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Dynamic Interactions Between Cancer Stem Cells and Their Stromal Partners

Overview of attention for article published in Current Pathobiology Reports, January 2014
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Title
Dynamic Interactions Between Cancer Stem Cells and Their Stromal Partners
Published in
Current Pathobiology Reports, January 2014
DOI 10.1007/s40139-013-0036-5
Pubmed ID
Authors

Tea Soon Park, Vera S. Donnenberg, Albert D. Donnenberg, Elias T. Zambidis, Ludovic Zimmerlin

Abstract

The cancer stem cell (CSC) paradigm presumes the existence of self-renewing cancer cells capable of regenerating all tumor compartments and exhibiting stem cell-associated phenotypes. Recent interpretations of the CSC hypothesis envision stemness as a dynamic trait of tumor-initiating cells rather than a defined and unique cell type. Bidirectional crosstalk between the tumor microenvironment and the cancer bulk is well described in the literature and the tumor-associated stroma, vasculature and immune infiltrate have all been implicated as direct contributors to tumor development. These non-neoplastic cell types have also been shown to organize specific niches within the tumor bulk where they can control the intra-tumor CSC content and alter the fate of CSCs and tumor progenitors during tumorigenesis to acquire phenotypic features for invasion, metastasis and dormancy. Despite the complexity of the tumor-stroma interactome, novel therapeutic approaches envision combining tumor-ablative treatment with manipulation of the tumor microenvironment. We will review the currently available literature that provides clues about the complex cellular network that regulate the CSC phenotype and its niches during tumor progression.

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The data shown below were collected from the profile of 1 X user 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 5 17%
Student > Master 4 14%
Student > Bachelor 3 10%
Professor 1 3%
Other 3 10%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 24%
Agricultural and Biological Sciences 6 21%
Medicine and Dentistry 5 17%
Social Sciences 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 9 31%
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 21 February 2014.
All research outputs
#18,365,132
of 22,745,803 outputs
Outputs from Current Pathobiology Reports
#68
of 103 outputs
Outputs of similar age
#229,096
of 305,280 outputs
Outputs of similar age from Current Pathobiology Reports
#5
of 6 outputs
Altmetric has tracked 22,745,803 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 103 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 14th percentile – i.e., 14% 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 305,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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.