Evidence map›Paper›PMID 33613198›Full record

ReviewFrontiers in cellular neuroscience2021

Organoid Models of Glioblastoma and Their Role in Drug Discovery.

Matthew J Rybin, Michael E Ivan, Nagi G Ayad, Zane Zeier

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 76 citations in OpenAlex.

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  20. Harnessing Organoid Platforms for Nanoparticle Drug Development.Drug design, development and therapy · 2025
    Review
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

4 authors at 1 institution in 1 country.

Matthew J RybinDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Michael E IvanSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States.
Nagi G AyadCenter for Therapeutic Innovation, University of Miami Miller School of Medicine, Miami, FL, United States.
Zane ZeierDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
University of Miami · US

Funding

Epigenetic pathways and cell cycle exitR01NS118023 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI AYAD, NAGI G · 2020 to 2024
$1.8M
Epigenetic and Kinase Pathway Interactions in MedulloblastomaR56NS102590 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI AYAD, NAGI G · 2017 to 2017
$384k
NINDS NIH HHS R01 NS118023NINDS NIH HHS R56 NS102590
6 · The paper itself

Abstract

Glioblastoma (GBM) is a devastating adult brain cancer with high rates of recurrence and treatment resistance. Cellular heterogeneity and extensive invasion of surrounding brain tissues are characteristic features of GBM that contribute to its intractability. Current GBM model systems do not recapitulate some of the complex features of GBM and have not produced sufficiently-effective treatments. This has cast doubt on the effectiveness of current GBM models and drug discovery paradigms. In search of alternative pre-clinical GBM models, various 3D organoid-based GBM model systems have been developed using human cells. The scalability of these systems and potential to more accurately model characteristic features of GBM, provide promising new avenues for pre-clinical GBM research and drug discovery efforts. Here, we review the current suite of organoid-GBM models, their individual strengths and weaknesses, and discuss their future applications with an emphasis on compound screening.

Indexed as

brain organoidscompound screeningdrug discoveryglioblastomaorganoid-GBM modeling

Identifiers

PMID33613198
PMCPMC7892608
OpenAlexW3129080706

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.