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Interactions between immunity, proliferation and molecular subtype in breast cancer prognosis

Overview of attention for article published in Genome Biology, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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5 X users
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1 patent

Citations

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158 Dimensions

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172 Mendeley
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4 CiteULike
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Title
Interactions between immunity, proliferation and molecular subtype in breast cancer prognosis
Published in
Genome Biology, April 2013
DOI 10.1186/gb-2013-14-4-r34
Pubmed ID
Authors

Srikanth Nagalla, Jeff W Chou, Mark C Willingham, Jimmy Ruiz, James P Vaughn, Purnima Dubey, Timothy L Lash, Stephen J Hamilton-Dutoit, Jonas Bergh, Christos Sotiriou, Michael A Black, Lance D Miller

Abstract

BACKGROUND: Gene expression signatures indicative of tumor proliferative capacity and tumor-immune cell interactions have emerged as principal biology-driven predictors of breast cancer outcomes. How these signatures relate to one another in biological and prognostic contexts remains to be clarified. RESULTS: To investigate the relationship between proliferation and immune gene signatures, we analyzed an integrated dataset of 1,954 clinically annotated breast tumor expression profiles randomized into training and test sets to allow two-way discovery and validation of gene-survival associations. Hierarchical clustering revealed a large cluster of distant metastasis-free survival-associated genes with known immunological functions that further partitioned into three distinct immune metagenes likely reflecting B cells and/or plasma cells; T cells and natural killer cells; and monocytes and/or dendritic cells. A proliferation metagene allowed stratification of cases into proliferation tertiles. The prognostic strength of these metagenes was largely restricted to tumors within the highest proliferation tertile, though intrinsic subtype-specific differences were observed in the intermediate and low proliferation tertiles. In highly proliferative tumors, high tertile immune metagene expression equated with markedly reduced risk of metastasis whereas tumors with low tertile expression of any one of the three immune metagenes were associated with poor outcome despite higher expression of the other two metagenes. CONCLUSIONS: These findings suggest that a productive interplay among multiple immune cell types at the tumor site promotes long-term anti-metastatic immunity in a proliferation-dependent manner. The emergence of a subset of effective immune responders among highly proliferative tumors has novel prognostic ramifications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Australia 2 1%
Germany 1 <1%
Switzerland 1 <1%
France 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Unknown 161 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 23%
Student > Ph. D. Student 39 23%
Student > Master 16 9%
Student > Bachelor 16 9%
Student > Postgraduate 10 6%
Other 33 19%
Unknown 18 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 32%
Biochemistry, Genetics and Molecular Biology 41 24%
Medicine and Dentistry 27 16%
Immunology and Microbiology 10 6%
Sports and Recreations 6 3%
Other 12 7%
Unknown 21 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 February 2022.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#43,953
of 204,180 outputs
Outputs of similar age from Genome Biology
#37
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 204,180 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 76% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.