Literature DB >> 26235230

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

Yu Ling Huang1, Chih-Kuan Tung1, Anqi Zheng1, Beum Jun Kim1, Mingming Wu1.   

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.

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Year:  2015        PMID: 26235230      PMCID: PMC4630101          DOI: 10.1039/c5ib00115c

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  59 in total

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3.  Phaseguides: a paradigm shift in microfluidic priming and emptying.

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Journal:  Lab Chip       Date:  2011-03-10       Impact factor: 6.799

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Journal:  Science       Date:  2001-11-23       Impact factor: 47.728

5.  Interstitial flow in a 3D microenvironment increases glioma invasion by a CXCR4-dependent mechanism.

Authors:  Jennifer M Munson; Ravi V Bellamkonda; Melody A Swartz
Journal:  Cancer Res       Date:  2012-12-27       Impact factor: 12.701

Review 6.  Biophysical regulation of tumor cell invasion: moving beyond matrix stiffness.

Authors:  Amit Pathak; Sanjay Kumar
Journal:  Integr Biol (Camb)       Date:  2011-01-06       Impact factor: 2.192

7.  Differing modes of tumour cell invasion have distinct requirements for Rho/ROCK signalling and extracellular proteolysis.

Authors:  Erik Sahai; Christopher J Marshall
Journal:  Nat Cell Biol       Date:  2003-08       Impact factor: 28.824

8.  Multiscale measurements distinguish cellular and interstitial hindrances to diffusion in vivo.

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Journal:  Biophys J       Date:  2009-07-08       Impact factor: 4.033

Review 9.  Imaging amoeboid cancer cell motility in vivo.

Authors:  S Pinner; E Sahai
Journal:  J Microsc       Date:  2008-09       Impact factor: 1.758

Review 10.  Targeting tumor cell motility as a strategy against invasion and metastasis.

Authors:  Alan Wells; Jelena Grahovac; Sarah Wheeler; Bo Ma; Douglas Lauffenburger
Journal:  Trends Pharmacol Sci       Date:  2013-04-06       Impact factor: 14.819

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  23 in total

Review 1.  Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics.

Authors:  Michael Mak; Fabian Spill; Roger D Kamm; Muhammad H Zaman
Journal:  J Biomech Eng       Date:  2016-02       Impact factor: 2.097

2.  Perlecan domain I gradients establish stable biomimetic heparin binding growth factor gradients for cell migration in hydrogels.

Authors:  Kelsea M Hubka; Daniel D Carson; Daniel A Harrington; Mary C Farach-Carson
Journal:  Acta Biomater       Date:  2019-07-24       Impact factor: 8.947

3.  Microfluidic modeling of the biophysical microenvironment in tumor cell invasion.

Authors:  Yu Ling Huang; Jeffrey E Segall; Mingming Wu
Journal:  Lab Chip       Date:  2017-09-26       Impact factor: 6.799

4.  Interstitial fluid pressure regulates collective invasion in engineered human breast tumors via Snail, vimentin, and E-cadherin.

Authors:  Alexandra S Piotrowski-Daspit; Joe Tien; Celeste M Nelson
Journal:  Integr Biol (Camb)       Date:  2016-03-14       Impact factor: 2.192

5.  Quantitative characterization of viscoelastic fracture induced by time-dependent intratumoral pressure in a 3D model tumor.

Authors:  Quang D Tran; David Gonzalez-Rodriguez
Journal:  Biomicrofluidics       Date:  2019-10-01       Impact factor: 2.800

6.  Microfluidics for the study of mechanotransduction.

Authors:  Christian M Griffith; Stephanie A Huang; Crescentia Cho; Tanmay M Khare; Matthew Rich; Gi-Hun Lee; Frances S Ligler; Brian O Diekman; William J Polacheck
Journal:  J Phys D Appl Phys       Date:  2020-04-02       Impact factor: 3.207

7.  Effects of 3D geometries on cellular gradient sensing and polarization.

Authors:  Fabian Spill; Vivi Andasari; Michael Mak; Roger D Kamm; Muhammad H Zaman
Journal:  Phys Biol       Date:  2016-06-25       Impact factor: 2.583

8.  Evaluation of intercellular communication between breast cancer cells and adipose-derived stem cells via passive diffusion in a two-layer microfluidic device.

Authors:  Sharif M Rahman; Joshua M Campbell; Rachael N Coates; Katie M Render; C Ethan Byrne; Elizabeth C Martin; Adam T Melvin
Journal:  Lab Chip       Date:  2020-05-07       Impact factor: 6.799

9.  How Tumor Cells Can Make Use of Interstitial Fluid Flow in a Strategy for Metastasis.

Authors:  Steinar Evje; Jahn Otto Waldeland
Journal:  Cell Mol Bioeng       Date:  2019-03-27       Impact factor: 2.321

Review 10.  Breast tumor-on-chip models: From disease modeling to personalized drug screening.

Authors:  Bano Subia; Ujjwal Ranjan Dahiya; Sarita Mishra; Jessica Ayache; Guilhem Velve Casquillas; David Caballero; Rui L Reis; Subhas C Kundu
Journal:  J Control Release       Date:  2021-01-06       Impact factor: 9.776

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