Literature DB >> 28799616

Quantitative investigation of MDA-MB-231 breast cancer cell motility: dependence on epidermal growth factor concentration and its gradient.

Tanzila Islam1, Haluk Resat.   

Abstract

Enhanced cell motility is one of the primary features of cancer. Accumulated evidence demonstrates that Epidermal Growth Factor Receptor (EGFR) mediated pathways play an important role in breast cancer cell proliferation and migration. We have quantified the MDA-MB-231 breast cancer cell migration in response to the stimulation of EGFR pathways with their ligand EGF to determine how the cell motility of MDA-MB-231 cells depends on the ligand concentration and gradient. Analysis at the single cell level combined with mathematical modeling and the ability to vary the ligand concentration and gradients locally using microfluidic devices allowed us to separate the unique contributions of ligand concentration and ligand gradient to cell motility. We tracked the motility of 6600 cells individually using time lapse imaging under varying EGF stimulation conditions. Trajectory analysis of the tracked cells using non-linear multivariate regression models showed that: (i) cell migration of MDA-MB-231 breast cancer cells depends on the ligand gradient but not on the ligand concentration. This observation was valid for both the total (direction independent) and directed (along gradient direction) cell velocities. Although the dependence of the directed motility on ligand gradient is to be expected, the dependence of the total velocity solely on ligand gradient was an unexpected novel observation. (ii) Enhancement of the motilities of individual cells in a population upon exposure to the ligand was highly heterogeneous, and only a very small percentage of cells responded strongly to the external stimuli. Separating out the non-responding cells using quantitative analysis of individual cell motilities enabled us to establish that enhanced motility of the responding cells indeed increases monotonically with increasing EGF gradient. (iii) A large proportion of cells in a population were unresponsive to ligand stimulation, and their presence introduced considerable random intrinsic variability to the observations. This indicated that studying cell motilities at the individual cell level is necessary to better capture the biological reality and that population averaging methods should be avoided. Studying motilities at the individual cell level is particularly important to understand the biological processes that are possibly driven by the action of a small portion of cells in a population, such as metastasis. We discuss the implications of our results on the total and chemotactic movement of cancer cells in the tumor microenvironment.

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Year:  2017        PMID: 28799616      PMCID: PMC5624528          DOI: 10.1039/c7mb00390k

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  53 in total

Review 1.  Microfluidic gradient platforms for controlling cellular behavior.

Authors:  Bong Geun Chung; Jaebum Choo
Journal:  Electrophoresis       Date:  2010-09       Impact factor: 3.535

Review 2.  Tumor microenvironment: the role of the tumor stroma in cancer.

Authors:  Hanchen Li; Xueli Fan; Jeanmarie Houghton
Journal:  J Cell Biochem       Date:  2007-07-01       Impact factor: 4.429

Review 3.  Tumor-stroma crosstalk: targeting stroma in breast cancer.

Authors:  Carmen Criscitiello; Angela Esposito; Giuseppe Curigliano
Journal:  Curr Opin Oncol       Date:  2014-11       Impact factor: 3.645

4.  Diffusion of insulin-like growth factor-I and ribonuclease through fibrin gels.

Authors:  Jess V Nauman; Phil G Campbell; Frederick Lanni; John L Anderson
Journal:  Biophys J       Date:  2007-03-30       Impact factor: 4.033

5.  EGF enhances low-invasive cancer cell invasion by promoting IMP-3 expression.

Authors:  Xianglan Zhang; Im-Hee Jung; Young Sun Hwang
Journal:  Tumour Biol       Date:  2015-09-19

6.  A microfluidic device for characterizing the invasion of cancer cells in 3-D matrix.

Authors:  Tingjiao Liu; Chunyu Li; Hongjing Li; Shaojiang Zeng; Jianhua Qin; Bingcheng Lin
Journal:  Electrophoresis       Date:  2009-12       Impact factor: 3.535

Review 7.  Breast cancer stem cells and the immune system: promotion, evasion and therapy.

Authors:  Sarah T Boyle; Marina Kochetkova
Journal:  J Mammary Gland Biol Neoplasia       Date:  2014-07-06       Impact factor: 2.673

8.  Integrated experimental and model-based analysis reveals the spatial aspects of EGFR activation dynamics.

Authors:  Harish Shankaran; Yi Zhang; William B Chrisler; Jonathan A Ewald; H Steven Wiley; Haluk Resat
Journal:  Mol Biosyst       Date:  2012-09-05

9.  Cell migration and invasion assays as tools for drug discovery.

Authors:  Keren I Hulkower; Renee L Herber
Journal:  Pharmaceutics       Date:  2011-03-11       Impact factor: 6.321

10.  Local signaling by the EGF receptor.

Authors:  Stephan J Kempiak; Shu-Chin Yip; Jonathan M Backer; Jeffrey E Segall
Journal:  J Cell Biol       Date:  2003-09-01       Impact factor: 10.539

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  2 in total

Review 1.  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

2.  Decoding Single Cell Morphology in Osteotropic Breast Cancer Cells for Dissecting Their Migratory, Molecular and Biophysical Heterogeneity.

Authors:  Lila Bemmerlein; Ilker A Deniz; Jana Karbanová; Angela Jacobi; Stephan Drukewitz; Theresa Link; Andy Göbel; Lisa Sevenich; Anna V Taubenberger; Pauline Wimberger; Jan Dominik Kuhlmann; Denis Corbeil
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

  2 in total

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