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Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer

Overview of attention for article published in Molecular Cancer, February 2018
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2 tweeters

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Title
Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
Published in
Molecular Cancer, February 2018
DOI 10.1186/s12943-018-0809-x
Pubmed ID
Authors

Mingshan Liu, Yang Liu, Lu Deng, Dong Wang, Xueyan He, Lei Zhou, Max S. Wicha, Fan Bai, Suling Liu

Abstract

Breast cancer stem cells (BCSCs) are thought to be responsible for tumor initiation, metastasis and relapse. Our group and others have described markers useful in isolating BCSCs just as aldehyde dehydrogenase positive (ALDH+) or CD24-CD44+. In fact, cells which simultaneously express both sets of markers have the highest tumor initiating capacity. Although the transcriptomic profile of cells expressing each BCSC marker alone has been reported, the profile of the most tumorigenic population expressing both sets of markers has not. Here we used the biomarker combination of ALDH and CD24/CD44 to sort four populations isolated from triple-negative breast cancer (TNBC) patient-derived xenografts, and performed whole-transcriptome sequencing on each population. We systematically compared the profiles of the three states of BCSCs (ALDH+CD24-CD44+, ALDH+non-CD24-CD44+and ALDH-CD24-CD44+) to that of the differentiated tumor cells (ALDH-non-CD24-CD44+). For the first time, we compared the ALDH+CD24-CD44+BCSCs with the other two BCSC populations. In ALDH+CD24-CD44+BCSCs, we identified P4HA2, PTGR1 and RAB40B as potential prognostic markers, which were virtually related to the status of BCSCs and tumor growth in TNBC cells.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Student > Master 8 15%
Student > Postgraduate 3 6%
Student > Doctoral Student 3 6%
Unspecified 2 4%
Other 8 15%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 35%
Medicine and Dentistry 6 12%
Agricultural and Biological Sciences 4 8%
Engineering 4 8%
Unspecified 2 4%
Other 7 13%
Unknown 11 21%

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 04 March 2018.
All research outputs
#9,666,203
of 12,593,681 outputs
Outputs from Molecular Cancer
#690
of 1,061 outputs
Outputs of similar age
#187,036
of 271,917 outputs
Outputs of similar age from Molecular Cancer
#1
of 2 outputs
Altmetric has tracked 12,593,681 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,061 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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