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Deciphering Cell-to-Cell Communication in Acquisition of Cancer Traits: Extracellular Membrane Vesicles Are Regulators of Tissue Biomechanics

Overview of attention for article published in OMICS: A Journal of Integrative Biology, August 2016
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Article details
Title
Deciphering Cell-to-Cell Communication in Acquisition of Cancer Traits: Extracellular Membrane Vesicles Are Regulators of Tissue Biomechanics
Published in
OMICS: A Journal of Integrative Biology, August 2016
DOI 10.1089/omi.2016.0072
Pubmed ID
Authors
Abstract

Deciphering the role of cell-to-cell communication in acquisition of cancer traits such as metastasis is one of the key challenges of integrative biology and clinical oncology. In this context, extracellular vesicles (EVs) are important vectors in cell-to-cell communication and serve as conduits in the transfer of cellular constituents required for cell function and for the establishment of cellular phenotypes. In the case of malignancy, they have been shown to support the acquisition of common traits defined as constituting the hallmarks of cancer. Cellular biophysics has contributed to our understanding of some of these central traits with changes in tissue biomechanics reflective of cell state. Indeed, much is known about stiffness of the tissue scaffold in the context of cell invasion and migration. This article advances this knowledge frontier by showing for the first time that EVs are mediators of tissue biomechanical properties and, importantly, demonstrates a link between the acquisition of cancer multidrug resistance and increased tissue stiffness of the malignant mass. The methodology used in the study employed optical coherence elastography and atomic force microscopy on breast cancer cell monolayers and tumor spheroids. Specifically, we show here that the acquired changes in tissue stiffness can be attributed to the intracellular transfer of a protein complex comprising ezrin, radixin, moesin, CD44, and P-glycoprotein. This has important implications in facilitating mechano-transduced signaling cascades that regulate the acquisition of cancer traits, such as invasion and metastasis. Finally, this study also introduces novel targets and strategies for diagnostic and therapeutic innovation in oncology, with a view to prevention of metastatic spread and personalized medicine in cancer treatment.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
United Kingdom 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 7 18%
Student > Master 5 13%
Student > Bachelor 4 11%
Lecturer 2 5%
Other 4 11%
Unknown 5 13%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Engineering 6 16%
Physics and Astronomy 4 11%
Agricultural and Biological Sciences 3 8%
Social Sciences 3 8%
Other 9 24%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2016.
All research outputs
#18,879,247
of 27,377,461 outputs
Outputs from OMICS: A Journal of Integrative Biology
#464
of 740 outputs
Outputs of similar age
#213,398
of 331,346 outputs
Outputs of similar age from OMICS: A Journal of Integrative Biology
#7
of 15 outputs
Altmetric has tracked 27,377,461 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 740 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,346 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.