Evidence map›Paper›PMID 35240798›Full record

ArticleMathematical biosciences and engineering : MBE2022

Mathematical modeling of therapeutic neural stem cell migration in mouse brain with and without brain tumors.

Justin Gomez, Nathanael Holmes, Austin Hansen, Vikram Adhikarla, Margarita Gutova, Russell C Rockne, Heyrim Cho

Open access · goldAbstract read
In one paragraph

Article in Mathematical biosciences and engineering : MBE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. A Tale of Two: When Neural Stem Cells Encounter Hypoxia.Cellular and molecular neurobiology · 2023
    Review
  2. 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

7 authors at 2 institutions in 1 country.

Justin GomezDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
Nathanael HolmesDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
Austin HansenDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
Vikram AdhikarlaDivision of Mathematical Oncology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Margarita GutovaDepartment of Stem Cell Biology and Regenerative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Russell C RockneDivision of Mathematical Oncology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Heyrim ChoDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
City Of Hope National Medical Center · USUniversity of California, Riverside · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
Development and validation of a computational prediction model for exogenous neural stem cell migration to sites of brain tumorsR03CA216142 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GUTOVA, MARGARITA, ROCKNE, RUSSELL CHRISTIAN · 2018 to 2019
$173k
NCI NIH HHS P30 CA033572NCI NIH HHS R03 CA216142
6 · The paper itself

Abstract

Neural stem cells (NSCs) offer a potential solution to treating brain tumors. This is because NSCs can circumvent the blood-brain barrier and migrate to areas of damage in the central nervous system, including tumors, stroke, and wound injuries. However, for successful clinical application of NSC treatment, a sufficient number of viable cells must reach the diseased or damaged area(s) in the brain, and evidence suggests that it may be affected by the paths the NSCs take through the brain, as well as the locations of tumors. To study the NSC migration in brain, we develop a mathematical model of therapeutic NSC migration towards brain tumor, that provides a low cost platform to investigate NSC treatment efficacy. Our model is an extension of the model developed in Rockne et al. (PLoS ONE 13, e0199967, 2018) that considers NSC migration in non-tumor bearing naive mouse brain. Here we modify the model in Rockne et al. in three ways: (i) we consider three-dimensional mouse brain geometry, (ii) we add chemotaxis to model the tumor-tropic nature of NSCs into tumor sites, and (iii) we model stochasticity of migration speed and chemosensitivity. The proposed model is used to study migration patterns of NSCs to sites of tumors for different injection strategies, in particular, intranasal and intracerebral delivery. We observe that intracerebral injection results in more NSCs arriving at the tumor site(s), but the relative fraction of NSCs depends on the location of injection relative to the target site(s). On the other hand, intranasal injection results in fewer NSCs at the tumor site, but yields a more even distribution of NSCs within and around the target tumor site(s).

Indexed as

BrainBrain NeoplasmsGliomaModels, NeurologicalNeural Stem CellsAnimalsCell MovementMiceagent based modelinggliomaintranasal drug administrationLM-NSC008mathematical oncologyneural stem cell therapy

Identifiers

PMID35240798
PMCPMC8958926
OpenAlexW4205590151

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.