↓ Skip to main content

Multipotent luminal mammary cancer stem cells model tumor heterogeneity

Overview of attention for article published in Breast Cancer Research, October 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
82 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multipotent luminal mammary cancer stem cells model tumor heterogeneity
Published in
Breast Cancer Research, October 2015
DOI 10.1186/s13058-015-0615-y
Pubmed ID
Authors

Lei Bao, Robert D. Cardiff, Paul Steinbach, Karen S. Messer, Lesley G. Ellies

Abstract

The diversity of human breast cancer subtypes has led to the hypothesis that breast cancer is actually a number of different diseases arising from cells at various stages of differentiation. The elusive nature of the cell(s) of origin thus hampers approaches to eradicate the disease. Clonal cell lines were isolated from primary transgenic polyomavirus middle T (PyVmT) luminal tumors. Mammary cancer stem cell (MaCSC) properties were examined by immunofluorescence, flow cytometry, differentiation assays and in vivo tumorigenesis. Clonal cell lines isolated from primary PyVmT mouse mammary luminal tumors can differentiate into luminal, myoepithelial, alveolar and adipocyte lineages. Upon orthotopic injection, progeny of a single cell follow a pattern of progression from ductal carcinoma in situ, to adenoma, adenocarcinoma and epithelial metastasis that recapitulates the transgenic model. Tumors can evolve in vivo from hormone receptor-positive to hormone receptor-negative Her2-positive, or triple negative CD44hi basal-like and claudin-low tumors. Contrary to the current paradigm, we have defined a model in which multiple tumor subtypes can originate from a single multipotent cancer stem cell that undergoes genetic and/or epigenetic evolution during tumor progression. As in human tumors, the more aggressive tumor subtypes express nuclear p53. Tumor cell lines can also be derived from these more advanced tumor subtypes. Since the majority of human tumors are of the luminal subtype, understanding the cell of origin of these tumors and how they relate to other tumor subtypes will impact cancer therapy. Analysis of clonal cell lines derived from different tumor subtypes suggests a developmental hierarchy of MaCSCs, which may provide insights into the progression of human breast cancer.

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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 10 12%
Student > Master 7 9%
Student > Postgraduate 5 6%
Professor 5 6%
Other 13 16%
Unknown 23 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 22%
Agricultural and Biological Sciences 13 16%
Medicine and Dentistry 11 13%
Engineering 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 8 10%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 July 2016.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Breast Cancer Research
#977
of 2,052 outputs
Outputs of similar age
#99,625
of 291,148 outputs
Outputs of similar age from Breast Cancer Research
#16
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 39th percentile – i.e., 39% 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 291,148 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 55% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.