Cited by 308Cancer Cells and MetastasisCellular Mechanics and Interactions3D Printing in Biomedical Research

Mechanisms of tumor cell extravasation in an in vitro microvascular network platform

Open access
Chen, Michelle B., Whisler, Jordan A., Jeon, Jessie S., Kamm, Roger D.·2013·Integrative Biology

Abstract

A deeper understanding of the mechanisms of tumor cell extravasation is essential in creating therapies that target this crucial step in cancer metastasis. Here, we use a microfluidic platform to study tumor cell extravasation from in vitro microvascular networks formed via vasculogenesis. We demonstrate tight endothelial cell-cell junctions, basement membrane deposition and physiological values of vessel permeability. Employing our assay, we demonstrate impaired endothelial barrier function and increased extravasation efficiency with inflammatory cytokine stimulation, as well as positive correlations between the metastatic potentials of MDA-MB-231, HT-1080, MCF-10A and their extravasation capabilities. High-resolution time-lapse microscopy reveals the highly dynamic nature of extravasation events, beginning with thin tumor cell protrusions across the endothelium followed by extrusion of the remainder of the cell body through the formation of small (~1 μm) openings in the endothelial barrier which grows in size (~8 μm) to allow for nuclear transmigration. No disruption to endothelial cell-cell junctions is discernible at 60×, or by changes in local barrier function after completion of transmigration. Tumor transendothelial migration efficiency is significantly higher in trapped cells compared to non-trapped adhered cells, and in cell clusters versus single tumor cells.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1039/c3ib40149a

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Microvascular networks are a dramatic improvement over previous 2D extravasation models such as Boyden Transwell-chambers because transwells do not allow dynamic high-resolution single-cell imaging and microvascular networks better replicate 3D vessel architecture and endothelial barrier function.

    “These µVNs represent a dramatic improvement over previous 2D extravasation models such as Boyden Transwell-chambers that consist of ECs seeded onto a permeable membrane inserted in a well-plate, since transwells do not allow for dynamic high resolution single cell imaging due to the long distance of the insert from the objective.”

    From Microfluidics: A New Tool for Modeling Cancer–Immune Interactions (2016) · cites this paper as [21]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Recent studies increasingly use microvascular networks whose permeability, architecture and diameters are more similar to in vivo microvascular beds.

    “Recent studies are increasingly employing microvascular networks (µVNs)[21, 23, 24], where the permeability, architecture and diameters of vessels are more similar to those found in in vivo microvascular beds (Figure 2A) [21].”

    From Microfluidics: A New Tool for Modeling Cancer–Immune Interactions (2016) · cites this paper as [21]

    The Introduction describes recent development of perfusable 3D microvascular networks with a more physiologically relevant configuration, and the Discussion says their permeability is comparable to that of in vivo venules. The Results describe self-organized vessels with 8–96 μm lumens, but our copy does not compare those diameters with in vivo microvascular beds. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Self-assembly models for extravasation have been developed and used extensively.

    “Self-assembly models for extravasation have been developed and used extensively (Figure 3I) [83,84].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. [39]Zijlstra A Mellor R Panzarella G Aimes RT Hooper JD Marchenko ND Quigley JP Cancer Res 2002 62 7083 7092 12460930
  2. [50]Crissman JD Hatfield JS Menter DG Sloane B Honn KV Cancer Res 1988 48 4065 4072 3383198
  3. [51]Koop S Khokha R Schmidt EE MacDonald IC Morris VL Chambers AF Groom AC Cancer Res 1994 54 4791 4797 8062280
  4. [52]EJ Philadelphia W. B. Saunders 1928

Cited by

Sorted by citations

Authors
Chen, M. B., Whisler, J. A., Jeon, J. S., & Kamm, R. D.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Kamm, Roger D.
Venue
Integrative Biology
Published
2013
Volume
5
Issue
10
Pages
1262
ISSN
  • 1757-9694 (ISSN-L)
  • 1757-9708
OpenAlex
W1858855509
Cited by
308
References
53
Citations by year
2026: 16 · 2025: 19 · 2024: 20 · 2023: 21 · 2022: 28 · 2021: 28 · 2020: 29 · 2019: 29 · 2018: 32 · 2017: 17 · 2016: 29 · 2015: 18 · 2014: 17 · 2013: 4 · 2012: 1
FWCI
12.13
Type
journal article
Language
en
Open access
Locations
  • Integrative Biology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
  • PMC
Funders
  • National Science Foundation
  • Emergent Behaviors of Integrated Cellular Systems
  • National Cancer Institute (R33CA174550)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
Keywords
tumor cell extravasation, metastasis, endothelial barrier function, endothelial junctions, basement membrane deposition, vascular permeability, inflammatory cytokines, vasculogenesis, transendothelial migration, MDA-MB-231 cells, MCF10A cells, cell clusters, time-lapse microscopy
MeSH terms
Breast Neoplasms, Capillary Permeability, Cell Communication, Equipment Design, Humans, Intercellular Junctions, Neovascularization, Pathologic, Equipment Failure Analysis, Cell Line, Tumor, Microfluidic Analytical Techniques, Microvessels

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review