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Poor prognosis of patients with triple-negative breast cancer can be stratified by RANK and RANKL dual expression

Overview of attention for article published in Breast Cancer Research and Treatment, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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4 tweeters

Citations

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10 Dimensions

Readers on

mendeley
27 Mendeley
Title
Poor prognosis of patients with triple-negative breast cancer can be stratified by RANK and RANKL dual expression
Published in
Breast Cancer Research and Treatment, April 2017
DOI 10.1007/s10549-017-4233-5
Pubmed ID
Authors

Monica E. Reyes, Takeo Fujii, Daniel Branstetter, Savitri Krishnamurthy, Hiroko Masuda, Xiaoping Wang, James M. Reuben, Wendy A. Woodward, Beatrice J. Edwards, Gabriel N. Hortobagyi, Debu Tripathy, William C. Dougall, Bedrich L. Eckhardt, Naoto T. Ueno

Abstract

As clinical studies have correlated RANK expression levels with survival in breast cancer, and that RANK signaling is dependent on its cognate ligand RANKL, we hypothesized that dual protein expression further stratifies the poor outcome in TNBC. RANK mRNA and protein expression was evaluated in TNBC using genomic databases, cell lines and in a tissue microarray of curated primary tumor samples derived from 87 patients with TNBC. RANK expression was evaluated either by Mann-Whitney U test on log-normalized gene expression data or by Student's t test on FACS data. Analysis of RANK and RANKL immunostaining was calculated by H-score, and correlations to clinical factors performed using χ (2) or Fisher's exact test. Associations with RFS and OS were assessed using univariate and multivariate Cox proportional hazard models. Survival estimates were generated using the Kaplan-Meier method. In three distinct datasets spanning 684 samples, RANK mRNA expression was higher in primary tumors derived from TNBC patients than from those with other molecular subtypes (P < 0.01). Cell surface-localized RANK protein was consistently higher in TNBC cell lines (P = 0.037). In clinical samples, TNBC patients that expressed both RANK and RANKL proteins had significantly worse RFS (P = 0.0032) and OS (P = 0.004) than patients with RANK-positive, RANKL-negative tumors. RANKL was an independent, poor prognostic factor for RFS (P = 0.04) and OS (P = 0.01) in multivariate analysis in samples that expressed both RANK and RANKL. RANK and RANKL co-expression is associated with poor RFS and OS in patients with TNBC.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Unspecified 5 19%
Student > Ph. D. Student 4 15%
Student > Bachelor 3 11%
Researcher 3 11%
Other 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 22%
Unspecified 6 22%
Medicine and Dentistry 4 15%
Immunology and Microbiology 4 15%
Agricultural and Biological Sciences 4 15%
Other 3 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 April 2017.
All research outputs
#3,674,034
of 12,751,656 outputs
Outputs from Breast Cancer Research and Treatment
#920
of 3,165 outputs
Outputs of similar age
#90,548
of 260,133 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#22
of 63 outputs
Altmetric has tracked 12,751,656 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,165 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 70% 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 260,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 63 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 65% of its contemporaries.