Evidence map›Paper›PMID 29548546›Full record

ArticleBiomaterials2019

The effects of monocytes on tumor cell extravasation in a 3D vascularized microfluidic model.

A Boussommier-Calleja, Y Atiyas, K Haase, M Headley, C Lewis, R D Kamm

Abstract read
In one paragraph

Article in Biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Microphysiological systems for metastasis research: a stepwise approach.Cellular oncology (Dordrecht, Netherlands) · 2025
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Modelling metastasis in a dish:Pathology oncology research : POR · 2025
    Review

22 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

A Boussommier-CallejaMechanical Engineering, Massachussetts Institute of Technology, USA.
Y AtiyasBiological Engineering, Massachussetts Institute of Technology, USA.
K HaaseMechanical Engineering, Massachussetts Institute of Technology, USA.
M HeadleyDepartment of Pathology, University of California, San Francisco, CA, USA; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
C LewisDepartment of Oncology & Metabolism, University of Sheffield, UK.
R D KammMechanical Engineering, Massachussetts Institute of Technology, USA; Biological Engineering, Massachussetts Institute of Technology, USA. Electronic address: rdkamm@mit.edu.
Massachusetts Institute of Technology · USFred Hutch Cancer Center · USUniversity of Sheffield · GB

Funding

Research Supplement - Quantitative analyses of tumor cell extravasationU01CA202177 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2015 to 2020
$4.2M
Development of Physiologic Tissue Models to Assess Tumor Explant Response to Immune Checkpoint BlockadeU01CA214381 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BARBIE, DAVID A, KAMM, ROGER D · 2017 to 2021
$3.5M
Development of 3D vascularized model of Blood Brain Barrier and its application to Alzheimer disease researchR21NS105027 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2019 to 2020
$457k
NCI NIH HHS U01 CA202177NCI NIH HHS U01 CA214381NINDS NIH HHS R21 NS105027
6 · The paper itself

Abstract

Metastasis is the leading cause of cancer-related deaths. Recent developments in cancer immunotherapy have shown exciting therapeutic promise for metastatic patients. While most therapies target T cells, other immune cells, such as monocytes, hold great promise for therapeutic intervention. In our study, we provide primary evidence of direct engagement between human monocytes and tumor cells in a 3D vascularized microfluidic model. We first characterize the novel application of our model to investigate and visualize at high resolution the evolution of monocytes as they migrate from the intravascular to the extravascular micro-environment. We also demonstrate their differentiation into macrophages in our all-human model. Our model replicates physiological differences between different monocyte subsets. In particular, we report that inflammatory, but not patrolling, monocytes rely on actomyosin based motility. Finally, we exploit this platform to study the effect of monocytes, at different stages of their life cycle, on cancer cell extravasation. Our data demonstrates that monocytes can directly reduce cancer cell extravasation in a non-contact dependent manner. In contrast, we see little effect of monocytes on cancer cell extravasation once monocytes transmigrate through the vasculature and are macrophage-like. Taken together, our study brings novel insight into the role of monocytes in cancer cell extravasation, which is an important step in the metastatic cascade. These findings establish our microfluidic platform as a powerful tool to investigate the characteristics and function of monocytes and monocyte-derived macrophages in normal and diseased states. We propose that monocyte-cancer cell interactions could be targeted to potentiate the anti-metastatic effect we observe in vitro, possibly expanding the milieu of immunotherapies available to tame metastasis.

Indexed as

Cell CommunicationCell DifferentiationCell Line, TumorCell MovementEquipment DesignHumansHuman Umbilical Vein Endothelial CellsInflammationMacrophagesMicrofluidic Analytical TechniquesMicrovesselsMonocytesNeoplasmsCancer cell extravasationCancer immunotherapyCancer metastasisMicrofluidic modelsMonocyte extravasationMonocyte to macrophage differentiation

Identifiers

PMID29548546
PMCPMC6123301
OpenAlexW2789651979

What OpenQuestion holds

Textmetadata
LicenceTDM
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.