Evidence map›Paper›PMID 30127372›Full record

ArticleScientific reports2018

Image-Assisted Microvessel-on-a-Chip Platform for Studying Cancer Cell Transendothelial Migration Dynamics.

Cristina Bertulli, Magda Gerigk, Nicholas Piano, Ye Liu, Duo Zhang, Thomas Müller, Tuomas J Knowles, Yan Yan Shery Huang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Article
  6. Review
  7. Review
  8. Review
  9. On-chip perivascularLab on a chip · 2021
    Article
  10. Review
  11. Review
  12. The Cancer Microenvironment: Mechanical Challenges of the Metastatic Cascade.Frontiers in bioengineering and biotechnology · 2021
    Review
  13. Review
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  15. 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

8 authors at 1 institution in 1 country.

Cristina BertulliCavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
Magda GerigkDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Nicholas PianoDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Ye LiuDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Duo ZhangDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Thomas MüllerDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Tuomas J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Yan Yan Shery HuangDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK. yysh2@cam.ac.uk.
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the push to reduce in vivo approaches, the demand for microphysiological models that recapitulate the in vivo settings in vitro is dramatically increasing. Here, we present an extracellular matrix-integrated microfluidic chip with a rounded microvessel of ~100 µm in diameter. Our system displays favorable characteristics for broad user adaptation: simplified procedure for vessel creation, minimised use of reagents and cells, and the ability to couple live-cell imaging and image analysis to study dynamics of cell-microenvironment interactions in 3D. Using this platform, the dynamic process of single breast cancer cells (LM2-4175) exiting the vessel lumen into the surrounding extracellular matrix was tracked. Here, we show that the presence of endothelial lining significantly reduced the cancer exit events over the 15-hour imaging period: there were either no cancer cells exiting, or the fraction of spontaneous exits was positively correlated with the number of cancer cells in proximity to the endothelial barrier. The capability to map the z-position of individual cancer cells within a 3D vessel lumen enabled us to observe cancer cell transmigration 'hot spot' dynamically. We also suggest the variations in the microvessel qualities may lead to the two distinct types of cancer transmigration behaviour. Our findings provide a tractable in vitro model applicable to other areas of microvascular research.

Indexed as

Breast NeoplasmsCell Line, TumorEndothelial CellsExtracellular MatrixFemaleHumansHuman Umbilical Vein Endothelial CellsMicrofluidicsMicrovesselsTransendothelial and Transepithelial MigrationTumor Microenvironment

Identifiers

PMID30127372
PMCPMC6102203
OpenAlexW2885613468

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.