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From competency to dormancy: a 3D model to study cancer cells and drug responsiveness

Overview of attention for article published in Journal of Translational Medicine, February 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

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30 Dimensions

Readers on

mendeley
63 Mendeley
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Title
From competency to dormancy: a 3D model to study cancer cells and drug responsiveness
Published in
Journal of Translational Medicine, February 2016
DOI 10.1186/s12967-016-0798-8
Pubmed ID
Authors

Josephine Y. Fang, Shih-Jye Tan, Yi-Chen Wu, Zhi Yang, Ba X. Hoang, Bo Han

Abstract

The heterogeneous and dynamic tumor microenvironment has significant impact on cancer cell proliferation, invasion, drug response, and is probably associated with entering dormancy and recurrence. However, these complex settings are hard to recapitulate in vitro. In this study, we mimic different restriction forces that tumor cells are exposed to using a physiologically relevant 3D model with tunable mechanical stiffness. Breast cancer MDA-MB-231, colon cancer HCT-116 and pancreatic cancer CFPAC cells embedded in the stiffer gels exhibit a changed morphology and cluster formation, prolonged doubling time, and a slower metabolism rate, recapitulating the pathway from competency to dormancy. Altering environmental restriction allows them to re-enter and exit dormant conditions and change their sensitivities to drugs such as paclitaxol and gemcitabine. Cells surviving drug treatments can still regain competent growth and form tumors in vivo. We have successfully developed an in vitro 3D model to mimic the effects of matrix restriction on tumor cells and this high throughput model can be used to study tumor cellular functions and their drug responses in their different states. This all in one platform may aid effective drug development.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 29%
Student > Bachelor 8 13%
Student > Master 8 13%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 5 8%
Unknown 13 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 27%
Agricultural and Biological Sciences 7 11%
Engineering 7 11%
Medicine and Dentistry 5 8%
Immunology and Microbiology 3 5%
Other 6 10%
Unknown 18 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 February 2016.
All research outputs
#3,125,596
of 7,108,255 outputs
Outputs from Journal of Translational Medicine
#640
of 1,670 outputs
Outputs of similar age
#139,047
of 319,397 outputs
Outputs of similar age from Journal of Translational Medicine
#26
of 77 outputs
Altmetric has tracked 7,108,255 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 1,670 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 53% 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 319,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.