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A Targetable EGFR-Dependent Tumor-Initiating Program in Breast Cancer

Overview of attention for article published in Cell Reports, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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43 X users
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4 Facebook pages

Citations

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69 Dimensions

Readers on

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173 Mendeley
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Title
A Targetable EGFR-Dependent Tumor-Initiating Program in Breast Cancer
Published in
Cell Reports, October 2017
DOI 10.1016/j.celrep.2017.10.015
Pubmed ID
Authors

Paul Savage, Alexis Blanchet-Cohen, Timothée Revil, Dunarel Badescu, Sadiq M.I. Saleh, Yu-Chang Wang, Dongmei Zuo, Leah Liu, Nicholas R. Bertos, Valentina Munoz-Ramos, Mark Basik, Kevin Petrecca, Jamil Asselah, Sarkis Meterissian, Marie-Christine Guiot, Atilla Omeroglu, Claudia L. Kleinman, Morag Park, Jiannis Ragoussis

Abstract

Therapies targeting epidermal growth factor receptor (EGFR) have variable and unpredictable responses in breast cancer. Screening triple-negative breast cancer (TNBC) patient-derived xenografts (PDXs), we identify a subset responsive to EGFR inhibition by gefitinib, which displays heterogeneous expression of wild-type EGFR. Deep single-cell RNA sequencing of 3,500 cells from an exceptional responder identified subpopulations displaying distinct biological features, where elevated EGFR expression was significantly enriched in a mesenchymal/stem-like cellular cluster. Sorted EGFR(hi) subpopulations exhibited enhanced stem-like features, including ALDH activity, sphere-forming efficiency, and tumorigenic and metastatic potential. EGFR(hi) cells gave rise to EGFR(hi) and EGFR(lo) cells in primary and metastatic tumors, demonstrating an EGFR-dependent expansion and hierarchical state transition. Similar tumorigenic EGFR(hi) subpopulations were identified in independent PDXs, where heterogeneous EGFR expression correlated with gefitinib sensitivity. This provides new understanding for an EGFR-dependent hierarchy in TNBC and for patient stratification for therapeutic intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 173 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 21%
Researcher 28 16%
Student > Master 16 9%
Student > Bachelor 15 9%
Student > Doctoral Student 10 6%
Other 28 16%
Unknown 39 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 56 32%
Agricultural and Biological Sciences 30 17%
Medicine and Dentistry 12 7%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Immunology and Microbiology 4 2%
Other 18 10%
Unknown 44 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 November 2020.
All research outputs
#1,497,842
of 25,382,440 outputs
Outputs from Cell Reports
#3,440
of 12,965 outputs
Outputs of similar age
#29,920
of 331,218 outputs
Outputs of similar age from Cell Reports
#92
of 297 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 331,218 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.