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Promoter hypermethylation of the tumor-suppressor genes ITIH5, DKK3, and RASSF1A as novel biomarkers for blood-based breast cancer screening

Overview of attention for article published in Breast Cancer Research, January 2013
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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1 policy source
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1 X user

Citations

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115 Dimensions

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171 Mendeley
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Title
Promoter hypermethylation of the tumor-suppressor genes ITIH5, DKK3, and RASSF1A as novel biomarkers for blood-based breast cancer screening
Published in
Breast Cancer Research, January 2013
DOI 10.1186/bcr3375
Pubmed ID
Authors

Vera Kloten, Birte Becker, Kirsten Winner, Michael G Schrauder, Peter A Fasching, Tobias Anzeneder, Jürgen Veeck, Arndt Hartmann, Ruth Knüchel, Edgar Dahl

Abstract

ABSTRACT: INTRODUCTION: For early detection of breast cancer, the development of robust blood-based biomarkers that accurately reflect the host tumor is mandatory. We investigated DNA methylation in circulating free DNA (cfDNA) from blood of breast cancer patients and matched controls to establish a biomarker panel potentially useful for early detection of breast cancer. METHODS: We examined promoter methylation of seven putative tumor-suppressor genes (SFRP1, SFRP2, SFRP5, ITIH5, WIF1, DKK3, and RASSF1A) in cfDNA extracted from serum. Clinical performance was first determined in a test set (n = 261 sera). In an independent validation set (n = 343 sera), we validated the most promising genes for further use in early breast cancer detection. Sera from 59 benign breast disease and 58 colon cancer patients were included for additional specificity testing. RESULTS: Based on the test set, we determined ITIH5 and DKK3 promoter methylation as candidate biomarkers with the best sensitivity and specificity. In both the test and validation set combined, ITIH5 and DKK3 methylation achieved 41% sensitivity with a specificity of 93% and 100% in healthy and benign disease controls, respectively. Combination of these genes with RASSF1A methylation increased the sensitivity to 67% with a specificity of 69% and 82% in healthy controls and benign disease controls, respectively. CONCLUSIONS: Tumor-specific methylation of the three-gene panel (ITIH5, DKK3, and RASSF1A) might be a valuable biomarker for the early detection of breast cancer.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
Ukraine 1 <1%
Belgium 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 164 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 30 18%
Student > Master 28 16%
Student > Bachelor 19 11%
Other 13 8%
Other 23 13%
Unknown 24 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 26%
Agricultural and Biological Sciences 43 25%
Medicine and Dentistry 40 23%
Computer Science 5 3%
Chemistry 3 2%
Other 12 7%
Unknown 23 13%
Attention Score in Context

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 01 January 2019.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Breast Cancer Research
#902
of 2,052 outputs
Outputs of similar age
#85,148
of 307,792 outputs
Outputs of similar age from Breast Cancer Research
#8
of 23 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 gotten more attention than average, scoring higher than 54% 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 307,792 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 70% of its contemporaries.
We're also able to compare this research output to 23 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.