Evidence map›Paper›PMID 30242200›Full record

ArticleScientific reports2018

Faithful animal modelling of human glioma by using primary initiating cells and its implications for radiosensitization therapy [ARRIVE 1].

Guido Frosina, Jean Louis Ravetti, Renzo Corvò, Mauro Fella, Maria Luisa Garrè, Fabrizio Levrero, Diana Marcello, Daniela Marubbi, Giovanni Morana, Michele Mussap and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Guido FrosinaMutagenesis & Cancer Prevention, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy. guido.frosina@hsanmartino.it.ORCID 0000-0002-6717-5097
Jean Louis RavettiPathological Anatomy and Histology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Renzo CorvòRadiation Oncology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Mauro FellaLaboratory Medicine, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Maria Luisa GarrèIRCCS Istituto Giannina Gaslini, 16147, Genova, Italy.
Fabrizio LevreroMedical Physics, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Diana MarcelloMutagenesis & Cancer Prevention, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Daniela MarubbiRegenerative Medicine, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Giovanni MoranaIRCCS Istituto Giannina Gaslini, 16147, Genova, Italy.
Michele MussapLaboratory Medicine, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Carlo Emanuele NeumaierDiagnostic Imaging and Interventional Oncology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Aldo ProfumoBiopolymers and Proteomics, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Alessandro RasoIRCCS Istituto Giannina Gaslini, 16147, Genova, Italy.
Francesca RosaDiagnostic Imaging and Interventional Oncology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Stefano VaggeRadiation Oncology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Donatella VecchioMutagenesis & Cancer Prevention, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Antonio VerricoIRCCS Istituto Giannina Gaslini, 16147, Genova, Italy.
Gianluigi ZonaNeurosurgery and Neurotraumatology, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.
Antonio DagaRegenerative Medicine, IRCCS Ospedale Policlinico San Martino, 16132, Genova, Italy.ORCID 0000-0001-5845-8530
Ospedale Policlinico San Martino · ITIstituto Giannina Gaslini · IT

Funding

Compagnia di San Paolo 2015.0643
6 · The paper itself

Abstract

It has been reported that the ATM kinase inhibitor KU60019 preferentially radiosensitizes orthotopic high grade gliomas (HGG) driven by established U87 and U1242 cell lines bearing specific TP53 mutations. We wished to determine whether those results could be extended to tumors driven by primary glioma initiating cells (GIC) that closely mimic clinical tumors. Orthotopic HGG were developed in immunodeficient non-obese diabetic-severe combined immunodeficient (NOD-SCID) mice by intracranial injection of primary GIC isolated from the adult glioblastoma COMI (acronym of patient's name) and the pediatric anaplastic astrocytoma 239/12. Similar to the clinical tumors of origin, the orthotopic tumors COMI and 239/12 displayed different growth properties with a voluminous expansive lesion that exerted considerable mass effect on the adjacent structures and an infiltrating, gliomatosis-like growth pattern with limited compressive attitude, respectively. Significant elongations of median animal survival bearing the adult COMI tumor was observed after one KU60019 convection enhanced delivery followed by total 7.5 Gy of ionizing radiation delivered in fifteen 0.5 Gy fractions, as compared to animals treated with vehicle + ionizing radiation (105 vs 89 days; ratio: 0.847; 95% CI of ratio 0.4969 to 1.198; P:0.0417) [ARRIVE 16]. Similarly, a trend to increased median survival was observed with the radiosensitized pediatric tumor 239/12 (186 vs 167 days; ratio: 0.8978; 95% CI of ratio: 0.5352 to 1.260; P: 0.0891) [ARRIVE 16]. Our results indicate that radiosensitization by KU60019 is effective towards different orthotopic gliomas that faithfully mimic the clinical tumors and that multiple GIC-based animal models may be essential to develop novel therapeutic protocols for HGG transferable to the clinics.

Identifiers

PMID30242200
PMCPMC6154973
OpenAlexW2889731832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.