Evidence map›Paper›PMID 33258962›Full record

ArticleNeuro-oncology2021

Patient-derived orthotopic xenograft models of medulloblastoma lack a functional blood-brain barrier.

Laura A Genovesi, Simon Puttick, Amanda Millar, Marija Kojic, Pengxiang Ji, Anne K Lagendijk, Caterina Brighi, Claudine S Bonder, Christelle Adolphe, Brandon J Wainwright

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  8. NAR cancer · 2025
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  20. Medulloblastoma: novel insights into emerging therapeutic targets.Expert opinion on therapeutic targets · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Laura A GenovesiThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0001-6277-8422
Simon PuttickProbing Biosystems Future Science Platform, Commonwealth Scientific and Industrial Research Organization, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.ORCID 0000-0003-3909-2646
Amanda MillarThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.
Marija KojicThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.
Pengxiang JiThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.
Anne K LagendijkInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
Caterina BrighiAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, Australia.
Claudine S BonderCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, South Australia, Australia.
Christelle AdolpheThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.
Brandon J WainwrightThe University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Woolloongabba, Queensland, Australia.
Translational Research Institute · AUThe University of Queensland · AURoyal Brisbane and Women's Hospital · AUSouth Australia Pathology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNovel targeted therapies for children diagnosed with medulloblastoma (MB), the most common malignant pediatric brain tumor, are urgently required. A major hurdle in the development of effective therapies is the impaired delivery of systemic therapies to tumor cells due to a specialized endothelial blood-brain barrier (BBB). Accordingly, the integrity of the BBB is an essential consideration in any preclinical model used for assessing novel therapeutics. This study sought to assess the functional integrity of the BBB in several preclinical mouse models of MB.

methodsDynamic contrast enhancement magnetic resonance imaging (MRI) was used to evaluate blood-brain-tumor barrier (BBTB) permeability in a murine genetically engineered mouse model (GEMM) of Sonic Hedgehog (SHH) MB, patient-derived orthotopic xenograft models of MB (SHH and Gp3), and orthotopic transplantation of GEMM tumor cells, enabling a comparison of the direct effects of transplantation on the integrity of the BBTB. Immunofluorescence analysis was performed to compare the structural and subcellular features of tumor-associated vasculature in all models.

resultsContrast enhancement was observed in all transplantation models of MB. No contrast enhancement was observed in the GEMM despite significant tumor burden. Cellular analysis of BBTB integrity revealed aberrancies in all transplantation models, correlating to the varying levels of BBTB permeability observed by MRI in these models.

conclusionsThese results highlight functional differences in the integrity of the BBTB and tumor vessel phenotype between commonly utilized preclinical models of MB, with important implications for the preclinical evaluation of novel therapeutic agents for MB.

Indexed as

Cerebellar NeoplasmsMedulloblastomaAnimalsBlood-Brain BarrierCell Line, TumorChildHedgehog ProteinsHeterograftsHumansMiceHedgehog Proteinsblood-brain barriermagnetic resonance imagingmedulloblastomapatient-derived xenograft modelsvasculature

Identifiers

PMID33258962
PMCPMC8099473
OpenAlexW3107038770

What OpenQuestion holds

Textmetadata
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.