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Epigenetic impact of infection on carcinogenesis: mechanisms and applications.

Overview of attention for article published in Genome Medicine, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
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Title
Epigenetic impact of infection on carcinogenesis: mechanisms and applications.
Published in
Genome Medicine, January 2016
DOI 10.1186/s13073-016-0267-2
Pubmed ID
Authors

Naoko Hattori, Toshikazu Ushijima, Hattori, Naoko, Ushijima, Toshikazu

Abstract

Viral and bacterial infections are involved in the development of human cancers, such as liver, nasopharyngeal, cervical, head and neck, and gastric cancers. Aberrant DNA methylation is frequently present in these cancers, and some of the aberrantly methylated genes are causally involved in cancer development and progression. Notably, aberrant DNA methylation can be present even in non-cancerous or precancerous tissues, and its levels correlate with the risk of cancer development, producing a so-called 'epigenetic field for cancerization'. Mechanistically, most viral or bacterial infections induce DNA methylation indirectly via chronic inflammation, but recent studies have indicated that some viruses have direct effects on the epigenetic machinery of host cells. From a translational viewpoint, a recent multicenter prospective cohort study demonstrated that assessment of the extent of alterations in DNA methylation in non-cancerous tissues can be used to predict cancer risk. Furthermore, suppression of aberrant DNA methylation was shown to be a useful strategy for cancer prevention in an animal model. Here, we review the involvement of aberrant DNA methylation in various types of infection-associated cancers, along with individual induction mechanisms, and we discuss the application of these findings for cancer prevention, diagnosis, and therapy.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Argentina 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 21%
Student > Ph. D. Student 17 14%
Student > Master 16 13%
Student > Bachelor 13 11%
Student > Doctoral Student 9 8%
Other 23 19%
Unknown 17 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 23%
Medicine and Dentistry 27 23%
Agricultural and Biological Sciences 19 16%
Nursing and Health Professions 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 14 12%
Unknown 22 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 June 2017.
All research outputs
#3,973,723
of 20,131,764 outputs
Outputs from Genome Medicine
#782
of 1,303 outputs
Outputs of similar age
#75,989
of 366,316 outputs
Outputs of similar age from Genome Medicine
#4
of 9 outputs
Altmetric has tracked 20,131,764 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 366,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.