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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A microfluidic 3D in vitro model for specificity of breast cancer metastasis to bone
|
|---|---|
| Published in |
Clinical Materials, December 2013
|
| DOI | 10.1016/j.biomaterials.2013.11.050 |
| Pubmed ID | |
| Authors |
Simone Bersini, Jessie S. Jeon, Gabriele Dubini, Chiara Arrigoni, Seok Chung, Joseph L. Charest, Matteo Moretti, Roger D. Kamm |
| Abstract |
Cancer metastases arise following extravasation of circulating tumor cells with certain tumors exhibiting high organ specificity. Here, we developed a 3D microfluidic model to analyze the specificity of human breast cancer metastases to bone, recreating a vascularized osteo-cell conditioned microenvironment with human osteo-differentiated bone marrow-derived mesenchymal stem cells and endothelial cells. The tri-culture system allowed us to study the transendothelial migration of highly metastatic breast cancer cells and to monitor their behavior within the bone-like matrix. Extravasation, quantified 24 h after cancer cell injection, was significantly higher in the osteo-cell conditioned microenvironment compared to collagen gel-only matrices (77.5 ± 3.7% vs. 37.6 ± 7.3%), and the migration distance was also significantly greater (50.8 ± 6.2 μm vs. 31.8 ± 5.0 μm). Extravasated cells proliferated to form micrometastases of various sizes containing 4 to more than 60 cells by day 5. We demonstrated that the breast cancer cell receptor CXCR2 and the bone-secreted chemokine CXCL5 play a major role in the extravasation process, influencing extravasation rate and traveled distance. Our study provides novel 3D in vitro quantitative data on extravasation and micrometastasis generation of breast cancer cells within a bone-like microenvironment and demonstrates the potential value of microfluidic systems to better understand cancer biology and screen for new therapeutics. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 763 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Portugal | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 748 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 220 | 29% |
| Researcher | 112 | 15% |
| Student > Master | 111 | 15% |
| Student > Bachelor | 76 | 10% |
| Student > Doctoral Student | 42 | 6% |
| Other | 77 | 10% |
| Unknown | 125 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 206 | 27% |
| Agricultural and Biological Sciences | 117 | 15% |
| Biochemistry, Genetics and Molecular Biology | 112 | 15% |
| Medicine and Dentistry | 38 | 5% |
| Materials Science | 26 | 3% |
| Other | 91 | 12% |
| Unknown | 173 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 17 August 2021.
All research outputs
#691,968
of 25,728,855 outputs
Outputs from Clinical Materials
#130
of 10,813 outputs
Outputs of similar age
#7,007
of 320,724 outputs
Outputs of similar age from Clinical Materials
#1
of 148 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 98% of its peers.
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 320,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.