Evidence map›Paper›PMID 26235230›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2015

Interstitial flows promote amoeboid over mesenchymal motility of breast cancer cells revealed by a three dimensional microfluidic model.

Yu Ling Huang, Chih-Kuan Tung, Anqi Zheng, Beum Jun Kim, Mingming Wu

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

  1. Article
  2. Microphysiological systems for metastasis research: a stepwise approach.Cellular oncology (Dordrecht, Netherlands) · 2025
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  18. Breast tumor-on-chip models: From disease modeling to personalized drug screening.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  19. Multicellular 3D Models to Study Tumour-Stroma Interactions.International journal of molecular sciences · 2021
    Review
  20. Review
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

5 authors.

Yu Ling HuangDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley Robb Hall, 111 Wing Drive, Ithaca, NY 14853-5701, USA. mw272@cornell.edu.
Chih-Kuan TungDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley Robb Hall, 111 Wing Drive, Ithaca, NY 14853-5701, USA. mw272@cornell.edu.
Anqi ZhengDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley Robb Hall, 111 Wing Drive, Ithaca, NY 14853-5701, USA. mw272@cornell.edu.
Beum Jun KimDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley Robb Hall, 111 Wing Drive, Ithaca, NY 14853-5701, USA. mw272@cornell.edu.
Mingming WuDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley Robb Hall, 111 Wing Drive, Ithaca, NY 14853-5701, USA. mw272@cornell.edu.

Funding

TRANS-NETWORK PROJECTSU54CA143876 · NCI · CORNELL UNIVERSITY · PI SHULER, MICHAEL L · 2009 to 2014
$12.6M
A 3D microfluidic platform for quantitative assessments of tumor cell migrationR21CA138366 · NCI · CORNELL UNIVERSITY · PI WU, MINGMING · 2010 to 2011
$347k
NCI NIH HHS R21 CA138366NCI NIH HHS R21CA138366NCI NIH HHS U54 CA143876NCI NIH HHS U54CA143876
6 · The paper itself

Abstract

Malignant tumors are often associated with an elevated fluid pressure due to the abnormal growth of vascular vessels, and thus an increased interstitial flow out of the tumors. Recent in vitro works revealed that interstitial flows critically regulated tumor cell migration within a three dimensional biomatrix, and breast cancer cell migration behavior depended sensitively on the cell seeding density, chemokine availability and flow rates. In this paper, we focus on the role of interstitial flows in modulating the heterogeneity of cancer cell motility phenotype within a three dimensional biomatrix. Using a newly developed microfluidic model, we show that breast cancer cells (MDA-MB-231) embedded in a 3D type I collagen matrix exhibit both amoeboid and mesenchymal motility, and interstitial flows promote the cell population towards the amoeboid motility phenotype. Furthermore, the addition of exogenous adhesion molecules (fibronectin) within the extracellular matrix (type I collagen) partially rescues the mesenchymal phenotype in the presence of the flow. Quantitative analysis of cell tracks and cell shapes shows distinct differential migration characteristics of amoeboid and mesenchymal cells. Notably, the fastest moving cells belong to the subpopulation of amoeboid cells. Together, these findings highlight the important role of biophysical forces in modulating tumor cell migration heterogeneity and plasticity, as well as the suitability of microfluidic models in interrogating tumor cell dynamics at single-cell and subpopulation level.

Indexed as

Cell MovementMicrofluidicsActinsBiophysicsBreast NeoplasmsCell AdhesionCell Line, TumorChemokinesChemotaxisCollagenCollagen Type IExtracellular MatrixFemaleFibronectinsHumansMesodermActinsChemokinesCollagenCollagen Type IFibronectins

Identifiers

PMID26235230
PMCPMC4630101

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Registered trials

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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.