. Although the current state-of-the organoids mostly reflect the immature state of the brain, with their vast cell diversity, human brain-like cytoarchitecture, feasibility in culturing, handling, imaging, and tractability can offer enormous potential in reflecting the glioma invasion, integration, and interaction with different neuronal cell types. Here, we summarize the current trend of employing brain organoids in glioma modeling and discuss the immediate challenges. Solving them might lay a foundation for using brain organoids as a pre-clinical 3D substrate to dissect the glioma invasion mechanisms in detail.

Indexed as

Models, BiologicalAnimalsBrainCell Culture Techniques, Three DimensionalGliomaHumansNeoplastic Stem CellsOrganoids

Identifiers

PMID33262470
PMCPMC7707134

What OpenQuestion holds

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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.