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Modelling glioma invasion using 3D bioprinting and scaffold‐free 3D culture

Overview of attention for article published in Journal of Cell Communication and Signaling, June 2018
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Title
Modelling glioma invasion using 3D bioprinting and scaffold‐free 3D culture
Published in
Journal of Cell Communication and Signaling, June 2018
DOI 10.1007/s12079-018-0469-z
Pubmed ID
Authors

Derek M. van Pel, Kaori Harada, Dandan Song, Christian C. Naus, Wun Chey Sin

Abstract

Glioma is a highly aggressive form of brain cancer, with some subtypes having 5-year survival rates of less than 5%. Tumour cell invasion into the surrounding parenchyma seems to be the primary driver of these poor outcomes, as most gliomas recur within 2 cm of the original surgically-resected tumour. Many current approaches to the development of anticancer therapy attempt to target genetic weaknesses in a particular cancer, but may not take into account the microenvironment experienced by a tumour and the patient-specific genetic differences in susceptibility to treatment. Here we demonstrate the use of complementary approaches, 3D bioprinting and scaffold-free 3D tissue culture, to examine the invasion of glioma cells into neural-like tissue with 3D confocal microscopy. We found that, while both approaches were successful, the use of 3D tissue culture for organoid development offers the advantage of broad accessibility. As a proof-of-concept of our approach, we developed a system in which we could model the invasion of human glioma cells into mouse neural progenitor cell-derived spheroids. We show that we can follow invasion of human tumour cells using cell-tracking dyes and 3D laser scanning confocal microscopy, both in real time and in fixed samples. We validated these results using conventional cryosectioning. Our scaffold-free 3D approach has broad applicability, as we were easily able to examine invasion using different neural progenitor cell lines, thus mimicking differences that might be observed in patient brain tissue. These results, once applied to iPSC-derived cerebral organoids that incorporate the somatic genetic variability of patients, offer the promise of truly personalized treatments for brain cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Bachelor 15 12%
Student > Master 13 10%
Researcher 12 10%
Student > Doctoral Student 8 6%
Other 21 17%
Unknown 39 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 18%
Agricultural and Biological Sciences 14 11%
Engineering 14 11%
Medicine and Dentistry 10 8%
Neuroscience 8 6%
Other 14 11%
Unknown 43 34%
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 18 June 2018.
All research outputs
#18,639,173
of 23,090,520 outputs
Outputs from Journal of Cell Communication and Signaling
#177
of 273 outputs
Outputs of similar age
#233,663
of 301,972 outputs
Outputs of similar age from Journal of Cell Communication and Signaling
#4
of 6 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 273 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 22nd percentile – i.e., 22% 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 301,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.