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The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer

Overview of attention for article published in Genome Medicine, December 2017
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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 (#11 of 1,458)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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63 news outlets
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15 X users
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2 Facebook pages

Citations

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121 Dimensions

Readers on

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169 Mendeley
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Title
The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer
Published in
Genome Medicine, December 2017
DOI 10.1186/s13073-017-0500-7
Pubmed ID
Authors

Martin Widschwendter, Michal Zikan, Benjamin Wahl, Harri Lempiäinen, Tobias Paprotka, Iona Evans, Allison Jones, Shohreh Ghazali, Daniel Reisel, Johannes Eichner, Tamas Rujan, Zhen Yang, Andrew E. Teschendorff, Andy Ryan, David Cibula, Usha Menon, Timo Wittenberger

Abstract

Despite a myriad of attempts in the last three decades to diagnose ovarian cancer (OC) earlier, this clinical aim still remains a significant challenge. Aberrant methylation patterns of linked CpGs analyzed in DNA fragments shed by cancers into the bloodstream (i.e. cell-free DNA) can provide highly specific signals indicating cancer presence. We analyzed 699 cancerous and non-cancerous tissues using a methylation array or reduced representation bisulfite sequencing to discover the most specific OC methylation patterns. A three-DNA-methylation-serum-marker panel was developed using targeted ultra-high coverage bisulfite sequencing in 151 women and validated in 250 women with various conditions, particularly in those associated with high CA125 levels (endometriosis and other benign pelvic masses), serial samples from 25 patients undergoing neoadjuvant chemotherapy, and a nested case control study of 172 UKCTOCS control arm participants which included serum samples up to two years before OC diagnosis. The cell-free DNA amount and average fragment size in the serum samples was up to ten times higher than average published values (based on samples that were immediately processed) due to leakage of DNA from white blood cells owing to delayed time to serum separation. Despite this, the marker panel discriminated high grade serous OC patients from healthy women or patients with a benign pelvic mass with specificity/sensitivity of 90.7% (95% confidence interval [CI] = 84.3-94.8%) and 41.4% (95% CI = 24.1-60.9%), respectively. Levels of all three markers plummeted after exposure to chemotherapy and correctly identified 78% and 86% responders and non-responders (Fisher's exact test, p = 0.04), respectively, which was superior to a CA125 cut-off of 35 IU/mL (20% and 75%). 57.9% (95% CI 34.0-78.9%) of women who developed OC within two years of sample collection were identified with a specificity of 88.1% (95% CI = 77.3-94.3%). Sensitivity and specificity improved further when specifically analyzing CA125 negative samples only (63.6% and 87.5%, respectively). Our data suggest that DNA methylation patterns in cell-free DNA have the potential to detect a proportion of OCs up to two years in advance of diagnosis and may potentially guide personalized treatment. The prospective use of novel collection vials, which stabilize blood cells and reduce background DNA contamination in serum/plasma samples, will facilitate clinical implementation of liquid biopsy analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 13%
Student > Ph. D. Student 17 10%
Other 16 9%
Student > Bachelor 16 9%
Student > Doctoral Student 14 8%
Other 29 17%
Unknown 55 33%
Readers by discipline Count As %
Medicine and Dentistry 35 21%
Biochemistry, Genetics and Molecular Biology 34 20%
Agricultural and Biological Sciences 10 6%
Computer Science 5 3%
Neuroscience 3 2%
Other 16 9%
Unknown 66 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 506. 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 28 February 2018.
All research outputs
#42,820
of 23,340,595 outputs
Outputs from Genome Medicine
#11
of 1,458 outputs
Outputs of similar age
#1,076
of 442,777 outputs
Outputs of similar age from Genome Medicine
#4
of 32 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done particularly well, scoring higher than 99% 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 442,777 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 99% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.