Evidence map›Paper›PMID 29445035›Full record

ArticleJournal of the Royal Society, Interface2018

Comparative dynamics of microglial and glioma cell motility at the infiltrative margin of brain tumours.

Joseph Juliano, Orlando Gil, Andrea Hawkins-Daarud, Sonal Noticewala, Russell C Rockne, Jill Gallaher, Susan Christine Massey, Peter A Sims, Alexander R A Anderson, Kristin R Swanson and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

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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 6 institutions in 1 country.

Joseph JulianoKeck School of Medicine, University of Southern California, Los Angeles, CA, USA swanson.kristin@mayo.edu.ORCID 0000-0003-2527-0667
Orlando GilDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.
Andrea Hawkins-DaarudDepartment of Neurological Surgery, Mayo Clinic, Phoenix, AZ, USA.
Sonal NoticewalaUniversity of California San Diego School of Medicine, La Jolla, CA, USA.
Russell C RockneDivision of Mathematical Oncology, City of Hope National Medical Center, Duarte, CA, USA.
Jill GallaherIntegrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0001-9831-6676
Susan Christine MasseyDepartment of Neurological Surgery, Mayo Clinic, Phoenix, AZ, USA.ORCID 0000-0002-4680-7796
Peter A SimsDepartment of Systems Biology, Columbia University Medical Center, New York, NY, USA.
Alexander R A AndersonIntegrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Kristin R SwansonDepartment of Neurological Surgery, Mayo Clinic, Phoenix, AZ, USA.
Peter CanollDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · USMayo Clinic Hospital · USMoffitt Cancer Center · USCity Of Hope National Medical Center · USUniversity of California San Diego · USUniversity of Southern California · US

Funding

Targeting Kif11 to Treat Glioblastoma Invasion and ProliferationR01NS073610 · NINDS · MAYO CLINIC JACKSONVILLE · PI CANOLL, PETER, ELMQUIST, WILLIAM · 2012 to 2021
$4.3M
NINDS NIH HHS R01 NS073610
6 · The paper itself

Abstract

Microglia are a major cellular component of gliomas, and abundant in the centre of the tumour and at the infiltrative margins. While glioma is a notoriously infiltrative disease, the dynamics of microglia and glioma migratory patterns have not been well characterized. To investigate the migratory behaviour of microglia and glioma cells at the infiltrative edge, we performed two-colour time-lapse fluorescence microscopy of brain slices generated from a platelet-derived growth factor-B (PDGFB)-driven rat model of glioma, in which glioma cells and microglia were each labelled with one of two different fluorescent markers. We used mathematical techniques to analyse glioma cells and microglia motility with both single cell tracking and particle image velocimetry (PIV). Our results show microglia motility is strongly correlated with the presence of glioma, while the correlation of the speeds of glioma cells and microglia was variable and weak. Additionally, we showed that microglia and glioma cells exhibit different types of diffusive migratory behaviour. Microglia movement fit a simple random walk, while glioma cell movement fits a super diffusion pattern. These results show that glioma cells stimulate microglia motility at the infiltrative margins, creating a correlation between the spatial distribution of glioma cells and the pattern of microglia motility.

Indexed as

Cell MovementAnimalsBrain NeoplasmsGliomaHumansMicrogliaMicroscopy, ConfocalMicroscopy, FluorescenceRatsanomalous diffusionglioblastomaparticle image velocimetryPDGF rat modeltime lapse microscopy

Identifiers

PMID29445035
PMCPMC5832721
OpenAlexW2787560195

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.