| Title |
In Vitro Models for Studying Invasive Transitions of Ductal Carcinoma In Situ
|
|---|---|
| Published in |
Journal of Mammary Gland Biology and Neoplasia, July 2018
|
| DOI | 10.1007/s10911-018-9405-3 |
| Pubmed ID | |
| Authors |
Ethan J. Brock, Kyungmin Ji, Seema Shah, Raymond R. Mattingly, Bonnie F. Sloane |
| Abstract |
About one fourth of all newly identified cases of breast carcinoma are diagnoses of breast ductal carcinoma in situ (DCIS). Since we cannot yet distinguish DCIS cases that would remain indolent from those that may progress to life-threatening invasive ductal carcinoma (IDC), almost all women undergo aggressive treatment. In order to allow for more rational individualized treatment, we and others are developing in vitro models to identify and validate druggable pathways that mediate the transition of DCIS to IDC. These models range from conventional two-dimensional (2D) monolayer cultures on plastic to 3D cultures in natural or synthetic matrices. Some models consist solely of DCIS cells, either cell lines or primary cells. Others are co-cultures that include additional cell types present in the normal or cancerous human breast. The 3D co-culture models more accurately mimic structural and functional changes in breast architecture that accompany the transition of DCIS to IDC. Mechanistic studies of the dynamic and temporal changes associated with this transition are facilitated by adapting the in vitro models to engineered microfluidic platforms. Ultimately, the goal is to create in vitro models that can serve as a reproducible preclinical screen for testing therapeutic strategies that will reduce progression of DCIS to IDC. This review will discuss the in vitro models that are currently available, as well as the progress that has been made using them to understand DCIS pathobiology. |
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 % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Bachelor | 9 | 12% |
| Researcher | 7 | 9% |
| Other | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Agricultural and Biological Sciences | 10 | 14% |
| Medicine and Dentistry | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 21 | 28% |
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 08 February 2019.
All research outputs
#18,716,597
of 23,867,274 outputs
Outputs from Journal of Mammary Gland Biology and Neoplasia
#291
of 367 outputs
Outputs of similar age
#242,200
of 333,075 outputs
Outputs of similar age from Journal of Mammary Gland Biology and Neoplasia
#2
of 6 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 18th percentile – i.e., 18% 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 333,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% 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 4 of them.