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Race-associated biological differences among luminal A and basal-like breast cancers in the Carolina Breast Cancer Study

Overview of attention for article published in Breast Cancer Research, December 2017
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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 (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Race-associated biological differences among luminal A and basal-like breast cancers in the Carolina Breast Cancer Study
Published in
Breast Cancer Research, December 2017
DOI 10.1186/s13058-017-0914-6
Pubmed ID
Authors

Humberto Parada, Xuezheng Sun, Jodie M. Fleming, ClarLynda R. Williams-DeVane, Erin L. Kirk, Linnea T. Olsson, Charles M. Perou, Andrew F. Olshan, Melissa A. Troester

Abstract

We examined racial differences in the expression of eight genes and their associations with risk of recurrence among 478 white and 495 black women who participated in the Carolina Breast Cancer Study Phase 3. Breast tumor samples were analyzed for PAM50 subtype and for eight genes previously found to be differentially expressed by race and associated with breast cancer survival: ACOX2, MUC1, FAM177A1, GSTT2, PSPH, PSPHL, SQLE, and TYMS. The expression of these genes according to race was assessed using linear regression and each gene was evaluated in association with recurrence using Cox regression. Compared to white women, black women had lower expression of MUC1, a suspected good prognosis gene, and higher expression of GSTT2, PSPHL, SQLE, and TYMS, suspected poor prognosis genes, after adjustment for age and PAM50 subtype. High expression (greater than median versus less than or equal to median) of FAM177A1 and PSPH was associated with a 63% increase (hazard ratio (HR) = 1.63, 95% confidence interval (CI) = 1.09-2.46) and 76% increase (HR = 1.76, 95% CI = 1.15-2.68), respectively, in risk of recurrence after adjustment for age, race, PAM50 subtype, and ROR-PT score. Log2-transformed SQLE expression was associated with a 20% increase (HR = 1.20, 95% CI = 1.03-1.41) in recurrence risk after adjustment. A continuous multi-gene score comprised of eight genes was also associated with increased risk of recurrence among all women (HR = 1.11, 95% CI = 1.04-1.19) and among white (HR = 1.14, 95% CI = 1.03-1.27) and black (HR = 1.11, 95% CI = 1.02-1.20) women. Racial differences in gene expression may contribute to the survival disparity observed between black and white women diagnosed with breast cancer.

Mendeley readers

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 %
Researcher 9 17%
Student > Ph. D. Student 5 10%
Student > Master 4 8%
Student > Postgraduate 3 6%
Student > Bachelor 3 6%
Other 11 21%
Unknown 17 33%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Biochemistry, Genetics and Molecular Biology 5 10%
Mathematics 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 2 4%
Other 6 12%
Unknown 20 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 November 2018.
All research outputs
#4,838,109
of 25,382,440 outputs
Outputs from Breast Cancer Research
#555
of 2,054 outputs
Outputs of similar age
#95,296
of 445,007 outputs
Outputs of similar age from Breast Cancer Research
#8
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 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 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 445,007 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 77% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.