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Widespread parainflammation in human cancer

Overview of attention for article published in Genome Biology, July 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
38 X users
facebook
1 Facebook page

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
1 CiteULike
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Title
Widespread parainflammation in human cancer
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-0995-z
Pubmed ID
Authors

Dvir Aran, Audrey Lasry, Adar Zinger, Moshe Biton, Eli Pikarsky, Asaf Hellman, Atul J. Butte, Yinon Ben-Neriah

Abstract

Chronic inflammation has been recognized as one of the hallmarks of cancer. We recently showed that parainflammation, a unique variant of inflammation between homeostasis and chronic inflammation, strongly promotes mouse gut tumorigenesis upon p53 loss. Here we explore the prevalence of parainflammation in human cancer and determine its relationship to certain molecular and clinical parameters affecting treatment and prognosis. We generated a transcriptome signature to identify parainflammation in many primary human tumors and carcinoma cell lines as distinct from their normal tissue counterparts and the tumor microenvironment and show that parainflammation-positive tumors are enriched for p53 mutations and associated with poor prognosis. Non-steroidal anti-inflammatory drug (NSAID) treatment suppresses parainflammation in both murine and human cancers, possibly explaining a protective effect of NSAIDs against cancer. We conclude that parainflammation, a low-grade form of inflammation, is widely prevalent in human cancer, particularly in cancer types commonly harboring p53 mutations. Our data suggest that parainflammation may be a driver for p53 mutagenesis and a guide for cancer prevention by NSAID treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
Portugal 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 113 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 26 22%
Professor 9 8%
Student > Bachelor 7 6%
Student > Doctoral Student 7 6%
Other 20 17%
Unknown 21 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 26%
Agricultural and Biological Sciences 28 24%
Medicine and Dentistry 16 13%
Immunology and Microbiology 6 5%
Computer Science 3 3%
Other 11 9%
Unknown 24 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 07 June 2022.
All research outputs
#429,225
of 25,374,647 outputs
Outputs from Genome Biology
#231
of 4,467 outputs
Outputs of similar age
#8,559
of 370,757 outputs
Outputs of similar age from Genome Biology
#7
of 62 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 94% 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 370,757 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 97% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.