Evidence map›Paper›PMID 32457362›Full record

ArticleBritish journal of cancer2020

Regorafenib is effective against neuroblastoma in vitro and in vivo and inhibits the RAS/MAPK, PI3K/Akt/mTOR and Fos/Jun pathways.

Divya Subramonian, Nikki Phanhthilath, Hannah Rinehardt, Sean Flynn, Yuchen Huo, Jing Zhang, Karen Messer, Qianxing Mo, Shixia Huang, Jacqueline Lesperance and 1 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  13. Targeting AllJCO precision oncology · 2024
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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

11 authors at 2 institutions in 1 country.

Divya Subramonian *Department of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Nikki Phanhthilath *Department of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Hannah RinehardtDepartment of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Sean FlynnDepartment of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Yuchen HuoDepartment of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Jing ZhangDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Karen MesserDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Qianxing MoDepartment of Medicine, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Shixia HuangDepartment of Medicine, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Jacqueline LesperanceDepartment of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA.
Peter E ZageDepartment of Pediatrics, Division of Hematology-Oncology, University of California San Diego, La Jolla, CA, USA. pzage@ucsd.edu.
University of California San Diego · USBaylor College of Medicine · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

backgroundRegorafenib is an inhibitor of multiple kinases with aberrant expression and activity in neuroblastoma tumours that have potential roles in neuroblastoma pathogenesis.

methodsWe evaluated neuroblastoma cells treated with regorafenib for cell viability and confluence, and analysed treated cells for apoptosis and cell cycle progression. We evaluated the efficacy of regorafenib in vivo using an orthotopic xenograft model. We evaluated regorafenib-mediated inhibition of kinase targets and performed reverse-phase protein array (RPPA) analysis of neuroblastoma cells treated with regorafenib. Lastly, we evaluated the efficacy and effects of the combination of regorafenib and 13-cis-retinoic acid on intracellular signalling.

resultsRegorafenib treatment resulted in reduced neuroblastoma cell viability and confluence, with both induction of apoptosis and of cell cycle arrest. Regorafenib treatment inhibits known receptor tyrosine kinase targets RET and PDGFRβ and intracellular signalling through the RAS/MAPK, PI3K/Akt/mTOR and Fos/Jun pathways. Regorafenib is effective against neuroblastoma tumours in vivo, and the combination of regorafenib and 13-cis-retinoic acid demonstrates enhanced efficacy compared with regorafenib alone.

conclusionsThe effects of regorafenib on multiple intracellular signalling pathways and the potential additional efficacy when combined with 13-cis-retinoic acid represent opportunities to develop treatment regimens incorporating regorafenib for children with neuroblastoma.

Indexed as

AnimalsCell CycleCell Line, TumorCell ProliferationCell SurvivalDrug SynergismFemaleGene Expression Regulation, NeoplasticHumansIsotretinoinMiceMitogen-Activated Protein KinasesNeuroblastomaPhenylurea CompoundsPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsFOS protein, humanIsotretinoinMitogen-Activated Protein KinasesMTOR protein, humanPhenylurea CompoundsPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-fosProto-Oncogene Proteins c-junPyridinesras ProteinsregorafenibTOR Serine-Threonine Kinases

Identifiers

PMID32457362
PMCPMC7434894
OpenAlexW3029014793

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.