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Engineering Breast Cancer Microenvironments and 3D Bioprinting

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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6 X users
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1 patent

Citations

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84 Dimensions

Readers on

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246 Mendeley
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Title
Engineering Breast Cancer Microenvironments and 3D Bioprinting
Published in
Frontiers in Bioengineering and Biotechnology, May 2018
DOI 10.3389/fbioe.2018.00066
Pubmed ID
Authors

Jorge A. Belgodere, Connor T. King, Jacob B. Bursavich, Matthew E. Burow, Elizabeth C. Martin, Jangwook P. Jung

Abstract

The extracellular matrix (ECM) is a critical cue to direct tumorigenesis and metastasis. Although two-dimensional (2D) culture models have been widely employed to understand breast cancer microenvironments over the past several decades, the 2D models still exhibit limited success. Overwhelming evidence supports that three dimensional (3D), physiologically relevant culture models are required to better understand cancer progression and develop more effective treatment. Such platforms should include cancer-specific architectures, relevant physicochemical signals, stromal-cancer cell interactions, immune components, vascular components, and cell-ECM interactions found in patient tumors. This review briefly summarizes how cancer microenvironments (stromal component, cell-ECM interactions, and molecular modulators) are defined and what emerging technologies (perfusable scaffold, tumor stiffness, supporting cells within tumors and complex patterning) can be utilized to better mimic native-like breast cancer microenvironments. Furthermore, this review emphasizes biophysical properties that differ between primary tumor ECM and tissue sites of metastatic lesions with a focus on matrix modulation of cancer stem cells, providing a rationale for investigation of underexplored ECM proteins that could alter patient prognosis. To engineer breast cancer microenvironments, we categorized technologies into two groups: (1) biochemical factors modulating breast cancer cell-ECM interactions and (2) 3D bioprinting methods and its applications to model breast cancer microenvironments. Biochemical factors include matrix-associated proteins, soluble factors, ECMs, and synthetic biomaterials. For the application of 3D bioprinting, we discuss the transition of 2D patterning to 3D scaffolding with various bioprinting technologies to implement biophysical cues to model breast cancer microenvironments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 246 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 15%
Researcher 37 15%
Student > Master 30 12%
Student > Bachelor 26 11%
Student > Doctoral Student 16 7%
Other 30 12%
Unknown 69 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 57 23%
Engineering 33 13%
Agricultural and Biological Sciences 15 6%
Pharmacology, Toxicology and Pharmaceutical Science 13 5%
Materials Science 10 4%
Other 34 14%
Unknown 84 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 December 2022.
All research outputs
#4,561,620
of 23,341,064 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#632
of 6,980 outputs
Outputs of similar age
#87,601
of 331,112 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#14
of 50 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,980 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 331,112 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 73% of its contemporaries.
We're also able to compare this research output to 50 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 72% of its contemporaries.