Evidence map›Paper›PMID 38370799›Full record

ArticlebioRxiv : the preprint server for biology2024

A Simple and Scalable Zebrafish Model of Sonic Hedgehog Medulloblastoma.

Mattie J Casey, Priya P Chan, Qing Li, Cicely A Jette, Missia Kohler, Benjamin R Myers, Rodney A Stewart

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Mattie J CaseyDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Priya P ChanDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA.
Qing LiDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Cicely A JetteDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Missia KohlerDepartment of Anatomic Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Benjamin R MyersDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Rodney A StewartDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0003-1220-1830
University of Utah · USPrimary Children's Hospital · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Developmental Mechanisms Driving Cell Invasion in Pediatric Brain CancersR01NS106527 · NINDS · UNIVERSITY OF UTAH · PI STEWART, RODNEY A. · 2018 to 2022
$1.7M
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
NCI NIH HHS P30 CA042014NIH HHS S10 OD021644NINDS NIH HHS R01 NS106527
6 · The paper itself

Abstract

Medulloblastoma (MB) is the most common malignant brain tumor in children and is stratified into three major subgroups. The Sonic hedgehog (SHH) subgroup represents ~30% of all MB cases and has significant survival disparity depending upon TP53 status. Here, we describe the first zebrafish model of SHH MB using CRISPR to mutate

Indexed as

CRISPRGRK2GRK3midbrain-hindbrain boundaryPediatric brain tumorsPTCH1SHH medulloblastomaTP53valvula cerebellizebrafish

Identifiers

PMID38370799
PMCPMC10871209
OpenAlexW4391708273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.