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The molecular landscape of premenopausal breast cancer

Overview of attention for article published in Breast Cancer Research, August 2015
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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16 X users
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2 Facebook pages

Citations

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60 Dimensions

Readers on

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88 Mendeley
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1 CiteULike
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Title
The molecular landscape of premenopausal breast cancer
Published in
Breast Cancer Research, August 2015
DOI 10.1186/s13058-015-0618-8
Pubmed ID
Authors

Serena Liao, Ryan J. Hartmaier, Kandace P. McGuire, Shannon L. Puhalla, Soumya Luthra, Uma R. Chandran, Tianzhou Ma, Rohit Bhargava, Francesmary Modugno, Nancy E. Davidson, Steve Benz, Adrian V. Lee, George C. Tseng, Steffi Oesterreich

Abstract

Breast cancer in premenopausal women (preM) is frequently associated with worse prognosis compared to that in postmenopausal women (postM), and there is evidence that preM estrogen receptor-positive (ER+) tumors may respond poorly to endocrine therapy. There is, however, a paucity of studies characterizing molecular alterations in premenopausal tumors, a potential avenue for personalizing therapy for this group of women. Using TCGA and METABRIC databases, we analyzed gene expression, copy number, methylation, somatic mutation, and reverse-phase protein array data in breast cancers from >2,500 preM and postM women. PreM tumors showed unique gene expression compared to postM tumors, however, this difference was limited to ER+ tumors. ER+ preM tumors showed unique DNA methylation, copy number and somatic mutations. Integrative pathway analysis revealed that preM tumors had elevated integrin/laminin and EGFR signaling, with enrichment for upstream TGFβ-regulation. Finally, preM tumors showed three different gene expression clusters with significantly different outcomes. Together these data suggest that ER+ preM tumors have distinct molecular characteristics compared to ER+ postM tumors, particularly with respect to integrin/laminin and EGFR signaling, which may represent therapeutic targets in this subgroup of breast cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 16 18%
Professor > Associate Professor 8 9%
Student > Bachelor 7 8%
Student > Postgraduate 5 6%
Other 16 18%
Unknown 17 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 20%
Agricultural and Biological Sciences 15 17%
Medicine and Dentistry 15 17%
Computer Science 3 3%
Mathematics 3 3%
Other 11 13%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 November 2017.
All research outputs
#3,671,002
of 25,371,288 outputs
Outputs from Breast Cancer Research
#435
of 2,052 outputs
Outputs of similar age
#45,313
of 275,827 outputs
Outputs of similar age from Breast Cancer Research
#13
of 43 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 78% 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 275,827 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 43 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.