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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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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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1 policy source
twitter
1 tweeter

Citations

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86 Dimensions

Readers on

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153 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 153 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 146 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 22%
Student > Ph. D. Student 28 18%
Student > Master 27 18%
Student > Bachelor 17 11%
Other 12 8%
Other 20 13%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 28%
Biochemistry, Genetics and Molecular Biology 41 27%
Medicine and Dentistry 38 25%
Computer Science 4 3%
Chemistry 3 2%
Other 10 7%
Unknown 14 9%

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
#5,233,559
of 17,359,532 outputs
Outputs from Breast Cancer Research
#699
of 1,706 outputs
Outputs of similar age
#72,291
of 258,417 outputs
Outputs of similar age from Breast Cancer Research
#5
of 19 outputs
Altmetric has tracked 17,359,532 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 57% 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 258,417 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 19 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 73% of its contemporaries.