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Circulating nucleosomes as epigenetic biomarkers in pancreatic cancer

Overview of attention for article published in Clinical Epigenetics, October 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,446)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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3 news outlets
blogs
1 blog
twitter
13 X users
patent
6 patents

Citations

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89 Dimensions

Readers on

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105 Mendeley
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Title
Circulating nucleosomes as epigenetic biomarkers in pancreatic cancer
Published in
Clinical Epigenetics, October 2015
DOI 10.1186/s13148-015-0139-4
Pubmed ID
Authors

Monika Bauden, Dorian Pamart, Daniel Ansari, Marielle Herzog, Mark Eccleston, Jake Micallef, Bodil Andersson, Roland Andersson

Abstract

To improve the prognosis of patients with pancreatic cancer, new biomarkers are required for earlier, pre-symptomatic diagnosis. Epigenetic mutations take place at the earliest stages of tumorigenesis and therefore offer new approaches for detecting and diagnosing disease. Nucleosomes are the repeating subunits of DNA and histone proteins that constitute human chromatin. Because of their release into the circulation, intact nucleosome levels in serum or plasma can serve as diagnostic disease biomarkers, and elevated levels have been reported in various cancers. However, quantifying nucleosomes in the circulation for cancer detection has been challenging due to nonspecific elevation in sera of patients with benign diseases. Here, we report for the first time differential, disease-associated epigenetic profiles of intact cell-free nucleosomes (cfnucleosomes) containing specific DNA and histone modifications as well as histone variants circulating in the blood. The study comprised serum samples from 59 individuals, including 25 patients with resectable pancreatic cancer, 10 patients with benign pancreatic disease, and 24 healthy individuals using Nucleosomics(®), a novel ELISA method. Multivariate analysis defined a panel of five serum cfnucleosome biomarkers that gave an area under the curve (AUC) of 0.95 for the discrimination of pancreatic cancer from healthy controls, which was superior to the diagnostic performance of the common pancreatic tumor biomarker, carbohydrate antigen 19-9 (CA 19-9) with an AUC of 0.87. Combining CA 19-9 with a panel of four cfnucleosome biomarkers gave an AUC of 0.98 with an overall sensitivity of 92 % at 90 % specificity. The present study suggests that global epigenetic profiling of cfnucleosomes in serum using a simple NuQ(®) immunoassay-based approach can provide novel diagnostic biomarkers in pancreatic cancer.

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X Demographics

The data shown below were collected from the profiles of 13 X users 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Belgium 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Researcher 20 19%
Student > Bachelor 13 12%
Student > Master 12 11%
Student > Doctoral Student 8 8%
Other 17 16%
Unknown 14 13%
Readers by discipline Count As %
Medicine and Dentistry 26 25%
Biochemistry, Genetics and Molecular Biology 24 23%
Agricultural and Biological Sciences 18 17%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Unspecified 4 4%
Other 9 9%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 10 October 2023.
All research outputs
#907,825
of 25,654,566 outputs
Outputs from Clinical Epigenetics
#37
of 1,446 outputs
Outputs of similar age
#13,191
of 290,329 outputs
Outputs of similar age from Clinical Epigenetics
#5
of 33 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,446 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 97% 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 290,329 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.