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Correlation of an epigenetic mitotic clock with cancer risk

Overview of attention for article published in Genome Biology, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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2 news outlets
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2 blogs
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21 X users
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1 patent
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2 Facebook pages

Citations

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211 Dimensions

Readers on

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250 Mendeley
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1 CiteULike
Title
Correlation of an epigenetic mitotic clock with cancer risk
Published in
Genome Biology, October 2016
DOI 10.1186/s13059-016-1064-3
Pubmed ID
Authors

Zhen Yang, Andrew Wong, Diana Kuh, Dirk S. Paul, Vardhman K. Rakyan, R. David Leslie, Shijie C. Zheng, Martin Widschwendter, Stephan Beck, Andrew E. Teschendorff

Abstract

Variation in cancer risk among somatic tissues has been attributed to variations in the underlying rate of stem cell division. For a given tissue type, variable cancer risk between individuals is thought to be influenced by extrinsic factors which modulate this rate of stem cell division. To date, no molecular mitotic clock has been developed to approximate the number of stem cell divisions in a tissue of an individual and which is correlated with cancer risk. Here, we integrate mathematical modeling with prior biological knowledge to construct a DNA methylation-based age-correlative model which approximates a mitotic clock in both normal and cancer tissue. By focusing on promoter CpG sites that localize to Polycomb group target genes that are unmethylated in 11 different fetal tissue types, we show that increases in DNA methylation at these sites defines a tick rate which correlates with the estimated rate of stem cell division in normal tissues. Using matched DNA methylation and RNA-seq data, we further show that it correlates with an expression-based mitotic index in cancer tissue. We demonstrate that this mitotic-like clock is universally accelerated in cancer, including pre-cancerous lesions, and that it is also accelerated in normal epithelial cells exposed to a major carcinogen. Unlike other epigenetic and mutational clocks or the telomere clock, the epigenetic clock proposed here provides a concrete example of a mitotic-like clock which is universally accelerated in cancer and precancerous lesions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 249 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 22%
Researcher 51 20%
Student > Postgraduate 26 10%
Student > Bachelor 21 8%
Student > Master 19 8%
Other 34 14%
Unknown 43 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 38%
Agricultural and Biological Sciences 44 18%
Medicine and Dentistry 19 8%
Computer Science 8 3%
Mathematics 4 2%
Other 25 10%
Unknown 55 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 23 December 2021.
All research outputs
#1,041,739
of 25,837,817 outputs
Outputs from Genome Biology
#738
of 4,513 outputs
Outputs of similar age
#19,064
of 331,738 outputs
Outputs of similar age from Genome Biology
#20
of 59 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 83% 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 331,738 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 66% of its contemporaries.