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Proximity of Metastatic Cells Enhances Their Mechanobiological Invasiveness

Overview of attention for article published in Annals of Biomedical Engineering, February 2017
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Title
Proximity of Metastatic Cells Enhances Their Mechanobiological Invasiveness
Published in
Annals of Biomedical Engineering, February 2017
DOI 10.1007/s10439-017-1814-8
Pubmed ID
Authors

Yulia Merkher, Daphne Weihs

Abstract

A critical step in metastases formation is cancer-cell invasion through tissue. During invasion, cells change morphology and apply forces to their surroundings. We have previously shown that single, metastatic breast-cancer cells will mechanically indent a synthetic, impenetrable polyacrylamide gel with physiological-stiffness in attempted invasion; benign breast cells do not indent the gels. In solid tumors, e.g., breast cancers, metastases occur predominantly by collective cell-invasion. Thus, here we evaluate the effects of cell proximity on mechanical invasiveness, specifically through changes in gel indention. Gel indentation is induced by 56, 33 and 2% (in >1000 cells), respectively, of adjacent high metastatic potential (MP), low MP and benign breast cells, being double the amounts observed in single, well-separated cells. Single cells exhibited a distribution of indentation depths below 10 µm, while adjacent cells also showed a second peak of deeper indentations. The second peak included 65% of indenting high MP cells as compared to 15% in the low MP cells, illustrating the difference in their invasiveness. Thus, proximity of the metastatic cells enhances their mechanical ability to invade, demonstrating why collective cancer-cell migration is likely more efficient. This could potentially provide a rapid, quantitative approach to identify metastatic cells, and to determine their metastatic potential.

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Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Other 2 8%
Student > Doctoral Student 2 8%
Lecturer > Senior Lecturer 2 8%
Student > Ph. D. Student 2 8%
Other 6 23%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 27%
Agricultural and Biological Sciences 3 12%
Engineering 3 12%
Physics and Astronomy 2 8%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 10 38%