Evidence map›Paper›PMID 32472116›Full record

ArticleJournal of neuropathology and experimental neurology2020

MEK Inhibition Suppresses Growth of Atypical Teratoid/Rhabdoid Tumors.

Shubin Shahab, Jeffrey Rubens, Harpreet Kaur, Heather Sweeney, Charles G Eberhart, Eric H Raabe

Abstract read
In one paragraph

Article in Journal of neuropathology and experimental neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Shubin ShahabDivision of Pediatric Oncology, Department of Oncology.
Jeffrey RubensDivision of Pediatric Oncology, Department of Oncology.
Harpreet KaurDivision of Pediatric Oncology, Department of Oncology.
Heather SweeneyDivision of Pediatric Oncology, Department of Oncology.
Charles G EberhartSidney Kimmel Comprehensive Cancer Center.
Eric H RaabeDivision of Pediatric Oncology, Department of Oncology.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
LAB RESEARCH TRAINING IN PEDIATRIC ONCOLOGY-HEMATOLOGYT32CA060441 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN D FRIEDMAN · 1993 to 2026
$14.9M
NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA060441
6 · The paper itself

Abstract

Atypical teratoid/rhabdoid (AT/RT) tumors are the most common malignant brain tumor of infancy and have a poor prognosis. We have previously identified very high expression of LIN28A and/or LIN28B in AT/RT tumors and showed that AT/RT have corresponding increased expression of the mitogen-activated protein (MAP) kinase pathway. Binimetinib is a novel inhibitor of mitogen-activated protein kinase (MAP2K1 or MEK), and is currently in pediatric phase II clinical trials for low-grade glioma. We hypothesized that binimetinib would inhibit growth of AT/RT cells by suppressing the MAP kinase pathway. Binimetinib inhibited AT/RT growth at nanomolar concentrations. Binimetinib decreased cell proliferation and induced apoptosis in AT/RT cells and significantly reduced AT/RT tumor growth in flank xenografts. Our data suggest that MAP kinase pathway inhibition could offer a potential avenue for treating these highly aggressive tumors.

Indexed as

AnimalsBenzimidazolesBrain NeoplasmsCell Line, TumorCell ProliferationHumansMAP Kinase Signaling SystemMiceRhabdoid TumorTeratomaXenograft Model Antitumor AssaysBenzimidazolesbinimetinibINI1Malignant rhabdoid tumorMEK162Pediatric brain tumorRAS

Identifiers

PMID32472116
PMCPMC7821707

What OpenQuestion holds

Textmetadata
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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.