Evidence map›Paper›PMID 40437228›Full record

ArticleCommunications medicine2025

Computational and biological modeling of IGF1R inhibition for multifocal medulloblastoma.

Alyssa G Almer, Samuel V Rasmussen, Dina Kats, Matthew N Svalina, Bonnie L Cole, Mohammadreza Khani, Sonja Chen, Samuel H Cheshier, Bryn A Martin, Noah E Berlow and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Alyssa G AlmerChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA.
Samuel V RasmussenChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA. samuel@cc-tdi.org.ORCID http://orcid.org/0009-0000-6103-4448
Dina KatsChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA.
Matthew N SvalinaChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA.
Bonnie L ColeDepartment of Pathology, Seattle Children's Hospital, Seattle, WA, USA.
Mohammadreza KhaniDepartment of Biological Engineering, University of Idaho, Moscow, ID, USA.
Sonja ChenDepartment of Pathology, Nationwide Children's Hospital, Columbus, OH, USA.ORCID http://orcid.org/0000-0001-6174-8723
Samuel H CheshierDivision of Pediatric Neurosurgery, Department of Neurosurgery, Huntsman Cancer Institute, Intermountain Primary Children's Hospital, University of Utah, Salt Lake City, UT, USA.
Bryn A MartinDepartment of Biological Engineering, University of Idaho, Moscow, ID, USA.ORCID http://orcid.org/0000-0003-1234-7880
Noah E BerlowChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA.ORCID http://orcid.org/0000-0001-8666-3152
Charles KellerChildren's Cancer Therapy Development Institute, Hillsboro, OR, USA. charles@cc-tdi.org.ORCID http://orcid.org/0000-0003-2505-7487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptomeningeal metastasis in medulloblastoma poses challenges for effective treatments due to the blood-brain barrier (BBB), which may be addressed through intrathecal or intraventricular drug delivery. However, the lack of pharmacokinetic modeling for pathological cerebrospinal fluid (CSF) geometries has limited the ability to predict effective intrathecal and intraventricular drug exposure.

methodsA patient-specific computational fluid dynamics "in silico" trial was conducted to simulate CSF movement to examine the tumor microenvironment in terms of drug-target exposure over time following intraventricular delivery via Omaya Reservoir. Simultaneously, we conducted cellular adhesion experiments to test the therapeutic potential of IGF1R inhibition on metastasis under patient-specific flow conditions generated by computational analysis.

resultsA 3-dimensional computational fluid dynamics (CFD) model based on patient-specific conditions was obtained to predict an efficacious drug concentration, providing guidance for therapeutic drug exposure at targeted sites. Microfluidic experiments for IGF1R inhibition of cellular adhesion showed the potential for reduced attachment of medulloblastoma to leptomeningeal cells to prevent metastasis.

conclusionsThis study offers insights from patient-specific in silico trials for the precision delivery of small-molecule drugs for the treatment of central nervous system (CNS) malignancies.

Identifiers

PMID40437228
PMCPMC12119998

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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.