Evidence map›Paper›PMID 33969368›Full record

ArticleLab on a chip2021

On-chip perivascular

Magda Gerigk, Harry Bulstrode, HaoTian Harvey Shi, Felix Tönisen, Camilla Cerutti, Gillian Morrison, David Rowitch, Yan Yan Shery Huang

Open access · hybridAbstract read
In one paragraph

Article in Lab on a chip, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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

8 authors at 5 institutions in 5 countries.

Magda GerigkDepartment of Engineering, University of Cambridge, UK. yysh2@cam.ac.uk and The Nanoscience Centre, University of Cambridge, UK.
Harry BulstrodeDepartment of Clinical Neuroscience, University of Cambridge, UK.
HaoTian Harvey ShiDepartment of Mechanical & Industrial Engineering, University of Toronto, Canada and Department of Engineering, University of Cambridge, UK. yysh2@cam.ac.uk.ORCID 0000-0003-2477-9795
Felix TönisenDepartment of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboudumc, Netherlands and Department of Engineering, University of Cambridge, UK. yysh2@cam.ac.uk.ORCID 0000-0002-4224-9344
Camilla CeruttiRandall Centre of Cell & Molecular Biophysics, King's College London, UK.
Gillian MorrisonCentre for Regenerative Medicine, University of Edinburgh, UK.
David RowitchDepartment of Paediatrics, University of Cambridge, UK.
Yan Yan Shery HuangDepartment of Engineering, University of Cambridge, UK. yysh2@cam.ac.uk and The Nanoscience Centre, University of Cambridge, UK.ORCID 0000-0003-2619-730X
University of Cambridge · GBKing's College London · GBMRC Centre for Regenerative Medicine · GBRadboud University Nijmegen · NLUniversity of Toronto · CA

Funding

Cancer Research UKDepartment of Health
6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most common and the most aggressive type of primary brain malignancy. Glioblastoma stem-like cells (GSCs) can migrate in vascular niches within or away from the tumour mass, increasing tumour resistance to treatments and contributing to relapses. To study individual GSC migration and their interactions with the perivasculature of the tumour microenvironment, there is a need to develop a human organotypic in vitro model. Herein, we demonstrated a perivascular niche-on-a-chip, in a serum-free condition with gravity-driven flow, that supported the stemness of patient-derived GSCs and foetal neural stem cells grown in a three-dimensional environment (3D). Endothelial cells from three organ origins, (i) human brain microvascular endothelial cells (hCMEC/D3), (ii) human umbilical vein endothelial cells (HUVECs) and, (iii) human lung microvascular endothelial cells (HMVEC-L) formed rounded microvessels within the extracellular-matrix integrated microfluidic chip. By optimising cell extraction protocols, systematic studies were performed to evaluate the effects of serum-free media, 3D cell cultures, and the application of gravity-driven flow on the characteristics of endothelial cells and their co-culture with GSCs. Our results showed the maintenance of adherent and tight junction markers of hCMEC/D3 in the serum-free culture and that gravity-driven flow was essential to support adequate viability of both the microvessel and the GSCs in co-culture (>80% viability at day 3). Endpoint biological assays showed upregulation of neovascularization-related genes (e.g., angiopoietins, vascular endothelial growth factor receptors) in endothelial cells co-cultured with GSCs in contrast to the neural stem cell reference that showed insignificant changes. The on-chip platform further permitted live-cell imaging of GSC - microvessel interaction, enabling quantitative analysis of GSC polarization and migration. Overall, our comparative genotypic (i.e. qPCR) and phenotypic (i.e. vessel permeability and GSC migration) studies showed that organotypic (brain cancer cells-brain endothelial microvessel) interactions differed from those within non-tissue specific vascular niches of human origin. The development and optimization of this on-chip perivascular niche, in a serum-free flowable culture, could provide the next level of complexity of an in vitro system to study the influence of glioma stem cells on brain endothelium.

Indexed as

Brain NeoplasmsGlioblastomaGliomaCell Line, TumorEndothelial CellsHumansNeoplastic Stem CellsTumor MicroenvironmentVascular Endothelial Growth Factor AVascular Endothelial Growth Factor A

Identifiers

PMID33969368
PMCPMC8204159
OpenAlexW3158736312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.