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DNA methylation and hormone receptor status in breast cancer

Overview of attention for article published in Clinical Epigenetics, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 blog
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1 Google+ user

Citations

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88 Mendeley
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Title
DNA methylation and hormone receptor status in breast cancer
Published in
Clinical Epigenetics, February 2016
DOI 10.1186/s13148-016-0184-7
Pubmed ID
Authors

Elizaveta V. Benevolenskaya, Abul B. M. M. K. Islam, Habibul Ahsan, Muhammad G. Kibriya, Farzana Jasmine, Ben Wolff, Umaima Al-Alem, Elizabeth Wiley, Andre Kajdacsy-Balla, Virgilia Macias, Garth H. Rauscher

Abstract

We examined whether differences in tumor DNA methylation were associated with more aggressive hormone receptor-negative breast cancer in an ethnically diverse group of patients in the Breast Cancer Care in Chicago (BCCC) study and using data from The Cancer Genome Atlas (TCGA). DNA was extracted from formalin-fixed, paraffin-embedded samples on 75 patients (21 White, 31 African-American, and 23 Hispanic) (training dataset) enrolled in the BCCC. Hormone receptor status was defined as negative if tumors were negative for both estrogen and progesterone (ER/PR) receptors (N = 22/75). DNA methylation was analyzed at 1505 CpG sites within 807 gene promoters using the Illumina GoldenGate assay. Differential DNA methylation as a predictor of hormone receptor status was tested while controlling for false discovery rate and assigned to the gene closest to the respective CpG site. Next, those genes that predicted ER/PR status were validated using TCGA data with respect to DNA methylation (validation dataset), and correlations between CpG methylation and gene expression were examined. In the training dataset, 5.7 % of promoter mean methylation values (46/807) were associated with receptor status at P < 0.05; for 88 % of these (38/46), hypermethylation was associated with receptor-positive disease. Hypermethylation for FZD9, MME, BCAP31, HDAC9, PAX6, SCGB3A1, PDGFRA, IGFBP3, and PTGS2 genes most strongly predicted receptor-positive disease. Twenty-one of 24 predictor genes from the training dataset were confirmed in the validation dataset. The level of DNA methylation at 19 out 22 genes, for which gene expression data were available, was associated with gene activity. Higher levels of promoter methylation strongly correlate with hormone receptor positive status of breast tumors. For most of the genes identified in our training dataset as ER/PR receptor status predictors, DNA methylation correlated with stable gene expression level. The predictors performed well when evaluated on independent set of samples, with different racioethnic distribution, thus providing evidence that this set of DNA methylation biomarkers will likely generalize to prospective patient samples.

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X Demographics

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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 %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 14%
Student > Ph. D. Student 11 13%
Researcher 10 11%
Student > Master 10 11%
Other 5 6%
Other 17 19%
Unknown 23 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 27%
Medicine and Dentistry 14 16%
Agricultural and Biological Sciences 10 11%
Nursing and Health Professions 3 3%
Unspecified 2 2%
Other 9 10%
Unknown 26 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 October 2018.
All research outputs
#2,325,083
of 22,849,304 outputs
Outputs from Clinical Epigenetics
#132
of 1,256 outputs
Outputs of similar age
#38,886
of 297,534 outputs
Outputs of similar age from Clinical Epigenetics
#5
of 34 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 89% 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 297,534 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 86% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.