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From hepatitis to hepatocellular carcinoma: a proposed model for cross-talk between inflammation and epigenetic mechanisms

Overview of attention for article published in Genome Medicine, January 2012
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Title
From hepatitis to hepatocellular carcinoma: a proposed model for cross-talk between inflammation and epigenetic mechanisms
Published in
Genome Medicine, January 2012
DOI 10.1186/gm307
Pubmed ID
Authors

Marion Martin, Zdenko Herceg

Abstract

Inflammation represents the body's natural response to tissue damage; however, chronic inflammation may activate cell proliferation and induce deregulation of cell death in affected tissues. Chronic inflammation is an important factor in the development of hepatocellular carcinoma (HCC), although the precise underlying mechanism remains unknown. Epigenetic events, which are considered key mechanisms in the regulation of gene activity states, are also commonly deregulated in HCC. Here, we review the evidence that chronic inflammation might deregulate epigenetic processes, thus promoting oncogenic transformation, and we propose a working hypothesis that epigenetic deregulation is an underlying mechanism by which inflammation might promote HCC development. In this scenario, different components of the inflammatory response might directly and indirectly induce changes in epigenetic machineries ('epigenetic switch'), including those involved in setting and propagating normal patterns of DNA methylation, histone modifications and non-coding RNAs in hepatocytes. We discuss the possibility that self-reinforcing cross-talk between inflammation and epigenetic mechanisms might amplify inflammatory signals and maintain a chronic state of inflammation culminating in cancer development. The potential role of inflammation-epigenome interactions in the emergence and maintenance of cancer stem cells is also discussed.

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The data shown below were collected from the profile of 1 X user 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 17%
Student > Master 7 13%
Student > Ph. D. Student 7 13%
Other 4 8%
Student > Bachelor 3 6%
Other 9 17%
Unknown 13 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 29%
Medicine and Dentistry 12 23%
Biochemistry, Genetics and Molecular Biology 7 13%
Nursing and Health Professions 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2012.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Genome Medicine
#1,509
of 1,585 outputs
Outputs of similar age
#205,062
of 253,431 outputs
Outputs of similar age from Genome Medicine
#20
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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